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The <strong>Cochrane</strong><br />

<strong>Public</strong> <strong>Health</strong> Group<br />

<strong>Guide</strong> <strong>for</strong> developing a <strong>Cochrane</strong> protocol<br />

This <strong>Guide</strong> has been produced by the <strong>Cochrane</strong> <strong>Public</strong> <strong>Health</strong> Group (CPHG) to<br />

make the process of preparing a protocol <strong>for</strong> a public health review in <strong>Cochrane</strong><br />

<strong>for</strong>mat as clear as possible. The editorial base has developed guidelines that detail<br />

each section of the protocol and what should be included. These guidelines are a<br />

distillation of the <strong>Cochrane</strong> Handbook <strong>for</strong> Systematic Reviews of Interventions,<br />

review group policies, recommendations from the CPHG Editorial Team and also<br />

incorporate the Methodological Standards <strong>for</strong> the Conduct of <strong>Cochrane</strong><br />

Intervention Reviews, released in November 2011.<br />

Please refer to The <strong>Cochrane</strong> Collaboration Training website at<br />

http://training.cochrane.org/ to access online training modules <strong>for</strong> <strong>Cochrane</strong><br />

review authors.


Table of contents<br />

TABLE OF CONTENTS ............................................................................................................................................. - 2 -<br />

GETTING STARTED................................................................................................................................................. - 3 -<br />

FILLING OUT THE PROTOCOL TEMPLATE ............................................................................................................... - 4 -<br />

BACKGROUND ....................................................................................................................................................... - 4 -<br />

Description of the condition .......................................................................................................................... - 4 -<br />

Description of the intervention ...................................................................................................................... - 4 -<br />

How the intervention might work .................................................................................................................. - 4 -<br />

Why it is important to do this review ............................................................................................................. - 5 -<br />

OBJECTIVES .......................................................................................................................................................... - 6 -<br />

Resources ..................................................................................................................................................... - 6 -<br />

METHODS ............................................................................................................................................................ - 6 -<br />

Criteria <strong>for</strong> considering studies <strong>for</strong> this review ............................................................................................... - 6 -<br />

Types of studies ............................................................................................................................................ - 6 -<br />

Types of participants..................................................................................................................................... - 7 -<br />

Types of interventions ................................................................................................................................... - 7 -<br />

Types of outcome measures .......................................................................................................................... - 7 -<br />

SEARCH METHODS ................................................................................................................................................. - 9 -<br />

DATA COLLECTION AND ANALYSIS ............................................................................................................................. - 10 -<br />

Selection of studies ..................................................................................................................................... - 10 -<br />

Data extraction and management .............................................................................................................. - 10 -<br />

Assessment of risk of bias in included studies .............................................................................................. - 12 -<br />

Measures of treatment effect ..................................................................................................................... - 13 -<br />

Unit of analysis issues ................................................................................................................................. - 14 -<br />

Dealing with missing data ........................................................................................................................... - 14 -<br />

Assessment of heterogeneity ...................................................................................................................... - 15 -<br />

Assessment of reporting biases ................................................................................................................... - 15 -<br />

Data synthesis ............................................................................................................................................ - 16 -<br />

Subgroup analysis and investigation of heterogeneity ................................................................................. - 17 -<br />

Sensitivity analysis ...................................................................................................................................... - 17 -<br />

ACKNOWLEDGEMENTS .......................................................................................................................................... - 17 -<br />

CONTRIBUTIONS OF AUTHORS ................................................................................................................................. - 18 -<br />

POTENTIAL CONFLICT OF INTEREST ............................................................................................................................ - 18 -<br />

REFERENCES - OTHER REFERENCES ........................................................................................................................... - 18 -<br />

Additional references .................................................................................................................................. - 18 -<br />

Other published versions of the review ........................................................................................................ - 19 -<br />

REFERENCES ....................................................................................................................................................... - 20 -<br />

APPENDIX 1 – GUIDANCE FOR ESTABLISHING A REVIEW ADVISORY GROUP ....................................................... - 21 -<br />

APPENDIX 2 - PUBLIC HEALTH GROUP EDITORIAL PROCESS ................................................................................ - 24 -<br />

APPENDIX 3 – RISK OF BIAS ASSESSMENT ........................................................................................................... - 26 -<br />

APPENDIX 4 – DATA EXTRACTION AND ASSESSMENT FORM ............................................................................... - 29 -<br />

APPENDIX 5 – CHECKLIST FOR SUBMISSION ........................................................................................................ - 48 -<br />

Last updated: 24 November 2011 - 2 -


Getting started<br />

Now that your title has been registered there are several resources you will need to help you to<br />

complete your protocol. These are listed below and we have provided relevant links throughout<br />

these documents. All are available at www.cochrane.org and www.ims.cochrane.org. If you have<br />

problems downloading these files please contact the Review Group Coordinator. You should also<br />

have received an email notifying you that a user account has now been set up <strong>for</strong> you in Archie.<br />

Once you have activated this account you will be able to check out your review.<br />

1) <strong>Cochrane</strong> Handbook <strong>for</strong> Systematic Reviews of Interventions<br />

The <strong>Cochrane</strong> Handbook explains the Review process (parts have been summarised in this<br />

document but you will need to refer to The <strong>Cochrane</strong> Handbook <strong>for</strong> more complete guidance)<br />

(Higgins and Green 2008). The handbook is incorporated in the RevMan 5.1 software and also<br />

available at http://www.cochrane-handbook.org. This document includes a chapter specific to<br />

public health reviews (Chapter 21).<br />

2) RevMan 5.1<br />

This is the program which you must use to write your protocol and later your review. It is free<br />

software that you can download easily to your computer. A tutorial is accessible from the help<br />

menu in RevMan.<br />

ALL AUTHORS ARE ASKED TO WORK THROUGH THE REVMAN TUTORIAL BEFORE WORKING ON<br />

YOUR PROTOCOL.<br />

3) RevMan user guide<br />

This guide can be accessed as a PDF from the help menu in RevMan and provides a detailed<br />

description about how to use RevMan. You should continue to refer to this user guide throughout<br />

the review production process.<br />

4) <strong>Cochrane</strong> style guide<br />

This guide explains the style conventions <strong>for</strong> a <strong>Cochrane</strong> review.<br />

www.cochrane.org/training/authors-mes/cochrane-style-guide<br />

5) Other resources<br />

There are a number of other resources available to support you. Many are listed on the <strong>Cochrane</strong><br />

<strong>Public</strong> <strong>Health</strong> Group website (http://ph.cochrane.org/resources-and-guidance)<br />

6) Advisory group<br />

The CPHG recommends that all review teams establish a Review Advisory Group (RAG) to advise<br />

them on the scope of their review and its relevance to end-users. One author, usually the lead<br />

author, should take responsibility <strong>for</strong> establishing the RAG prior to commencing work on the<br />

protocol. The CPHG can provide you with assistance in identifying relevant RAG members but<br />

ultimately it is the author team’s responsibility. Appendix 1 outlines guidance <strong>for</strong> establishing and<br />

working with a RAG<br />

Last updated: 24 November 2011 - 3 -


Filling out the protocol template<br />

This document provides advice on what to include in each of the sections presented to review<br />

authors in a RevMan protocol template. The headings described below will align with the set<br />

headings of the protocol template. The advice reflects CPHG editorial policy and following these<br />

guiding principles should ensure fewer modifications are requested at editorial revision stage.<br />

See Appendix 2 <strong>for</strong> an overview of the stages each review goes through prior to publication. You<br />

should also refer to Chapter 4 of the <strong>Cochrane</strong> Handbook as you complete the protocol. This<br />

document does not repeat in<strong>for</strong>mation in the <strong>Cochrane</strong> Handbook but rather provides<br />

supplementary material specific to CPHG requirements.<br />

Background<br />

Description of the condition<br />

This section should describe the condition or issue that the intervention/s under review are<br />

aiming to address, including in<strong>for</strong>mation on the historical, (and perhaps political), social,<br />

economic, geographical and biological perspectives of the problem or issue so as to set a context<br />

<strong>for</strong> the review. This will help to establish the rationale <strong>for</strong> the review and explain the importance<br />

of the questions being asked. It may be appropriate to change this heading to ‘Description of the<br />

Issue’.<br />

Description of the intervention<br />

Define all terms and interventions clearly and try to set a tone that does not pre-judge the value<br />

of the intervention (i.e. the likely effectiveness of the intervention/s). Provision of examples of<br />

interventions and their components here will help the reader gain a better understanding of the<br />

interventions the authors refer to thereafter in the “Types of Interventions” of the Methods<br />

section. The complexity of the intervention in seeking to address the problem or issue (especially<br />

if it is delivered in many different contexts, using different methods and tools or includes many<br />

interventions to meet the desired outcome/s) needs to be acknowledged, even if the review is<br />

only looking at a component of the problem or issue. Areas of uncertainty about the intervention<br />

and issues that may be controversial or the subject of public concern should be highlighted. While<br />

this section may require you to cover technicalities of the intervention, it is important to write<br />

this clearly and in plain language to aid reader comprehension. We recommend including<br />

definitions of key concepts in this section.<br />

How the intervention might work<br />

In this section identify the theoretical underpinnings and refer to literature that identifies a<br />

potential pathway of effect between intervention and outcomes. You might like to include a logic<br />

model here which shows the connections between determinants of health, interventions and<br />

outcomes. Logic models can also help to identify the interventions of interest and important<br />

outcomes, or provide a logical rationale <strong>for</strong> why only a component of an intervention is being<br />

reviewed (and point to where other reviews may need to be carried out to complete the<br />

evidence picture). The following diagram from the published protocol <strong>for</strong> Community-based<br />

Last updated: 24 November 2011 - 4 -


interventions <strong>for</strong> enhancing access to and/or consumption of fruits and vegetable access among<br />

5-18 year olds (Ganann et al 2010) is an example of how a logic model might be constructed.<br />

Why it is important to do this review<br />

Clearly describe the justification <strong>for</strong> doing this review. <strong>Cochrane</strong> reviews should include a focus<br />

on exploring uncertainty about effects and/or uncertainty about effects within particular<br />

subgroups. You should include supporting references to existing and ongoing primary research<br />

and reviews (including non-<strong>Cochrane</strong> reviews) of the research topic, to highlight what has been<br />

learned from past ef<strong>for</strong>ts as well as to point out any inconsistencies, methodological strengths<br />

and weaknesses, and evidence ‘gaps’ that still remain. The contribution of your planned review<br />

should be emphasised by clearly stating the unresolved questions and controversies that will be<br />

addressed. To instruct the end-user on the potential application of review findings, include a brief<br />

statement on how this could in<strong>for</strong>m practice or policy decisions.<br />

This section should be comprehensive but concise (1-2 paragraphs per subsection).<br />

Resources<br />

<strong>Cochrane</strong> Handbook - Chapters 4 and 5<br />

The <strong>Cochrane</strong> <strong>Public</strong> <strong>Health</strong> Group Training Handbook (http://ph.cochrane.org/resourcesand-guidance)<br />

– see How to Ask an Answerable Question<br />

Last updated: 24 November 2011 - 5 -


Objectives<br />

The objective/s of the review should be clear and specific with a precise statement that covers<br />

both intervention/s or exposure/s to be reviewed, the population of interest (e.g. whole<br />

population or particular sub-group/s) and the types of outcome measures of interest. One<br />

sentence may be enough; however, <strong>for</strong> some review questions it may be more appropriate to<br />

break it down into primary and secondary objectives. The intention to identify and report on<br />

adverse consequences or effects of the intervention/s in the review also should be included in<br />

this section.<br />

The objectives should be consistent with the review title.<br />

Resources<br />

Methods<br />

<strong>Cochrane</strong> Handbook – Chapter 4<br />

The purpose of the methods sections of a protocol is to describe how the review will be<br />

conducted and to theoretically allow <strong>for</strong> the review to be replicated by others.<br />

Please refer to the <strong>Cochrane</strong>-Campbell Methods Group Equity Checklist<br />

(http://equity.cochrane.org/sites/equity.cochrane.org/files/uploads/equitychecklist2011.pdf)<br />

throughout the development of your protocol. This highlights methodological aspects to consider<br />

at both the protocol and the review stage to help you identify the impact of interventions on<br />

equity in your review.<br />

Criteria <strong>for</strong> considering studies <strong>for</strong> this review<br />

This section should make it clear how studies will be selected <strong>for</strong> inclusion in the analysis. All<br />

inclusion/exclusion criteria must be explicitly stated within this section, even if mentioned again<br />

elsewhere throughout your protocol. The protocol needs to reflect your intention to include<br />

in<strong>for</strong>mation that will allow the review author, and hence the reader, to judge what factors may<br />

increase or decrease effectiveness, and under what circumstances/contexts. You do not need to<br />

provide any text under this heading. Rather complete each of the sections below. Review authors<br />

should note that if non-randomised studies are to be included detailed descriptions of your<br />

approach will be needed throughout your protocol. Suggestions are provided throughout this<br />

guidance document. Note that any changes to eligibility criteria or outcomes studies will need to<br />

be justified in the review.<br />

Types of studies<br />

In this section you need to list the study designs you will include in your review. Whilst you do not<br />

need to document your study selection in detail, study design/s chosen should be determined by,<br />

and appropriate <strong>for</strong>, the intervention and the research question. You should consider the risk of<br />

bias of each study design and value added to the review. Clear justification <strong>for</strong> choice of eligible<br />

study designs must be included. Randomised controlled trials should be included if they are<br />

feasible <strong>for</strong> the interventions and outcomes of interest. If an RCT is not able to be used as a study<br />

Last updated: 24 November 2011 - 6 -


design due to ethical or other reasons the review needs to be explicit about which study designs<br />

are appropriate to include and why. It may be appropriate to include more than one study design,<br />

even if it is likely that RCTs are available, to increase external validity of the review findings.<br />

Studies should be included irrespective of their publication status, unless explicitly justified in<br />

your protocol.<br />

The CPHG accepts the following study designs as appropriate to the review question: RCTs,<br />

cluster RCTs, non-randomised controlled studies (including controlled be<strong>for</strong>e and after studies<br />

and interrupted time series studies (with three time points be<strong>for</strong>e and after the intervention).<br />

Whilst there are challenges associated with using study labels, authors are encouraged to refer to<br />

Box 13.1.a of the <strong>Cochrane</strong> Handbook to ensure they are clear about the types of study design<br />

descriptors they might find in the literature. You could consider including a list of definitions of<br />

your chosen study designs. The focus <strong>for</strong> eligibility must be on the features of a study’s design,<br />

rather than the design labels used. You should state in this section if you will be collecting and<br />

extracting in<strong>for</strong>mation from qualitative studies emanating from included intervention studies.<br />

Qualitative research studies can be used in the review to help contextualize the major findings,<br />

rather than provide causative understandings. The extent to which you search <strong>for</strong> and include<br />

qualitative studies will depend on the questions you wish to answer in your review.<br />

Types of participants<br />

Clearly describe the population <strong>for</strong> which the intervention under review is targeted at or likely to<br />

have an effect on, and clearly specify inclusion and exclusion criteria <strong>for</strong> your review. These may<br />

be based on individuals or communities. Examples of defining characteristics may be geographic<br />

(e.g. where they live or work), demographic (e.g. age, sex) and/or social factors (e.g. education<br />

level, ‘at-risk’ groups (as specified by the authors). Any restrictions with respect to specific<br />

population characteristics, settings or factors needs to be justified and reflect in<strong>for</strong>mation<br />

presented in the Background section. Many reviews published within the remit of the CPHG will<br />

have community as their participants. Reviews should provide a definition <strong>for</strong> community that is<br />

appropriate <strong>for</strong> the intervention. It is important to distinguish between ‘community-wide’ and<br />

‘community-based’ interventions, if these terms are used in your review.<br />

Types of interventions<br />

List the intervention/s that will be included in the review, and specify clear inclusion and<br />

exclusion criteria (e.g. any essential components, minimum duration of the intervention, etc.).<br />

This section should not describe or define interventions - this detail should be included in the<br />

Background section (Description of the intervention). This section should there<strong>for</strong>e be brief and<br />

outline the types or groups of included interventions, as referred to in the Background section.<br />

Authors should also include a list of the interventions that will be excluded from the review.<br />

Include specific examples of relevant interventions/programs of both included and excluded<br />

studies when possible. If relevant to the inclusion criteria, identify any specific intervention/s<br />

your intervention/s of interest should be compared against (i.e. what the control group will be).<br />

Types of outcome measures<br />

The outcomes you plan to report <strong>for</strong> your review should be pre-specified in your review to avoid<br />

bias in reporting your findings. If possible, you should also define in advance the details of what<br />

will be considered acceptable outcome measures <strong>for</strong> your review and also how outcome<br />

Last updated: 24 November 2011 - 7 -


measures will be selected when there are several possible measures (e.g. multiple definitions,<br />

assessors or scales).<br />

You should include all important outcomes in the protocol, even if you believe there will be<br />

insufficient data present in the existing research to include in the synthesis. As well as potential<br />

benefits, you must consider any potential adverse consequences of the intervention and ensure<br />

that these are addressed in your review. <strong>Public</strong> health questions often have a large number of<br />

outcomes of interest – we encourage authors to think carefully about what the main outcomes of<br />

interest are likely to be <strong>for</strong> end-users. Once you have a complete list of the outcomes of interest,<br />

you should identify a short list of main outcomes. The <strong>Cochrane</strong> Handbook suggests no more<br />

than seven main outcomes should be chosen, however this should be examined on an individual<br />

review basis. These outcomes will be used to summarise the key findings of your completed<br />

review, <strong>for</strong> example in the abstract and Summary of Findings tables (if you include this in your<br />

review). For some review questions, it may be appropriate to summarise findings <strong>for</strong> groups of<br />

similar outcomes.<br />

From among the main outcomes, select a small number of primary outcomes (usually 3 or less).<br />

A primary outcome is of core interest to your review – i.e. the outcome that best answers your<br />

effectiveness question. You should include at least one undesirable outcome (adverse effect),<br />

known or hypothesised, with a rationale <strong>for</strong> why you think these may arise and why they are<br />

important to include in the review.<br />

All other main outcomes become secondary outcomes, along with any other additional outcomes<br />

the review intends to address. These may include unintended outcomes that occur as a result of<br />

the intervention. These are considered helpful in explaining intervention effects or the integrity<br />

of the intervention. If you have a large number of secondary outcomes you should consider the<br />

most appropriate ways of categorising these. If you are planning to include a Summary of<br />

Findings table in your review (not compulsory but strongly recommended in The <strong>Cochrane</strong><br />

Handbook), you should state the outcomes you will be prioritising <strong>for</strong> this here.<br />

For public health reviews, it may often be appropriate to include measures of changes in social<br />

and environmental determinants of population health, as opposed to or in addition to direct<br />

health outcomes. For example, changes in children’s purchasing habits (as a result of new<br />

canteen policies in a school), and reduction in violent behaviour (as a result of adoption of<br />

responsible drinking policies at a sports club).<br />

You must clarify in advance whether any outcomes will be used as criteria <strong>for</strong> including studies<br />

(rather than as a list of the outcomes of interest within included studies). Outcome measure<br />

often do not necessarily <strong>for</strong>m part of the criteria <strong>for</strong> including studies in a review, however some<br />

reviews do legitimately restrict eligibility to specific outcomes. Furthermore, if relevant to your<br />

topic, you may wish to specify requirements <strong>for</strong> the timing of outcome measurement, such as a<br />

minimum period after the intervention be<strong>for</strong>e which an effect would not be detectable (e.g. the<br />

effect of an intervention in pregnant women on the rate of babies born with low birth weight<br />

could not be observable <strong>for</strong> several months after the intervention).<br />

Resources<br />

<strong>Cochrane</strong> Handbook – Chapters 4, 5, 13 and 21<br />

Last updated: 24 November 2011 - 8 -


Chapter 21 in <strong>Cochrane</strong> Handbook on Reviews in <strong>Health</strong> Promotion and <strong>Public</strong> <strong>Health</strong><br />

(www.cochrane-handbook.org)<br />

The <strong>Cochrane</strong> Non-Randomised Studies Methods Group has provided in<strong>for</strong>mation on how<br />

non-randomised studies should be dealt with in <strong>Cochrane</strong> reviews (see Chapter 13 in<br />

<strong>Cochrane</strong> Handbook (www.cochrane-handbook.org).<br />

<strong>Cochrane</strong> Consumers and Communication Group have useful in<strong>for</strong>mation on study<br />

designs at :<br />

www.latrobe.edu.au/cochrane/assets/downloads/StudyQuality<strong>Guide</strong>050307.pdf )<br />

Refer to <strong>Cochrane</strong> <strong>Health</strong> Equity website <strong>for</strong> in<strong>for</strong>mation on assessing issues relevant to<br />

equity, along with a checklist <strong>for</strong> authors that can be used and submitted along with the<br />

draft protocol (http://equity.cochrane.org)<br />

Search methods<br />

Include a description of the search strategy to be used to retrieve studies. You should list the<br />

sources to be searched (e.g. reference databases, personal contacts, hand searches of journals).<br />

At a minimum you should search Medline, Embase and CENTRAL. Include a rationale <strong>for</strong> the<br />

choice of literature sources (e.g. ERIC <strong>for</strong> reviews of educational interventions) if possible and the<br />

years to be covered. It may be useful to refer to your logic model to justify your approach.<br />

Consider including databases relevant <strong>for</strong> health equity. Relevant trial/study registers and<br />

repositories of results must also be included in your search to reduce the risk of publication bias<br />

and identify ongoing studies. Reference lists of included studies and any relevant systematic<br />

reviews identified must also be searched and this should be noted in your protocol.<br />

You should also describe the mechanisms you intend to use or resources that you have available<br />

to enable you to retrieve potentially relevant documents, especially ones that are unpublished<br />

and/or written in languages other than English. For example, you may plan to contact relevant<br />

individuals and organisations <strong>for</strong> in<strong>for</strong>mation about unpublished or ongoing studies. You should<br />

not apply inclusion restrictions based on publication status or language. The CPHG can assist<br />

authors in identifying potential options <strong>for</strong> translations if they are required. You should consider<br />

mechanisms <strong>for</strong> searching grey literature, <strong>for</strong> example using databases such as OpenSIGLE. If<br />

searching restrictions are necessary, a rationale must be provided.<br />

You should at least make a first attempt at a search strategy (ideally utilising an in<strong>for</strong>mation<br />

specialist available to the review author team). The CPHG Trials Search Coordinator, Ruth Turley<br />

(TurleyRL@cardiff.ac.uk) will provide feedback once you have submitted your protocol <strong>for</strong><br />

editorial review. Your protocol should include (as an appendix) a complete electronic search<br />

strategy <strong>for</strong> one database (usually Medline). Consider including terms or concepts in your search<br />

strategy that are relevant <strong>for</strong> health equity. Note that generally CPHG review authors will need to<br />

conduct their own searches. We there<strong>for</strong>e recommend that an in<strong>for</strong>mation specialist be recruited<br />

to the author team. You should outline in your protocol who will conduct the searches.<br />

Resources<br />

<strong>Cochrane</strong> Handbook – Chapters 6 and 21<br />

Chapter 21 in <strong>Cochrane</strong> Handbook on Reviews in <strong>Health</strong> Promotion and <strong>Public</strong> <strong>Health</strong><br />

(www.cochrane-handbook.org)<br />

Last updated: 24 November 2011 - 9 -


Data collection and analysis<br />

Selection of studies<br />

This section should outline how results of the various searches will be assessed <strong>for</strong> inclusion, by<br />

whom and what you will do if more in<strong>for</strong>mation is required to determine eligibility (e.g.<br />

contacting the authors <strong>for</strong> additional in<strong>for</strong>mation or finding a process paper associated with the<br />

study which outlines further in<strong>for</strong>mation). Specify how many review authors will independently<br />

review all abstracts and titles and how disputes regarding inclusion will be resolved (there must<br />

be at least two, and we recommend a third being available to resolve disputes). Specify that all<br />

irrelevant titles should be excluded and that full-text papers will be obtained where titles are<br />

deemed to be relevant or where eligibility is unclear. Again, state how many review authors will<br />

assess these full text papers and how disagreement will be resolved. You should note that you<br />

will keep a record of reasons <strong>for</strong> excluding studies. Documentation regarding inclusion decisions<br />

must be sufficient to complete a PRISMA flow chart and a table of ‘Characteristics of excluded<br />

studies’. If any statistics will be used to determine inter-rater agreement (e.g. using Cohen's<br />

kappa) include these details. Please indicate if articles in a language other than English will be<br />

translated. The reference management software you will be using to manage the records<br />

retrieved from searches of electronic databases should be named. The most commonly used<br />

software programs are Endnote and Reference Manager.<br />

It is common <strong>for</strong> included studies to refer to a process evaluation or other methodological detail<br />

that is published elsewhere in a separate paper. These additional papers must be obtained (when<br />

referred to in the primary paper) and considered as part of the included study. They are likely to<br />

contain important in<strong>for</strong>mation needed to understand the implementation of the intervention and<br />

adequately assess the risk of bias of the study. Multiple reports of the same study must be<br />

collated, so that each study (rather than each paper) is the unit of interest in the review.<br />

Data extraction and management<br />

This section should provide an adequate description of methods used to collect data from<br />

included studies. You should mention how many people will conduct data extraction and how any<br />

disagreements will be resolved. It is highly desirable that that study characteristics are extracted<br />

in duplicate (i.e two review author’s extract data and a third review author be consulted where<br />

there is disagreement), but not essential. It is essential that outcome data is extracted in<br />

duplicate.<br />

You also need to identify the data extraction <strong>for</strong>m/methods you will be using. Appendix 4<br />

provides a sample data extraction <strong>for</strong>m that you can modify to meet the needs of your review. It<br />

is recommended that you pilot your data extraction <strong>for</strong>m, to ensure that all participating authors<br />

are retrieving comparable results, and this should be noted in the protocol. Inclusion of the data<br />

extraction <strong>for</strong>m that your author team has developed would be useful to include as additional<br />

in<strong>for</strong>mation in a figure or additional table.<br />

In the text of the protocol you should include a brief description of the categories of data you<br />

intend to collect. In order to provide essential detail <strong>for</strong> decision makers, in<strong>for</strong>mation about<br />

context, implementation factors, equity, cost and sustainability must be collected from included<br />

studies where available (in addition to data on effectiveness). As mentioned in the above section,<br />

included studies may refer to a process evaluation or other methodological detail that is<br />

Last updated: 24 November 2011 - 10 -


published elsewhere. These additional papers must be obtained and relevant in<strong>for</strong>mation<br />

extracted, as a minimum requirement. In this section of the protocol you should state that you<br />

will collect this in<strong>for</strong>mation (i.e. context, implementation, cost, sustainability etc) and what you<br />

will do with it thereafter. i.e. at a minimum, this in<strong>for</strong>mation should be reported in the<br />

Characteristics of included studies table. If you plan to use this in<strong>for</strong>mation to help synthesise<br />

your findings (<strong>for</strong> example, grouping studies by measure of intensity or level of implementation),<br />

you should state this in your protocol (with the caveat that this would only be done if adequate<br />

data was available). You may also choose to conduct additional searches <strong>for</strong> contextual<br />

in<strong>for</strong>mation, such as implementation factors, cost and sustainability, beyond that linked with<br />

included studies. Any plans to do this should be noted in your protocol.<br />

Within your data extraction <strong>for</strong>m, you should identify studies that report on socio-demographic<br />

characteristics known to be important from an equity perspective. For this process, use the<br />

PROGRESS (Place, Race, Occupation, Gender, Religion, Education, Socioeconomic status, Social<br />

status) framework and, at a minimum, report <strong>for</strong> each included study which of the eight<br />

PROGRESS factors were reported <strong>for</strong> participants at baseline and which were reported at<br />

endpoint. In addition to the PROGRESS framework, also collect whether or not interventions<br />

included particular strategies to address diversity or disadvantage.<br />

We strongly recommend that you incorporate the <strong>Cochrane</strong>-Campbell Methods Group Equity<br />

Checklist in your data extraction <strong>for</strong>m and you should note this in your protocol<br />

(http://equity.cochrane.org/sites/equity.cochrane.org/files/uploads/equitychecklist2011.pdf).<br />

This may help you to identify the impact of interventions on equity later on in your analysis, if this<br />

is an important consideration <strong>for</strong> your review.<br />

In this section you should state that all potential moderators/confounders of study outcomes will<br />

be included in the extraction <strong>for</strong>m (even if some of these characteristics are not expected to be<br />

<strong>for</strong>mally tested or discussed in the final review). Consider potential confounders and adjustment<br />

processes. When extracting data, include this in<strong>for</strong>mation.<br />

It can be helpful to refer to The Quality Assessment Tool <strong>for</strong> Quantitative Studies<br />

(www.myhamilton.ca/nr/rdonlyres/6b3670ac-8134-4f76-a64c-9c39dbc0f768/0/qatool.pdf),<br />

developed by The Effective <strong>Public</strong> <strong>Health</strong> Practice Project (EPHPP), to be used in conjunction with<br />

their Quality Assessment Tool <strong>for</strong> Quantitative Studies Dictionary<br />

(www.myhamilton.ca/nr/rdonlyres/f5944f3b-15a9-46e7-8afd-1cd67628e33d/0/qadictionary.pdf)<br />

to check <strong>for</strong> items that you may wish to consider including as part of your data extraction <strong>for</strong>m. If<br />

you use items from this tool, you need to state this in your protocol.<br />

Document how you intend to handle instances in which a single study of effectiveness provides<br />

data on multiple measures of the same or similar outcomes and you may need to choose what to<br />

report (e.g. when several variations on an outcome are measured (e.g. weight and BMI) or when<br />

the same outcome is measured at multiple points in time). An explanation of the criteria used to<br />

determine whether multiple outcomes from the same or related studies are independent data<br />

points should be included.<br />

Authors of primary studies should be contacted where in<strong>for</strong>mation is missing or clarification is<br />

needed. You should note this in the later section on Dealing with missing data. You should outline<br />

Last updated: 24 November 2011 - 11 -


how you will attempt to avoid duplicate publication bias and state how multiple reports and if<br />

publications of the same study will be assembled and compared <strong>for</strong> duplication, completeness<br />

and possible contradictions.<br />

Please note in this section if you will use RevMan to manage data storage and analysis. If you<br />

intend to use alternative software you must discuss this with the CPHG, and note your intention<br />

in the protocol.<br />

Resources<br />

<strong>Cochrane</strong> Handbook – Chapter 7<br />

Chapter 21 in <strong>Cochrane</strong> Handbook on Reviews in <strong>Health</strong> Promotion and <strong>Public</strong> <strong>Health</strong><br />

(www.cochrane-handbook.org)<br />

Refer to <strong>Cochrane</strong> <strong>Health</strong> Equity website <strong>for</strong> in<strong>for</strong>mation on assessing issues relevant to<br />

equity, along with a checklist <strong>for</strong> authors that can be used and submitted along with the<br />

draft protocol (http://equity.cochrane.org)<br />

Assessment of risk of bias in included studies<br />

In this section, you should provide an adequate description of the tool(s) you will use to assess<br />

the risk of bias of included studies. You should also describe how the tool(s) will be implemented<br />

and the criteria used to assign studies, <strong>for</strong> example, to judgements of low risk, high risk and<br />

unclear risk of bias. The risk of bias assessment must be conducted in duplicate with a clear<br />

process <strong>for</strong> resolving disagreements. Supporting in<strong>for</strong>mation to justify all risk of bias judgements<br />

must be included in the risk of bias tables. You can consider including the source of the<br />

in<strong>for</strong>mation, <strong>for</strong> example, direct quotes from the study paper. If you are only including<br />

randomised controlled trials, we recommend that you use the <strong>Cochrane</strong> Collaboration’s Risk of<br />

Bias (RoB) tool. This includes selection bias, per<strong>for</strong>mance bias, attrition bias, detection bias and<br />

reporting bias. With regard to the assessment of blinding, we recommend that you consider<br />

separately the risk of bias due to lack of blinding <strong>for</strong> (i) participants and study personnel<br />

(per<strong>for</strong>mance bias) and (ii) outcome assessment (detection bias). It is also often appropriate to<br />

consider the risk of bias due to lack of blinding separately <strong>for</strong> different types of outcomes. When<br />

assessing attrition bias, it is recommended to consider the impact of missing data separately <strong>for</strong><br />

different outcomes.<br />

If you are including non-randomised studies we recommend you use the Effective Practice and<br />

Organisation of Care (EPOC) RoB Tool <strong>for</strong> studies with a separate control group instead. This can<br />

be used <strong>for</strong> randomised controlled trials as well as controlled be<strong>for</strong>e and after studies and other<br />

nonrandomised designs that include a control group (with the exception of interrupted time<br />

series studies). This tool includes the standard <strong>Cochrane</strong> RoB tool items as well as an additional<br />

item to consider the likelihood of contamination. Importantly <strong>for</strong> nonrandomised studies, it also<br />

includes additional items to assess the risk of selection bias and subsequent confounding (“were<br />

baseline outcome measurements similar?” and “were baseline characteristics similar?”). We<br />

recommend supplementing this with another additional item, ”did the study authors<br />

appropriately adjust <strong>for</strong> important confounders in their analysis?”.<br />

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If you are including ITS studies we recommend that you assess the risk of bias of these studies<br />

using the EPOC RoB tool <strong>for</strong> ITS study designs which includes four items from the <strong>Cochrane</strong> 'Risk<br />

of bias' tool to assess per<strong>for</strong>mance, attrition, detection and reporting bias as well as the following<br />

additional items relevant <strong>for</strong> ITS studies: “was the intervention independent of other changes?”,<br />

“was the shape of the intervention effect pre-specified?” and “was the intervention unlikely to<br />

affect data collection?”.<br />

Both of the EPOC RoB tools mentioned above can be found on the EPOC website:<br />

http://epocoslo.cochrane.org/sites/epocoslo.cochrane.org/files/uploads/Suggested%20risk%20o<br />

f%20bias%20criteria%20<strong>for</strong>%20EPOC%20reviews.doc as well as guidance <strong>for</strong> how to prepare a<br />

RoB<br />

table:<br />

http://epocoslo.cochrane.org/sites/epocoslo.cochrane.org/files/uploads/How%20to%20prepare<br />

%20a%20risk%20of%20bias%20table%20<strong>for</strong>%20reviews%20that%20include%20more%20than%2<br />

0one%20study%20design.doc. Note that <strong>for</strong> some items in the RoB tool, <strong>for</strong> example blinding, it<br />

may make sense to provide a different assessment <strong>for</strong> different outcomes (<strong>for</strong> example outcome<br />

assessors may be blinded <strong>for</strong> some outcome measures and not others, or some measures may be<br />

more objective/subjective than others). Where appropriate, add additional items into the RoB<br />

table to allow <strong>for</strong> this.<br />

Alternative approaches should be discussed and agreed with your contact editor. See Appendix 3<br />

<strong>for</strong> general in<strong>for</strong>mation on Risk of bias tables (referenced from the <strong>Cochrane</strong> Handbook). This is<br />

an area of methodological development and any new tools will be available on the CPHG website.<br />

In this section you also need to describe the method by which you will summarise the risk of bias<br />

assessments. Rather than at the study level, it is recommended that you do this at the outcome<br />

level. This is due to the fact that the risk of bias may be different <strong>for</strong> different outcomes within<br />

the same study. To do this you can provide an overall risk of bias assessment <strong>for</strong> the main<br />

outcomes within each study, then provide an overall risk of bias assessment <strong>for</strong> relevant<br />

outcomes across studies, so that outcomes will be judged overall as ‘Low’, ‘Medium’ or ‘High’ risk<br />

of bias given overall considerations of the study designs, and the potential impact of the<br />

identified risks noted in the table <strong>for</strong> each study that contributed results <strong>for</strong> that outcome. Also,<br />

consider how you will address risk of bias in the synthesis of your results, considering how<br />

potential study biases might affect your conclusions.<br />

Measures of treatment effect<br />

In this section you should state how outcomes will be reported (e.g. dichotomous data) and how<br />

you will analyse and compare them (e.g. using Risk Ratios). It is likely that a number of<br />

quantitative outcome measures may be identified. You need to firstly identity the types of data<br />

you will obtain from your included study designs. For controlled studies, with continuous data,<br />

we recommend reporting means or changes in mean scores. Weighted mean difference can also<br />

be reported <strong>for</strong> continuous outcomes. Standardised mean differences should be reported when<br />

different studies use different scales to report the same outcome (e.g. quality of life scales).<br />

Where a number of outcome measures are identified, authors should use the ratio of means<br />

method (Friedrich 2008). Dichotomous (or binary) outcomes can expressed as relative risks (RR),<br />

odds ratio (OR) or risk difference (RD), however the CPHG recommends using RR (Deeks 2002).<br />

We also recommend using RR <strong>for</strong> categorical data (e.g. outcomes reported on a short Likert<br />

Last updated: 24 November 2011 - 13 -


scale).<br />

Unit of analysis issues<br />

It can be difficult to identify the unit of analysis issues that may emerge from your included<br />

studies. However, it is important to consider and document in this section what these might be,<br />

based on your included study designs.<br />

Special issues in the analysis of studies with non-standard designs, such as cross-over trials and<br />

cluster-randomised trials, should be described here. Where these studies are not analysed<br />

appropriately this may result in unit of analysis error, <strong>for</strong> example where cluster-randomised<br />

trials are analysed at the individual participant level without taking into account the effect of<br />

clustering. Effects can be recalculated using the approximately correct analysis or by inflating<br />

standard errors which is equivalent to calculating new sample sizes. If you plan to include these<br />

studies you should consult a statistician to identify how unit of analysis errors will be treated, and<br />

note this in the protocol.<br />

If you find studies with multiple intervention groups, you will need to consider and document<br />

how you will deal with multiple groups in your analysis. Report outcomes <strong>for</strong> all groups of interest<br />

in your review, however only include groups that meet the eligibility criteria. If you identify more<br />

than one intervention group of interest, you may need to divide your analysis into pair-wise<br />

comparisons (e.g. Group A vs control, Group B vs control, Group A vs Group B) and conduct a<br />

meta-analysis <strong>for</strong> each comparison, if appropriate to do so. Be careful not to include a group of<br />

participants twice in the same meta-analysis. One way to include two pair-wise comparisons<br />

against the same control group in one meta-analysis is to simply halve the number of participants<br />

in the control group. Document your intentions regarding these issues in this section.<br />

Resources<br />

<strong>Cochrane</strong> Handbook - Chapter 7 and 9 (data extraction and methods of analysis by type<br />

of outcome)<br />

Chapter 21 in <strong>Cochrane</strong> Handbook on Reviews in <strong>Health</strong> Promotion and <strong>Public</strong> <strong>Health</strong><br />

(www.cochrane-handbook.org)<br />

Non-standard designs are discussed in detail in Chapters 9 and 16 of the <strong>Cochrane</strong><br />

Handbook <strong>for</strong> Systematic Reviews of Interventions, including cluster-randomised trials<br />

(Section 16.3), cross-over trials (Section 16.4), and studies with multiple intervention<br />

groups (Section 16.5)<br />

Dealing with missing data<br />

Strategies <strong>for</strong> dealing with missing data should be described in this section. This will principally<br />

include missing in<strong>for</strong>mation on the methods used in included studies, missing participants due to<br />

drop-out (and whether an intention-to-treat analysis will be conducted), and missing statistics<br />

(such as standard deviations or correlation coefficients or where data is reported at baseline but<br />

is not reported at outcome). It may be necessary <strong>for</strong> you to contact authors where data are<br />

missing. Your strategy <strong>for</strong> contacting authors (e.g. using email addresses on the study’s<br />

publication or accessing phone directories from author’s documented affiliated organisation)<br />

should be outlined in the protocol. Section 16.1.2 of the <strong>Cochrane</strong> Handbook outlines the options<br />

available to review authors if missing data is not found. Refer to Section 16.1.2 of The <strong>Cochrane</strong><br />

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Handbook which outlines the options available to review authors if missing data is not found and<br />

state in your protocol which option you will use. The option chosen will depend on what is<br />

practical and whether or not it can be assumed that the data is missing at random.<br />

Resources<br />

<strong>Cochrane</strong> Handbook - Chapter 16 (Sections 16.1 and 16.2)<br />

Assessment of heterogeneity<br />

This section should outline how you plan to assess the heterogeneity (or differences) between<br />

your included studies. It is helpful to consider and refer in this section to methodological<br />

heterogeneity (e.g. how similar or different your included studies are in terms of study design,<br />

types of participants, interventions and outcomes), as well as statistical heterogeneity (i.e<br />

variability in the intervention effects being evaluated in the different studies) which is a<br />

consequence of methodological heterogeneity.<br />

If you plan to conduct a meta-analysis you should consider and document how you will assess<br />

statistical heterogeneity. You should state that this analysis will be used to determine whether it<br />

is suitable to conduct a meta-analysis or to analyse your studies qualitatively. The CPHG<br />

recommend that you should use the I 2 statistic to quantify the level of heterogeneity present.<br />

Review authors may also consider using the Chi square test <strong>for</strong> heterogeneity (p


<strong>Cochrane</strong> Handbook – Chapter 10<br />

Data synthesis<br />

The protocol should outline the procedures you intend to use to analyse and summarise the<br />

study results, including whether or not you intend to carry out meta-analyses. This section should<br />

contain a clear rationale <strong>for</strong> any choices, considering the potential impact of each choice on the<br />

outcomes of the review. Meta-analyses should only be undertaken if participants, interventions<br />

and comparisons are judged to be sufficiently similar to ensure an answer that is meaningful. It<br />

may be useful to organise this section by study type and/or by type of outcome data (e.g.<br />

continuous or binary).<br />

More specifically, if the intention is to carry out a quantitative analysis of results, you should<br />

outline in the protocol:<br />

• the software package that will be used to conduct the analyses (this should<br />

be RevMan and alternatives should be discussed with the CPHG);<br />

• how statistics describing the overall literature will be presented;<br />

• why a particular effect size metric is to be used;<br />

• if adjustments to effect sizes will be made <strong>for</strong> any reason;<br />

• techniques to be used to combine results of separate tests;<br />

• techniques to be used to assess and then analyse variability in findings<br />

across tests.<br />

As a default option, the CPHG recommend using the random-effects model to incorporate<br />

heterogeneity into your meta-analyses (as opposed to the fixed-effect model). The randomeffects<br />

model allows <strong>for</strong> a greater level of natural heterogeneity between studies, assuming that<br />

each study is estimating a unique ‘true’ effect applicable to the time, population and context in<br />

which the study was conducted. Fixed effects meta-analysis may be included in subsequent<br />

sensitivity analysis or when significant justification is provided in the protocol.<br />

For qualitative syntheses (with or without a meta analysis), you need to provide a rationale <strong>for</strong><br />

how you intend to organise studies/findings to arrive at reasonable conclusions and present<br />

in<strong>for</strong>mation in a useful way <strong>for</strong> end-users of the review. For example, you may like to synthesise<br />

studies grouped by the type of intervention, the length of the intervention, the type of outcome,<br />

or by study design. It may be difficult to identify what is most appropriate at protocol stage but<br />

we encourage you to report your anticipated approach or to identify the options <strong>for</strong> analysis and<br />

how the decision on synthesis structure will be reached.<br />

You must include in<strong>for</strong>mation about how you will summarise the findings of the review. Use the<br />

five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness and<br />

publication bias) to assess the quality of the body of evidence <strong>for</strong> each outcome, and to draw<br />

conclusions about the quality of the body of evidence within the text of the review. Note that this<br />

does not mean you have to provide a GRADE rating <strong>for</strong> the quality of the body of evidence (high,<br />

moderate, low, very low), however you must consider the five factors mentioned above in your<br />

review. Be sure to justify and document all assessments so that they can be included in your<br />

review. These factors must be addressed irrespective of whether your review will include a<br />

‘Summary of Findings Table’ (SoFT). If you plan to include a <strong>for</strong>mal SoFT in your review, you<br />

should include this in<strong>for</strong>mation in this section of your protocol. It is good practice to list the<br />

Last updated: 24 November 2011 - 16 -


outcomes (up to seven) that you plan to include within the SoFT, as well as which comparisons<br />

and subgroups will be covered, if appropriate. A SoFT should include the number of participants<br />

and studies <strong>for</strong> each outcome, summarise the intervention effect and include a measure of the<br />

quality of the body of evidence addressing the considerations listed above.<br />

Subgroup analysis and investigation of heterogeneity<br />

In this section you should list your proposed sub-group analyses, selecting key factors that may<br />

differ between or within your included studies, and that you anticipate will be associated with<br />

differences in the effect observed, such as differences in the population, intervention or context<br />

of the studies. These should be restricted in number with a rationale provided <strong>for</strong> each. Issues of<br />

equity may be a key consideration. Include in<strong>for</strong>mation about any <strong>for</strong>mal statistical tests that will<br />

be used to compare subgroups, in the event that there are sufficient studies <strong>for</strong> this to be<br />

meaningful. It may be possible to undertake a meta-regression. Please note if this is an option <strong>for</strong><br />

your review.<br />

Resources<br />

<strong>Cochrane</strong> Handbook – Chapter 9<br />

Campbell and <strong>Cochrane</strong> Equity Methods Group Equity Checklist:<br />

http://equity.cochrane.org/sites/equity.cochrane.org/files/uploads/equitychecklist.pdf<br />

Sensitivity analysis<br />

You should document in this section under what circumstances a sensitivity analysis will be<br />

undertaken. Sensitivity analysis is often confused with subgroup analysis – although they are<br />

different. Sensitivity analysis is undertaken to identify whether review findings are dependent on<br />

the decisions made during the review process, such as about study inclusion/exclusion, the<br />

selection of data to analyse, the analysis methods used, imputed data, and the impact of studies<br />

at high risk of bias. Some examples of decisions that may indicate a need <strong>for</strong> sensitivity analysis<br />

are listed in The <strong>Cochrane</strong> Handbook (Chapter 9, section 9.7). Where it is known in advance that<br />

decisions have been made that may affect the results of the review, sensitivity analysis should be<br />

planned and noted in the protocol. During the course of the review, other study characteristics<br />

may also be identified <strong>for</strong> inclusion in the sensitivity analysis. This is acceptable and should be<br />

stated as a possibility in the protocol.<br />

Resources<br />

<strong>Cochrane</strong> Handbook – Chapter 9<br />

Acknowledgements<br />

Acknowledge any individuals or organisations who may have made a sufficient contribution to<br />

developing the protocol, (e.g. secretarial support, protocol referees, review advisory group<br />

members) but are not included in the Contributions of Authors section. Please ensure you have<br />

obtained permission to name these people in the protocol, otherwise a general acknowledgment<br />

based on roles (‘our advisory group members’, ‘external peer referees of the protocol’). It is not<br />

necessary to acknowledge the support of specific people within the CPHG team who have helped<br />

Last updated: 24 November 2011 - 17 -


you in developing the protocol. A broad acknowledgement of the CPHG team is quite adequate if<br />

you wish to acknowledge the group.<br />

Contributions of authors<br />

Identify who has or will per<strong>for</strong>m each of the following tasks (authors’ initials only):<br />

Draft the protocol<br />

Study selection<br />

Extract data from studies<br />

Enter data into RevMan<br />

Carry out the analysis<br />

Interpret the analysis<br />

Draft the final review<br />

Disagreement resolution<br />

Update the review<br />

Potential conflict of interest<br />

You should report any conflict of interest of any of the authors, which may influence their<br />

judgments in conducting the review, at protocol stage (refer to the summary of the<br />

Collaboration’s policy on conflicts of interest in Chapter 2 (Section 2.6) of the <strong>Cochrane</strong> Handbook<br />

<strong>for</strong> Systematic Reviews of Interventions <strong>for</strong> more in<strong>for</strong>mation). This will include any present or<br />

past affiliations or other involvement in any organisation or entity with an interest in the review<br />

that might lead to a real or perceived conflict of interest. Areas of uncertainty should always be<br />

discussed with the CPHG. Situations that might be perceived by others as being capable of<br />

influencing a review author’s judgements include personal, political, academic and other possible<br />

conflicts, as well as financial conflicts. Authors must state if they have been involved in a study<br />

that may be included in the review.<br />

This section should reflect the in<strong>for</strong>mation contained in authors’ ‘Declarations of interest<br />

statement’ within the Disclosure of Potential Conflicts of Interest Forms. You can access these<br />

<strong>for</strong>ms from within your Revman file by clicking File -> Reports -> Declaration of Interest (you will<br />

receive a reminder from the editorial office to fill out electronically during the course of<br />

completing your protocol if you have not done so already).<br />

If there are no known conflicts of interest, this should be stated explicitly, <strong>for</strong> example, by writing<br />

‘None known’.<br />

References - Other references<br />

Additional references<br />

References cited in the text should be listed here. Other reference categories (such as Included<br />

Studies) are generally not used in a protocol, but will be used in the completed review.<br />

References are referred to throughout the review using a Reference ID, usually comprising the<br />

first author’s surname and year of publication (e.g. Smith 2001), and all references must be linked<br />

Last updated: 24 November 2011 - 18 -


from the text of the protocol using this ID. You can enter the references individually, or import<br />

them from reference management software.<br />

Instructions on entering, importing and linked references are available from the Help menu in<br />

RevMan.<br />

Please run the Citation wizard in Revman, to help identify other <strong>Cochrane</strong> reviews of potential<br />

relevance to your review, to cite where appropriate in the protocol (and review thereafter).<br />

Other published versions of the review<br />

If the review has previously been published (e.g. in a journal or textbook) it should be listed here.<br />

Completing our Checklist<br />

Appendix 5 is a checklist we would like the author team to complete and send back when<br />

submitting their protocol <strong>for</strong> editorial review. This will help ensure you have followed our<br />

guidance and ensure speedier progress through this editorial stage.<br />

Last updated: 24 November 2011 - 19 -


References<br />

Deeks JJ. Issues in the selection of a summary statistic <strong>for</strong> meta-analysis of clinical trials with<br />

binary outcomes. Stat.Med. 21 (11):1575-1600, 2002.<br />

Evans T, Brown H. Road traffic crashes: operationalizing equity in the context of health sector<br />

re<strong>for</strong>m. Inj Control Saf Promot. 2003 Mar-Jun;10(1-2):11-2.<br />

Friedrich JO, Adhikari NKJ, Beyene J. The ratio of means method as an alternative to mean<br />

differences <strong>for</strong> analyzing continuous outcome variables in meta-analysis: A simulation study. BMC<br />

Medical Research Methodology 2008;8(32).<br />

Ganann R, Fitzpatrick-Lewis D, Ciliska D, Dobbins M, Krishnaratne S, Beyers J, Fieldhouse P,<br />

Delgado Noguera MF, Gauvin FP, Tort S, Hams SP, Martinez-Zapata MJ, Wolfenden L, Bonfill Cosp<br />

X, Clay F. Community-based interventions <strong>for</strong> enhancing access to or consumption of fruit and<br />

vegetables (or both) among five to 18-year olds (<strong>Protocol</strong>). <strong>Cochrane</strong> Database of Systematic<br />

Reviews 2010, Issue 8. Art. No.: CD008644. DOI: 10.1002/14651858.CD008644.<br />

Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ<br />

2003; 327(7414):557-60.<br />

Higgins JPT, Green S (editors). <strong>Cochrane</strong> Handbook <strong>for</strong> Systematic Reviews of Interventions<br />

Version 5.0.0 [updated February 2008]. The <strong>Cochrane</strong> Collaboration. 2008. Available from<br />

www.cochrane-handbook.org.<br />

Kavanagh J, Oliver S, Caird J, Tucker H, Greaves A, Harden A, et al. Inequalities and the mental<br />

health of young people: a systematic review of secondary school-based cognitive behavioural<br />

interventions. London: EPPI-Centre, Social Science Research Unit, Institute of Education,<br />

University of London.; 2009.<br />

National <strong>Health</strong> Service: Centre <strong>for</strong> Reviews and Dissemination. Undertaking systematic reviews<br />

of research on effectiveness. CRD's guidance <strong>for</strong> those carrying out or commissioning reviews.<br />

CRD Report Number 4 (2nd Edition). 2001 [cited 2007 19 September]; Available from:<br />

http://www.york.ac.uk/inst/crd/report4.htm.<br />

Rees R, Oliver S, Harden A, Shepherd J, Kavanagh J, Burchett H, et al. Use of an advisory group to<br />

ensure relevance: reflections on participation of stakeholders in a review of sexual health<br />

promotion <strong>for</strong> men who have sex with men (MSM), in XII <strong>Cochrane</strong> Colloquium. 2004: Ottawa,<br />

Canada.<br />

Thomas BH, Ciliska D, Dobbins M, Micucci S. A process <strong>for</strong> systematically reviewing the literature:<br />

providing the research evidence <strong>for</strong> public health nursing interventions. Worldviews Evid Based<br />

Nurs, 2004. 1(3): p. 176-84.<br />

Thompson SG and Pocock SJ. Can meta-analysis be trusted. Lancet 1991 Nov 2;338(8775):1127-<br />

30.<br />

Last updated: 24 November 2011 - 20 -


Appendix 1 – Guidance <strong>for</strong> establishing a Review Advisory<br />

Group<br />

The <strong>Cochrane</strong> Handbook suggests the establishment of Review Advisory Groups to help reviewers<br />

outline the parameters of their review. The establishment and management of an advisory group<br />

can be difficult and potentially time-consuming but it is an important component in the initial<br />

stages of review development and it can help establish appropriate review parameters so that<br />

the end product reflects the needs of end users.<br />

Systematic reviews are likely to be more relevant to the end user and of higher quality if they are<br />

in<strong>for</strong>med by advice from people with a range of experiences, in terms of both the topic and the<br />

methodology (Rees 2004, Thomas 2004, NHS CRD 2001).<br />

This guidance has been developed by the <strong>Cochrane</strong> <strong>Health</strong> Promotion and <strong>Public</strong> <strong>Health</strong> Field.<br />

What is the role of a review advisory group?<br />

Review Advisory Groups are established to help reviewers outline the parameters of their<br />

proposed review to ensure that the end product reflects the needs of its potential readers and<br />

users. Systematic reviews are likely to be more relevant to the end user and of higher quality if<br />

they are in<strong>for</strong>med by advice from people with a range of experiences.<br />

Examples of opinions sought from the review advisory group:<br />

Does the review question seem to capture the essence of the topic under review (will it<br />

sound interesting and useful to its target audience)?<br />

What interventions should be included in the review?<br />

Which populations should be included in the review and which should be excluded?<br />

What types of outcomes should the review include?<br />

How should equity issues be highlighted in the review?<br />

Are the needs of developing countries considered in the review?<br />

How do I establish an advisory group?<br />

The <strong>Cochrane</strong> entities with whom you are involved, especially Fields<br />

(www.cochrane.org/contact/entities.htm#FIELDLIST), may be a useful source of advisory group<br />

members. Many entities keep a database of members tagged with skills, special interests and<br />

expertise. You should email relevant entity contacts and request <strong>for</strong> them to contact relevant<br />

members.<br />

Alternately, it may be appropriate <strong>for</strong> you to make contact directly with potential members with<br />

known interest or expertise in the topic under review. It is important that you have set up tasks<br />

or terms of reference <strong>for</strong> your advisory group prior to making contact with potential members.<br />

This will ensure that roles and responsibilities are known from the outset.<br />

Who should the members of the advisory group be?<br />

Advisory groups are not intended to be another layer of peer-review. Nor are they intended to<br />

assist with technical review support (e.g. statistical expertise). If you require this level of<br />

assistance you should contact your review group or consider recruiting an additional reviewer<br />

Last updated: 24 November 2011 - 21 -


with these skills to assist you. Advisory Group members should only be used to provide contentrelated<br />

support, highlighting what end users of the review will want to have included in the<br />

review. They may be able to direct you to additional studies and/or to provide background<br />

in<strong>for</strong>mation on the topic, particularly within the context of their local situation. This latter point<br />

is a good reason why membership of the advisory group should be inclusive of people from<br />

different parts of the world, to ensure the end review has relevance globally. . Experience by<br />

Effective <strong>Public</strong> <strong>Health</strong> Practice Project in Canada suggests 6 members is an appropriate size <strong>for</strong><br />

the advisory group.<br />

The members of your advisory group will vary depending on your review question. However, it<br />

may be useful to consider members in the following categories:<br />

Consumers (those with whom the intervention/s under review are targeted)<br />

Content experts<br />

Policy-makers<br />

Practitioners (those implementing the intervention/s under review)<br />

Who is responsible <strong>for</strong> coordinating the advisory group?<br />

The lead author should take primary responsibility <strong>for</strong> coordinating the advisory group and<br />

establishing a communication strategy that is acceptable to all (and reflective of the resources<br />

available to the review team) . Contact should be made via the lead author in the first instance.<br />

Lead authors should cc all authors into correspondence with advisory group members. It may also<br />

be appropriate to cc others in (e.g. any <strong>Cochrane</strong> entities with whom you are involved).<br />

What in<strong>for</strong>mation does the lead author need to provide prospective advisory group members<br />

with?<br />

Potential members should be provided with adequate details about the review (title, authors<br />

etc), preferably be<strong>for</strong>e the title is registered with a CRG.<br />

They also may need in<strong>for</strong>mation about the <strong>Cochrane</strong> Collaboration as all members may not be<br />

familiar with <strong>Cochrane</strong> and the review process. Call <strong>for</strong> advisory group members should include a<br />

clearly defined role, remits and boundaries (potentially a terms of reference document) and<br />

timeline of tasks.<br />

What processes need to be established <strong>for</strong> the advisory group to work effectively?<br />

To ensure that your advisory group works effectively it is important that you establish roles and<br />

responsibilities (You may want to <strong>for</strong>malise this in a terms of reference document). This will<br />

ensure that authors and advisory group members are clear about the role of the advisory group.<br />

Again, processes may differ although you should consider the following:<br />

What is the role of each advisory group member (<strong>for</strong> example, will each answer concerns<br />

about their area of expertise or experience only or the whole review)?<br />

What tasks do you want them to complete?<br />

What method of communication will be used and how frequently will the advisory group<br />

members be consulted?<br />

What workload is involved?<br />

Are there timelines that need to be considered?<br />

When does the work of the advisory group end (once the parameters <strong>for</strong> the protocol<br />

have been accepted by the registering CRG?)<br />

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How will advice be managed and what will happen if conflicting advice (or that quite<br />

contrary to the reviewer’s beliefs) is offered?<br />

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Appendix 2 - <strong>Public</strong> <strong>Health</strong> Group editorial process<br />

Registration of title<br />

3-6<br />

months<br />

Integration into<br />

<strong>Public</strong> <strong>Health</strong> Group module<br />

Submission of<br />

<strong>Protocol</strong><br />

(editorial<br />

base)<br />

6-12<br />

months<br />

Submission of<br />

completed<br />

review<br />

(editorial base)<br />

4 weeks<br />

Note:<br />

<strong>Protocol</strong>/review<br />

may undergo 2-3<br />

drafts/reviews<br />

be<strong>for</strong>e<br />

acceptance <strong>for</strong><br />

publication<br />

6-8 weeks<br />

Review andcomments<br />

Review and comments<br />

<strong>Public</strong>ation in<br />

<strong>Cochrane</strong> Library<br />

The overall process of review development can be seen below:<br />

On completion of the draft protocol it should be submitted to the Managing Editor who then<br />

organises <strong>for</strong> an internal review of the protocol by your assigned Contact editor, methods<br />

advisor, statistical editor, the trial search coordinator and, if appropriate, the CPHG’s developing<br />

countries editorial consultant. All the comments are compiled and sent to the author. Prompt<br />

reply and amendment will ensure timely progression to the next stage – external review.<br />

Generally 3-4 external referees are recruited (composing of content experts,potential end users<br />

and if appropriate and possible, a consumer). Once these referees have agreed to referee the<br />

protocol the relevant documents are sent and there is an understanding that the comments<br />

should be returned to the CPHG within two weeks.<br />

All the comments are compiled by the Contact editor (with guiding comments added) and sent to<br />

the author. Again, prompt reply and amendment will ensure quicker inclusion into The <strong>Cochrane</strong><br />

Library. On resubmission, the Contact editor and the Coordinating Editor will then review the<br />

changes. Once the changes have been approved, the protocol will be sent to Wiley Publishes <strong>for</strong><br />

copy editing and thereafter the protocol marked by the Managing Editor <strong>for</strong> publication.<br />

Thereafter all authors will be sent a Permission to Publish Form, along with the final version of<br />

the protocol <strong>for</strong> approval, to sign. The protocol can NOT be published until this <strong>for</strong>m is signed<br />

(electronically) by ALL authors (there<strong>for</strong>e all authors need to be available to do so be<strong>for</strong>e<br />

publication deadline).<br />

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The same editorial processes apply <strong>for</strong> review development and publication.<br />

Last updated: 24 November 2011 - 25 -


Appendix 3 – Risk of bias assessment<br />

See Table 8.5.c (Criteria <strong>for</strong> judging risk of bias in the ‘Risk of bias’ assessment tool) in <strong>Cochrane</strong> Handbook<br />

<strong>for</strong> Systematic Reviews of Interventions.<br />

Extract from <strong>Cochrane</strong> EPOC Data Collection Checklist <strong>for</strong> assessing risk of bias in controlled studies and<br />

ITS<br />

Source:<br />

http://epocoslo.cochrane.org/sites/epocoslo.cochrane.org/files/uploads/Suggested%20risk%20o<br />

f%20bias%20criteria%20<strong>for</strong>%20EPOC%20reviews.doc<br />

6.4.1 Risk of bias <strong>for</strong> studies with a separate control group (RCTs, CCTs, CBAs)<br />

Nine standard criteria are used <strong>for</strong> all RCTs, CCTs and CBAs. Further in<strong>for</strong>mation can be obtained from the <strong>Cochrane</strong><br />

handbook section on Risk of Bias and from the draft methods paper on risk of bias under the EPOC specific resources<br />

section of the EPOC website.<br />

Was the allocation sequence adequately generated?<br />

Score “Yes” if a random component in the sequence generation process is described (eg Referring to a random number table).<br />

Score ”No” when a nonrandom method is used (eg per<strong>for</strong>med by date of admission). CCTs and CBAs should be scored “No”. Score<br />

“unclear” if not specified in the paper.<br />

Was the allocation adequately concealed?<br />

Score “Yes” if the unit of allocation was by institution, team or professional and allocation was per<strong>for</strong>med on all units at the start<br />

of the study; or if the unit of allocation was by patient or episode of care and there was some <strong>for</strong>m of centralised randomisation<br />

scheme, an on-site computer system or sealed opaque envelopes were used. CBAs should be scored “No”. Score “unclear” if not<br />

specified in the paper.<br />

Were baseline outcome measurements similar?*<br />

Score “Yes” if per<strong>for</strong>mance or patient outcomes were measured prior to the intervention, and no important differences were<br />

present across study groups. In RCTs, score “Yes” if imbalanced but appropriate adjusted analysis was per<strong>for</strong>med (e.g. Analysis of<br />

covariance). Score “No” if important differences were present and not adjusted <strong>for</strong> in analysis.** If RCTs have no baseline<br />

measure of outcome, score “Unclear”.**<br />

Were baseline characteristics similar?<br />

Score “Yes” if baseline characteristics of the study and control providers are reported and similar. Score “Unclear” if it is not<br />

clear in the paper (e.g. characteristics are mentioned in text but no data were presented). Score “No” if there is no report of<br />

characteristics in text or tables or if there are differences between control and intervention providers. Note that in some cases<br />

imbalance in patient characteristics may be due to recruitment bias whereby the provider was responsible <strong>for</strong> recruiting patients<br />

into the trial.<br />

Were incomplete outcome data adequately addressed?*<br />

Score “Yes” if missing outcome measures were unlikely to bias the results (e.g. the proportion of missing data was similar in the<br />

intervention and control groups or the proportion of missing data was less than the effect size i.e. unlikely to overturn the study<br />

result). Score “No” if missing outcome data was likely to bias the results. Score “Unclear” if not specified in the paper (Do not<br />

assume 100% follow up unless stated explicitly).<br />

Was knowledge of the allocated interventions adequately prevented during the study? *<br />

Score “Yes” if the authors state explicitly that the primary outcome variables were assessed blindly, or the outcomes are<br />

objective, e.g. length of hospital stay. Primary outcomes are those variables that correspond to the primary hypothesis or<br />

question as defined by the authors. Score “No” if the outcomes were not assessed blindly. Score “unclear” if not specified in the<br />

paper.<br />

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Was the study adequately protected against contamination?<br />

Score “Yes” if allocation was by community, institution or practice and it is unlikely that the control group received the<br />

intervention. Score “No” if it is likely that the control group received the intervention (e.g. if patients rather than professionals<br />

were randomised). Score “unclear” if professionals were allocated within a clinic or practice and it is possible that communication<br />

between intervention and control professionals could have occurred (e.g. physicians within practices were allocated to<br />

intervention or control)<br />

Was the study free from selective outcome reporting?<br />

Score “Yes” if there is no evidence that outcomes were selectively reported (e.g. all relevant outcomes in the methods section are<br />

reported in the results section). Score “No” if some important outcomes are subsequently omitted from the results. Score<br />

“unclear” if not specified in the paper.<br />

Was the study free from other risks of bias?<br />

Score “Yes” if there is no evidence of other risk of biases<br />

* If some primary outcomes were imbalanced at baseline, assessed blindly or affected by missing data and others were not, each<br />

primary outcome can be scored separately.<br />

**If “UNCLEAR” or “No”, but there is sufficient data in the paper to do an adjusted analysis (e.g. Baseline adjustment analysis or<br />

Intention to treat analysis) the criteria should be re scored to “Yes”.<br />

6.4.2 Risk of bias <strong>for</strong> interrupted time series studies<br />

Seven standard criteria are used <strong>for</strong> all ITS studies. Further in<strong>for</strong>mation can be obtained from the <strong>Cochrane</strong><br />

handbook section on Risk of Bias and from the draft methods paper on risk of bias under the EPOC specific resources<br />

section of the EPOC website.<br />

Note: If the ITS study has ignored secular (trend) changes and per<strong>for</strong>med a simple t-test of the pre versus post<br />

intervention periods without further justification, the study should not be included in the review unless reanalysis is<br />

possible.<br />

Was the intervention independent of other changes?<br />

Score “Yes” if there are compelling arguments that the intervention occurred independently of other changes over time and the<br />

outcome was not influenced by other confounding variables/historic events during study period. If Events/variables identified,<br />

note what they are. Score “NO” if reported that intervention was not independent of other changes in time.<br />

Was the shape of the intervention effect pre-specified?<br />

Score ”Yes” if point of analysis is the point of intervention OR a rational explanation <strong>for</strong> the shape of intervention effect was given<br />

by the author(s). Where appropriate, this should include an explanation if the point of analysis is NOT the point of<br />

intervention;Score “No” if it is clear that the condition above is not met<br />

Was the intervention unlikely to affect data collection?<br />

Score “Yes” if reported that intervention itself was unlikely to affect data collection (<strong>for</strong> example, sources and methods of data<br />

collection were the same be<strong>for</strong>e and after the intervention); Score “No” if the intervention itself was likely to affect data<br />

collection (<strong>for</strong> example, any change in source or method of data collection reported).<br />

Was knowledge of the allocated interventions adequately prevented during the study?***<br />

Score “Yes” if the authors state explicitly that the primary outcome variables were assessed blindly, or the outcomes are<br />

objective, e.g. length of hospital stay. Primary outcomes are those variables that correspond to the primary hypothesis or<br />

question as defined by the authors. Score “No” if the outcomes were not assessed blindly. Score “unclear” if not specified in the<br />

paper.<br />

Were incomplete outcome data adequately addressed?***<br />

Last updated: 24 November 2011 - 27 -


Score “Yes” if missing outcome measures were unlikely to bias the results (e.g. the proportion of missing data was similar in the<br />

pre- and post-intervention periods or the proportion of missing data was less than the effect size i.e. unlikely to overturn the<br />

study result). Score “No” if missing outcome data was likely to bias the results. Score “Unclear” if not specified in the paper (Do<br />

not assume 100% follow up unless stated explicitly).<br />

Was the study free from selective outcome reporting?<br />

Score “Yes” if there is no evidence that outcomes were selectively reported (e.g. all relevant outcomes in the methods section are<br />

reported in the results section). Score “No” if some important outcomes are subsequently omitted from the results. Score<br />

“unclear” if not specified in the paper.<br />

Was the study free from other risks of bias?<br />

Score “Yes” if there is no evidence of other risk of biases.<br />

e.g. should consider if seasonality is an issue (i.e. if January to June comprises the pre-intervention period and july to December<br />

the post, could the “seasons’ have caused a spurious effect).<br />

*** If some primary outcomes were assessed blindly or affected by missing data and others were not, each primary outcome can<br />

be scored separately.<br />

Last updated: 24 November 2011 - 28 -


Appendix 4 – Data Extraction and Assessment Form<br />

This <strong>for</strong>m is to be modified in keeping with the following instructions. Some questions may be<br />

changed from open-ended questions to specific data items where appropriate. Refer to the<br />

<strong>Cochrane</strong> Handbook when undertaking modifications to this <strong>for</strong>m.<br />

Sections can be expanded and irrelevant sections can be removed. It is difficult to design a single<br />

<strong>for</strong>m that meets the needs of all reviews. It is there<strong>for</strong>e important that you consider your needs<br />

carefully prior to data extraction and pilot your process. Elements within the template are not<br />

intended <strong>for</strong> use as a scoring system, but rather suggests elements which should be addressed in<br />

the Table of Included Studies and Comparisons and Data in RevMan. The components of the Risk<br />

of Bias Table have been incorporated into this <strong>for</strong>m. If you are using an additional quality<br />

assessment tool you will need to add appropriate questions to reflect the additional components.<br />

Notes on using a data extraction <strong>for</strong>m:<br />

Pilot the Data Extraction Form you plan on using (and note in your protocol that it will, or has,<br />

been piloted)<br />

Be consistent in the order and style you use to describe the in<strong>for</strong>mation. This will make it<br />

easier to complete the Table of Included Studies, prevent you from overlooking in<strong>for</strong>mation<br />

and make reading of the review easier.<br />

Highlight any missing in<strong>for</strong>mation as unclear or not described, to make it clear to the reader<br />

of your review that the in<strong>for</strong>mation was not included in the description of the study, not that<br />

you <strong>for</strong>got to extract it.<br />

You should include instructions and decision rules on the data collection <strong>for</strong>m. It is crucial that<br />

you practice using the <strong>for</strong>m and receive, or give, training if the <strong>for</strong>m was designed by<br />

someone other than the person using it.<br />

Assessment of Risk of Bias has been adapted from <strong>Cochrane</strong> Handbook Table 8.5.a: The<br />

<strong>Cochrane</strong> Collaboration’s tool <strong>for</strong> assessing risk of bias.<br />

http://epocoslo.cochrane.org/sites/epocoslo.cochrane.org/files/uploads/How%20to%20prepare<br />

%20a%20risk%20of%20bias%20table%20<strong>for</strong>%20reviews%20that%20include%20more%20than%2<br />

0one%20study%20design.doc. Criteria <strong>for</strong> judging risk of bias as well as examples of appropriate<br />

methods of addressing each <strong>for</strong>m of bias are provided in Chapter 8 of the <strong>Cochrane</strong> Handbook,<br />

particularly Table 8.5.c. For tips on how to enter data into RevMan 5, see “Risk of Bias” tables in<br />

the RevMan User <strong>Guide</strong>.<br />

Last updated: 24 November 2011 - 29 -


Data Extraction and Assessment Form – template (cut and paste and modify to suit your<br />

review)<br />

Study ID: Report ID : Date <strong>for</strong>m completed:<br />

First author: Year of study: Data extractor:<br />

Citation:<br />

1. General In<strong>for</strong>mation<br />

<strong>Public</strong>ation type<br />

Journal Article Abstract Other (specify e.g. book chapter)___________________<br />

Country of study:<br />

Funding source of study:<br />

Potential conflict of interest from funding? Y / N / unclear<br />

2. Study Eligibility<br />

Study Characteristics<br />

Page/<br />

Para/<br />

Figure #<br />

Type of study<br />

(Review authors<br />

to add/remove<br />

designs based on<br />

criteria specified<br />

in protocol)<br />

Randomised Controlled Trial (RCT)<br />

Cluster Randomised Controlled Trial<br />

(cluster RCT)<br />

Interrupted Time Series (ITS)<br />

At least 1 time point be<strong>for</strong>e<br />

and 1 after the intervention<br />

Clearly defined intervention<br />

point<br />

A process evaluation of an included<br />

study design<br />

Description in text:<br />

Controlled Be<strong>for</strong>e and After (CBA) study<br />

Contemporaneous data collection<br />

Comparable control site<br />

At least 2 x intervention and 2 x<br />

control clusters<br />

Other design (specify):<br />

Does the study design meet the criteria <strong>for</strong><br />

inclusion?<br />

Yes <br />

No Exclude Unclear <br />

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Participants<br />

(Review authors<br />

insert inclusion<br />

criteria as<br />

defined in<br />

<strong>Protocol</strong>)<br />

Describe the participants included:<br />

Are participants defined as a group<br />

having specific social or cultural<br />

characteristics?<br />

How is the geographic boundary<br />

defined?<br />

Do the participants meet the criteria<br />

<strong>for</strong> inclusion?<br />

Yes No Unclear <br />

Details:<br />

Details:<br />

Specific location (e.g. state / country):<br />

Yes No Exclude Unclear <br />

Types of<br />

intervention<br />

(Review authors<br />

insert inclusion<br />

criteria as<br />

defined in<br />

<strong>Protocol</strong>)<br />

Duration of<br />

intervention<br />

Types of<br />

outcome<br />

measures<br />

(Review authors<br />

insert inclusion<br />

criteria as<br />

defined in<br />

<strong>Protocol</strong>)<br />

Strategies included in the<br />

intervention<br />

Focus of the intervention<br />

Does the intervention meet the<br />

criteria <strong>for</strong> inclusion?<br />

Yes No Exclude Unclear <br />

Start date: Stop date: Intervention duration:<br />

Is the duration of intervention<br />

adequate <strong>for</strong> inclusion?<br />

List outcomes:<br />

Outcome measured at a population<br />

level or individual level?<br />

Do the outcome measures meet the<br />

criteria <strong>for</strong> inclusion?<br />

Yes No Exclude Unclear <br />

Details:<br />

Yes No Exclude Unclear <br />

Last updated: 24 November 2011 - 31 -


Summary of Assessment <strong>for</strong> Inclusion<br />

Include in review <br />

Exclude from review <br />

Independently assessed, and then compared?<br />

No <br />

Yes <br />

Differences resolved<br />

Yes No <br />

Request further details? Yes No Contact details of authors:<br />

Notes:<br />

DO NOT PROCEED IF PAPER EXCLUDED FROM REVIEW<br />

3. Study details<br />

Study intention Descriptions as stated in the report/paper Page/<br />

Para/<br />

Figure #<br />

Aim of intervention What was the problem that this intervention was designed to address?<br />

Aim of study<br />

What was the study designed to assess? Are these clearly stated?<br />

Equity pointer:<br />

Social context of<br />

the study<br />

Start and end date<br />

of the study<br />

Total study<br />

duration<br />

e.g. was study conducted in a particular setting that might target/exclude specific<br />

population s? See also Inclusion/exclusion criteria under Methods, below.<br />

Identify which elements of planning of the intervention should be included<br />

Methods Descriptions as stated in the report/paper Page/<br />

Para/<br />

Figure #<br />

Method/s of recruitment of participants<br />

(How were potential participants approached and<br />

invited to participate? Where were participants<br />

recruited from? Does this differ from the intervention<br />

setting?)<br />

Inclusion/exclusion criteria <strong>for</strong> participation in study<br />

Representativeness of sample: Are participants in the<br />

study likely to be representative of the target<br />

population?<br />

Total number of intervention groups<br />

Assumed risk estimate<br />

(e. .baseline or population risk noted in Background)<br />

Sample size calculation:<br />

What assumptions were made?<br />

Were these assumptions appropriate?<br />

References:<br />

(Yes/No/Unclear)<br />

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What was the unit of randomisation?<br />

Allocation by individuals or cluster/groups<br />

What was the unit of analysis?<br />

Is this the same as the unit of randomisation?<br />

Statistical methods used and appropriateness of<br />

these methods<br />

(Yes/No/Unclear)<br />

(Check with your statistician if unsure about<br />

appropriateness)<br />

Results<br />

Participants<br />

Include if relevant<br />

Include in<strong>for</strong>mation <strong>for</strong> each group (i.e. intervention and controls)<br />

under study<br />

Page/<br />

Para/<br />

Figure #<br />

What percentage of selected<br />

individuals agreed to<br />

participate?<br />

Total number randomised (or<br />

total pop. at start of study <strong>for</strong><br />

NRCTs)<br />

Number allocated to each<br />

intervention group (no. of<br />

individuals)<br />

For cluster trials, number of<br />

clusters, number of people per<br />

cluster<br />

Where there any significant<br />

baseline imbalances?<br />

Number and reason <strong>for</strong> (and<br />

sociodemographic differences<br />

of) withdrawals and exclusions<br />

<strong>for</strong> each intervention group<br />

Were patients who entered the<br />

study adequately accounted<br />

<strong>for</strong>?<br />

What percentage of patients<br />

completed the study?<br />

What percentage of participants<br />

received the allocated<br />

intervention or exposure of<br />

interest?<br />

Is the analysis per<strong>for</strong>med by<br />

intervention allocation status<br />

(intention to treat) rather than<br />

the actual intervention<br />

received? Have any attempts<br />

been made to impute missing<br />

data?<br />

Age (median, mean and range if<br />

possible)<br />

Sex<br />

Yes <br />

Details:<br />

No Unclear <br />

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Race/Ethnicity<br />

Principal health problem (incl.<br />

stage of illness)<br />

Diagnostic criteria<br />

Co-morbidity<br />

Other sociodemographics (eg.<br />

Educational level, literacy level,<br />

soci-economic status, first<br />

language. Also consider possible<br />

proxies <strong>for</strong> these e.g. low<br />

baseline nutritional status )<br />

PROGRESS categories reported<br />

at baseline (indicate letters of<br />

those reported: Place of<br />

residence, race, occupation,<br />

gender, religion, education, SES,<br />

social capital)<br />

Subgroups<br />

Enter a description of any participant subgroups from this paper to<br />

be analysed in the review.<br />

Intervention Group 1<br />

(copy and paste table <strong>for</strong> each Intervention group)<br />

Group name: (State brief name <strong>for</strong> this intervention group.) Page/<br />

Para/<br />

Figure #<br />

Details of intervention or control condition (Include if relevant in sufficient detail <strong>for</strong> replication)<br />

Setting eg multicentre, university<br />

teaching hospitals, rural,<br />

metropolitan, school, workplace,<br />

community, GP clinic, etc.<br />

Theoretical basis (include key<br />

references)<br />

Content (list the strategies<br />

intended and delivered)<br />

Did the intervention include<br />

strategies to address<br />

diversity/disadvantage?<br />

Delivery (eg. Stages (sequential<br />

or simultaneous), timing,<br />

frequency, duration, intensity,<br />

Enter a description of any relevant strategies<br />

Last updated: 24 November 2011 - 34 -


fidelity – process indicators)<br />

Providers (who, number,<br />

education/training in<br />

intervention delivery, ethnicity<br />

etc. if potentially relevant to<br />

acceptance and uptake by<br />

participants<br />

Co-interventions<br />

Duration of intervention<br />

Duration of follow-up<br />

Was sustainability discussed by the<br />

authors? Was is a consideration in<br />

study development?<br />

Economic variables<br />

ie costs of the intervention, and<br />

changes in other (eg health care)<br />

costs as result of intervention<br />

Other economic in<strong>for</strong>mation (from a<br />

societal, non-healthcare view – e.g.<br />

lost wages, time)<br />

Yes List in Outcome section if appropriate<br />

No Unclear <br />

Details:<br />

Yes <br />

No <br />

Details:<br />

Resource requirements to replicate<br />

intervention (e.g. staff numbers,<br />

hours of implementation,<br />

equipment?)<br />

Subgroups<br />

What are the moderators/mediators<br />

of changes stated in the study?<br />

Do the authors describe any political<br />

or organisational context?<br />

Were any partnerships referred to?<br />

Was a process evaluation<br />

conducted?<br />

Control/comparison (what<br />

in<strong>for</strong>mation is provided about what<br />

the control or comparison group<br />

received?)<br />

Enter a description of any intervention subgroups from this report to<br />

be analysed in the review.<br />

List relevant dot points<br />

List these as dot points<br />

What components were included in the process evaluation? (eg.<br />

dose, frequency, consistency, implemented as intended etc)<br />

Enter a description of what was provided <strong>for</strong> the control group, if<br />

applicable<br />

Outcomes<br />

(This table is set up <strong>for</strong> 2 outcome measure to save spaces, copy and paste table as often as required)<br />

Costs associated with the intervention can be linked with provider or participant outcomes in an<br />

economic evaluation (depends on the type of economic evaluation)<br />

Last updated: 24 November 2011 - 35 -


Question Outcome 1 Page/<br />

Para/<br />

Figure #<br />

Is there an analytic<br />

framework applied (e.g.<br />

logic model, conceptual<br />

framework)?<br />

Outcome definition<br />

(with diagnostic criteria<br />

if relevant)<br />

Type of outcome: Is this<br />

a modifiable variable<br />

(Community level,<br />

neighbourhood level,<br />

individual level) or<br />

desired health outcome<br />

Time points measured<br />

Time points reported<br />

Is there adequate<br />

latency <strong>for</strong> the outcome<br />

to be observed?<br />

Is the measure repeated<br />

on the same individuals<br />

or redrawn from the<br />

population / community<br />

<strong>for</strong> each time point?<br />

Unit of measurement (if<br />

relevant)<br />

For scales – upper and<br />

lower limits and indicate<br />

whether high or low<br />

score is good<br />

How is the measure<br />

applied? Telephone<br />

survey, mail survey, in<br />

person by trained<br />

assessor, routinely<br />

collected data, other<br />

How is the outcome<br />

reported? Self or study<br />

assessor<br />

Is this outcome/tool<br />

validated?<br />

…And has it been used<br />

as validated?<br />

Is it a reliable outcome<br />

measure?<br />

Is there adequate power<br />

<strong>for</strong> this outcome?<br />

Outcome 2<br />

Page/<br />

Para/<br />

Figure #<br />

Last updated: 24 November 2011 - 36 -


Were PROGRESS<br />

categories analysed by<br />

outcome? Indicate the<br />

letters of those that<br />

outcomes were<br />

analysed by (place of<br />

residence, race,<br />

occupation, gender,<br />

religion, education, SES,<br />

social capital)<br />

Last updated: 24 November 2011 - 37 -


Results<br />

Copy and paste the appropriate table <strong>for</strong> each outcome and subgroup at each timepoint,<br />

including baseline<br />

For RCT/CCT<br />

Dichotomous outcome<br />

Comparison<br />

Outcome<br />

Subgroup<br />

Timepoint<br />

Results Intervention Comparison<br />

Events No. participants Events No. participants<br />

page/para/fig<br />

No. of missing<br />

participants<br />

and reasons<br />

Any other<br />

results<br />

reported<br />

Reanalysis<br />

required?<br />

(specify -<br />

(e.g. correlation<br />

adjustment)<br />

Reanalysis<br />

possible?<br />

Reanalysed<br />

results<br />

yes/no/unclear<br />

For RCT/CCT<br />

Continuous outcome<br />

Comparison<br />

Outcome<br />

Subgroup<br />

Timepoint<br />

Postintervention<br />

or change<br />

from<br />

baseline?<br />

Results Intervention Comparison<br />

Mean<br />

SD (or<br />

other<br />

variance)<br />

No.<br />

participants<br />

Mean<br />

SD (or<br />

other<br />

variance)<br />

No. participants<br />

page/para/fig<br />

No. missing<br />

participants<br />

and reasons<br />

Any other<br />

results<br />

Last updated: 24 November 2011 - 38 -


eported<br />

Reanalysis<br />

required?<br />

(specify)<br />

Reanalysis<br />

possible?<br />

Reanalysed<br />

results<br />

yes/no/unclear<br />

For RCT/CCT<br />

Generic inverse variance method<br />

Comparison<br />

Outcome<br />

Subgroup<br />

Timepoint<br />

Results Effect estimate SE (or other variance) Intervention no. Control no.<br />

Page/para/figure<br />

No. missing<br />

participants<br />

and reasons<br />

Any other<br />

results<br />

reported<br />

Reanalysis<br />

required?<br />

(specify)<br />

Reanalysis<br />

possible?<br />

Reanalysed<br />

results<br />

For CBA<br />

Comparison<br />

Assignment<br />

yes/no/unclear<br />

How were control and treatment groups selected?? Is there likely to be an<br />

effect if these were the opposite way?<br />

Page/para/fig<br />

Outcome<br />

Subgroup<br />

Timepoint<br />

Postintervention<br />

or<br />

change from<br />

baseline?<br />

No.<br />

participants<br />

measured<br />

Contemporaneous data collection?<br />

Intervention<br />

Comparison<br />

Last updated: 24 November 2011 - 39 -


No. missing<br />

participants<br />

and reasons<br />

Baseline result<br />

(with variance<br />

measure)<br />

Postintervention<br />

results (with<br />

variance<br />

measure)<br />

Change (Post –<br />

baseline) (with<br />

variance<br />

measure)<br />

Difference in<br />

change<br />

(intervention –<br />

control) (with<br />

variance<br />

measure)<br />

Any other<br />

results<br />

reported<br />

Reanalysis<br />

required?<br />

(specify)<br />

Reanalysis<br />

possible?<br />

Reanalysed<br />

results<br />

yes/no/unclear<br />

For ITS<br />

Generic inverse variance method<br />

Page/para/fig<br />

Comparison<br />

Outcome<br />

Subgroup<br />

Length of<br />

timepoints<br />

measured<br />

Snapshot or<br />

interval<br />

measured<br />

No.<br />

participants<br />

measured<br />

No. missing<br />

participants<br />

and reasons<br />

No. of<br />

timepoints<br />

measured<br />

Pre-intervention<br />

Post-intervention<br />

Last updated: 24 November 2011 - 40 -


Mean value<br />

(with variance<br />

measure)<br />

Difference in<br />

means (post –<br />

pre)<br />

Percent<br />

relative<br />

change<br />

Result<br />

reported by<br />

authors (with<br />

variance<br />

measure)<br />

Reanalysis<br />

required?<br />

(specify)<br />

Reanalysis<br />

possible?<br />

Individual time<br />

point results<br />

Read from<br />

figure?<br />

Reanalysed<br />

results<br />

yes/no/unclear<br />

yes/no<br />

Change in level SE Change in slope SE<br />

Last updated: 24 November 2011 - 41 -


Other relevant in<strong>for</strong>mation<br />

Were outcomes relating to harms/unintended<br />

effects of the intervention described? Include any<br />

data <strong>for</strong> these in the outcomes tables above<br />

Potential <strong>for</strong> author conflict ie. evidence that<br />

author or data collectors would benefit if results<br />

favoured the intervention under study or the<br />

control<br />

Key conclusions of the study authors<br />

Could the inclusion of this study potentially bias<br />

the generalisability of the review? Equity pointer:<br />

Remember to consider whether disadvantaged<br />

populations may have been excluded from the<br />

study.<br />

Is there potential <strong>for</strong> differences in relative effects<br />

between advantaged and disadvantaged<br />

populations? (e.g. are children from lower income<br />

families less likely to wear bicycle helmets)<br />

Are interventions likely to be aimed at the<br />

disadvantaged? (e.g. school meals aimed at poor<br />

children).<br />

Issues affecting directness<br />

(Note any aspects of population, intervention, etc.<br />

that affect this study’s direct applicability to the<br />

review question)<br />

References to other relevant studies<br />

Additional notes by review authors<br />

Correspondence required <strong>for</strong> further study<br />

in<strong>for</strong>mation (from whom, what and when)<br />

Last updated: 24 November 2011 - 42 -


Risk of bias assessment<br />

Please refer to Chapter 8 - Table 8.5.c: Criteria <strong>for</strong> judging risk of bias in the ‘Risk of bias’<br />

assessment tool and to the <strong>Cochrane</strong> EPOC Group’s guidance <strong>for</strong> assessing Risk of bias <strong>for</strong> studies<br />

with a separate control group (RCTs, CCTs, CBAs) and Risk of bias <strong>for</strong> interrupted time series<br />

studies (Appendix 3) <strong>for</strong> additional guidance <strong>for</strong> scoring Yes/No/Unclear. Note that the table<br />

below includes items from both EPOC tools. The ITS tool has been incorporated into the bottom<br />

of the table and all items <strong>for</strong> ITS studies are denoted by ITS preceding the risk of bias question.<br />

Domain<br />

Was the allocation<br />

sequence<br />

adequately<br />

generated?<br />

Review<br />

authors’<br />

judgement*<br />

Yes / No /<br />

Unclear<br />

Description<br />

Describe the method used to generate the allocation sequence in<br />

sufficient detail to allow an assessment of whether it should<br />

produce comparable groups.<br />

Page/<br />

Para/<br />

Figure #<br />

Was allocation<br />

adequately<br />

concealed?<br />

Yes / No /<br />

Unclear<br />

Describe the method used to conceal the allocation sequence in<br />

sufficient detail to determine whether intervention allocations<br />

could have been <strong>for</strong>eseen in advance of, or during, enrolment.<br />

Were baseline<br />

outcome<br />

measurements<br />

similar?<br />

Yes/No/Uncl<br />

ear<br />

Note whether baseline outcome measurements were reported and<br />

whether there were any important differences between groups. If<br />

there were important differences between groups, note whether<br />

appropriate adjusted analysis was per<strong>for</strong>med to account <strong>for</strong> this.<br />

Were baseline<br />

characteristics<br />

similar?<br />

Yes/No/Uncl<br />

ear<br />

Note whether baseline characteristics were reported and whether<br />

there were any important differences between groups.<br />

Were incomplete<br />

outcome data<br />

adequately<br />

addressed?<br />

Assessments should<br />

be made <strong>for</strong> each<br />

main outcome (or<br />

class of outcomes).<br />

Yes / No /<br />

Unclear<br />

Describe the completeness of outcome data <strong>for</strong> each main<br />

outcome, including attrition and exclusions from the analysis. State<br />

whether attrition and exclusions were reported, the numbers in<br />

each intervention group (compared with total randomized<br />

participants), reasons <strong>for</strong> attrition/exclusions where reported, and<br />

any re-inclusions in analyses per<strong>for</strong>med by the review authors.<br />

Was knowledge of<br />

the allocated<br />

intervention<br />

adequately<br />

prevented during<br />

the study?<br />

Yes / No /<br />

Unclear<br />

Describe all measures used, if any, to blind study participants and<br />

personnel from knowledge of which intervention a participant<br />

received. Provide any in<strong>for</strong>mation relating to whether the intended<br />

blinding was effective, or whether blinding was appropriate.<br />

Participants – yes, no, unclear [record supporting statement<br />

from study].<br />

Separate<br />

assessments should<br />

be made <strong>for</strong><br />

relevant groups of<br />

Investigators – yes, no, unclear [record supporting statement<br />

from study].<br />

Outcomes assessors – yes, no, unclear [record supporting<br />

Last updated: 24 November 2011 - 43 -


people involved in<br />

the study i.e<br />

participants,<br />

outcome assessors,<br />

investigators, data<br />

assessors etc<br />

statement from study].<br />

Data assessors – yes, no, unclear [record supporting statement from<br />

study].<br />

Was the study<br />

adequately<br />

protected against<br />

contamination?<br />

Yes/No/Uncl<br />

ear<br />

State whether and how the possibility of contamination was<br />

minimised by the study design/implementation.<br />

Are reports of the<br />

study free of<br />

suggestion of<br />

selective outcome<br />

reporting?<br />

Assessments should<br />

be made <strong>for</strong> each<br />

main outcome (or<br />

class of outcomes).<br />

Yes / No /<br />

Unclear<br />

Yes / No /<br />

Unclear<br />

State how the possibility of selective outcome reporting was<br />

examined by the review authors, and what was found.<br />

State any important concerns about bias not addressed in the<br />

other domains in the tool.<br />

Other sources of<br />

bias<br />

ITS: Was the<br />

intervention<br />

independent of<br />

other changes?<br />

Yes/No/Uncl<br />

ear<br />

Describe whether or not the intervention occurred independently<br />

of other changes over time and whether or not the outcomes may<br />

have been influenced by other confounding variables/historic<br />

events during the study period.<br />

Last updated: 24 November 2011 - 44 -


ITS: Was the shape<br />

of the intervention<br />

effect pre-specified?<br />

Yes/No/Uncl<br />

ear<br />

State whether or not the point of analysis was the point of<br />

intervention. If not, describe whether a rationale <strong>for</strong> the shape of<br />

the intervention effect was given by the study authors.<br />

ITS: Was the<br />

intervention<br />

unlikely to affect<br />

data collection?<br />

Yes/No/Uncl<br />

ear<br />

Describe whether or not the intervention was likely to affect data<br />

collection and what the potential impact might have been.<br />

ITS: Was knowledge<br />

of the allocated<br />

interventions<br />

adequately<br />

prevented during<br />

the study?<br />

Separate<br />

assessments should<br />

be made <strong>for</strong><br />

relevant groups of<br />

people involved in<br />

the study i.e<br />

participants,<br />

outcome assessors,<br />

investigators, data<br />

assessors etc<br />

ITS: Was incomplete<br />

outcome data<br />

adequately<br />

addressed?<br />

Assessments should<br />

be made <strong>for</strong> each<br />

main outcome (or<br />

class of outcomes).<br />

ITS: Was the study<br />

free from selective<br />

reporting?<br />

Yes/No/Uncl<br />

ear<br />

Yes/No/Uncl<br />

ear<br />

Yes/No/Uncl<br />

ear<br />

Describe all measures used, if any, to blind study participants and<br />

personnel from knowledge of which intervention a participant<br />

received. Provide any in<strong>for</strong>mation relating to whether the intended<br />

blinding was effective, or whether blinding was appropriate.<br />

Participants – yes, no, unclear [record supporting statement<br />

from study].<br />

Investigators – yes, no, unclear [record supporting statement<br />

from study].<br />

Outcomes assessors – yes, no, unclear [record supporting<br />

statement from study].<br />

Data assessors – yes, no, unclear [record supporting statement from<br />

study].<br />

Describe the completeness of outcome data <strong>for</strong> each main<br />

outcome, including attrition and exclusions from the analysis. State<br />

whether attrition and exclusions were reported, the numbers in<br />

each intervention group (compared with total randomized<br />

participants), reasons <strong>for</strong> attrition/exclusions where reported, and<br />

any re-inclusions in analyses per<strong>for</strong>med by the review authors.<br />

State how the possibility of selective outcome reporting was<br />

examined by the review authors, and what was found.<br />

Last updated: 24 November 2011 - 45 -


ITS: Was the study<br />

free from other<br />

risks of bias?<br />

Yes/No/Uncl<br />

ear<br />

State any important concerns about bias not addressed in the<br />

other domains in the tool.<br />

* Note: For each section above ‘Yes’ indicates a ‘low risk of bias’; ‘No’ indicates a ‘high risk of bias’; ‘Unclear’<br />

indicates an ‘uncertain risk of bias’. When entering the data into RevMan, the options to choose from will be ‘Low’,<br />

‘High’ and ‘Unclear’<br />

Last updated: 24 November 2011 - 46 -


Results<br />

Comparison:<br />

Outcome:<br />

Subcategory:<br />

Treatment group:<br />

Control group:<br />

Observed (n) total (N) observed (n) total (N)<br />

Total randomised<br />

excluded*<br />

Observed<br />

lost to follow up*<br />

Treatment group:<br />

Control group:<br />

*Reasons <strong>for</strong> loss/exclusion:<br />

Subcategory:<br />

Treatment group:<br />

Control group:<br />

Observed (n) total (N) observed (n) total (N)<br />

Total randomised<br />

excluded*<br />

Observed<br />

lost to follow up*<br />

Treatment group:<br />

Control group:<br />

*Reasons <strong>for</strong> loss/exclusion<br />

Last updated: 24 November 2011 - 47 -


Appendix 5 – Checklist <strong>for</strong> submission<br />

This checklist should be cut and pasted, completed and sent with your protocol to the referees. Please ensure all<br />

sections have been addressed by your protocol. This will speed up the process and ensure your protocol is quickly<br />

included on the <strong>Cochrane</strong> Library. Please remove this section and use to check your protocol be<strong>for</strong>e submitting to<br />

the Coordinator.<br />

Title<br />

Is the title consistent with the one originally approved by the CPHG?<br />

Background<br />

Does the background support the need <strong>for</strong> a systematic review by providing sufficient<br />

in<strong>for</strong>mation on the frequency and severity of the problem/public health issue and the<br />

uncertainties in its management?<br />

Objective/s<br />

Is the main objective of the review specified in terms of intervention(s), issue being addressed,<br />

population and outcomes (both beneficial and harmful)?<br />

To evaluate the benefits and harms of various initiatives that aim to ensure adequate access <strong>for</strong> all to food in<br />

communities within developed countries.<br />

Selection criteria<br />

Types of studies<br />

Have you adequately identified which study designs will be included?<br />

Is there a rationale provided <strong>for</strong> why the study designs have been included/excluded?<br />

Types of participants<br />

Are the characteristics of the issue being addressed and the population with whom the<br />

intervention is targeted described adequately?<br />

Have the population groups to be excluded been specified?<br />

Have the appropriate population groups been excluded?<br />

Types of interventions<br />

Have the study interventions been described?<br />

Have the control interventions been described?<br />

Have all relevant interventions <strong>for</strong> the issue being addressed and question asked been<br />

identified?<br />

Have the interventions to be excluded been described?<br />

Last updated: 24 November 2011 - 48 -


Are the interventions to be excluded appropriate?<br />

Types of outcome measures<br />

Are the outcome measures <strong>for</strong> benefits and harms of the intervention(s) clearly defined in<br />

nature and in timing?<br />

Are the outcome measures used important to the population with whom the intervention is<br />

targeted?<br />

Have all relevant outcomes (both beneficial and harmful) been included?<br />

If specific outcomes have not been included, does this con<strong>for</strong>m to the question asked?<br />

Search methods <strong>for</strong> identification of studies<br />

Has the search strategy been included and are the search terms appropriate?<br />

Are the dates that each source will be searched indicated?<br />

Does the search strategy include contacting experts in the field?<br />

Have the appropriate subject headings, key words and text words <strong>for</strong> the clinical problem and<br />

population been used?<br />

Has the <strong>Cochrane</strong> Collaboration search strategy to identify RCTs been used?<br />

Has the Trials Search Coordinator been contacted?<br />

Are studies in languages other than English to be included?<br />

Has the team considered how duplicate publications of the same study will be identified and<br />

dealt with?<br />

Will the following data sources be searched?<br />

The <strong>Cochrane</strong> <strong>Public</strong> <strong>Health</strong> Group specialised register<br />

<strong>Cochrane</strong> Central Register of Controlled Trials (CENTRAL) (most recent)<br />

MEDLINE (from 1950 - )<br />

EMBASE (from 1980 - )<br />

Other databases relevant to the review topic<br />

Reference lists of textbooks, reviews (including previous systematic reviews), and previous<br />

trials<br />

Conference proceedings<br />

Assessment of risk of bias<br />

Have the criteria to be used to assess the individual studies risk of bias been reported?<br />

Does the criteria to be used to assess study bias include:-<br />

Sequence generation<br />

Last updated: 24 November 2011 - 49 -


Allocation concealment<br />

Blinding<br />

o Participants<br />

o Investigators<br />

o Outcome assessment<br />

o Data assessors<br />

Incomplete outcome data<br />

Selective outcome reporting<br />

Other potential biases<br />

Methods of the Review<br />

Will at least two authors of the review:-<br />

Per<strong>for</strong>m the literature search?<br />

Determine study eligibility?<br />

Assess study quality?<br />

Extract data?<br />

Enter data in RevMan?<br />

Will authors work independently?<br />

Will consensus and/or liaison with a third author be used to resolve disagreement between<br />

the primary authors?<br />

Will authors of primary studies be contacted <strong>for</strong> clarification of unclear data or to obtain<br />

missing in<strong>for</strong>mation?<br />

Will you attempt to analyse <strong>for</strong> possible publication bias using funnel plots or other methods?<br />

Will plausible explanations <strong>for</strong> variations in treatment effect be explored using subgroup<br />

analysis based on study quality, population and interventions?<br />

Statistical analysis<br />

Will the results of primary studies be reported with 95% confidence intervals using relative risk<br />

(RR) <strong>for</strong> dichotomous outcomes and mean difference (MD) <strong>for</strong> continuous outcomes?<br />

Have the methods used to pool the results of the primary studies been reported?<br />

Are these methods relevant?<br />

Will RR and MD summary statistics be calculated using a random effects model?<br />

Example of text: Statistical analysis will be per<strong>for</strong>med using RevMan. For dichotomous outcomes (relapse or no<br />

relapse) results will be expressed as relative risks with 95% confidence intervals. Data will be pooled using the<br />

random effects model. Where continuous scales of measurement are used to assess the effects of treatment (e.g.<br />

time to relapse), the weighted mean difference will be used, or the standardised mean difference if different scales<br />

have been used<br />

Have you stated how you will test <strong>for</strong> heterogeneity?<br />

Example of text: Heterogeneity will be analysed using the Cochran Q test on N-1 degrees of freedom, with an α of<br />

0.1 used <strong>for</strong> statistical significance.<br />

Last updated: 24 November 2011 - 50 -


Have you specified how you will determine the applicability of the results to individuals?<br />

Example of text: Calculation of absolute risk reductions with intervention in relation to different baseline risk of<br />

the event with no intervention or a different intervention.<br />

Acknowledgements<br />

Have you acknowledged all the relevant people and/or organizations?<br />

Declarations of interest<br />

Have you and your coauthors declared any potential conflicts of interest?<br />

References<br />

Have you checked your references?<br />

Sources of support<br />

Have you listed your internal sources of support (e.g. hospital, university)?<br />

Have you listed your external sources of support (e.g. scholarship, bursaries)?<br />

OTHER<br />

Have you completed and are including with your protocol submission, the <strong>Health</strong> Equity<br />

Checklist?<br />

Last updated: 24 November 2011 - 51 -

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