Guide for Developing a Cochrane Protocol - Cochrane Public Health ...
Guide for Developing a Cochrane Protocol - Cochrane Public Health ...
Guide for Developing a Cochrane Protocol - Cochrane Public Health ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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 />
Last updated: 24 November 2011 - 12 -
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 />
Last updated: 24 November 2011 - 14 -
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 />
Last updated: 24 November 2011 - 22 -
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 />
Last updated: 24 November 2011 - 23 -
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 />
Last updated: 24 November 2011 - 24 -
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 />
Last updated: 24 November 2011 - 26 -
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 />
Last updated: 24 November 2011 - 30 -
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 />
Last updated: 24 November 2011 - 32 -
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 />
Last updated: 24 November 2011 - 33 -
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 -