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Train the Trainer Course book - Cochrane Public Health Group

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FACILITATOR’S GUIDE<br />

Time required:<br />

10 minutes approx (slides only)<br />

Learning topics<br />

- Rationale for well-designed and ambiguous data collection forms<br />

- Types of data to collect<br />

- Grey literature<br />

Summary of activity<br />

Lecture – Powerpoint slides<br />

Description of supporting materials<br />

None<br />

Instructions to facilitator<br />

1. Direct participants to online examples of data abstraction forms. Emphasise that <strong>the</strong> data<br />

abstraction form should be designed to match <strong>the</strong> needs of <strong>the</strong> review – it is difficult to create a<br />

standard data abstraction form that would meet <strong>the</strong> needs of all reviews.<br />

2. The data abstraction form should contain <strong>the</strong> quality criteria for critical appraisal. There is no<br />

point extracting data from a study if it has not met <strong>the</strong> quality criteria/standard determined at <strong>the</strong><br />

beginning of <strong>the</strong> review.<br />

3. In situations where <strong>the</strong>re is more than one reviewer, <strong>the</strong> form should be tested to ensure that <strong>the</strong><br />

form is not interpreted differently by reviewers, i.e. is reliable.<br />

4. Data in primary studies is often not reported in a way that is useful for completing systematic<br />

reviews. Therefore, it is usually necessary to contact <strong>the</strong> authors for <strong>the</strong> data required (eg. means<br />

and SDs).<br />

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