3. Data extraction, assessment and synthesis_2014

3. Data extraction, assessment and synthesis_2014 - How to...

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1 1 Data Extraction, Quality Assessment and Narrative Synthesis Dominika Dykiert How to do a systematic review? 1. Define a question 2. Search the literature: Sheila 3. Extract the data 4. Assess study quality 5. Combine the results a) Narrative synthesis b) Meta-analysis: Geoff 6. Present the results (writing up) It is common to start with thousands of “hits” Most papers excluded after scanning titles/abstracts Usually, a small proportion retained for the review/meta- analysis “Hits” ( titles/abstracts read) Potentially relevant (Full texts evaluated) Included in review Included in meta-analysis 3 207 91 6 Shenkin et al (2004) 13 961 1 126 33 29 Dykiert et al (2012) 19 236 90 27 16 Calvin et al (2011) So you’ve done your search… 1 544 232 208 Cox et al (2014) Data Extraction Selecting and recording relevant data from the studies to be reviewed • Prone to error, so… Use a data extraction form – Record data exactly as reported (e.g. “58% female” rather than calculating the actual number of females in the sample) Have more than one person extract the data and check for mis-matches Data Extraction Form Design according to the needs of your research Pilot and refine (possibly more than once) Extracting too much = waste of effort and time Extracting too little = waste of effort and time (if you need to revisit papers for more data) Data Extraction Form: Content 1. General information Authors, title, source and year of publication Publication type (e.g. journal article/book chapter) Reviewer ID (if more than one) Pearson et al(2009) Evidence-Based Clinical Practice in Nursing and Health Care: Assimilating research, experience and expertise
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2 2. Study characteristics Study design
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