Lucas, Patricia J.; Baird, Janis; Arai, Lisa; Law, Catherine and Roberts, Helen M.
PDF (Not Set)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1186/1471-2288-7-4|
|Google Scholar:||Look up in Google Scholar|
The inclusion of qualitative studies in systematic reviews poses methodological challenges. This paper presents worked examples of two methods of data synthesis (textual narrative and thematic), used in relation to one review, with the aim of enabling researchers to consider the strength of different approaches.
A systematic review of lay perspectives of infant size and growth was conducted, locating 19 studies (including both qualitative and quantitative). The data extracted from these were synthesised using both a textual narrative and a thematic synthesis.
The processes of both methods are presented, showing a stepwise progression to the final synthesis. Both methods led us to similar conclusions about lay views toward infant size and growth. Differences between methods lie in the way they dealt with study quality and heterogeneity.
On the basis of the work reported here, we consider textual narrative and thematic synthesis have strengths and weaknesses in relation to different research questions. Thematic synthesis holds most potential for hypothesis generation, but may obscure heterogeneity and quality appraisal. Textual narrative synthesis is better able to describe the scope of existing research and account for the strength of evidence, but is less good at identifying commonality.
|Item Type:||Journal Article|
|Academic Unit/Department:||Faculty of Wellbeing, Education and Language Studies (WELS) > Health, Wellbeing and Social Care
Faculty of Wellbeing, Education and Language Studies (WELS)
|Depositing User:||Lisa Arai|
|Date Deposited:||02 Sep 2008 05:13|
|Last Modified:||04 Oct 2016 13:40|
|Share this page:|
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.