'Qualitative' research, systematic reviews, and evidence-informed policy and practice
Year: 2007
Type: dissertation
Abstract: This thesis makes a distinctive contribution to debates about how to include and quality assess `qualitative' research in systematic reviews. It analyses sets of quality criteria, assesses the impact of study quality on findings and compares `quantitative' and `qualitative' perspectives on quality. The research consists of a review of the literature and three new methodological studies. The first study surveyed and evaluated quality assessment tools, the second analysed the development of a new tool, and the third examined the relationship between the quality of `qualitative' research and the findings of systematic reviews. \nA large number of different quality criteria have been proposed for `qualitative' research but assessment tools represent 'good practice' guides rather than aids to distinguish between `good' and `bad' studies. Continuous funding, a policy-focussed context, and a multi-disciplinary team which viewed research questions as drivers for quality assessment were important factors for developing a unique tool which did help to distinguish between studies. There was no straightforward relationship between study quality and the findings of reviews. However, excluding lower quality studies had little impact on review findings. Studies which made the biggest contribution to reviews were those with appropriate methods for the review question and findings displaying conceptual depth. In contrast to procedures for `quantitative' research, engaging with study findings as well as study methods is important for assessing fully the quality of `qualitative' research. \nThis thesis generates important empirical evidence for debates about how to assess the quality of `qualitative' research. It shows how standard quality assessment protocols need to be altered better to fit `qualitative' research, reveals how study quality can impact on review findings and demonstrates some problems with the terms `qualitative' and `quantitative'. Future debate in this area should focus on how to identify reliable answers to questions about intervention process, context and need. \n
Source: IOE EPrints
Author: Angela Harden
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W185596695