Cited by 523Qualitative Research Methods and ApplicationsQualitative Research Methods and EthicsMeta-analysis and systematic reviews

Appraising the quality of qualitative research

Walsh, Denis, Downe, Soo·2006·Midwifery

Abstract

In the process of undertaking a meta-synthesis of qualitative studies of free-standing midwife-led units, the authors of this paper encountered a number of methodologically and epistemologically unresolved issues. One of these related to the assessment of the quality of qualitative research. In an iterative approach to scoping this issue, we identified eight existing checklists and summary frameworks. Some of these publications were opinion based, and some involved a synthesis of pre-existing frameworks. None of them provide a clear map of the criteria used in all their reviewed papers, and of the commonalities and differences between them. We critically review these frameworks and conclude that, although they are epistemologically and theoretically dense, they are excessively detailed for most uses. In order to reach a workable solution to the problem of the quality assessment of qualitative research, the findings from these frameworks and checklists were mapped together. Using a technique we have termed a 'redundancy approach' to eliminate non-essential criteria, we developed our own summary framework. The final synthesis was achieved through reflexive debate and discussion. Aspects of this discussion are detailed here. The synthesis is clearly rooted in a subjectivist epistemology, which views knowledge as constructed and hermeneutic in intent, encompassing individual, cultural and structural representations of reality.

Integrity signals

Registry

Crossref · 10.1016/j.midw.2005.05.004

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many existing tools do not capture the multiple meanings of "good quality" and "rightness".

    “Their use to determine the inclusion of qualitative studies is often not recommended as many existing tools do not capture the multiple meanings of “good quality” and “rightness”; therefore, studies should often not be excluded based on this quality assessment [22, 24].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Walsh, D., & Downe, S.
Affiliations
University of Lancashire (GB)
Corresponding author
Walsh, Denis
Venue
Midwifery
Publisher
Elsevier BV
Published
2006-06
Volume
22
Issue
2
Pages
108-119
ISSN
0266-6138 (ISSN-L)
OpenAlex
W1982334104
Cited by
523
References
9
Citations by year
2026: 18 · 2025: 23 · 2024: 24 · 2023: 38 · 2022: 31 · 2021: 49 · 2020: 30 · 2019: 51 · 2018: 36 · 2017: 40 · 2016: 33 · 2015: 34 · 2014: 23 · 2013: 28 · 2012: 14
FWCI
20.56
Type
journal article
Language
en
Open access
closed
Locations
  • Midwifery (publishedVersion)
  • PubMed (publishedVersion)
  • CLOK (University of Central Lancashire) (acceptedVersion)
Topics
  • Social Sciences › Education › Qualitative Research Methods and Applications
  • Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
hermeneutics, midwife-led units, meta-synthesis, reflexivity
MeSH terms
Humans, Nursing Theory, Research Design, Review Literature as Topic, Meta-Analysis as Topic, Nursing Research, Nursing Methodology Research, Quality Indicators, Health Care, Qualitative Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review