A systematic review and critical appraisal of qualitative metasynthetic practice in public health to develop a taxonomy of operations of reciprocal translation
Abstract
INTRODUCTION: Reciprocal translation, the understanding of one study's findings in terms of another's, is the foundation of most qualitative metasynthetic methods. In light of the proliferation of metasynthesis methods, the current review sought to create a taxonomy of operations of reciprocal translation using recently published qualitative metasyntheses. METHODS: On 19 August 2013, MEDLINE, Embase and PsycINFO were searched. Included articles were full reports of metasyntheses of qualitative studies published in 2012 in English-language peer-reviewed journals. Two reviewers, working independently, screened records, assessed full texts for inclusion and extracted data on methods from each included metasynthesis. Systematic review methods used were summarised, and metasynthetic methods were inductively analysed to develop the taxonomy. RESULTS: Of 61 included metasyntheses, 21 (34%) reported fully replicable search strategies and 51 (84%) critically appraised included studies. Based on methods in these metasyntheses, we developed a taxonomy of reciprocal translation with four overlapping categories: visual representation; key paper integration; data reduction and thematic extraction; and line-by-line coding. DISCUSSION: This systematic review presents an update on methods and reporting currently used in qualitative metasynthesis. It also goes beyond the proliferation of approaches to offer a parsimonious approach to understanding how reciprocal translations are accomplished across metasynthetis methods.
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The review employed a thematic synthesis approach to describe themes as recurrent units of meaning within and across studies.
“Reflecting the research questions, we employed a thematic synthesis approach [28], or an approach that seeks to describe themes as recurrent ‘units of meaning’ within and across studies, to synthesise insights from individual studies [29, 30].”
From Women’s and girls’ experiences of menstruation in low- and middle-income countries: A systematic review and qualitative metasynthesis (2019) · cites this paper as [30]
Metasynthesis remains an evolving methodology for the review of qualitative literature.
“Metasynthesis remains an evolving methodology for the review of qualitative literature [30, 110–112].”
From Women’s and girls’ experiences of menstruation in low- and middle-income countries: A systematic review and qualitative metasynthesis (2019) · cites this paper as [30]
This work draws on current best practice guidance.
“This work draws on current best practice guidance [26, 27, 29, 30, 112].”
From Women’s and girls’ experiences of menstruation in low- and middle-income countries: A systematic review and qualitative metasynthesis (2019) · cites this paper as [30]
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- Authors
- Melendez‐Torres, G. J., Grant, S., & Bonell, C.
- Affiliations
- Centre for Evidence‐Based Intervention University of Oxford Oxford UK
- RAND Corporation (US)
- University College London (GB)
- Venue
- Research Synthesis Methods
- Publisher
- Wiley
- Published
- 2015-07-28
- Volume
- 6
- Issue
- 4
- Pages
- 357-371
- ISSN
- 1759-2879 (ISSN-L)
- 1759-2887
- OpenAlex
- W1514662432
- Cited by
- 39
- References
- 73
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 3 · 2020: 4 · 2019: 6 · 2018: 4 · 2017: 2 · 2016: 3
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Research Synthesis Methods (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Keywords
- qualitative meta-synthesis, visual representation, public health research
- MeSH terms
- Classification, Humans, Meta-Analysis as Topic, Public Health Practice, Qualitative Research, Translational Research, Biomedical
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 ›
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