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Record W4210454701 · doi:10.1136/bmjopen-2021-057095

Development and use of research vignettes to collect qualitative data from healthcare professionals: a scoping review

2022· review· en· W4210454701 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ Open · 2022
Typereview
Languageen
FieldSocial Sciences
TopicSocial Power and Status Dynamics
Canadian institutionsUniversité de MontréalInstitut Universitaire en Santé Mentale de QuébecCentre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-MontréalÉcole Nationale d'Administration PubliqueMcGill UniversityHôpital Charles-Le MoyneCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Sherbrooke
FundersRéseau de recherche portant sur les interventions en sciences infirmières du QuébecUniversité de Sherbrooke
KeywordsVignetteQualitative researchRigourCINAHLMedicinePsycINFOCritical appraisalSystematic reviewThematic analysisHealth services researchHealth careMEDLINEData extractionResearch designQualitative propertyMedical educationApplied psychologyNursingPsychologyPublic healthAlternative medicinePsychological interventionSocial psychologyComputer science

Abstract

fetched live from OpenAlex

OBJECTIVES: To clarify the definition of vignette-based methodology in qualitative research and to identify key elements underpinning its development and utilisation in qualitative empirical studies involving healthcare professionals. DESIGN: Scoping review according to the Joanna Briggs Institute framework and Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. DATA SOURCES: Electronic databases: Academic Search Complete, CINAHL Plus, MEDLINE, PsycINFO and SocINDEX (January 2000-December 2020). ELIGIBILITY CRITERIA: Empirical studies in English or French with a qualitative design including an explicit methodological description of the development and/or use of vignettes to collect qualitative data from healthcare professionals. Titles and abstracts were screened, and full text was reviewed by pairs of researchers according to inclusion/exclusion criteria. DATA EXTRACTION AND SYNTHESIS: Data extraction included study characteristics, definition, development and utilisation of a vignette, as well as strengths, limitations and recommendations from authors of the included articles. Systematic qualitative thematic analysis was performed, followed by data matrices to display the findings according to the scoping review questions. RESULTS: Ten articles were included. An explicit definition of vignettes was provided in only half the studies. Variations of the development process (steps, expert consultation and pretesting), data collection and analysis demonstrate opportunities for improvement in rigour and transparency of the whole research process. Most studies failed to address quality criteria of the wider qualitative design and to discuss study limitations. CONCLUSIONS: Vignette-based studies in qualitative research appear promising to deepen our understanding of sensitive and challenging situations lived by healthcare professionals. However, vignettes require conceptual clarification and robust methodological guidance so that researchers can systematically plan their study. Focusing on quality criteria of qualitative design can produce stronger evidence around measures that may help healthcare professionals reflect on and learn to cope with adversity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.865
GPT teacher head0.740
Teacher spread0.125 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it