Evidence map›Paper›PMID 42138824›Full record

ArticleInternational journal of qualitative studies on health and well-being2026

How to co-create context-sensitive analyses of health service experiences: proposed guidelines for contextualist collaborative thematic analyses with co-researchers.

Nina K H Bahl, Morten Brodahl, Hilde E Nafstad, Rolv M Blakar

Abstract read
In one paragraph

Article in International journal of qualitative studies on health and well-being, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nina K H BahlDepartment of Research and Development, Clinic of Substance Use and Addiction Medicine, St. Olavs University Hospital, Trondheim, Norway.ORCID 0000-0001-6629-1160
Morten BrodahlResearch Centre for Substance Use Disorders and Mental Illness, Innlandet Hospital Trust, Divisjon Psykisk Helsevern, Brumunddal, Norway.
Hilde E NafstadDepartment of Psychology, University of Oslo, Oslo, Norway.
Rolv M BlakarDepartment of Psychology, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUser involvement is a prominent requirement in health services research across international health service contexts. However, current limitations with user-involved analytical approaches restrict researchers' sensitization to service users' contexts in analysis, with detrimental consequences for rigor and validity. In this methods article, we propose a novel analytical approach for how to conduct contextualist collaborative thematic analyses with co-researchers, developed through processes of previous cultural-ideological and collaborative thematic analyses.

methodThis method's article introduces a cultural-ideological framework, as well as analytical and epistemological positioning for a four-stage procedure for conducting cultural-ideological and collaborative thematic analysis with co-researchers: 1) Coding and development of initial themes, 2) Collaborative reviewing and contextual interpretation of themes, 3) Collaborative synthesis of themes, and 4) Final adjustment of themes and dissemination of findings.

resultsWe demonstrate how the proposed approach adds experiential and contextual depth and breadth in analyses and aligns with established validity dimensions.

conclusionsThis article contributes to the scholarship on qualitative user-involved approaches by adding a context-sensitive approach aligned with evolving values and epistemology in health services research. While the approach presents several challenges, it offers valuable implications for rigorous and valid understandings of health service experiences across cultures.

Indexed as

Cooperative BehaviorHealth ServicesHealth Services ResearchResearch DesignResearch PersonnelGuidelines as TopicHumansQualitative Researchcollaborative analysiscontext-sensitiveco-researchercultural-ideologicalhealth services researchUser-involvement

Identifiers

PMID42138824
PMCPMC13182175

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.