Evidence map›Paper›PMID 41426723›Full record

ArticleJournal of public health research2025

Ethnic minority patients' experiences of filling in translated patient-reported outcome measures.

Lise-Merete Alpers, Ingrid Hanssen

Abstract read
In one paragraph

Article in Journal of public health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

2 authors.

Lise-Merete AlpersFaculty of Health Sciences, VID Specialized University, Oslo, Norway.ORCID https://orcid.org/0000-0002-5523-3560
Ingrid HanssenLovisenberg Diaconal University College, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Problems assessing migrant patients' pain may cause inadequate treatment. Standardised patient-reported outcome measures (PROMs) are used as basis for tailoring treatment plans. This study investigates patients' experiences of filling in PROMs translated into their home language. Design and methods: Explorative design with in-depth interviews with 12 patients speaking the target languages Urdu, Somali, Arabic and Polish. The data analysis was inductive, thematic and hermeneutic in character. Results: Many interviewees found concepts used in the PROMs difficult to understand. Several viewed questions about mental health, suicide and sexual activity as taboo. Some of the PROM questions/answer options did not fit their situation and/or experience. Completing six different PROMs was exhausting. Discussion: Idiomatic and dialectic variations as well as diverse cultural backgrounds influence how concepts and questions were understood and made completing the PROMs challenging. Translations, although technically correct, must be understandable in the cultural context in which they are to be used. Some questions/response options do not reflect lived experience, and/or are couched in language reflecting biomedical understanding of illness. Culture, religion, traumatic experiences, migration-induced stress etc. shape individuals' understanding and expression of health problems and symptoms. Secrecy and not sharing information is often an adaptive response to avoid shame. Conclusion: Although the PROMs used were translated by professional translators, cultural, religious and educational backgrounds influence how concepts and questions are comprehended. Questions considered too private/taboo might be ignored. These problems may lead to seriously impaired treatment outcomes.

Indexed as

chronic painculturelanguagemigrantsPROMs

Identifiers

PMID41426723
PMCPMC12715125

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Registered trials

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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.