Evidence map›Paper›PMID 36735323›Full record

ArticleJMIR human factors2023

Evaluating Clinician Expectations of mHealth Solutions to Increase Rapid-Screening for HIV and Hepatitis in Migrant Populations in France: Qualitative Study.

Carter Brown, Guillaume Roucoux, Svetlane Dimi, Saleh Fahmi, Raj-Banou Jeevan, Olivier Chassany, John Chaplin, Martin Duracinsky

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Carter BrownPatient-Reported Outcomes Unit, UMR 1123, Inserm, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0002-1362-6497
Guillaume RoucouxPatient-Reported Outcomes Unit, UMR 1123, Inserm, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0001-7181-9898
Svetlane DimiInternational Vaccination and Travel Medicine Center, Centre de Santé Familia Sol, Creil, France.ORCID https://orcid.org/0000-0002-1380-6324
Saleh FahmiPatient-Reported Outcomes Unit, UMR 1123, Inserm, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0002-8199-8612
Raj-Banou JeevanPatient-Reported Outcomes Unit, UMR 1123, Inserm, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0003-4631-2213
Olivier ChassanyPatient-Reported Outcomes Unit, UMR 1123, Inserm, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0001-8361-5809
John ChaplinInstitute of Health and Care Sciences, Sahlgrenska Academy at Gothenburg University, The University of Gothenburg Centre for Person-Centred Care, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-8128-4225
Martin DuracinskyPatient-Reported Outcomes Unit, UMR 1123, Inserm, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0003-3901-2255
Inserm · FRUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigrants underuse screening opportunities for HIV, hepatitis B, and hepatitis C despite elevated risk factors for contracting these infections. Language barriers are an often given as reasons for limiting access to services. Translation and communication apps increase communication and overall patient satisfaction in the patient-provider relationship. In the development and adoption of new technology, expectations play an important role.

objectiveThis study aimed to explore health care professionals' opinions and attitudes regarding their screening practices with migrants and their expectations for a new communication tool that could improve migrants' screening use.

methodsIn this qualitative study, a purposive (diverse) sampling method was used to invite doctors and nurses who conduct rapid screening tests with migrants from 4 centers of the French Office of Immigration and Integration in 3 geographic regions of France. Semistructured interviews were conducted to survey their opinions on the rapid testing of migrants, the use of telephone interpreters, the concept of health literacy, and their expectations of a new communication tool that could overcome language barriers and promote rapid screening in the new migrant population.

resultsIn all, 20 interviews were conducted with 11 doctors and 9 nurses with a median age of 58 (range 25-67) years. Participants favored the integration of an innovative communication tool in the context of rapid screening of migrants. However, there were concerns related to the implementation and added value of the tool while migrants were already reluctant to be screened. Expectations were for a tool that would present information in simplified French or a chosen language but also supports a positive attitude toward screening. Health professionals also expressed the wish that the technology could help with the collection of health data.

conclusionsFeedback from health professionals provides a better understanding of potential formats, characteristics, functions, content, and use of an innovative, digital method to communicate with migrants with limited French proficiency. Findings contribute to the conceptual development of an electronic app and its implementation within the ApiDé study, which aims to validate a digital app to address language barriers to increase the use of screening among migrants with limited French proficiency in France.

Indexed as

acceptabilityAIDSapp developmentcommunication barrierscommunication toolhepatitisHIVlanguage barriermHealthmigrantsmobile healthpublic healthrapid diagnostic testingscreeninguser-centered design

Identifiers

PMID36735323
PMCPMC9938434
OpenAlexW4312261726

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.