Evidence map›Paper›PMID 35147508›Full record

ArticleJMIR mHealth and uHealth2022

Willingness of French General Practitioners to Prescribe mHealth Apps and Devices: Quantitative Study.

Claire Della Vecchia, Tanguy Leroy, Charlotte Bauquier, Myriam Pannard, Aline Sarradon-Eck, David Darmon, Jean-Charles Dufour, Marie Preau

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 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 3 institutions in 1 country.

Claire Della VecchiaInstitut de Psychologie, Université Lyon 2, Bron, France.ORCID 0000-0003-3122-2223
Tanguy LeroyInstitut de Psychologie, Université Lyon 2, Bron, France.ORCID 0000-0002-9031-5027
Charlotte BauquierInstitut de Psychologie, Université Lyon 2, Bron, France.ORCID 0000-0002-6021-310X
Myriam PannardInstitut de Psychologie, Université Lyon 2, Bron, France.ORCID 0000-0003-4898-1306
Aline Sarradon-EckSciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Institut de Recherche pour le Développement, Aix-Marseille Université, Marseille, France.ORCID 0000-0002-6697-8058
David DarmonSciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Institut de Recherche pour le Développement, Aix-Marseille Université, Marseille, France.ORCID 0000-0002-4425-4163
Jean-Charles DufourSciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Institut de Recherche pour le Développement, Aix-Marseille Université, Marseille, France.ORCID 0000-0003-2392-1817
Marie PreauInstitut de Psychologie, Université Lyon 2, Bron, France.ORCID 0000-0002-6239-1671
Université Claude Bernard Lyon 1 · FRAix-Marseille Université · FRUniversité Pierre Mendès France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe field of mobile health (mHealth) is constantly expanding. Integrating mHealth apps and devices in clinical practice is a major and complex challenge. General practitioners (GPs) are an essential link in a patient's care pathway. As they are patients' preferred health care intermediaries, GPs play an important role in supporting patients' transition to mHealth.

objectiveThis study aims to identify the factors associated with the willingness of French GPs to prescribe mHealth apps and devices to their patients.

methodsThis study was part of the ApiAppS project whose overall objective was to help remove barriers GPs face when prescribing mHealth apps and devices by developing a custom-built platform to aid them. The study included GPs recruited from the general practice department of several medical faculties in France (Lyon, Nice, and Rouen) and mailing lists of academic GPs, health care professional associations, and social and professional networks. Participants were asked to complete a web-based questionnaire that collected data on various sociodemographic variables, indicators of their involvement in continued education programs and the amount of time they dedicated to promoting healthy behaviors during patient consultations, and indicators characterizing their patient population. Data on their perceptions of mHealth apps and devices were also collected. Finally, the questionnaire included items to measure GPs' acceptability of prescribing mHealth apps and devices for several health-related dimensions.

resultsOf the 174 GPs, 129 (74.1%) declared their willingness to prescribe mHealth apps and devices to their patients. In multivariate analysis, involvement in continued education programs (odds ratio [OR] 6.17, 95% CI 1.52-28.72), a better patient base command of the French language (OR 1.45, 95% CI 1.13-1.88), GP-perceived benefits of mHealth apps and devices for both patients and their medical practice and GP-perceived drivers for mHealth apps and device implementation in their medical practice (OR 1.04, 95% CI 1.01-1.07), and validation of mHealth apps and devices through randomized clinical trials (OR 1.02, 95% CI 1.00-1.04) were all associated with GPs' willingness to prescribe mHealth apps and devices. In contrast, older GPs (OR 0.95, 95% CI 0.91-0.98), female GPs (OR 0.26, 95% CI 0.09-0.69), and those who perceived risks for the patient or their medical practice (OR 0.96, 95% CI 0.94-0.99) were less inclined to prescribe mHealth apps and devices.

conclusionsmHealth apps and devices were generally seen by GPs as useful in general medicine and were, for the most part, favorable to prescribing them. Their full integration in general medicine will be conditioned by the need for conclusive certification, transparency (reliable and precise data concerning mHealth app and device methods of construction and clinical validation), software aids to assist GPs prescribe them, and dedicated training programs.

Indexed as

General PractitionersMobile ApplicationsTelemedicineFemaleHumansLanguageSurveys and Questionnairesconnected health and wellness devicesgeneral practitionershealth applicationsmHealthmobile phonepatientsprescriptionquantitative study

Identifiers

PMID35147508
PMCPMC9491832
OpenAlexW3198591007

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.