Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.

App Store French Google Play MARS Mobile App Rating Scale adherence app applications apps behavioral therapy mHealth medication medication adherence medications mobile apps mobile health mobile phone quality reminder reminder system reminders search searches searching smartphone apps systematic telemedicine

Journal

JMIR mHealth and uHealth
ISSN: 2291-5222
Titre abrégé: JMIR Mhealth Uhealth
Pays: Canada
ID NLM: 101624439

Informations de publication

Date de publication:
18 Mar 2024
Historique:
received: 09 12 2023
accepted: 06 02 2024
revised: 28 01 2024
medline: 18 3 2024
pubmed: 18 3 2024
entrez: 18 3 2024
Statut: epublish

Résumé

Adherence to medication is estimated to be around 50% for chronically ill patients in high-income countries. Improving the effectiveness of adherence interventions could have a far greater impact on population health than any improvement in specific medical treatments. Mobile health (mHealth) is one of the most effective solutions for helping patients improve their medication intake, notably through the use of mobile apps with reminder systems. With more than 327,000 apps available in the mHealth field, it is difficult for health care professionals and patients alike to choose which apps to recommend and use. We aim to carry out a systematic search of medication management smartphone apps available in France that send reminders to patients and assess their quality using a validated scale. Mobile apps were identified in October and November 2022 after a systematic keyword search on the 2 main app download platforms: App Store (Apple Inc) and Google Play Store. Inclusion criteria were free availability, date of last update, and availability in French. Next, 2 health care professionals independently evaluated the included apps using the French version of the Mobile App Rating Scale (MARS-F), an objective scoring system validated for assessing the overall quality of apps in the mHealth field. An intraclass correlation coefficient was calculated to determine interrater reliability. In total, 960 apps were identified and 49 were selected (25 from the App Store and 24 from the Google Play Store). Interrater reliability was excellent (intraclass correlation coefficient 0.92; 95% CI 0.87-0.95; P<.001). The average MARS-F score was 3.56 (SD 0.49) for apps on the App Store and 3.51 (SD 0.46) for those on the Google Play Store, with 10 apps scoring above 4 out of 5. Further, 2 apps were tested in at least one randomized controlled trial and showed positive results. The 2 apps with the highest ratings were Mediteo rappel de médicaments (Mediteo GmbH) and TOM rappel medicaments, pilule (Innovation6 GmbH), available on both platforms. Each app's MARS-F score was weakly correlated with user ratings on the App Store and moderately correlated on the Google Play Store. To our knowledge, this is the first study that used a validated scoring system to evaluate medication management apps that send medication reminders. The quality of the apps was heterogeneous, with only 2 having been studied in a randomized controlled trial with positive results. The evaluation of apps in real-life conditions by patients is necessary to determine their acceptability and effectiveness. Certification of apps is also essential to help health care professionals and patients identify validated apps.

Sections du résumé

BACKGROUND BACKGROUND
Adherence to medication is estimated to be around 50% for chronically ill patients in high-income countries. Improving the effectiveness of adherence interventions could have a far greater impact on population health than any improvement in specific medical treatments. Mobile health (mHealth) is one of the most effective solutions for helping patients improve their medication intake, notably through the use of mobile apps with reminder systems. With more than 327,000 apps available in the mHealth field, it is difficult for health care professionals and patients alike to choose which apps to recommend and use.
OBJECTIVE OBJECTIVE
We aim to carry out a systematic search of medication management smartphone apps available in France that send reminders to patients and assess their quality using a validated scale.
METHODS METHODS
Mobile apps were identified in October and November 2022 after a systematic keyword search on the 2 main app download platforms: App Store (Apple Inc) and Google Play Store. Inclusion criteria were free availability, date of last update, and availability in French. Next, 2 health care professionals independently evaluated the included apps using the French version of the Mobile App Rating Scale (MARS-F), an objective scoring system validated for assessing the overall quality of apps in the mHealth field. An intraclass correlation coefficient was calculated to determine interrater reliability.
RESULTS RESULTS
In total, 960 apps were identified and 49 were selected (25 from the App Store and 24 from the Google Play Store). Interrater reliability was excellent (intraclass correlation coefficient 0.92; 95% CI 0.87-0.95; P<.001). The average MARS-F score was 3.56 (SD 0.49) for apps on the App Store and 3.51 (SD 0.46) for those on the Google Play Store, with 10 apps scoring above 4 out of 5. Further, 2 apps were tested in at least one randomized controlled trial and showed positive results. The 2 apps with the highest ratings were Mediteo rappel de médicaments (Mediteo GmbH) and TOM rappel medicaments, pilule (Innovation6 GmbH), available on both platforms. Each app's MARS-F score was weakly correlated with user ratings on the App Store and moderately correlated on the Google Play Store.
CONCLUSIONS CONCLUSIONS
To our knowledge, this is the first study that used a validated scoring system to evaluate medication management apps that send medication reminders. The quality of the apps was heterogeneous, with only 2 having been studied in a randomized controlled trial with positive results. The evaluation of apps in real-life conditions by patients is necessary to determine their acceptability and effectiveness. Certification of apps is also essential to help health care professionals and patients identify validated apps.

Identifiants

pubmed: 38498042
pii: v12i1e54866
doi: 10.2196/54866
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e54866

Informations de copyright

©Mickael Toïgo, Julie Marc, Maurice Hayot, Lionel Moulis, Francois Carbonnel. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 18.03.2024.

Auteurs

Mickael Toïgo (M)

Department of General Practice, Univ Montpellier, Montpellier, France.

Julie Marc (J)

Department of General Practice, Univ Montpellier, Montpellier, France.

Maurice Hayot (M)

PhyMedExp, Univ Montpellier, CNRS, INSERM, CHU Montpellier, Montpellier, France.

Lionel Moulis (L)

Clinical Research and Epidemiology Unit, Department of Public Health, Univ Montpellier, CHU Montpellier, Montpellier, France.
Pathogenesis and Control of Chronic and Emerging Infections, Univ Montpellier, INSERM, EFS, University of Antilles, Montpellier, France.

Francois Carbonnel (F)

Department of General Practice, Univ Montpellier, Montpellier, France.
Desbrest Institute of Epidemiology and Public Health, Univ Montpellier, INSERM, Montpellier, France.

Classifications MeSH