Measuring the quality of smartphone medication management applications for patients: systematic research and evaluation of the offering in France (Preprint)

Author:

Toïgo MickaelORCID,Marc JulieORCID,Hayot MauriceORCID,Moulis LionelORCID,Carbonnel FrancoisORCID

Abstract

BACKGROUND

Patient adherence is estimated at around 50% for chronically ill patients in developed 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 is one of the most effective solutions for helping patients to improve their medication intake, notably through the use of mobile applications with reminder systems. With over 327,000 apps listed in the mobile health field, it's difficult for healthcare professionals and patients alike to choose which apps to recommend and use.

OBJECTIVE

To carry out a systematic search for medication management smartphone applications available in France that send reminders to patients, and assess their quality using a validated scale

METHODS

Mobile applications were identified during October and November 2022 after a systematic keyword search on the 2 main application download platforms (App Store and Google Play Store). Inclusion criteria were free availability, date of last update and availability in French. Two healthcare professionals independently evaluated the included apps using the MARS-F, an objective score validated for assessing the overall quality of apps in the mobile healthcare field. An intra-class correlation coefficient was calculated to determine inter-rater reliability

RESULTS

960 applications were identified, and 49 were selected (25 from the App Store and 24 from the Google Play Store). Inter-rater reliability was excellent (ICC: 0.92; 95%IC [0.87; 0.95]; p < 0.001). The average MARS-F was 3.56 on App Store and 3.51 on Google Play Store, with 10 apps scoring above 4/5. Two apps were studied by at least one randomized clinical trial with positive results. The 2 apps with the highest ratings were "mediteo rappel de médicaments" and "TOM Rappel medicaments, pilule", available on both platforms. The MARS-F of each app was weakly correlated with user ratings on the App Store, and moderately correlated on Google Play Store.

CONCLUSIONS

To our knowledge, this is the first study to evaluate medication management applications that send medication reminders using a validated score. The quality of the apps was heterogeneous, with only 2 having been studied in a randomized controlled trial with positive results. The evaluation of applications in real-life conditions by patients is necessary in order to study their acceptability and effectiveness. Certification of applications is also essential, to help healthcare professionals and patients identify validated applications.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3