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Prescribable mHealth apps identified from an overview of systematic reviews.

作者信息

Byambasuren Oyungerel, Sanders Sharon, Beller Elaine, Glasziou Paul

机构信息

Centre for Research in Evidence-Based Practice (CREBP), Bond University, Robina, QLD Australia.

出版信息

NPJ Digit Med. 2018 May 9;1:12. doi: 10.1038/s41746-018-0021-9. eCollection 2018.


DOI:10.1038/s41746-018-0021-9
PMID:31304297
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6550270/
Abstract

Mobile health apps aimed towards patients are an emerging field of mHealth. Their potential for improving self-management of chronic conditions is significant. Here, we propose a concept of "prescribable" mHealth apps, defined as apps that are currently available, proven effective, and preferably stand-alone, i.e., that do not require dedicated central servers and continuous monitoring by medical professionals. Our objectives were to conduct an overview of systematic reviews to identify such apps, assess the evidence of their effectiveness, and to determine the gaps and limitations in mHealth app research. We searched four databases from 2008 onwards and the Journal of Medical Internet Research for systematic reviews of randomized controlled trials (RCTs) of stand-alone health apps. We identified 6 systematic reviews including 23 RCTs evaluating 22 available apps that mostly addressed diabetes, mental health and obesity. Most trials were pilots with small sample size and of short duration. Risk of bias of the included reviews and trials was high. Eleven of the 23 trials showed a meaningful effect on health or surrogate outcomes attributable to apps. In conclusion, we identified only a small number of currently available stand-alone apps that have been evaluated in RCTs. The overall low quality of the evidence of effectiveness greatly limits the prescribability of health apps. mHealth apps need to be evaluated by more robust RCTs that report between-group differences before becoming prescribable. Systematic reviews should incorporate sensitivity analysis of trials with high risk of bias to better summarize the evidence, and should adhere to the relevant reporting guideline.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d24/6550270/e2e807665e1a/41746_2018_21_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d24/6550270/eb9c80a3944c/41746_2018_21_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d24/6550270/e2e807665e1a/41746_2018_21_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d24/6550270/eb9c80a3944c/41746_2018_21_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d24/6550270/e2e807665e1a/41746_2018_21_Fig2_HTML.jpg

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本文引用的文献

[1]
Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives.

JMIR Diabetes. 2017-1-23

[2]
The Impact of mHealth Interventions: Systematic Review of Systematic Reviews.

JMIR Mhealth Uhealth. 2018-1-17

[3]
Living systematic reviews: 2. Combining human and machine effort.

J Clin Epidemiol. 2017-9-11

[4]
Living systematic review: 1. Introduction-the why, what, when, and how.

J Clin Epidemiol. 2017-9-11

[5]
Overviews of systematic reviews: great promise, greater challenge.

Syst Rev. 2017-9-8

[6]
A Systematic Review and Meta-Analysis of e-Mental Health Interventions to Treat Symptoms of Posttraumatic Stress.

JMIR Ment Health. 2017-5-17

[7]
An overview of systematic reviews of complementary and alternative therapies for fibromyalgia using both AMSTAR and ROBIS as quality assessment tools.

Syst Rev. 2017-5-15

[8]
Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials.

J Affect Disord. 2017-4-25

[9]
Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2017-3-1

[10]
Annual Research Review: Digital health interventions for children and young people with mental health problems - a systematic and meta-review.

J Child Psychol Psychiatry. 2017-4

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