Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: May 25, 2022
Date Accepted: Oct 12, 2022
Effectiveness of Mobile Medical Applications Making Sure Medication Safety on Chronic Disease Patients: A Systematic review and Meta analysis
ABSTRACT
Background:
Along with the rapid development of global aging society, the mobile and health digital market has expanded a lot. There are numerous numbers of Mobile Medical Applications emerged on the Internet market, aiming to help patients with chronic diseases achieve the goal of medication safety
Objective:
Based on the medication safety action proposed by WHO, the effect of Mobile Medical Applications on the medication safety with chronic disease patients was explored from three aspects: whether Mobile Medical Applications can improve the willingness to report adverse drug events, improve patients' medication adherence and reduce medication errors, so we want to verify our hypothesis via systematic review and meta-analysis.
Methods:
We strictly followed PRISMA for meta-analysis, including literature search, inclusion and exclusion, data extraction, quality assessment, statistical analysis and subgroup analysis.
Results:
Our study ultimately included 8 studies from 5 countries (China, U.S, France, Canada, Spain)and time from 2014 to 2021, which Mobile Medical Applications could increase ADE reporting willingness [RR= 2.59,95%CI (1.26-5.30),P＜0.01] and significantly improve medication adherence[RR= 1.17,95%CI (1.04-1.31),P＜0.01], but had little effect on reducing medication errors[RR= 0.41,95%CI (0.13-1.33),P＞0.05].
Conclusions:
To explore the associated reasons for the low willingness to report ADE and encourage the use of comprehensive tools to assess patient medication adherence, and analyze potential reasons why Mobile Medical Applications does not reduce medication errors. Clinical Trial: This systematic review has registered in PROSPERO(an international database of prospectively registered systematic reviews), and register number is CRD42022322072.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.