Chong Cheng Jun, Bakry Mohd Makmor, Hatah Ernieda, Mohd Tahir Nor Asyikin, Mustafa Norlaila
Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
J Telemed Telecare. 2023 May 30:1357633X231174933. doi: 10.1177/1357633X231174933.
The prevalence of non-adherence to antidiabetic treatment remains high despite various efforts. Thus, the positive effects of the antidiabetic treatment cannot be optimised and the disease progresses to complications. This present systematic review and meta-analysis aimed to evaluate the effects of mobile applications (apps) intervention on medication adherence and type 2 diabetes mellitus (T2DM) control.
This research was conducted following the PRISMA guidelines. The databases that had been searched included Web of Science, PubMed, Scopus, Cochrane Library and Ovid from 2017 to 2022. Study characteristics were retrieved and study outcomes such as adherence status and diabetes control were extracted and quantitatively analysed through meta-analysis.
Eight studies met the final inclusion criteria and were included in the analysis, contributing to a total of 884 subjects. The methodological quality of the included studies was variable. Three studies reported statistically significant improvement in medication adherence through mobile apps intervention. Additionally, the mobile apps intervention proved effective in reducing glycaemic outcomes. As compared to non-mobile apps users, glycated haemoglobin (HbA1c) significantly decreased by 0.36% (95% CI -0.47% to -0.25%), whereas fasting plasma glucose (FPG) significantly decreased by 16.75 mg/dL (95% CI -17.60 mg/dL to -15.80 mg/dL).
Mobile apps intervention had beneficial impacts on medication adherence and glycaemic parameters. Future research should explore the best practical approach for real-world settings.
尽管已经做出了各种努力,但抗糖尿病治疗的不依从率仍然很高。因此,抗糖尿病治疗的积极效果无法得到优化,疾病会发展为并发症。本系统评价与荟萃分析旨在评估移动应用程序(应用)干预对药物依从性和2型糖尿病(T2DM)控制的影响。
本研究遵循PRISMA指南进行。检索的数据库包括2017年至2022年的Web of Science、PubMed、Scopus、Cochrane图书馆和Ovid。检索研究特征,并提取诸如依从性状态和糖尿病控制等研究结果,通过荟萃分析进行定量分析。
八项研究符合最终纳入标准并纳入分析,共计884名受试者。纳入研究的方法学质量参差不齐。三项研究报告称,通过移动应用程序干预,药物依从性有统计学显著改善。此外,移动应用程序干预被证明对降低血糖结果有效。与非移动应用程序用户相比,糖化血红蛋白(HbA1c)显著降低了0.36%(95%CI -0.47%至-0.25%),而空腹血糖(FPG)显著降低了16.75mg/dL(95%CI -17.60mg/dL至-15.80mg/dL)。
移动应用程序干预对药物依从性和血糖参数有有益影响。未来的研究应探索适用于现实环境的最佳实用方法。