PMID- 34861793 OWN - NLM STAT- MEDLINE DCOM- 20230816 LR - 20230816 IS - 1932-2968 (Electronic) IS - 1932-2968 (Linking) VI - 17 IP - 2 DP - 2023 Mar TI - Mobile App Interventions to Improve Medication Adherence Among Type 2 Diabetes Mellitus Patients: A Systematic Review of Clinical Trials. PG - 458-466 LID - 10.1177/19322968211060060 [doi] AB - BACKGROUND: Medication adherence in type 2 diabetes mellitus (T2DM) patients is often suboptimal resulting in complications. There has been a growing interest in using mobile apps for improving medication adherence. OBJECTIVE: The objective of this work was to systematically review the clinical trials that have used mobile app-based interventions in T2DM patients for improving medication adherence. METHODOLOGY: A systematic search was performed to identify published clinical trials between January 2008 and December 2020 in databases-PubMed, Cochrane Library, and Google Scholar. All studies were assessed for risk of bias using quality rating tool from the Cochrane Handbook for Systematic Reviews of Interventions. RESULTS: Seven clinical studies having 649 participants were studied. The median sample size was 58 (range = 41-247) and the median age of participants was 53.2 (range = 48-69.4) years. All studies showed improvements in adherence; however, only three studies reported statically significant improvements in adherence measures. Selected studies were deemed as unclear in their risk of bias and the most common source of risk of bias among the studies was the absence of objective outcome assessment. CONCLUSIONS: Mobile apps appear to be effective interventions to help improve medication adherence in T2DM patients compared with conventional care strategies. The features of the App to improvise medical adherence cannot be defined based on the meta-analysis because of heterogeneity of study designs and less number of sample size. Systematically planned studies would set up applicability of mobile apps in the clinical management of T2DM. FAU - Shrivastava, Tarani Prakash AU - Shrivastava TP AUID- ORCID: 0000-0002-4200-8436 AD - Department of Pharmacology, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India. FAU - Goswami, Shikha AU - Goswami S AD - Department of Pharmacology, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India. FAU - Gupta, Rahul AU - Gupta R AD - Department of Pharmacology, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India. FAU - Goyal, Ramesh K AU - Goyal RK AD - Department of Pharmacology, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India. LA - eng PT - Journal Article PT - Systematic Review DEP - 20211203 PL - United States TA - J Diabetes Sci Technol JT - Journal of diabetes science and technology JID - 101306166 SB - IM MH - Aged MH - Humans MH - Middle Aged MH - *Diabetes Mellitus, Type 2/drug therapy MH - Medication Adherence MH - *Mobile Applications MH - Research Design MH - Adaptive Clinical Trials as Topic PMC - PMC10012382 OTO - NOTNLM OT - blood glucose OT - digital interventions OT - medication adherence OT - mobile app OT - self-monitoring of blood glucose OT - type 2 diabetes mellitus COIS- The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. EDAT- 2021/12/05 06:00 MHDA- 2023/03/09 06:00 PMCR- 2022/12/03 CRDT- 2021/12/04 05:20 PHST- 2021/12/05 06:00 [pubmed] PHST- 2023/03/09 06:00 [medline] PHST- 2021/12/04 05:20 [entrez] PHST- 2022/12/03 00:00 [pmc-release] AID - 10.1177_19322968211060060 [pii] AID - 10.1177/19322968211060060 [doi] PST - ppublish SO - J Diabetes Sci Technol. 2023 Mar;17(2):458-466. doi: 10.1177/19322968211060060. Epub 2021 Dec 3.