Cited by 46Mobile Health and mHealth ApplicationsMedication Adherence and ComplianceDiabetes Management and Education

Mobile app interventions to improve medication adherence among type 2 diabetes mellitus patients: A systematic review of clinical trials

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Shrivastava, Tarani Prakash, Goswami, Shikha, Gupta, Rahul, Goyal, Ramesh K.·2023·Journal of Diabetes Science and Technology

Abstract

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.

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Research works printed but not linked: 2

  1. Diabetes Atlas: 9th edition. Brussels, Belgium: International Diabetes Federation; 2019. http://www.diabetesatlas.org. Accessed January 17, 2021.
  2. Sabaté E. Adherence to long term therapies: evidence for action. In Defining Adherence Geneva, Switzerland: World Health Organization; 2003:3-5. https://www.who.int/chp/ knowledge/publications/adherence_full_report.pdf. Accessed February 4, 2021.

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Authors
Shrivastava, T. P., Goswami, S., Gupta, R., & Goyal, R. K.
Affiliations
Delhi Pharmaceutical Science and Research University (IN)
Corresponding author
Shrivastava, Tarani Prakash
Venue
Journal of Diabetes Science and Technology
Published
2021-12-03
Volume
17
Issue
2
Pages
458-466
ISSN
1932-2968 (ISSN-L)
OpenAlex
W3216652581
Cited by
46
References
28
Citations by year
2026: 14 · 2025: 14 · 2024: 9 · 2023: 8 · 2022: 1
FWCI
0.93
Type
journal article
Language
en
Open access
Locations
  • Journal of Diabetes Science and Technology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
mobile health apps, medication adherence, type 2 diabetes, digital interventions, diabetes self-management, risk of bias, objective adherence measurement
MeSH terms
Adaptive Clinical Trials as Topic, Aged, Diabetes Mellitus, Type 2, Humans, Middle Aged, Research Design, Medication Adherence, Mobile Applications

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