Mobile app interventions to improve medication adherence among type 2 diabetes mellitus patients: A systematic review of clinical trials
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The literature presents conflicting findings on the impact of apps in improving therapy adherence.
“The literature presents conflicting findings on the impact of apps in improving therapy adherence (34) (35).”
From Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the ‘TreC Diabete’ platform (TELEMECHRON Study) (2025) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · see citing works
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,759 · see citing works
Artificial intelligence in healthcare: past, present and future
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017) · Stroke and Vascular Neurology · doi:10.1136/svn-2017-000101 · Cited by 4,837 · see citing works
A systematic review of adherence with medications for diabetes
Cramer, J. A. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1218 · Cited by 1,203 · see citing works
6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s006 · Cited by 744 · see citing works
Defining and Characterizing the Progression of Type 2 Diabetes
Fonseca, V. A. (2009) · Diabetes Care · doi:10.2337/dc09-s301 · Cited by 573 · see citing works
The Burden of Treatment Failure in Type 2 Diabetes
Brown, J. B., Nichols, G. A., & Perry, A. (2004) · Diabetes Care · doi:10.2337/diacare.27.7.1535 · Cited by 424 · see citing works
Patient adherence to medication requirements for therapy of type 2 diabetes
Bailey, C. J., & Kodack, M. (2011) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2010.02544.x · Cited by 255 · see citing works
Wang, Y., Min, J., Khuri, J., Xue, H., Xie, B., A Kaminsky, L., & J Cheskin, L. (2020) · JMIR mHealth and uHealth · doi:10.2196/15400 · Cited by 250 · see citing works
Frias, J., Virdi, N., Raja, P., Kim, Y., Savage, G., & Osterberg, L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7833 · Cited by 211 · see citing works
The digital placebo effect: mobile mental health meets clinical psychiatry
Torous, J., & Firth, J. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00565-9 · Cited by 200 · see citing works
The Role of Adherence on the Effectiveness of Nonpharmacologic Interventions
Inouye, S. K., Bogardus, S. T., Williams, C. S., Leo-Summers, L. S., & Agostini, J. V. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.8.958 · Cited by 179 · see citing works
Yang, Y., Lee, E. Y., Kim, H.-S., Lee, S.-H., Yoon, K.-H., & Cho, J.-H. (2020) · JMIR mHealth and uHealth · doi:10.2196/16266 · Cited by 148 · see citing works
Armitage, L. C., Kassavou, A., & Sutton, S. R. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-032045 · Cited by 135 · see citing works
The Current Status of mHealth for Diabetes: Will it Be the Next Big Thing?
Klonoff, D. C. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700321 · Cited by 122 · see citing works
Brath, H., Morak, J., Kästenbauer, T., Modre‐Osprian, R., Strohner‐Kästenbauer, H., Schwarz, M., Kort, W., & Schreier, G. (2013) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.12184 · Cited by 121 · see citing works
Kleinman, N. J., Shah, A., Shah, S., Phatak, S., & Viswanathan, V. (2017) · Telemedicine and e-Health · doi:10.1089/tmj.2016.0265 · Cited by 116 · see citing works
Huang, Z., Tan, E. J. H., Lum, E., Sloot, P. M. A., Boehm, B. O., & Car, J. (2019) · JMIR mhealth and uhealth · doi:10.2196/14914 · Cited by 100 · see citing works
Dash, S. P. (2020) · Journal of the Indian Institute of Science · doi:10.1007/s41745-020-00208-y · Cited by 91 · see citing works
Goldstein, C. M., Gathright, E. C., Dolansky, M. A., Gunstad, J., Sterns, A., Redle, J. D., Josephson, R., & Hughes, J. W. (2014) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x14541039 · Cited by 86 · see citing works
Healthcare Data Security Technology: HIPAA Compliance
Mbonihankuye, S., Nkunzimana, A., & Ndagijimana, A. (2019) · Wireless Communications and Mobile Computing · doi:10.1155/2019/1927495 · Cited by 82 · see citing works
Designing mobile business applications for different age groups
Gurtner, S., Reinhardt, R., & Soyez, K. (2014) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.06.020 · Cited by 79 · see citing works
Clinical inertia in the management of type 2 diabetes mellitus: a focused literature review
Khunti, S., Davies, M. J., & Khunti, K. K. (2015) · The British Journal of Diabetes · doi:10.15277/bjdvd.2015.019 · Cited by 67 · see citing works
Doocy, S., Paik, K., Lyles, E., Tam, H. H., Fahed, Z., Winkler, E., Kontunen, K., Mkanna, A., & Burnham, G. M. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7745 · Cited by 66 · see citing works
The economic rationale for adherence in the treatment of type 2 diabetes mellitus.
Wild, H. (2012) · PubMed · Cited by 65 · see citing works
The impact of mobile applications on medication adherence: a systematic review
Ng, R., Carter, S. R., & El‐Den, S. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz125 · Cited by 31 · see citing works
Kjos, A. L., Vaughan, A. G., & Bhargava, A. (2019) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2018.12.012 · Cited by 22 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Diabetes Atlas: 9th edition. Brussels, Belgium: International Diabetes Federation; 2019. http://www.diabetesatlas.org. Accessed January 17, 2021.
- 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.
Cited by
Sorted by citations
Machine Learning and Smart Devices for Diabetes Management: Systematic Review
Makroum, M. A., Adda, M., Bouzouane, A., & Ibrahim, H. (2022) · Sensors · doi:10.3390/s22051843 · Cited by 145 · see citing works
Piragine, E., Petri, D., Martelli, A., Calderone, V., & Lucenteforte, E. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12051981 · Cited by 106 · see citing works
Chong, C. J., Makmor‐Bakry, M., Hatah, E., Tahir, N. A. M., & Mustafa, N. (2023) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x231174933 · Cited by 29 · see citing works
Paneerselvam, G. S., Lua, P. L., Chooi, W. H., Rehman, I. U., Goh, K. W., & Ming, L. C. (2024) · Journal of Medical Internet Research · doi:10.2196/53144 · Cited by 23 · see citing works
Ágh, T., Hiligsmann, M., Borah, B. J., Beaudart, C., Turcu-Ştiolică, A., Manias, E., Jakab, I., Pednekar, P. P., Zeber, J. E., & Peterson, A. M. (2023) · Value in Health · doi:10.1016/j.jval.2023.10.016 · Cited by 20 · see citing works
Mayya, V., Kandala, R. N. V. P. S., Gurupur, V. P., King, C., Vu, G. T., & Wan, T. T. H. (2024) · Health Services Research and Managerial Epidemiology · doi:10.1177/23333928241275292 · Cited by 23 · see citing works
A framework for understanding sources of bias in medication adherence research
Sinnappah, K. A., Hughes, D. A., Stocker, S. L., Vrijens, B., Aronson, J. K., & Wright, D. F. B. (2023) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.15863 · Cited by 17 · see citing works
HIGHTON, P. J., Funnell, M. P., Gupta, P., Zaccardi, F., Lim, L., Seidu, S., & Khunti, K. (2025) · Diabetologia · doi:10.1007/s00125-025-06617-x · Cited by 22 · see citing works
Vogel, C., Grimm, B. P., Marmor, M. T., Sivananthan, S., Richter, P. H., Yarboro, S. R., Hanflik, A. M., Histing, T., & Braun, B. J. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13113134 · Cited by 15 · see citing works
Heald, A. H., Roberts, S., Gimeno, L. A., Gilingham, E., James, M., White, A., Saboo, A., Beresford, L., Crofts, A., & Abraham, J. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01404-6 · Cited by 11 · see citing works
Mobile apps for diabetes self-management: An updated review of app features and effectiveness
Corsica, J. A., Kelly, M. C., Bradley, L. E., Konsor, M., Wilson, E. J., Quinones, I. C., Jeddi, R. W., & Markey, M. A. (2024) · Journal of Behavioral Medicine · doi:10.1007/s10865-024-00525-y · Cited by 11 · see citing works
Wang, X., Wang, B., Tew, W. Y., Yang, X., Xu, X., Gao, Y., Chen, Y., & Yam, M. F. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3190 · Cited by 10 · see citing works
Seo, S., Kim, C., Kang, H. S., Kim, D. J., & Schlenk, E. A. (2024) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106241293120 · Cited by 8 · see citing works
Analyzing the Role of Health Apps in Promoting Healthy Lifestyle and Preventive Care
Kotha, H. K. (2023) · International Journal of Science and Research (IJSR) · doi:10.21275/sr231111061822 · Cited by 6 · see citing works
Longhini, J., Pedrotti, D., Foladori, F., Stedile, M., Stefani, F., Ben, M. D., Froner, A., Pesci, M. P., Toccoli, S., & Brugnolli, A. (2026) · Journal of Medical Internet Research · doi:10.2196/88708 · Cited by 4 · see citing works
Pasamba, L. A., Titaley, C. R., Istia, S. S., Tahitu, R., Asmin, E., Noya, F. C., Laurence, M. C., Tando, Y. D., Malakauseya, M. L. V., & Sara, L. S. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1729623 · Cited by 3 · see citing works
Jackson-Morris, A. M., Calopietro, M., Reddiar, S. K., Kataria, I., Ramaiya, K. L., Sumanathilleke, M. R., Wickramasinghe, C., Salum, B., Ubuguyu, O., Ngilangwa, D. P., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-078845 · Cited by 3 · see citing works
Pazzagli, L., Odsbu, I., Cesta, C. E., Bellocco, R., Lagerros, Y. T., & Pasternak, B. (2025) · Clinical and Translational Science · doi:10.1111/cts.70174 · Cited by 3 · see citing works
Giovanazzi, A., Gios, L., Gentilini, M. A., Mastellaro, M., Bartolotta, P., Nicolussi Giacomaz, L., Eccher, C., & Inchiostro, S. (2025) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2025.1589548 · Cited by 2 · see citing works
Indigenous healing practices in Bangladesh: does science think parallel to these or not?
Yesmin, S., & Akhter, A. (2024) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-05-2023-0161 · Cited by 2 · see citing works
Ekenberg, M., Landin, F., & Wettermark, B. (2024) · Patient Preference and Adherence · doi:10.2147/ppa.s481152 · Cited by 2 · see citing works
Pacheco, M. P., Sá, P., Santos, G., Boa‐Sorte, N., Domingues, K., Assis, L. V. M., Silva, M., Oliveira, A., Santos, D. W. D. C. L., Ferreira, J. M., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0295832 · Cited by 1 · see citing works
Seiglie, J. A., Tobolsky, S., Trevino, R. C., Cordova, L., CROMER, S. J., Caballero, A. E., Alegria, M. M., Miranda, J. J., Wexler, D. J., & Mayberry, L. S. (2025) · JMIR Human Factors · doi:10.2196/66668 · Cited by 1 · see citing works
Paudel, G., Vandelanotte, C., Dahal, P., & Rawal, L. B. (2025) · SSM - Health Systems · doi:10.1016/j.ssmhs.2025.100083 · Cited by 4 · see citing works
Höld, E., Hemetek, U., Tremmel, K., Aubram, T., Grüblbauer, J., Wiesholzer, M., Schwanda, M., & Stieger, S. (2025) · Diabetology · doi:10.3390/diabetology6050044 · Cited by 1 · see citing works
Contactless vital signs measurement along the patient journey: design for explainable AI solutions
Boda, P., Boda, M. C., & Malmberg, S. (2026) · Design for Health · doi:10.1080/24735132.2026.2621372 · Cited by 1 · see citing works
Geirhos, A., Bendig, E., SCHMITT, A. J., Ebert, D. D., & Baumeister, H. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_16
User-Centered Usability Evaluation of the DiaCare App for Diabetes Self-Management: A uMARS Analysis
Kurnia, A., Said, F. M., & Panduragan, S. L. (2024) · Al-Rafidain Journal of Medical Sciences · doi:10.54133/ajms.v7i2.1499
Empowering Older Adults With Mobile Device Reminders for Medication Adherence
Oliver-Hamilton, G., Miller, B. A., Forehand, J. W., Hilburn, A., & Ash, S. (2025) · Home Healthcare Now · doi:10.1097/nhh.0000000000001315
Digital Health Technology and Advanced Analytics in Lifestyle Medicine
Thomas, J. G., Panza, E. A., Perski, O., & Goldstein, S. P. (2025) · Springer eBooks · doi:10.1007/978-3-031-82888-1_31
Coutinho, F., Ogourtsova, T., Brien, M., Krishna, D., Saxena, G., Prakash, D., Venkatachalapathy, N., & Ponnusamy, R. (2025) · JMIR Pediatrics and Parenting · doi:10.2196/71827
Brunner, P., Papukchieva, S., Friedrich, B., Steinmetz‐Späh, J., Hammer, M., Kienhöfer, J., Ebert, T., & Lautenbach, A. (2025) · doi:10.2196/preprints.81461
Ensuring Dosage Adherence in the Digital Era of IoT and AI
Sharma, S., Tomar, D. S., Sunita, D., Yashwanth, K. K., & Sharma, A. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815324457125010012
Saito, Y., Kikuchi, N., Watanabe, K., Nakamura, S., & Narimatsu, H. (2025) · JMIR Human Factors · doi:10.2196/63123
Aftab, R. A., Ramlan, M. F. B., Asim, Z., & Shaik, I. (2026) · Journal of Public Health · doi:10.1007/s10389-026-02716-0
Zivkovic, J., Mitter, M., Kober, J., Newman, R., Theodorou, D., & Silbermann, S. (2026) · Diabetes Technology and Obesity Medicine · doi:10.1177/29986702261431097
Puri, S., Ravikumar, S., Vashisht, D., Ahluwalia, S., & Randhawa, A. S. (2026) · Preventive Medicine Research & Reviews · doi:10.4103/pmrr.pmrr_134_25
Khalil, A. D., Rasool, A., & Dawood, M. (2025) · Axis Community Research Journal (ACRJ) · doi:10.67129/rb8j4j32
Patient-Engaged AI: The Nursing Path to Health Equity
Milo, R. B., Etland, C., Martínez, N., Scott, S., Leon, C. D., Calero, P., Nibbelink, C. W., Georges, J. M., & Connelly, C. D. (2026) · SAGE Open Nursing · doi:10.1177/23779608261466379
Fajoyomi, J., & Meacham, S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-24807-7_11
Hote, P. K., Venkatesan, L., Garg, R., Chalga, M. S., Kalaivani, M., & Gopichandran, L. (2026) · BMC Digital Health · doi:10.1186/s44247-026-00288-3
Brunner, P., Papukchieva, S., Friedrich, B., Steinmetz‐Späh, J., Hammer, M., Kienhöfer, J., Ebert, T., & Lautenbach, A. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1824377
Wang, X., Pu, M., Liu, Y., Zhao, Z., & Wang, Y. (2026) · Journal of Medical Biochemistry · doi:10.5937/jomb0-66780
A Scoping Review of Digital Behavioral Approaches to Improve Medication Adherence in Type 2 Diabetes
Huang, Y., Tiao, P.-H., & Shiyanbola, O. O. (2026) · Current Diabetes Reports · doi:10.1007/s11892-026-01642-5
Ekenberg, M., Hägglund, M., Wettermark, B., Schaal, M. S., & Svensberg, K. (2026) · BMC Digital Health · doi:10.1186/s44247-026-00304-6
Sezer, E., & GÜR, G. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1948010
- 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
- Publisher
- SAGE Publications
- Published
- 2021-12-03
- Volume
- 17
- Issue
- 2
- Pages
- 458-466
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC10012382
- 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
- green
- www.ncbi.nlm.nih.gov
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review