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Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Open accessAbstract
BACKGROUND: Diabetes Mellitus (DM) is a chronic disease that is considered a global public health problem. Education and self-monitoring by diabetic patients help to optimize and make possible a satisfactory metabolic control enabling improved management and reduced morbidity and mortality. The global growth in the use of mobile phones makes them a powerful platform to help provide tailored health, delivered conveniently to patients through health apps. OBJECTIVE: The aim of our study was to evaluate the efficacy of mobile apps through a systematic review and meta-analysis to assist DM patients in treatment. METHODS: We conducted searches in the electronic databases MEDLINE (Pubmed), Cochrane Register of Controlled Trials (CENTRAL), and LILACS (Latin American and Caribbean Health Sciences Literature), including manual search in references of publications that included systematic reviews, specialized journals, and gray literature. We considered eligible randomized controlled trials (RCTs) conducted after 2008 with participants of all ages, patients with DM, and users of apps to help manage the disease. The meta-analysis of glycated hemoglobin (HbA1c) was performed in Review Manager software version 5.3. RESULTS: The literature search identified 1236 publications. Of these, 13 studies were included that evaluated 1263 patients. In 6 RCTs, there were a statistical significant reduction (P<.05) of HbA1c at the end of studies in the intervention group. The HbA1c data were evaluated by meta-analysis with the following results (mean difference, MD -0.44; CI: -0.59 to -0.29; P<.001; I²=32%).The evaluation favored the treatment in patients who used apps without significant heterogeneity. CONCLUSIONS: The use of apps by diabetic patients could help improve the control of HbA1c. In addition, the apps seem to strengthen the perception of self-care by contributing better information and health education to patients. Patients also become more self-confident to deal with their diabetes, mainly by reducing their fear of not knowing how to deal with potential hypoglycemic episodes that may occur.
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“Despite this, the majority of mobile applications for the management of T2D focus solely on the measurement and control of blood glucose or in combination with diet, blood pressure control and weight or physical activity in a way that is not very detailed [35,36].”
From Impact of a primary care-based mobile health intervention to ‘sit less and move more’ on HbA1c, blood pressure, and other clinical outcomes in office employees with type 2 diabetes: A randomized controlled trial (2025) · cites this paper as [35]
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Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
Turner, R. C., Fox, C., Matthews, McElroy, H. H., Cull, C. A., Holman, R. R., Neil, P., Hadden, D. R., Wright, D., Manley, E., et al. (1998) · The Lancet · Cited by 8,419
Stearne, M. R., Palmer, S. L., Hammersley, M. S., Franklin, S. L., Spivey, R. S., Lévy, J., Tidy, C. R., Bell, N. J., Steemson, J., Barrow, B. A., et al. (1998) · UCL Discovery (University College London) · Cited by 4,803
Economic Costs of Diabetes in the U.S. in 2002
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.3.917 · Cited by 4,147
Gupta, A., & Uribarri, J. (2016) · Hormone Research in Paediatrics · doi:10.1159/000444053 · Cited by 4,023
Research works printed but not linked: 3
- International Diabetes Federation20152016-07-04IDF Diabetes Atlas, Seventh Edition http://www.diabetesatlas.org/resources/2015-atlas.html
- Lee, E, 2011, Stud Health Technol Inform, 169, 23
- 10.1056/NEJM199309303291401 · DOI · Paper page
Cited by
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Greenwood, D. A., Gee, P. M., Fatkin, K. J., & Peeples, M. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817713506 · Cited by 526
Shan, R., Sarkar, S., & Martin, S. S. (2019) · Diabetologia · doi:10.1007/s00125-019-4864-7 · Cited by 339
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Villinger, K., Wahl, D. R., Boeing, H., Schupp, H. T., & Renner, B. (2019) · Obesity Reviews · doi:10.1111/obr.12903 · Cited by 310
Timpel, P., Oswald, S., Schwarz, P. E. H., & Harst, L. (2020) · Journal of Medical Internet Research · doi:10.2196/16791 · Cited by 243
Jeffrey, B., Bagala, M., Creighton, A., Leavey, T., Nicholls, S., Wood, C., Longman, J., Barker, J., & Pit, S. (2019) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-019-0480-4 · Cited by 212
Zhang, Y., Liu, C., Luo, S., Xie, Y., Liu, F., Li, X., & Zhou, Z. (2019) · Journal of Medical Internet Research · doi:10.2196/15023 · Cited by 207
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Alessa, T., Hawley, M. S., Hock, E. S., & de Witte, L. (2019) · JMIR mHealth and uHealth · doi:10.2196/13645 · Cited by 170
Iribarren, S., Akande, T. O., Kamp, K., Barry, D., Kader, Y. G., & Suelzer, E. M. (2020) · JMIR mhealth and uhealth · doi:10.2196/21563 · Cited by 216
Liu, K., Xie, Z., & Or, C. K. (2020) · JMIR mHealth and uHealth · doi:10.2196/15779 · Cited by 181
Alessa, T., Abdi, S., Hawley, M. S., & de Witte, L. (2018) · JMIR mhealth and uhealth · doi:10.2196/10723 · Cited by 160
DUGAS, M. A., Gao, G. G., & Agarwal, R. (2020) · Digital Health · doi:10.1177/2055207620905411 · Cited by 159
Hou, C., Xu, Q., Diao, S., Hewitt, J., Li, J., & Carter, B. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13307 · Cited by 127
Godman, B., Basu, D., Pillay, Y. G., Mwita, J. C., Rwegerera, G. M., Paramadhas, B. D. A., Tiroyakgosi, C., Okwen, P., Niba, L. L., Nonvignon, J., et al. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00108 · Cited by 145
Kebede, M. M., & Pischke, C. R. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00135 · Cited by 144
Smartphone apps and the nutrition care process: Current perspectives and future considerations
Chen, J., Gemming, L., Hanning, R. M., & Allman-Farinelli, M. A. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.11.011 · Cited by 120
Young, H. M., Miyamoto, S., Dharmar, M., & Tang-Feldman, Y. J. (2019) · JMIR mhealth and uhealth · doi:10.2196/16665 · Cited by 156
Zhang, Y., Li, X., Luo, S., Liu, C., Xie, Y., Guo, J., Liu, F., & Zhou, Z. (2019) · JMIR mhealth and uhealth · doi:10.2196/12658 · Cited by 109
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Using SOR framework to explore the driving factors of older adults smartphone use behavior
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He, Q., Zhao, X., Wang, Y., Xie, Q., & Cheng, L. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14993 · Cited by 92
Stevens, S., Gallagher, S., Andrews, T., Ashall-Payne, L., Humphreys, L., & Leigh, S. (2022) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2022.936752 · Cited by 84
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Kelly, J. T., Allman-Farinelli, M. A., Chen, J., Partridge, S. R., Collins, C. E., Rollo, M. E., Haslam, R. L., Diversi, T., & Campbell, K. L. (2020) · Nutrition & Dietetics · doi:10.1111/1747-0080.12619 · Cited by 88
Lee, E. Y., Cha, S.-A., Yun, J.-S., Lim, S.-Y., Lee, J.-H., Ahn, Y.-B., Yoon, K.-H., Hyun, M. K., & Ko, S.-H. (2022) · Journal of Medical Internet Research · doi:10.2196/37430 · Cited by 83
Ernsting, C., Stühmann, L. M., Dombrowski, S. U., Voigt‐Antons, J., Kuhlmey, A., & Gellert, P. R. (2019) · JMIR mhealth and uhealth · doi:10.2196/12179 · Cited by 91
Khoong, E. C., Olazo, K., Rivadeneira, N. A., Thatipelli, S., Barr-Walker, J., Fontil, V., Lyles, C. R., & Sarkar, U. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00486-5 · Cited by 73
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Zheng, C., Chen, X., Weng, L., Guo, L., Xu, H., Lin, M., Xue, Y., Lin, X., Yang, A., Yu, L., et al. (2020) · JMIR mHealth and uHealth · doi:10.2196/17055 · Cited by 69
Reddy, N., Verma, N., & Dungan, K. M. (2020) · MDText.com, Inc. eBooks · Cited by 68
Berman, M. A., Guthrie, N. L., Edwards, K. L., Appelbaum, K. J., Njike, V. Y., Eisenberg, D. M., & Katz, D. L. (2018) · JMIR Diabetes · doi:10.2196/diabetes.9591 · Cited by 71
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Efficacy of eHealth Interventions for Adults with Diabetes: A Systematic Review and Meta-Analysis
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Cucciniello, M., Petracca, F., Ciani, O., & Tarricone, R. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00517-1 · Cited by 78
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Hayıroğlu, M. İ., Çinier, G., Yüksel, G., Pay, L., Durak, F., Çınar, T., İnan, D., Parsova, K. E., Vatanoğlu, E. G., ŞEKER, M. M., et al. (2021) · Kardiologia Polska · doi:10.33963/kp.a2021.0112 · Cited by 54
Clinical relevance of smartphone apps for diabetes management: A global overview
Huang, Z., Soljak, M., Boehm, B. O., & Car, J. (2018) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2990 · Cited by 56
Zhang, Y., Li, X., Luo, S., Liu, C., Liu, F., & Zhou, Z. (2018) · JMIR mhealth and uhealth · doi:10.2196/11400 · Cited by 53
Hilmarsdóttir, E., Sigurðardóttir, Á. K., & Arnardóttir, R. H. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820942286 · Cited by 58
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Bonn, S. E., Alexandrou, C., Hjörleifsdottir Steiner, K., Wiklander, K., Östenson, C.-G., Löf, M., & Trolle Lagerros, Y. (2018) · BMC Public Health · doi:10.1186/s12889-018-5026-4 · Cited by 48
Yang, C., Liu, C., & Wang, Y. (2022) · Library Hi Tech · doi:10.1108/lht-12-2021-0432 · Cited by 47
Kang, J., Chen, Y., Zhao, Y., & Zhang, C. (2021) · Primary care diabetes · doi:10.1016/j.pcd.2020.12.004 · Cited by 49
Muscat, D. M., Lambert, K., Shepherd, H. L., McCaffery, K. J., Zwi, S., Liu, N., Sud, K., Saunders, J., O’Lone, E., Kim, J., et al. (2020) · Health Promotion Journal of Australia · doi:10.1002/hpja.416 · Cited by 50
Keller, R., Hartmann, S., Teepe, G. W., Lohse, K.-M., Alattas, A., Car, L. T., Müller‐Riemenschneider, F., von Wangenheim, F., Mair, J. L., & Kowatsch, T. (2021) · Journal of Medical Internet Research · doi:10.2196/33348 · Cited by 44
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Kordonouri, O., & Riddell, M. C. (2019) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018819839298 · Cited by 45
Ruissen, M. M., Torres-Peña, J. D., Uitbeijerse, B. S., Arenas de Larriva, A. P., Huisman, S. D., Namli, T., Salzsieder, E., Vogt, L., Ploessnig, M., van der Putte, B., et al. (2023) · Diabetologia · doi:10.1007/s00125-023-06006-2 · Cited by 43
Yang, C., Li, C.-L., Yeh, T., & Chang, Y.-C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095403 · Cited by 42
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Franc, S., Hanaire, H. P., Benhamou, P., Schaepelynck, P., Catargi, B., Farret, A., Fontaine, P., Guerci, B., Reznik, Y., Jeandidier, N., et al. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0021 · Cited by 39
Susło, R., Paplicki, M., Dopierała, K., & Drobnik, J. (2018) · Family Medicine & Primary Care Review · doi:10.5114/fmpcr.2018.78273 · Cited by 37
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Steenkamp, D., Eby, E. L., Gulati, N., & Liao, B. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/1932296821997923 · Cited by 33
Oka, R., Nomura, A., Yasugi, A., Kometani, M., Gondoh, Y., Yoshimura, K., & Yoneda, T. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-0595-5 · Cited by 32
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Geirhos, A., Stephan, M., Wehrle, M., Mack, C., Meßner, E.-M., SCHMITT, A. J., Baumeister, H., Terhorst, Y., & Sander, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-07544-2 · Cited by 28
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Sze, W. T., Waki, K., Enomoto, S., Nagata, Y., Nangaku, M., Yamauchi, T., & Ohe, K. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104481 · Cited by 34
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Glattacker, M., Boeker, M., Anger, R., Reichenbach, F., Tassoni, A., Bredenkamp, R., & Giesler, J. M. (2020) · JMIR mhealth and uhealth · doi:10.2196/15514 · Cited by 28
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Ruiz-León, A. M., Casas, R. M., Castro‐Barquero, S., Alfaro-González, S., Radeva, P. I., Sacanella, E., Casanovas-Garriga, F., Pérez-Gesalí, A., & Estruch, R. (2024) · Journal of Medical Internet Research · doi:10.2196/58319 · Cited by 35
Schramm, K., Graßl, N., Nees, J., Hoffmann, J., Stepan, H., Bruckner, T. M., Haun, M. W., Maatouk, I., Haist, M., Schott, T. C., et al. (2019) · JMIR mhealth and uhealth · doi:10.2196/11458 · Cited by 25
Yoon, S., Kwan, Y. H., Phang, J. K., Tan, W. B., & Low, L. L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192215415 · Cited by 28
Abd-Alrazaq, A. A., Suleiman, N., Baagar, K. A. M., Jandali, N., Alhuwail, D., Abdalhakam, I., Shahbal, S., Abou‐Samra, A., & Househ, M. S. (2021) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2021.100002 · Cited by 23
Gómez, A. M., Henao, D. C., Vargas, F. M. L., Múñoz, Ó., Pantoja, Ó. D. L., Maira, G., Aldea, A., Martin, C. E., Hortúa, L. M. R., Reyes, C. P. R., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109948 · Cited by 25
Sadler, S. G., Gerrard, J. M., Searle, A., Lanting, S. M., West, M., Wilson, R. L., Ginige, A., Fang, K. Y., & Chuter, V. (2023) · Journal of Medical Internet Research · doi:10.2196/47608 · Cited by 27
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Gardner, D. S.-L., Saboo, B., Kesavadev, J., Mustafa, N., Villa, M. L., Mahoney, E., & Bajpai, S. (2025) · Diabetes Therapy · doi:10.1007/s13300-025-01692-0 · Cited by 27
Chiu, C., Yu, Y.-C., Du, Y., Yang, Y., Chen, J., Wong, L. P., & Tanasugarn, C. (2020) · JMIR mhealth and uhealth · doi:10.2196/14024 · Cited by 23
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Badawy, S. M., Morrone, K. A., Thompson, A. A., & Palermo, T. M. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012900.pub2 · Cited by 21
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Zhuang, Q., Chen, F., & Wang, T. (2020) · Primary Care Diabetes · doi:10.1016/j.pcd.2019.09.007 · Cited by 20
Mobile Health Applications, Cancer Survivors, and Lifestyle Modification
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Wong, A. K. C., Wong, F. K. Y., Bayuo, J., Chow, K. K. S., Wong, S. M., & Lee, A. Y. L. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.978416 · Cited by 23
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Metadata
- Authors
- Bonoto, B. C., de Araújo, V. E., Godói, I. P., de Lemos, L. L. P., Godman, B., Bennie, M., Diniz, L. M., & Junior, A. A. G.
- Affiliations
- Universidade Federal de Minas Gerais (BR)
- Karolinska University Hospital (SE)
- University of Strathclyde (GB)
- Corresponding author
- Bonoto, Bráulio Cezar
- ORCID
- Venue
- JMIR mhealth and uhealth
- Publisher
- JMIR Publications Inc.
- Published
- 2017-03-01
- Volume
- 5
- Issue
- 3
- Pages
- e4
- ISSN
- 2291-5222 (ISSN-L)
- PMC
- PMC5352856
- OpenAlex
- W2592184816
- Cited by
- 294
- References
- 53
- Citations by year
- 2026: 19 · 2025: 34 · 2024: 24 · 2023: 32 · 2022: 35 · 2021: 39 · 2020: 33 · 2019: 40 · 2018: 28 · 2017: 10
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR mhealth and uhealth (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Academy of Medical Sciences (AMS-NAF1-GuerraJunior)
- Universidade Federal de Minas Gerais
- Medical Research Council (MR/K007017/1)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- diabetes mellitus, mobile health apps, HbA1c, glycemic control, diabetes self-management, patient education, hypoglycemia, diabetes self-care
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