ASSESSING THE EFFECTIVENESS OF MHEALTH APPS FOR DIABETES MANAGEMENT IN THE US
Keywords:
MHealth Apps, Diabetes Management, Effectiveness Assessment, Cardiovascular DiseaseAbstract
(1) Cardiovascular disease is the leading cause of mortality as well as morbidity globally, and diabetes is a standalone risk factor for it. (Zhang et al., 2019)1 The treatment of diabetes and the provision of care have been transformed by the development of new mobile health (mHealth) technology. While recent studies have looked at mHealth devices as supplemental elements within behavioural interventions aimed at managing and preventing diabetes, a thorough understanding of the effectiveness of mHealth technology as (2) autonomous intervention tools in reducing diabetes risk remains elusive. (Wilson-Anumudu et al., 2021)2 Considering how far mobile health technology has come and become more specifically geared towards managing and preventing diabetes, these modalities will become more and more important in reducing cardiometabolic risk among Americans.
References
Zhang, Y., Liu, C., Luo, S., Xie, Y., Liu, F., Li, X., & Zhou, Z. (2019). Factors influencing patients’ intention to use diabetes management apps based on an extended unified theory of acceptance and use of technology model: Web-based survey. Journal of Medical Internet Research, 21(8). https://doi.org/10.2196/15023
Wilson-Anumudu, F., Quan, R., Castro Sweet, C., Cerrada, C., Juusola, J., Turken, M., & Bradner Jasik, C. (2021). Early Insights From a Digitally Enhanced Diabetes Self-Management Education and Support Program: Single-Arm Nonrandomized Trial. JMIR Diabetes 2021;6(1): E25295 Https://Diabetes.Jmir.Org/2021/1/E25295, 6(1), e25295. https://doi.org/10.2196/25295
Huckvale, K., Adomaviciute, S., Prieto, J. T., Leow, M. K. S., & Car, J. (2015). Smartphone apps for calculating insulin dose: A systematic assessment. BMC Medicine, 13(1), 1–10. https://doi.org/10.1186/S12916-015-0314-7/COMMENTS
Van Baelen, F., De Regge, M., Larivière, B., Verleye, K., Schelfout, S., & Eeckloo, K. (2022). Role of Social and App-Related Factors in Behavioral Engagement With mHealth for Improved Well-being Among Chronically Ill Patients: Scenario-Based Survey Study. JMIR Mhealth Uhealth 2022;10(8): E33772 Https://Mhealth.Jmir.Org/2022/8/E33772, 10(8), e33772. https://doi.org/10.2196/33772
Kim, J. W., Ryu, B., Cho, S., Heo, E., Kim, Y., Lee, J., Jung, S. Y., & Yoo, S. (2019). Impact of personal health records and wearables on health outcomes and patient response: Three-arm randomized controlled trial. JMIR MHealth and UHealth, 7(1). https://doi.org/10.2196/12070
Lee, J. A., Choi, M., Lee, S. A., & Jiang, N. (2018). Effective behavioral intervention strategies using mobile health applications for chronic disease management: A systematic review. BMC Medical Informatics and Decision Making, 18(1). https://doi.org/10.1186/S12911-018-0591-0
Li, J., Zhang, C., Li, X., & Zhang, C. (2020). Patients’ emotional bonding with MHealth apps: An attachment perspective on patients’ use of MHealth applications. International Journal of Information Management, 51. https://doi.org/10.1016/J.IJINFOMGT.2019.102054
JMIR mHealth and uHealth - Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps. (n.d.). Retrieved August 18, 2023, from https://mhealth.jmir.org/2015/1/e27
Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015). Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps. JMIR Mhealth Uhealth 2015;3(1):E27 Https://Mhealth.Jmir.Org/2015/1/E27, 3(1), e3422. https://doi.org/10.2196/MHEALTH.3422
Handel, M. J. (2011). MHealth (mobile health)-Using Apps for health and wellness. Explore: The Journal of Science and Healing, 7(4), 256–261. https://doi.org/10.1016/J.EXPLORE.2011.04.011
Doarn, C. R., Latifi, R., Poropatich, R. K., Sokolovich, N., Kosiak, D., Hostiuc, F., Zoicas, C., Buciu, A., & Arafat, R. (2018). Development and Validation of Telemedicine for Disaster Response: The North Atlantic Treaty Organization Multinational System. Telemedicine and E-Health, 24(9), 657–668. https://doi.org/10.1089/TMJ.2017.0237
Smith, A. C., Thomas, E., Snoswell, C. L., Haydon, H., Mehrotra, A., Clemensen, J., & Caffery, L. J. (2020). Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). Https://Doi.Org/10.1177/1357633X20916567, 26(5), 309–313. https://doi.org/10.1177/1357633X20916567
Caffery, L. J., Farjian, M., & Smith, A. C. (2016). Telehealth interventions for reducing waiting lists and waiting times for specialist outpatient services: A scoping review. Journal of Telemedicine and Telecare, 22(8), 504–512. https://doi.org/10.1177/1357633X16670495
Ekeland, A. G., Bowes, A., & Flottorp, S. (2010). Effectiveness of telemedicine: A systematic review of reviews. International Journal of Medical Informatics, 79(11), 736–771. https://doi.org/10.1016/J.IJMEDINF.2010.08.006
Bagot, K. L., Cadilhac, D. A., Vu, M., Moss, K., & Bladin, C. F. (2015). Telemedicine in the acute health setting: A disruptive innovation for specialists (an example from stroke). Journal of Telemedicine and Telecare, 21(8), 443–448. https://doi.org/10.1177/1357633X15610722
DiFilippo, K. N., Huang, W. H. D., & Chapman-Novakofski, K. M. (2018). Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior, 50(6), 620–625. https://doi.org/10.1016/j.jneb.2018.02.002
Karduck, J., & Chapman-Novakofski, K. (2018). Results of the Clinician Apps Survey, How Clinicians Working With Patients With Diabetes and Obesity Use Mobile Health Apps. Journal of Nutrition Education and Behavior, 50(1), 62-69.e1. https://doi.org/10.1016/J.JNEB.2017.06.004
Chow, C. K., Ariyarathna, N., Islam, S. M. S., Thiagalingam, A., & Redfern, J. (2016). mHealth in Cardiovascular Health Care. Heart Lung and Circulation, 25(8), 802–807. https://doi.org/10.1016/j.hlc.2016.04.009
Piderit, M. C., White, Z., & Wenhold, F. A. M. (2022). The development and usability of a web-based mobile application as a dairy intake screener for South African adults. Journal of Dairy Research, 89(4), 453–460. https://doi.org/10.1017/S0022029922000802
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Terry, N. P. (2015). Mobile health: Assessing the barriers. Chest, 147(5), 1429–1434. https://doi.org/10.1378/chest.14-2459
Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: A national survey. JMIR MHealth and UHealth, 3(4). https://doi.org/10.2196/MHEALTH.4924
Sieverdes, J. C., Treiber, F., & Jenkins, C. (2013). Improving diabetes management with mobile health technology. American Journal of the Medical Sciences, 345(4), 289–295. https://doi.org/10.1097/MAJ.0B013E3182896CEE
Maramis, C., Moulos, I., Ioakimidis, I., Papapanagiotou, V., Langlet, B., Lekka, I., Bergh, C., & Maglaveras, N. (2020). A smartphone application for semi-controlled collection of objective eating behavior data from multiple subjects. Computer Methods and Programs in Biomedicine, 194. https://doi.org/10.1016/j.cmpb.2020.105485
Martínez-Pérez, B., De La Torre-Díez, I., & López-Coronado, M. (2013). Mobile health applications for the most prevalent conditions by the world health organization: Review and analysis. Journal of Medical Internet Research, 15(6). https://doi.org/10.2196/JMIR.2600
Powers, M. A., Bardsley, J., Cypress, M., Duker, P., Funnell, M. M., Fischl, A. H., Maryniuk, M. D., Siminerio, L., & Vivian, E. (2015). Diabetes Self-management Education and Support in Type 2 Diabetes: A Joint Position Statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. The Diabetes Educator, 41(4), 417–430. https://doi.org/10.1177/0145721715588904
Gagnon, M. P., Ngangue, P., Payne-Gagnon, J., & Desmartis, M. (2016). M-Health adoption by healthcare professionals: A systematic review. Journal of the American Medical Informatics Association, 23(1), 212–220. https://doi.org/10.1093/JAMIA/OCV052
Eng, D. S., & Lee, J. M. (2013). The Promise and Peril of Mobile Health Applications for Diabetes and Endocrinology. Pediatric Diabetes, 14(4), 231–238. https://doi.org/10.1111/PEDI.12034
de Bruijn, G., Liu, S., & Rhodes, R. (2022). Mobile Health, Behavior Change. The International Encyclopedia of Health Communication, 1–7. https://doi.org/10.1002/9781119678816.IEHC0788
Dawson, R. M., Felder, T. M., Donevant, S. B., McDonnell, K. K., Card, E. B., King, C. C., & Heiney, S. P. (2020). What makes a good health ‘app’? Identifying the strengths and limitations of existing mobile application evaluation tools. Nursing Inquiry, 27(2). https://doi.org/10.1111/NIN.12333
Basnyat, I., Bol, N., & Dean, M. (2022). The International Encyclopedia of Health Communication. The International Encyclopedia of Health Communication. https://doi.org/10.1002/9781119678816
Lee, J. (2014). Hype or hope for diabetes mobile health applications? Diabetes Research and Clinical Practice, 106(2), 390–392. https://doi.org/10.1016/j.diabres.2014.11.001
Fisher, E. B., Chan, J. C. N., Nan, H., Sartorius, N., & Oldenburg, B. (2012). Co-occurrence of diabetes and depression: conceptual considerations for an emerging global health challenge. J Affect Disord, 142 Suppl(SUPPL.), S56-66. https://doi.org/10.1016/s0165-0327(12)70009-5
Aguilera, A., Figueroa, C. A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A., Gomez-Pathak, L., Miramontes, J., Yom-Tov, E., Chakraborty, B., Yan, X., Xu, J., Modiri, A., Aggarwal, J., Jay Williams, J., & Lyles, C. R. (2020). mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study. BMJ Open, 10(8), e034723. https://doi.org/10.1136/BMJOPEN-2019-034723
Margam, R. (2023). CONNECTING HEALTHCARE ECOSYSTEMS: THE JOURNEY OF INTEROPERABILITY. INTERNATIONAL JOURNAL OF BIOINFORMATICS AND BLOCKCHAIN TECHNOLOGY, Year: 2023, Volume: 1, Issue: 1, 1(1), 1–9. https://doi.org/10.17605/OSF.IO/PG6C9
