Top

Gepubliceerd in:

13-07-2016

What do we know about mobile applications for diabetes self-management? A review of reviews

Auteurs: Megan Hood, Rebecca Wilson, Joyce Corsica, Lauren Bradley, Diana Chirinos, Amanda Vivo

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 6/2016

Abstract

Diabetes is a chronic illness with significant health consequences, especially for those who are unable to adhere to the complex treatment regimen. Self-management tasks such as regular medication and insulin use, frequent blood sugar checks, strict diet management, and consistent exercise can be quite challenging. Mobile technologies, specifically mobile applications (apps), present a unique opportunity to help patients improve adherence to these behaviors. The availability of commercial diabetes self-management apps is increasing rapidly, making it difficult for patients and providers to stay informed about app options. A number of reviews have described commercial app technology and use for patients with diabetes. The aims of this article are to summarize the results and themes of those reviews, to review outcomes of apps described in the research literature, and to identify areas for further consideration in the use of mobile apps for diabetes self-management.

vorige artikel Getting less of what you want: reductions in statistical power and increased bias when categorizing medication adherence data

volgende artikel The MEssaging for Diabetes (MED) intervention improves short-term medication adherence among low-income adults with type 2 diabetes

Arnhold, M., Quade, M., & Kirch, W. (2014). Mobile applications for diabetics: A systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. Journal of Medical Internet Research,. doi:10.2196/jmir.2968 PubMedPubMedCentral

Årsand, E., Frøisland, D. H., Skrøvseth, S. O., Chomutare, T., Tatara, N., Hartvigsen, G., et al. (2012). Mobile health applications to assist patients with diabetes: Lessons learned and design implications. Journal of Diabetes Science and Technology, 6, 1197–1206. doi:10.1177/193229681200600525 CrossRefPubMedPubMedCentral

Årsand, E., Tatara, N., Østengen, G., & Hartvigsen, G. (2010). Mobile phone-based self-management tools for type 2 diabetes: The few touch application. Journal of Diabetes, 4, 328–336.

Asche, C., LaFleur, J., & Conner, C. (2011). A review of diabetes treatment adherence and the association with clinical and economic outcomes. Clinical Therapeutics, 33, 74–109. doi:10.1016/j.clinthera.2011.01.019 CrossRefPubMed

Azar, K. M., Lesser, L. I., Laing, B. Y., Stephens, J., Aurora, M. S., Burke, L. E., et al. (2013). Mobile applications for weight management: Theory-based content analysis. American Journal of Preventive Medicine, 45, 583–589.CrossRefPubMed

Bailey, C. J., & Kodack, M. (2011). Patient adherence to medication requirements for therapy of type 2 diabetes. The International Journal of Clinical Practice, 65, 314–322. doi:10.1111/j.1742-1241.2010.02544.x CrossRefPubMed

Breland, J. Y., Yeh, V. M., & Yu, J. (2013). Adherence to evidence-based guidelines among diabetes self-management apps. Translational Behavioral Medicine, 3, 277–286. doi:10.1007/s13142-013-0205-4 CrossRefPubMedPubMedCentral

Caburnay, C. A., Graff, K., Harris, J. K., McQueen, A., Smith, M., Fairchild, M., et al. (2015). Evaluating diabetes mobile applications for health literate designs and functionality, 2014. Preventing Chronic Disease, 12, 1–13. doi:10.5888/pcd12.140433 CrossRef

Cafazzo, J. A., Casselman, M., Hamming, N., Katzman, D. K., & Palmert, M. R. (2012). Design of an mHealth app for the self-management of adolescent type 1 diabetes: A pilot study. Journal of Medical Internet Research, 14, e70. doi:10.2196/jmir.2058 CrossRefPubMedPubMedCentral

Center for Disease Control (2014) National diabetes statistics report, 2014. Retrieved from http://www.cdc.gov/diabetes/pubs/statsreport14/national-diabetes-report-web.pdf

Chen, J., Cade, J. E., & Allman-Farinelli, M. (2015). The most popular smartphone apps for weight loss: A quality assessment. JMIR Mhealth Uhealth, 3, e104. doi:10.2196/mhealth.4334 CrossRefPubMedPubMedCentral

Chomutare, T., Fernandez-Luque, L., Årsand, E., & Hartvigsen, G. (2011). Features of mobile diabetes applications: Review of the literature and analysis of current applications compared against evidence-based guidelines. Journal of Medical Internet Research,. doi:10.2196/jmir.1874 PubMedPubMedCentral

Cochrane Collaboration (2014, April 28). Social media resources. Retrieved February 2, 2016, from http://community.cochrane.org/about-us/evidence-based-health-care/webliography/social-media

Cramer, J. A. (2004). A systematic review of adherence with medications for diabetes. Diabetes Care, 27, 1218–1224. doi:10.2337/diacare.27.5.1218 CrossRefPubMed

Demidowich, A. P., Lu, K., Tamler, R., & Bloomgarden, Z. (2012). An evaluation of diabetes self-management applications for Android smartphones. Journal of Telemedicine and Telecare, 18, 235–238. doi:10.1258/jtt.2012.111002 CrossRefPubMed

El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013). Mobile applications for diabetes self-management: Status and potential. Journal of Diabetes Science and Technology, 7, 247–262. doi:10.1177/193229681300700130 CrossRefPubMedPubMedCentral

Eng, D. S., & Lee, J. M. (2013). Mobile health applications for diabetes and endocrinology: Promise and peril? Pediatric Diabetes,. doi:10.1111/pedi.12034 PubMedPubMedCentral

FDA (2015). What is the difference between FDA-listed, 510(k) exempt, cleared and approved medical devices? http://www.fda.gov/AboutFDA/Transparency/Basics/ucm194468.htm. Retrieved 11 Jan 2015.

Forjuoh, S. N., Reis, M. D., Couchman, G. R., & Ory, M. G. (2008). Improving diabetes self-care with a PDA in ambulatory care. Telemedicine and E-Health, 14, 273–279. doi:10.1089/tmj.2007.0053 CrossRefPubMed

Gibson, O. J., Tarassenko, L., McSharry, P. E., Hayton, P. M., Farmer, A. J., & Neil, H. A. W. (2007). Clinical evaluation of a mobile phone telemedicine system for the self-management of type 1 diabetes. Proceedings of PGBiomed, Reading, UK, 2005, 3–4.

Giménez-Pérez, G., Recasens, A., Simó, O., Aguas, T., Suárez, A., Vila, M., et al. (2016). Use of communication technologies by people with type 1 diabetes in the social networking era. A chance for improvement. Primary Care Diabetes, 10, 121–128.CrossRefPubMed

GO-Gulf (2012, January 2). Smartphone users around the world—Statistics and facts infographic, [Web log post]. Retrieved from http://www.go-gulf.com/blog/smartphone/

Holmen, H., Torbjørnsen, A., Wahl, A. K., Jenum, A. K., Småstuen, M. C., Årsand, E., et al. (2014). A mobile health intervention for self-management and lifestyle change for persons with type 2 diabetes, part 2: One-year results from the Norwegian randomized controlled trial RENEWING HEALTH. Journal of Medical Internet Research mHealth and uHealth,. doi:10.2196/mhealth.3882

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, 106. doi:10.1186/s12916-015-0314-7 CrossRefPubMedPubMedCentral

Kim, H.-S., et al. (2014). Efficacy of the smartphone-based glucose management application stratified by user satisfaction. Diabetes and Metabolism Journal, 38(3), 204–210.CrossRefPubMedPubMedCentral

Klonoff, D. C. (2013). The current status of mHealth for diabetes: Will it be the next big thing? Journal of Diabetes Science and Technology, 7, 749–758. doi:10.1177/193229681300700321 CrossRefPubMedPubMedCentral

Knapp, S., Manroa, P., & Doshi, K. (2016). Self-monitoring of blood glucose: Advice for providers and patients. Cleveland Clinic Journal of Medicine, 83, 355–360. doi:10.3949/ccjm.83a.14147 PubMed

Kollmann, A., Riedl, M., Kastner, P., Schreier, G., & Ludvik, B. (2007). Feasibility of a mobile phone–based data service for functional insulin treatment of type 1 diabetes mellitus patients. Journal of Medical Internet Research,. doi:10.2196/jmir.9.5.e36 PubMedPubMedCentral

Kumar, V. S., Wentzell, K. J., Mikkelsen, T., Pentland, A., & Laffel, L. M. (2004). The DAILY (Daily Automated Intensive Log for Youth) Trial: A wireless, portable system to improve adherence and glycemic control in youth with diabetes. Diabetes Technology and Therapeutics, 6, 445–453. doi:10.1089/1520915041705893 CrossRefPubMed

Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., et al. (2014). The influence of social networking sites on health behavior change: A systematic review and meta-analysis. Journal of the American Medical Informatics Association, 22, 243–256. doi:10.1136/amiajnl-2014-002841 PubMedPubMedCentral

Lee, J. (2014). Hype or hope for diabetes mobile health applications? Diabetes Voice, 59, 43–46. Retrieved from http://www.idf.org/sites/default/files/attachments/DV59-3-EN.pdf#page=47

Martínez-Pérez, B., la de 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,. doi:10.2196/jmir.2600 PubMedPubMedCentral

Miltenberger, R. G. (2015). Behavior modification: Principles and procedures (6th ed.). Boston: Cengage Learning.

Morrissey, E. C., Corbett, T. K., Walsh, J. C., & Molloy, G. J. (2016). Behavior change techniques in apps for medication adherence: A content analysis. American Journal of Preventive Medicine, 50, e143–e146. doi:10.1016/j.amepre.2015.09.034 CrossRefPubMed

Nahum-Shani, S., Smith, S. N., Tewari, A., Witkiewitz, K., Collins, L. M., Spring, B., & Murphy, S. A. (2014). Just-in-time adaptive interventions (JITAIs): An organizing framework for ongoing health behavior support. Technical Report No. 14-126. University Park, PA: The Methodology Center, Penn State.

Padman, R., Jaladi, S., Kim, S., Kumar, S., Orbeta, P., Rudolph, K., & Tran, T. (2013). An evaluation framework and a pilot study of a mobile platform for diabetes self-management: insights from pediatric users. Studies in Health Technology and Informatics, 192, 333–337. Retrieved from http://europepmc.org/abstract/med/23920571

Payne, H. E., Moxley, V. B., & MacDonald, E. (2015). Health behavior theory in physical activity game apps: A content analysis. JMIR Serious Games, 3, e4. doi:10.2196/games.4187 CrossRefPubMedPubMedCentral

Quinn, C. C., Clough, S. S., Minor, J. M., Lender, D., Okafor, M. C., & Gruber-Baldini, A. (2008). WellDoc™ mobile diabetes management randomized controlled trial: Change in clinical and behavioral outcomes and patient and physician satisfaction. Diabetes Technology and Therapeutics, 10, 160–168. doi:10.1089/dia.2008.0283 CrossRefPubMed

Rao, A., Hou, P., Golnik, T., Flaherty, J., & Vu, S. (2010). Evolution of data management tools for managing self-monitoring of blood glucose results: A survey of iPhone applications. Journal of Diabetes Science and Technology, 4, 949–957.CrossRefPubMedPubMedCentral

Rho, M. J., Kim, H. S., Chung, K., & Choi, I. Y. (2014). Factors influencing the acceptance of telemedicine for diabetes management. Cluster Computing, 18, 321–331. doi:10.1007/s10586-014-0356-1 CrossRef

Rossi, M. C. E., Nicolucci, A., Bartolo, P. D., Bruttomesso, D., Girelli, A., Ampudia, F. J., et al. (2010). Diabetes interactive diary: A new telemedicine system enabling flexible diet and insulin therapy while improving quality of life an open-label, international, multicenter, randomized study. Diabetes Care, 33, 109–115. doi:10.2337/dc09-1327 CrossRefPubMed

Rossi, M. C. E., Nicolucci, A., Pellegrini, F., Bruttomesso, D., Bartolo, P. D., Marelli, G., et al. (2009). Interactive diary for diabetes: A useful and easy-to-use new telemedicine system to support the decision-making process in type 1 diabetes. Diabetes Technology & Therapeutics, 11, 19–24. doi:10.1089/dia.2008.0020 CrossRef

Sieverdes, J. C., Treiber, F., & Jenkins, C. (2013). Improving diabetes management with mobile health technology. The American Journal of the Medical Sciences, 345, 289–295. doi:10.1097/MAJ.0b013e3182896cee CrossRefPubMed

SmartBear Software (2015) What is mobile testing? Retrieved January 15, 2015 from https://smartbear.com/learn/software-testing/what-is-mobile-testing/

Tamony, P., Holt, R., & Barnard, K. (2015). The role of mobile applications in improving alcohol health literacy in young adults with type 1 diabetes: Help or hindrance? Journal of Diabetes Science and Technology, 9, 1313–1320. doi:10.1177/1932296815588559 CrossRefPubMedPubMedCentral

Torbjørnsen, A., Jenum, A. K., Småstuen, M. C., Årsand, E., Holmen, H., Wahl, A. K., et al. (2014). A low-intensity mobile health intervention with and without health counseling for persons with type 2 diabetes, part 1: Baseline and short-term results from a randomized controlled trial in the Norwegian part of RENEWING HEALTH. Journal of Medical Internet Research mHealth and uHealth, 2, e52. doi:10.2196/mhealth.3535 CrossRef

Vaala, S. E., Hood, K. K., Laffel, L., Kumah-Crystal, Y. A., Lybarger, C. K., & Mulvaney, S. A. (2015). Use of commonly available technologies for diabetes information and self-management among adolescents with type 1 diabetes and their parents: A web-based survey study. Interactive Journal of Medical Research, 4, e24.CrossRefPubMedPubMedCentral

Waki, K., Fujita, H., Uchimura, Y., Omae, K., Aramaki, E., Kato, S., et al. (2014). DialBetics: A novel smartphone-based self-management support system for type 2 diabetes patients. Journal of Diabetes Science and Technology, 8, 209–215. doi:10.1177/1932296814526495 CrossRefPubMedPubMedCentral

Williams, J. P., & Schroeder, D. (2015). Popular glucose tracking apps and use of mHealth by Latinos with diabetes: Review. JMIR mHealth and uHealth, 3, e84. doi:10.2196/mhealth.3986 CrossRefPubMedPubMedCentral

Winter, S. J., Sheats, J. L., & King, A. C. (2016). The use of behavior change techniques and theory in technologies for cardiovascular disease prevention and treatment in adults: A comprehensive review. Progress in Cardiovascular Diseases, 58, 605–612. doi:10.1016/j.pcad.2016.02.005 CrossRefPubMed

World Health Organization (2011). mHealth: New horizons for health through mobile technologies: Based on the findings of the second global survey on eHealth. Retrieved from http://www.who.int/goe/publications/goe_mhealth_web.pdf

Titel: What do we know about mobile applications for diabetes self-management? A review of reviews
Auteurs: Megan Hood
Rebecca Wilson
Joyce Corsica
Lauren Bradley
Diana Chirinos
Amanda Vivo
Publicatiedatum: 13-07-2016
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 6/2016
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-016-9765-3

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 6/2016

Treatment adherence and illness self-management: introduction to the special issue

Race-based medical mistrust, medication beliefs and HIV treatment adherence: test of a mediation model in people living with HIV/AIDS

The MEssaging for Diabetes (MED) intervention improves short-term medication adherence among low-income adults with type 2 diabetes

Managing severe obesity: understanding and improving treatment adherence in bariatric surgery

Adolescents’, mothers’, and fathers’ reports of adherence across adolescence and their relation to HbA1c and daily blood glucose

Development of a measure of self-efficacy for acute headache medication adherence