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Translational Behavioral Medicine

Erschienen in:

01.09.2013 | Original Research

Adherence to evidence-based guidelines among diabetes self-management apps

verfasst von: Jessica Y. Breland, MS, Vivian M. Yeh, MS, Jessica Yu, BA

Erschienen in: Translational Behavioral Medicine | Ausgabe 3/2013

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Abstract

Smartphone apps can provide real-time, interactive self-management aid to individuals with diabetes. It is currently unclear whether existing diabetes self-management apps follow evidence-based guidelines. The purpose of this study was to evaluate the extent to which existing diabetes self-management apps address the seven self-management behaviors recommended by the American Association of Diabetes Educators (the AADE7™). The term “diabetes” identified relevant self-management apps via the Apple App Store search engine in March 2012. Ratings were based on app descriptions and downloads. Chi-square analyses assessed differences in apps based on developer type. Apps promoted a median of two AADE7™ skills. Overall reliability between description and download ratings was good (kappa = .66). Reliability of individual skills was variable (kappa = .25 to .91). Most diabetes apps do not conform to evidence-based recommendations, and future app reviews would benefit from testing app performance. Future apps may also benefit from theory-based designs.

Centers for Disease Control and Prevention. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. 2011.

Association AD. Economic costs of diabetes in the U.S. in 2007. Diabetes Care.2008;31(3):596-615.CrossRef

Hernández-Ronquillo L, Téllez-Zenteno JF, Garduño-Espinosa J, et al. Factors associated with therapy noncompliance in type-2 diabetes patients. Salud Publica Mex.2003;45(3):191-197.PubMedCrossRef

Kirk A, Mutrie N, MacIntyre P, et al. Increasing physical activity in people with type 2 diabetes. Diabetes Care.2003;26(4):1186-1192.PubMedCrossRef

Rubin RR. Adherence to pharmacologic therapy in patients with type 2 diabetes mellitus. Am J Med.2005;118(Suppl 5A):27S-34S.PubMedCrossRef

Ho PM, Rumsfeld JS, Masoudi FA, et al. Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus. Arch Intern Med.2006;166(17):1836-1841.PubMedCrossRef

Lim S, Kang SM, Shin H, et al. Improved glycemic control without hypoglycemia in elderly diabetic patients using the ubiquitous healthcare service, a new medical information system. Diabetes Care.2011;34(2):308-313.PubMedCrossRef

As smartphone prices fall, retailers are leaving money on the table, according to The NPD Group. Available at: http://www.npdgroup.com/wps/portal/npd/us/news/pressreleases/pr_111114a. Accessed 29 July 2012.

Pew Internet and American Life Project. The social life of health information and the Internet. Available at: http://www.chcf.org/publications/2012/07/social-life-health-information. Accessed 29 July 2012

10.

Purcell K. Half of adult cell phone owners have apps on their phones.Pew Research Center’s Internet and American Life Project; 2011. Available at: http://pewinternet.org/Reports/2011/Apps-update.aspx. Accessed 29 July 2012

11.

Breton E, Fuemmeler B, Abroms L. Weight loss—there is an app for that! But does it adhere to evidence-informed practices? Transl Behav Med.2011;1(4):523-529.CrossRef

12.

Chomutare T, Fernandez-Luque L, Årsand E, et al. Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J Med Internet Res. 2011;13(3):e65.PubMedCrossRef

13.

American Association of Diabetes Educators. AADE7, Self-Care Behaviors. Available at: http://www.diabeteseducator.org/ProfessionalResources/AADE7/. Accessed on 29 July 2012

14.

Franko OI, Tirrell TF. Smartphone app use among medical providers in ACGME training programs. J Med Syst. 2012;36(5):3135-3139.PubMedCrossRef

15.

Cicchetti D. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess.1994;6(4):284-290.CrossRef

16.

Leventhal H, Bodnar-Deren S, Breland JY, et al. Modeling health and illness behavior: the approach of the commonsense model. In: Baum AS, Revenson TA, Singer J, eds. The Handbook of Health Psychology.Secondth ed. New York: Erlbaum; 2011:3-35.

17.

Clar C, Barnard K, Cummins E, et al. Aberdeen Health Technology Assessment G. Self-monitoring of blood glucose in type 2 diabetes: systematic review. Health Technol Assess.2010;14(12):1-140.

18.

Malanda UL, Welschen LM, Riphagen II, Dekker JM, Nijpels G, Bot SD. Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin. In: Cochrane Database of Systematic Reviews. Wiley;2012.Available at: http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005060.pub3/abstract. Accessed 3 June 2012

19.

D’Zurilla TJ, Nezu AM. Problem-solving Therapy. 3rd ed. New York: Springer; 2007.

20.

Hill-Briggs F, Lazo M, Peyrot M, et al. Effect of problem-solving-based diabetes self-management training on diabetes control in a low income patient sample. J Gen Intern Med.2011;26(9):972-978.PubMedCrossRef

21.

Dimeff L, Paves AP, Skutch JM, et al. Shifting paradigms in clinical psychology: How innovative technologies are shaping treatment delivery. In: Barlow DH, ed. The Oxford Handbook of Clinical Psychology.New York: Oxford University Press; 2001:618-648.

22.

Morris ME, Kathawala Q, Leen TK, et al. Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. J Med Internet Res.2010;12(2):e10.PubMedCrossRef

23.

Abroms LC, Padmanabhan N, Thaweethai L, et al. iPhone apps for smoking cessation. Am J Prev Med.2011;40(3):279-285.PubMedCrossRef

24.

Leventhal H, Leventhal EA, Breland JY. Cognitive science speaks to the “Common-Sense” of chronic illness management. Ann Behav Med.2011;41(2):1-12.CrossRef

25.

Halm EA, Mora P, Leventhal H. No symptoms, no asthma: the acute episodic disease belief is associated with poor self-management among inner-city adults with persistent asthma. Chest.2006;129(3):573-580.PubMedCrossRef

26.

Baumann LJ, Cameron LD, Zimmerman RS, et al. Illness representations and matching labels with symptoms. Health Psychol.1989;8(4):449-469.PubMedCrossRef

27.

Anderson J, Rainie L. The Future of Gamification.Pew Research Center’s Internet & American Life Project; 2012. Available at: http://www.pewinternet.org/topics/Future-of-the-internet.aspx. Accessed July 29, 2012.

28.

McAndrew L, Schneider SH, Burns E, et al. Does Patient Blood Glucose Monitoring Improve Diabetes Control? Diabetes Educator.2007;33(6):991-1010.PubMedCrossRef

29.

Cafazzo JA, Casselman M, Hamming N, et al. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study. J Med Internet Res.2012;14(3):e70.PubMedCrossRef

30.

Cox A. Mobile Healthcare Opportunities: Smartphone Apps, Monitoring, and mHealth Strategies 2011–2016.Hampshire: Juniper Research; 2011.

Titel: Adherence to evidence-based guidelines among diabetes self-management apps
verfasst von: Jessica Y. Breland, MS
Vivian M. Yeh, MS
Jessica Yu, BA
Publikationsdatum: 01.09.2013
Verlag: Springer US
Erschienen in: Translational Behavioral Medicine / Ausgabe 3/2013
Print ISSN: 1869-6716
Elektronische ISSN: 1613-9860
DOI: https://doi.org/10.1007/s13142-013-0205-4

Springer Medizin

Abstract

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