Title |
Adherence to evidence-based guidelines among diabetes self-management apps
|
---|---|
Published in |
Translational Behavioral Medicine, May 2013
|
DOI | 10.1007/s13142-013-0205-4 |
Pubmed ID | |
Authors |
Jessica Y. Breland, Vivian M. Yeh, Jessica Yu |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 67% |
United Kingdom | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | <1% |
Germany | 1 | <1% |
Malaysia | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
United States | 1 | <1% |
Unknown | 195 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 45 | 22% |
Student > Ph. D. Student | 35 | 17% |
Student > Bachelor | 20 | 10% |
Researcher | 17 | 8% |
Professor > Associate Professor | 14 | 7% |
Other | 48 | 24% |
Unknown | 22 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 47 | 23% |
Computer Science | 27 | 13% |
Nursing and Health Professions | 25 | 12% |
Psychology | 21 | 10% |
Social Sciences | 20 | 10% |
Other | 26 | 13% |
Unknown | 35 | 17% |