Evaluating diabetes mobile applications for health literate designs and functionality, 2014

Preventing Chronic Disease

Volumn 12, Issue 5, 2015, Pages

  Caburnay, Charlene A ^a   Graff, Kaitlin ^a   Harris, Jenine K ^a   McQueen, Amy ^a   Smith, Madeleine ^a   Fairchild, Maggie ^a   Kreuter, Matthew W ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; CHILD; CLASSIFICATION; CODING; COMPARATIVE STUDY; COMPUTER INTERFACE; COMPUTER LANGUAGE; DIABETES MELLITUS; DISEASE MANAGEMENT; ECONOMICS; EVALUATION STUDY; FEMALE; HEALTH LITERACY; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MOBILE APPLICATION; NON INSULIN DEPENDENT DIABETES MELLITUS; ORGANIZATION; PRESCHOOL CHILD; PROCEDURES; SATISFACTION; SOFTWARE DESIGN; TELEMEDICINE; TEXT MESSAGING; UNITED STATES; UTILIZATION;

ADOLESCENT; CHILD; CHILD, PRESCHOOL; CLINICAL CODING; DIABETES MELLITUS; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; DISEASE MANAGEMENT; FEMALE; HEALTH LITERACY; HUMANS; MOBILE APPLICATIONS; NATIONAL ACADEMIES OF SCIENCE, ENGINEERING, AND MEDICINE (U.S.) HEALTH AND MEDICINE DIVISION; PERSONAL SATISFACTION; PROGRAMMING LANGUAGES; SOFTWARE DESIGN; TELEMEDICINE; TEXT MESSAGING; UNITED STATES; USER-COMPUTER INTERFACE;

EID: 84931473352     PISSN: 15451151     EISSN: 21665435     Source Type: Journal    
DOI: 10.5888/pcd12.140433     Document Type: Article

References (25)

1. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research:a decade of evolution. J Med Internet Res 2013;15(5):e95.
2. Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med 2013;10(1):e1001363.
3. Zickuhr K. Pew Research Internet Project: tablet ownership 2013. http://www.pewinternet.org/2013/06/10/tabletownership-2013/. Accessed September 10, 2014.
4. Smith A. Pew Research Internet Project: smartphone ownership 2013. http://www.pewinternet.org/2013/06/05/ smartphone-ownership-2013/ Accessed September 10, 2014.
5. Duggan M. Pew Research Internet Project: cell phone activities 2013. http://www.pewinternet.org/2013/09/19/cell-phoneactivities-2013/. Accessed September 10, 2014.
6. Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res 2014; 16(4):e104.
7. Eng DS, Lee JM. The promise and peril of mobile health applications for diabetes and endocrinology. Pediatr Diabetes 2013;14(4):231-8.
8. Demidowich AP, Lu K, Tamler R, Bloomgarden Z. An evaluation of diabetes self-management applications for Android smartphones. J Telemed Telecare 2012;18(4):235-8.
9. El-Gayar O, Timsina P, Nawar N, Eid W. A systematic review of IT for diabetes self-management: are we there yet?. Int J Med Inform 2013; 82(8):637-52.
10. Holtz B, Lauckner C. Diabetes management via mobile phones: a systematic review. Telemed J E Health 2012; 18(3):175-84.
11. Institute of Medicine. Health literacy: a prescription to end confusion. Washington (DC): Institute of Medicine, 2004.
12. Davis TC, Arnold C, Berkel HJ, Nandy I, Jackson RH, Glass J. Knowledge and attitude on screening mammography among low-literate, low-income women. Cancer 1996;78(9):1912-20.
13. Lindau ST, Tomori C, Lyons T, Langseth L, Bennett CL, Garcia P. The association of health literacy with cervical cancer prevention knowledge and health behaviors in a multiethnic cohort of women. Am J Obstet Gynecol 2002; 186(5):938-43.
14. Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, et al. Association of health literacy with diabetes outcomes. JAMA 2002;288(4):475-82.
15. Sarkar U, Karter AJ, Liu JY, Adler NE, Nguyen R, Lopez A, et al. The literacy divide: health literacy and the use of an internet-based patient portal in an integrated health system - results from the diabetes study of northern California (DISTANCE). J Health Commun 2010;15( Suppl 2):183-96.
16. Mayberry LS, Kripalani S, Rothman RL, Osborn CY. Bridging the digital divide in diabetes: family support and implications for health literacy. Diabetes TechnolTher 2011; 13(10):1005-12.
17. Cho J, Park D, Lee HE. Cognitive factors of using health apps:systematic analysis of relationships among health consciousness, health information orientation, eHealth literacy, and health app use efficacy. J Med Internet Res 2014; 16(5):e125.
18. Chaudry B, Connelly K, Siek K, Welch J. Mobile interface design for low-literacy populations. Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium; 2012 Jan 28-30; Miami, Florida.
19. Medhi I, Patnaik S, Brunskill E, Gautama SN, Thies W, Toyama K. Designing mobile interfaces for novice and lowliteracy users. ACM Trans Comput Hum Interact 2011;18(1):2.
20. Broderick J, Devine T, Langhans E, Lemerise A, Lier S, Harris L. Designing health literate mobile apps: discussion paper. Washington (DC): Institute of Medicine; 2014. http://www.iom.edu/Global/Perspectives/2014/HealthLiterateApps.aspx.
21. Office of Disease Prevention and Public Health Promotion. Health literacy online: a guide to writing and designing easyto- use health web sites. Washington (DC): US Department of Health and Human Services, 2010.
22. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33(1):159-74.
23. About health literacy. Rockville (MD): Health Resources and Services Administration. http://www.hrsa.gov/publichealth/healthliteracy/healthlitabout.html. Accessed September 17, 2014.
24. Kaphingst KA, Kreuter MW, Casey C, Leme L, Thompson T, Cheng MR, et al. Health Literacy INDEX: development, reliability, and validity of a new tool for evaluating the health literacy demands of health information materials. J Health Commun 2012;17(Suppl 3):203-21.
25. Lefebvre RC, Tada Y, Hilfiker SW, Baur C The assessment of user engagement with eHealth content: the eHealth Engagement Scale 1. J Comput Mediat Commun 2010; 15(4):666-81.