An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: A pilot study examining usage and usability

Journal of the American Medical Informatics Association

Volumn 19, Issue 5, 2012, Pages 705-712

  Connelly, Kay ^a   Siek, Katie A ^b   Chaudry, Beenish ^a   Jones, Josette ^c   Astroth, Kim ^d   Welch, Janet L ^c  

^a INDIANA UNIVERSITY   (United States)

^b UCB 450   (United States)

^c INDIANA UNIVERSITY   (United States)

^d ILLINOIS STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BEHAVIOR CHANGE; CLINICAL ARTICLE; COMPUTER INTERFACE; DIETARY INTAKE; DIETARY INTAKE MOBILE APPLICATION; FEEDBACK SYSTEM; FEMALE; HEALTH LITERACY; HEMODIALYSIS; HUMAN; MALE; MEAL; MOBILE PHONE; MONITORING; NUTRITION; NUTRITIONAL ASSESSMENT; PILOT STUDY; QUESTIONNAIRE; SOCIAL COGNITIVE THEORY; TREATMENT DURATION; WEIGHT GAIN; ATTITUDE TO COMPUTERS; COMPUTER PROGRAM; DIET; MEDICAL RECORD; MICROCOMPUTER; MIDDLE AGED; MULTICENTER STUDY; PATIENT COMPLIANCE; PATIENT SATISFACTION; RENAL REPLACEMENT THERAPY; SELF CARE; UNITED STATES;

ATTITUDE TO COMPUTERS; COMPUTERS, HANDHELD; DIET; DIET RECORDS; FEMALE; HEALTH LITERACY; HEALTH RECORDS, PERSONAL; HUMANS; MALE; MIDDLE AGED; PATIENT COMPLIANCE; PATIENT SATISFACTION; PILOT PROJECTS; RENAL DIALYSIS; SELF CARE; SOFTWARE DESIGN; UNITED STATES; USER-COMPUTER INTERFACE;

EID: 84872231174     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000732     Document Type: Article

References (35)

1. Denhaerynck K, Manhaeve D, Dobbels F, et al. Prevalence and consequences of nonadherence to hemodialysis regimens. Am J Crit Care 2007;16:222e35.
2. Inrig JK, Patel UD, Gillespie BS, et al. Relationship between interdialytic weight gain and blood pressure among prevalent hemodialysis patients. Am J Kidney Dis 2007;50:108e18.
3. Gunal AI, Karaca I, Aygen B, et al. Strict volume control and left ventricular hypertrophy in hypertensive patients on chronic haemodialysis: a cross-sectional study. J Int Med Res 2004;32:70e7.
4. Christensen AJ, Smith TW, Turner CW, et al. Family support, physical impairment, and adherence in hemodialysis: An investigation of main and buffering effects. J Behav Med 1992;15:313e25.
5. Dogukan A, Guler M, Yavuzkir MF, et al. The effect of strict volume control on cognitive functions in chronic hemodialysis patients. Ren Fail 2009;31:641e6.
6. Martin KJ, Gonzalez EA. Prevention and control of phosphate retention/ hyperphosphatemia in CKD-MBD: what is normal, when to start, and how to treat? Clin J Am Soc Nephrol 2011;6:440e6.
7. Acchiardo SR, Moore LW, Burk L. Morbidity and mortality in hemodialysis patients. ASAIO Trans 1990;36:M148e51.
8. Port FK, Pisoni RL, Bragg-Gresham JL, et al. DOPPS estimates of patient life years attributable to modifiable hemodialysis practices in the United States. Blood Purif 2004;22:175e80.
9. Evans JD, Wagner CD, Welch JL. Cognitive status in hemodialysis as a function of fluid adherence. Ren Fail 2004;26:575e81.
10. Welch JL, Siek KA, Connelly KH, et al. Merging health literacy with computer technology: self-managing diet and fluid intake among adult hemodialysis patients. Patient Educ Couns 2010;79:192e8.
11. Cummings KM, Becker MH, Kirscht JP, et al. Psychosocial factors affecting adherence to medical regiments in a group of hemodialysis patients. Med Care 1982;20:567e80.
12. Brown J, Fitzpatrick R. Factors influencing compliance with dietary restrictions in dialysis patients. J Psychosom Res 1988;32:191e6.
13. Intille SS, Kukla C, Farzanfar R, et al. Just-in-time technology to encourage incremental, dietary behavior change. AMIA Annu Symp Proc 2003:874.
14. CalorieKing. http://www.calorieking.com
15. DietMatePro. http://www.dietmatepro.com
16. MyPyramidTracker. http://www.mypyramidtracker.gov
17. Tsai C, Lee G, Raab F, et al. Usability and feasibility of PmEB: a mobile phone application for monitoring real time caloric balance. Mobile Network Appl 2007;12:173e84.
18. DailyBurn. http://www.dailyburn.com/foodscanner
19. Mankoff J, Hsieh G, Hung HC, et al. Using low-cost sensing to support nutritional awareness. Proc. of 4th International Conf. on Ubiquitous Computing, Götebörg, Sweden. Springer, 2002:371e8.
20. QuickCalories. http://www.quickcalories.com
21. MyFoodPhone. http://www.mycanutrition.com
22. Frost J, Smith BK. Visualizing health: imagery in diabetes education. Proc Designing for User Experiences. 2003;:1e14.
23. Aarhus R, Ballegaard S, Hansen T. The eDiary: bridging home and hospital through healthcare technology. In: Wagner I, Tellioglu H, Balka E, et al, eds. ECSCW 2009. London: Springer, 2009:63e83.
24. Arsand E, Tufano JT, Ralston JD, et al. Designing mobile dietary management support technologies for people with diabetes. J Telemed Telecare 2008;14:329e32.
25. Smith BK, Frost J, Albayrak M, et al. Integrating glucometers and digital photography as experience capture tools to enhance patient understanding and communication of diabetes self-management practices. Personal and Ubiquitous Computing 2007;11:273e86.
26. Dowell SA, Welch JL. Use of electronic self-monitoring for food and fluid intake: a pilot study. Nephrol Nurs J 2006;33:271e7.
27. Sevick MA, Piraino B, Sereika S, et al. A preliminary study of PDA-based dietary self-monitoring in hemodialysis patients. J Ren Nutr 2005;15:304e11.
28. Bandura A. Social Foundations of Thought and Action: a Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall, 1986:617.
29. Chaudry BM, Connelly KH, Siek KA, et al. Mobile interface design for low-literacy populations. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI 912), New York, NY, USA: ACM, 2012:91e100. doi:10.1145/2110363.2110377
30. Siek KA, Connelly KH, Rogers Y. Pride and prejudice: learning how chronically ill people think about food. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Montreal, Quebec, Canada: ACM, 2006:947e50.
31. Siek KA, Connelly KH, Rogers Y, et al. When do we eat? An evaluation of food items input into an electronic food monitoring application. Proceedings of the International Conference Pervasive Computing Technology for Healthcare. Innsbruck, Austria: IEEE, 2006.
32. Siek KA, Connelly KH, Chaudry B, et al. Evaluation of two mobile nutrition tracking applications for chronically ill populations with low literacy skills. In: Tan J, Olla O, eds. Mobile Health Solutions for Biomedical Applications. Hershey, PA: IGI Global, 2009:1e23.
33. Kutner M, Greenberg E, Jin Y, et al. The Health Literacy of America's Adults: Results From the 2003 National Assessment of Adult Literacy (NCES 2006e483). Washington, DC: U.S.Department of Education: National Center for Education Statistics, 2006.
34. Murphy PW, Davis TC, Long SW, et al. Rapid estimate of adult literacy in medicine: a quick reading test for patients. J Read 1993;37:124e30.
35. Chaudry B, Connelly KH, Siek KA, et al. The design of a mobile portion size estimation interface for a low literacy population. 5th International Conference on Pervasive Computing Technologies for Healthcare. Dublin, Ireland: IEEE, 2011.