DOI QR코드

DOI QR Code

The development of a mobile u-Health program and evaluation for self-diet management for diabetic patients

  • Ahn, Yun (Department of Food Science and Nutrition, Seoul Women's University) ;
  • Bae, Jeahurn (Nutrition Team, Soonchunhyang University Hospital) ;
  • Kim, Hee-Seon (Department of Food Science and Nutrition, Soonchunhyang University)
  • Received : 2013.12.10
  • Accepted : 2016.01.19
  • Published : 2016.06.01

Abstract

BACKGROUND/OBJECTIVES: This study aims to develop a mobile nutritional management program for integration into the already developed web-based program, Diabetes Mellitus Dietary Management Guide (DMDMG) for diabetic patients. Further, we aim to evaluate the amended DMDMG program. SUBJECTS/METHODS: The mobile application based on an Android operating system includes three parts: 1) record of diet intake, which allows users to take pictures of the meal and save to later add diet records into DMDMG; 2) an alarm system that rings at each meal time, which reminds users to input the data; 3) displays the diet record and the results of nutrient intake, which can be also viewed through the web program. All three parts are linked to the web-based program. A survey was conducted to evaluate the program in terms of nutrition knowledge, dietary attitude, eating behavior and diet intake by non-equivalent control group design among diabetic patients with 14 DMDMG users and 12 non-user controls after a one-month trial of DMDMG. RESULTS: Non-users did not use the program, but participated in the weekly off-line nutrition classes for one month. The program users showed increased healthful dietary behavior (P < 0.01) and dietary attitude scores (P < 0.05). More DMDMG users had higher nutrition knowledge scores after one-month trial than non-users. However, dietary intake significantly increased in non-user group for calcium and sodium (P < 0.05) while the user group did not show significant changes. CONCLUSIONS: The program has created positive changes in patients' dietary life. All the users were satisfied with the program, although some expressed minor difficulties with an unfamiliar mobile app.

Keywords

References

  1. Sung YA. Prevention of type 2 diabetes. J Korean Med Assoc 2000;43:1103-9. https://doi.org/10.5124/jkma.2000.43.11.1103
  2. Statistics Korea. Annual Report on the Cause of Death Statistics. Daejeon: Statistics Korea; 2011.
  3. Stevens MJ, Feldman EL, Greene DA. The etiology of diabetic neuropathy. The combined roles of metabolic and vascular defects. Diabet Med 1995;12:566-79. https://doi.org/10.1111/j.1464-5491.1995.tb00544.x
  4. Medalie JH, Papier CM, Goldbourt U, Herman JB. Major factors in the development of diabetes mellitus in 10,000 men. Arch Intern Med 1975;135:811-7. https://doi.org/10.1001/archinte.1975.00330060055007
  5. Par YS, Lee HK, Kim SY, Koh CS, Min HK, Lee CG, Ahn MY, Kim YI, Shin TS. Risk factors for non-insulin dependent diabetes mellitus. J Korean Diabetes Assoc 1996;20:14-24.
  6. Franz MJ, Horton ES Sr, Bantle JP, Beebe CA, Brunzell JD, Coulston AM, Henry RR, Hoogwerf BJ, Stacpoole PW. Nutrition principles for the management of diabetes and related complications. Diabetes Care 1994;17:490-518. https://doi.org/10.2337/diacare.17.5.490
  7. Nuttall FQ. Diet and the diabetic patient. Diabetes Care 1983;6:197-207. https://doi.org/10.2337/diacare.6.2.197
  8. The Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 1993;329:977-86. https://doi.org/10.1056/NEJM199309303291401
  9. Kreuter M, Farrell D, Olevitch L, Brennan L. Tailoring Health Messages: Customizing Communication with Computer Technology. Mahwah (NJ): Lawrence Erlbaum Associates Inc.; 2000.
  10. Witte K. Fishing for success: using the persuasive health message framework to generate effective campaign messages. In: Maibach E, Parrott RL, editors. Designing Health Messages: Approaches from Communication Theory and Public Health Practice. Thousand Oaks (CA): Sage Publications, Inc.; 1995. p.145-66.
  11. Skinner CS, Siegfried JC, Kegler MC, Strecher VJ. The potential of computers in patient education. Patient Educ Couns 1993;22:27-34. https://doi.org/10.1016/0738-3991(93)90086-C
  12. Rollo ME, Ash S, Lyons-Wall P, Russell A. Trial of a mobile phone method for recording dietary intake in adults with type 2 diabetes: evaluation and implications for future applications. J Telemed Telecare 2011;17:318-23. https://doi.org/10.1258/jtt.2011.100906
  13. Park SY, Han JS. Effects of web-based nutrition counseling on nutrient intake and blood glucose in type II diabetic patients. J Korean Soc Food Sci Nutr 2005;34:1398-406. https://doi.org/10.3746/jkfn.2005.34.9.1398
  14. Kim HS. Effects of Web-based diabetic education in obese diabetic patients. J Korean Acad Nurs 2005;35:924-30. https://doi.org/10.4040/jkan.2005.35.5.924
  15. Park SY, Han JS. Effects of web-based nutrition counseling on dietary behavior and food intake of type II diabetic patients. J Korean Soc Food Sci Nutr 2006;35:430-9. https://doi.org/10.3746/jkfn.2006.35.4.430
  16. Oh JA, Kim HS, Park MJ, Shim HS. Effects of Web-based health education on blood glucose and blood pressure improvement in postmenopausal women with impaired fasting blood glucose. J Korean Acad Nurs 2011;41:724-31. https://doi.org/10.4040/jkan.2011.41.5.724
  17. Diem KG, Hino J, Martin D, Meisenbach T. Is extension ready to adopt technology for delivering programs and reaching new audiences? J Extension 2011;49:6FEA1.
  18. Sorensen C, Yoo Y, Lytinen K, Degross JI. Designing ubiquitous information environments: Socio-technical Issues and Challenges. New York (NY): Springer; 2005.
  19. Brug J, van Assema P. Differences in use and impact of computer-tailored dietary fat-feedback according to stage of change and education. Appetite 2000;34:285-93. https://doi.org/10.1006/appe.2000.0322
  20. Brug J, Campbell M, van Assema P. The application and impact of computer-generated personalized nutrition education: a review of the literature. Patient Educ Couns 1999;36:145-56. https://doi.org/10.1016/S0738-3991(98)00131-1
  21. Ahn Y, Bae J, Kim HS. Development of web-based u-Health self-nutrition management program for diabetic patients. Korean J Community Nutr 2014;19:372-85. https://doi.org/10.5720/kjcn.2014.19.4.372
  22. Ahn Y, Bae J, Youn JE, Kim HS. Needs assessment for web-based self-management program by the nutrition knowledge levels of diabetic patients. Korean J Community Nutr 2011;16:155-68. https://doi.org/10.5720/kjcn.2011.16.1.155
  23. Choe SJ, Park HR, Park DY, Ahn HS. A study on the sociopsychological factors influencing the dietary compliance of diabetics by using focus group interview. Korean J Community Nutr 2000;5:23-35.
  24. Kang HJ, Shin EM, Kim KW. Evaluation of nutrition education for diabetes mellitus management of older adults. Korean J Community Nutr 2009;14:734-45.
  25. Lim HS, Chyun JH, Kim YS, Nam MS. Effect of nutrition education on diabetic management in diabetic patients. Korean J Nutr 2001;34:69-78.
  26. Park DY, Choe SJ, Park HR, Ahn HS. A study on the sociopsychological factors influencing the dietary compliance of diabetics using questionnaire. Korean J Community Nutr 2000;5:36-49.
  27. Miller RL, Shinn M. Learning from communities: overcoming difficulties in dissemination of prevention and promotion efforts. Am J Community Psychol 2005;35:169-83. https://doi.org/10.1007/s10464-005-3395-1
  28. Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA 2002;288:2469-75. https://doi.org/10.1001/jama.288.19.2469
  29. Glasgow RE, La Chance PA, Toobert DJ, Brown J, Hampson SE, Riddle MC. Long-term effects and costs of brief behavioural dietary intervention for patients with diabetes delivered from the medical office. Patient Educ Couns 1997;32:175-84. https://doi.org/10.1016/S0738-3991(97)00039-6
  30. Gillett M, Dallosso HM, Dixon S, Brennan A, Carey ME, Campbell MJ, Heller S, Khunti K, Skinner TC, Davies MJ. Delivering the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cost effectiveness analysis. BMJ 2010;341:c4093 https://doi.org/10.1136/bmj.c4093
  31. Steed L, Lankester J, Barnard M, Earle K, Hurel S, Newman S. Evaluation of the UCL diabetes self-management programme (UCL-DSMP): a randomized controlled trial. J Health Psychol 2005;10:261-76. https://doi.org/10.1177/1359105305049775
  32. Chodosh J, Morton SC, Mojica W, Maglione M, Suttorp MJ, Hilton L, Rhodes S, Shekelle P. Meta-analysis: chronic disease self-management programs for older adults. Ann Intern Med 2005;143:427-38. https://doi.org/10.7326/0003-4819-143-6-200509200-00007
  33. Lee Y, Lee M. Design of healthcare service system for diabetes patients using RFID. Proc Korean Inf Sci Soc Conf 2006;33:43-7.
  34. Collins LM, Baker TB, Mermelstein RJ, Piper ME, Jorenby DE, Smith SS, Christiansen BA, Schlam TR, Cook JW, Fiore MC. The multiphase optimization strategy for engineering effective tobacco use interventions. Ann Behav Med 2011;41:208-26. https://doi.org/10.1007/s12160-010-9253-x
  35. Beasley JM, Riley WT, Davis A, Singh J. Evaluation of a PDA-based dietary assessment and intervention program: a randomized controlled trial. J Am Coll Nutr 2008;27:280-6. https://doi.org/10.1080/07315724.2008.10719701
  36. Demiris G. Privacy and social implications of distinct sensing approaches to implementing smart homes for older adults. Conf Proc IEEE Eng Med Biol Soc 2009;2009:4311-4.
  37. Daugherty BL, Schap TE, Ettienne-Gittens R, Zhu FM, Bosch M, Delp EJ, Ebert DS, Kerr DA, Boushey CJ. Novel technologies for assessing dietary intake: evaluating the usability of a mobile telephone food record among adults and adolescents. J Med Internet Res 2012;14:e58. https://doi.org/10.2196/jmir.1967
  38. Lieffers JR, Hanning RM. Dietary assessment and self-monitoring with nutrition applications for mobile devices. Can J Diet Pract Res 2012;73:e253-60. https://doi.org/10.3148/73.3.2012.e253
  39. Rumpler WV, Kramer M, Rhodes DG, Moshfegh AJ, Paul DR. Identifying sources of reporting error using measured food intake. Eur J Clin Nutr 2008;62:544-52. https://doi.org/10.1038/sj.ejcn.1602742
  40. Poslusna K, Ruprich J, de Vries JH, Jakubikova M, van't Veer P. Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr 2009;101 Suppl 2:S73-85. https://doi.org/10.1017/S0007114509990602
  41. Beasley J, Riley WT, Jean-Mary J. Accuracy of a PDA-based dietary assessment program. Nutrition 2005;21:672-7. https://doi.org/10.1016/j.nut.2004.11.006

Cited by

  1. Personalized Health, eLearning, and mHealth Interventions to Improve Nutritional Status vol.5, pp.4, 2016, https://doi.org/10.1007/s13668-016-0184-4
  2. Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review vol.24, pp.3, 2018, https://doi.org/10.4258/hir.2018.24.3.187
  3. Application of Mobile Health Technologies Aimed at Salt Reduction: Systematic Review vol.7, pp.4, 2016, https://doi.org/10.2196/13250
  4. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis vol.20, pp.10, 2016, https://doi.org/10.1111/obr.12903
  5. Thailand medical mobile application for patients triage base on criteria based dispatch protocol vol.20, pp.1, 2016, https://doi.org/10.1186/s12911-020-1075-6
  6. Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis vol.23, pp.5, 2016, https://doi.org/10.2196/15649