Multimedia Tools and Applications

, Volume 76, Issue 17, pp 17751–17763 | Cite as

Development healthcare PC and multimedia software for improvement of health status and exercise habits

Article
  • 134 Downloads

Abstract

The objectives of this study were to evaluate the effectiveness of home healthcare products and multimedia software, and suggest ways to stimulate their use by analyzing the effect of a consistent awareness of one’s health status on the change in one’s exercise habits and health-improvement activities. To examine the difference in the level of interest in health and the amount of exercise between a group of individuals that consistently utilized a personalized health management program using a Home healthcare PC with a workstation and a group of individuals who did not, a 16-week study was conducted on 143 male and female adults residing in the Gyeonggnam region. Pedometers were provided to measure the amount of exercise, and a survey was conducted to examine the changes in the awareness of health-improvement activities. The group of individuals who regularly checked and managed their health status showed a statistically significant increase in the number of steps they took, compared to the group who did not. In addition, a group that utilized the Home healthcare PC showed an increase in the behavior of seeking health counseling and exchanging information about health. This implies that the use of the Home healthcare PC draws users’ attention to their health status and increases the motivation to exercise. The use of a Home healthcare PC not only acts as a red flag for the health of the users but also provides a bio-feedback effect. Therefore this system will play an effective role in prevention and post-incidence management of metabolic syndromes by motivating the users to systemically and independently manage their health at home, and to exercise or carry out health-improvement activities.

Keywords

Perceived health status Exercise habits Health-improvement activities Home healthcare PC Multimedia 

References

  1. 1.
    Allison MA (2007) Service-oriented Architecture and Web Services. California Regional Health Information OrganizationGoogle Scholar
  2. 2.
    Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi T, Azizi F (2005) Beneficial effect of dietary approaches to stop hypertension eating plan on features of the metabolic syndrome. Diabetes Care 28:2823–2831CrossRefGoogle Scholar
  3. 3.
    Baek MR (2012) Research on recognition for medical quality improvement and Outcomes of U-healthcare: focusing on employees in major hospitals. Master’s thesis in Kyunghee UniversityGoogle Scholar
  4. 4.
    Bondmass M, Bolger N, Castro G, Avitall B (2000) The effect of home monitoring and telemanagement on blood pressure control among African Americans. Telemed J 6(1):15–23CrossRefGoogle Scholar
  5. 5.
    Cho JH, Kwon HS, Yoon GH (2006) Perspectives of “Ubiquitous Health Care System” for diabetes management. J Korean Diabetes Assoc 30(2):87–95CrossRefGoogle Scholar
  6. 6.
    Choi GD, Kim YH, Kwon GW, Kim MC (2011) A study on the acceptance factors in ubiquitous chronic patient service using TAM. Korean Manag Rev 26(2):449–463Google Scholar
  7. 7.
    Cleeman JI (2001) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults: Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 285:2486–2497CrossRefGoogle Scholar
  8. 8.
    Conus F, Allison DB, Rebasa-Jhoret R, St-Onge M, St-Pierre DH, Trmblay-Lebeau A, Poehlman ET (2004) Mebaolic and behavirol characteristics of metabolically obese but normal-weight women. J Clin Endocrinol Metab 89:5013–5020CrossRefGoogle Scholar
  9. 9.
    Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology a comparison of two theoretical models. Manag Sci 35(8):982–1003CrossRefGoogle Scholar
  10. 10.
  11. 11.
    Ford ES, Giles WH, Dietz WH (2002) Prevalence of metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Syrvy. Am J Med 287(3):356–359Google Scholar
  12. 12.
    Fumiyuki et al (2006) Development of secure data management server for e-health promotion system. Int J Sport Health Sci 4:617–627CrossRefGoogle Scholar
  13. 13.
    Giugliano D, Ceriello A, Esposito K (2006) The effects of diet on inflammation: emphasis on the metabolic syndrome. J Am Coll Cardiol 48:677–685CrossRefGoogle Scholar
  14. 14.
    Godsland IF, Leyva F, Walton C, Worthington M, Stevenson JC (1998) Associations of smoking, alcholo and physical activity with risk factors for coronary heart disease and diabetes in the first floow-up cohort of the Heart Disease and Diabetes Risk Indicators in a Screend Cohort Study. J Int Med 244:33–41CrossRefGoogle Scholar
  15. 15.
    Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA (2005) Diagonosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation 12:2735–2752CrossRefGoogle Scholar
  16. 16.
    Hanwoo_love (2010) Tip! health mobile app. http://blog.naver.com/hanwoo_love?Redirect=Log&logNo=20117566059
  17. 17.
    Hersh W, Helfand M, Wallace J, Kraemer D, Patterson P, Shapiro S, Greenlick M (2002) A systematic review of the efficacy of telemedicine for making diagnostic and management decisions. J Telemed Telecare 8(4):197–209CrossRefGoogle Scholar
  18. 18.
    HIRA(Health Insurance Review & Assessment Service) (2012) HIRA Trend of PolicyGoogle Scholar
  19. 19.
    Hu G, Jousilahti P, Borodulin K, Barengo NC, Lakka TA, Nissinen A et al (2007) Occupational, commuting, leisure-time physical activity in relation to coronary heart disease among middle-aged finnish men and women. Atherosclerosis 194:490–497CrossRefGoogle Scholar
  20. 20.
    Hwang SJ, Han YS, Kim SW, Kim JO (2011) Streaming RFID: robust stream transmission over passive RFID. ETRI J 33(3):382–392CrossRefGoogle Scholar
  21. 21.
    Jeong KT (2010) U-health industrial trend and tasks ahead. Korean ForumGoogle Scholar
  22. 22.
    Jerant AF, Azari R, Nesbitt TS (2001) Reducing the cost of frequent hospital admissions for congestive heart failure: a randomized trial of a home telecare intervention. Med Care 39(11):1234–1245CrossRefGoogle Scholar
  23. 23.
    Johnston B, Weeler L, Deuser J, Sousa KH (2000) Outcomes of the Kaiser Permanente tele-home health research project. Arch Fam Med 9(1):40CrossRefGoogle Scholar
  24. 24.
    Jung ML, Berthon P (2009) Fulfilling the promise: a model for delivering successful online health care. J Med Mark 9(3):243–254CrossRefGoogle Scholar
  25. 25.
    Kang SW, Lee HW, Ko YS, Kim JY (2007) U-health era. CEO Inf 602:1–20Google Scholar
  26. 26.
    Kim DG, Song IK (2009) Needs of U-healthcare service. Korean Soc Internet Inf 10(3):9–17Google Scholar
  27. 27.
    Kim YH, Yang YO (2005) Effects of walking exercise on metabolic syndrome risk factors and body composition in obese middle school girls. J Korean Acad Nurs 35:858–867CrossRefGoogle Scholar
  28. 28.
    Kinsella A, Warner I (1998) Telehealth and managing congestive heart failure. Caring: Natl Assoc Home Care Mag 17(6):14Google Scholar
  29. 29.
    Kummervold PE (2006) Patientphysician interaction over the Interneta controlled trial. edNet, (2006). Society for the Internet in Medicine, TorontoGoogle Scholar
  30. 30.
    Kwak HM, Park SH (2005) An Integrated System for Body Shape Analysis and Physical Fitness Test- HIMS. Proc. Of IEEE 27th EMBS Annual International Conference, Shanghai, ChinaGoogle Scholar
  31. 31.
    Kwak HM, Park SH, Yoon YR (2006) An Integrated Physical Fitness Testing System for Personalized Exercise Prescription. In: Proc. Of World Congress on Medical Physics and Biomedical Engineering, Seoul, South Korea: 4207–4207Google Scholar
  32. 32.
    Lee CW, Jang SH (2010) u-Healthcare service adaptation in long-term care hospitals: focused on TAM. J Korean Oper Res Manag Sci Soc 24(4):305–332Google Scholar
  33. 33.
    Lee CW, Jang SH (2012) A study of usage intention on the u-Healthcare service with voluntariness. J Korean Oper Res Manag Sci Soc 37(4):225–238Google Scholar
  34. 34.
    Lee HS, Kwon CS (2010) Prevalence of metabolic syndrome and related risk factors of elderly residents in Andong rural area. Korean Soc Food Sci Nutr 39:511–517CrossRefGoogle Scholar
  35. 35.
    Lee SY (2005) Economy analysis of telemedicine. Health-welfare Policy Forum : 25–34Google Scholar
  36. 36.
    Lee WJ, Kim HJ (2008) Evaluation of u-healthcare demonstration project in sungnam. J Korea Socf IT Serv 7(2):113–125Google Scholar
  37. 37.
    Lin SS, Hung MH, Tsai CL, Chou LP (2012) Development of an ease-of-use remote healthcare system architecture using RFID and networking technologies. J Med Syst 36(6):3605–3619CrossRefGoogle Scholar
  38. 38.
    Ministry of Health & Welfare (2011) Prevention and management system of chronicGoogle Scholar
  39. 39.
    National Institute of Health (2001) Executive summary of the third report of the National Cholesterol Education Program (NCEP): expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel, ATP III). J Am Med Assoc 285:2486–2497CrossRefGoogle Scholar
  40. 40.
    Park JS (2012) U-Health policy status and future directions. Science and Technology Policy InstituteGoogle Scholar
  41. 41.
    Park N, Song Y (2010) Wireless algorithms, systems, and applications. Lect Notes Comput Sci 6221:245–252CrossRefGoogle Scholar
  42. 42.
    Redzone (2013) SoftBank HealthCare, http://qingshan.tistory.com/29
  43. 43.
    Roglieri JL, Futterman R, McDonough KL, Malya G, Karwath KR, Bowman D, Warburton SW Jr (1997) Disease management interventions to improve outcomes in congestive heart failure. Am J Manag Care 3(12):1831–1839Google Scholar
  44. 44.
    Roine R, Ohinmaa A, Hailey D (2001) Assessing telemedicine: a systematic review of the literature. Can Med Assoc J 165(6):765–771Google Scholar
  45. 45.
    Samsung (2013) S-health Buddy. http://news1.kr/articles/1286012
  46. 46.
    Shin SA (2012) The Introduction of project: Management of metabolic syndrome, Korean metabolic syndrome forum, National Health Insurance serviceGoogle Scholar
  47. 47.
    Steel S, Lock S, Johnson N, Martinez Y, Marquilles E, Bayford R (2002) A feasibility study of remote monitoring of asthmatic patients. J Telemed Telecare 8(5):290–296CrossRefGoogle Scholar
  48. 48.
    Tsang M, Mok M, Kam G, Jung M, Tang A, Chan U (2001) Improvement in diabetes control with a monitoring system based on a hand-held, touch-screen electronic diary. J Telemed Telecare 7(1):47–50CrossRefGoogle Scholar
  49. 49.
    Wade VA, Karnon J, Elshaug AG, Hiller JE (2010) A systematic review of economic analyses of telehealth services using real time video communication. BMC Health Serv Res 10(1):233CrossRefGoogle Scholar
  50. 50.
    Wang Z et al (2005) An internet-based cycle ergometer health promotion system for providing personally fitted exercise. IEICE Trans Inf Syst E88-D(8):1985–1992CrossRefGoogle Scholar
  51. 51.
    Whitten P, Kingsley C, Grigsby J (2000) Results of a meta-analysis of cost-benefits research: is this a question worth asking? J Telemed Telecare 6(1):4–6CrossRefGoogle Scholar
  52. 52.
    Woo KS (2010) A study on promotional strategies of u-health through the recognition survey in Korea: Based on u-healthcare. Master’s thesis in Hansung University 2012.Yang JM, Yeo JH. Chip impedance evaluation method for UHF RFID transponder ICs over absorbed input power. ETRI J 32(6): 969–971Google Scholar
  53. 53.
    Yim S et al (2005) Increasing trends of metabolic syndrome in korea -based on korean national health and nutrition examination surveys, korean diabetes journal. Diabetes 29(5):432–439Google Scholar
  54. 54.
    Yoo JS, Jeong JI, Park CG, Kang SW, Ahn JA (2009) Impact of life style characteristics on prevalence risk of metabolic syndrome. J Korean Acad Nurs 39:594–601CrossRefGoogle Scholar
  55. 55.
    Youm S, Park SH (2015) How the awareness of u-healthcare service and health conditions affect healthy lifestyle: an empirical analysis based on a u-healthcare service experience. Telemed e-Health 21(4):286–295CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Industry-Academic Cooperation FoundationDongguk UniversitySeoulKorea
  2. 2.College of Computer ScienceInner Mongolia UniversityHothotChina

Personalised recommendations