You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

The effect of telehealth systems and satisfaction with health expenditure among patients with metabolic syndrome

Abstract

Telehealth cost analysis has become a crucial issue for governments in recent years. In this study, we examined cases of metabolic syndrome in Hualien County, Taiwan. This research adopted the framework proposed by Marchand to establish a study process. In addition, descriptive statistics, a t test, analysis of variance, and regression analysis were employed to analyze 100 questionnaires. The results of the t$ test revealed significant differences in medical health expenditure, number of clinical visits for medical treatment, average amount of time spent commuting to clinics, amount of time spent undergoing medical treatment, and average number of people accompanying patients to medical care facilities or assisting with other tasks in the past one month, indicating that offering telehealth care services can reduce health expenditure. The statistical analysis results revealed that customer satisfaction has a positive effect on reducing health expenditure. Therefore, this study proves that telehealth care systems can effectively reduce health expenditure and directly improve customer satisfaction with medical treatment.

References

[1] 

Levy, S., , Jack, N., , Bradley, D., , Morison, M., , Swanston, M. Perspectives on telecare: The client view. J. Telemed. Telecare, (2003) , 156-160.

[2] 

Wang, J.Y., , Tsai, C.H., , & Wang, S.W. Using telecare system to construct medication safety mechanisms for remote area elderl. Journal of Chemical and Pharmaceutical Research, (2013) , 1-5.

[3] 

May, C., , Mair, F.S., , Finch, T., , MacFarlane, A., , Dowrick, C., , Treweek, S., , Rapley, T., , Ballini, L., , Ong, B.N., , Rogers, A., et al. Development of a theory of implementation and integration: Normalization process theory. Implement., (2009) , 4-29.

[4] 

Sanders, J.H., , & Bashshur, R.L. Challenges to the implementation of telemedicine. Telemedicine Journal, (1995) , 115-123.

[5] 

Thomas, C.L., , Man, M.S., , O'Cathain, A., , Hollinghurst, S., , Large, S., , Edwards, L., , Salisbury, C. Effectiveness and cost-effectiveness of a telehealth intervention to support the management of long-term conditions: Study protocol for two linked randomized controlled trials. Trials, (2014) , 15-36.

[6] 

Rosenberg, C.N., , Peele, P., , Keyser, D., , McAnallen, S., , & Holder, D. Results From A Patient-Centered Medical Home Pilot At UPMC Health Plan Hold Lessons For Broader Adoption Of The Model. Health Affairs, (2012) , 2423-2431.

[7] 

Cryer, L., , Shannon, S.B., , Amsterdam, M.V., , & Leff, B. Costs For `Hospital At Home' Patients Were 19 Percent Lower, With Equal Or Better Outcomes Compared To Similar Inpatients. Health Affairs, (2012) , 1237-1243.

[8] 

Baker, L.C., , Johnson, S.J., , Macaulay, D., , & Birnbaum, H. Integrated Telehealth and Care Management Program for Medicare Beneficiaries with Chronic Disease Linked To Savings. Health Affairs, (2011) , 1689-1697.