Predictive Factors of Telemonitoring Acceptance among Chronically-ill Patients in Public Healthcare

• 발행기관: 한국무역연구원
• 저자명: Yun-Hi Chang Mi-Jung Rho Jae-Beom Lee
• 간행물 정보: 『무역연구』제12권 제4호, 177~193쪽, 전체 17쪽
• 주제분류: 경제경영 > 무역학
• 파일형태: PDF
• 발행일자: 2016.08.30

영문 초록

Numerous telemonitoring projects in many countries have been carried out in the public healthcare sector. This research aimed to identify factors predicting practical telemonitoring acceptance and validate a telemonitoring acceptance model for chronically-ill patients in public healthcare. This study developed an Integrated Telemonitoring Acceptance (ITA) model, based on the unified theory of acceptance and use of technology, innovation diffusion theory, and perceived risk theory, to identify predictive factors of telemonitoring acceptance. Data were collected using a survey administered to 116 chronically-ill patients who have experienced telemonitoring. We used Partial Least Squares (PLS) regression to test the hypothetical model. We identified six predictive factors of telemonitoring acceptance and found that social influence conditions strongly affect telemonitoring acceptance. Amidst the global phenomenon of an aging population, the study proves valuable in providing insight into the potential implication of telemonitoring self-care service for chronically-ill patients thus playing a major role in the future of public healthcare.

키워드

Chronically-ill Patients Public Healthcare Self-care Service Telemonitoring Service Unified Theory of Acceptance