Literature DB >> 23375377

Innovative health care delivery system--a questionnaire survey to evaluate the influence of behavioral factors on individuals' acceptance of telecare.

Jui-Chen Huang1.   

Abstract

The purpose of this research is to explore people's intention to use telecare and evaluate the degree of influence that behavioral factors on individuals' acceptance of telecare. The subjects are residents of Taiwan. The Structural Equation Modeling (SEM) technique was used to analyze the forecasting model applied to telecare. The results show that this model has good explanatory power for the behavioral intentions of using telecare. Among factors influencing the behavioral intentions of using telecare, the strongest factor is attitude, followed by the perceived usefulness, the perceived ease of use, subjective norms, and personal innovativeness, respectively. The findings of this study may serve as a reference to future studies.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23375377     DOI: 10.1016/j.compbiomed.2012.12.011

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  11 in total

1.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

2.  Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments.

Authors:  Hamed Nadri; Bahlol Rahimi; Hadi Lotfnezhad Afshar; Mahnaz Samadbeik; Ali Garavand
Journal:  Appl Clin Inform       Date:  2018-04-04       Impact factor: 2.342

Review 3.  Administering a Telemedicine Program.

Authors:  Luisa Taylor; Heidi Capling; Jay M Portnoy
Journal:  Curr Allergy Asthma Rep       Date:  2018-09-15       Impact factor: 4.806

4.  Telecare Services for Elderly: Predictive Factors of Continued Use Intention.

Authors:  Yen-Chen Hsu; Chung-Hung Tsai; Yu-Ming Kuo; Bella Ya-Hui
Journal:  Open Biomed Eng J       Date:  2016-08-04

5.  Telehealth Before and During the COVID-19 Pandemic: Analysis of Health Care Workers' Opinions.

Authors:  Pascal Nitiema
Journal:  J Med Internet Res       Date:  2022-02-25       Impact factor: 7.076

6.  Orthopaedic provider perceptions of virtual care : which providers prefer virtual care?

Authors:  Nikhil R Yedulla; Zachary A Montgomery; Dylan S Koolmees; Eric B Battista; Charles S Day
Journal:  Bone Jt Open       Date:  2021-06

7.  Model construction for the intention to use telecare in patients with chronic diseases.

Authors:  Jui-Chen Huang; Yii-Ching Lee
Journal:  Int J Telemed Appl       Date:  2013-03-05

8.  Integrating social capital theory, social cognitive theory, and the technology acceptance model to explore a behavioral model of telehealth systems.

Authors:  Chung-Hung Tsai
Journal:  Int J Environ Res Public Health       Date:  2014-05-07       Impact factor: 3.390

9.  Acceptability of internet-based interventions for depression in Indonesia.

Authors:  Retha Arjadi; Maaike H Nauta; Claudi L H Bockting
Journal:  Internet Interv       Date:  2018-05-02

Review 10.  A Review of Patient and Provider Satisfaction with Telemedicine.

Authors:  Mary Nguyen; Morgan Waller; Aarti Pandya; Jay Portnoy
Journal:  Curr Allergy Asthma Rep       Date:  2020-09-22       Impact factor: 4.806

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