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Telecare Services for Elderly: Predictive Factors of Continued Use Intention

BACKGROUND: Several countries have recently attempted to implement telecare information technology to provide health care to older adults. This study applied self-determination theory (autonomy, relatedness, and competence) and the theory of planned behavior (subjective norm, perceived behavioral co...

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Autores principales: Hsu, Yen-Chen, Tsai, Chung-Hung, Kuo, Yu-Ming, Ya-Hui, Bella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436331/
https://www.ncbi.nlm.nih.gov/pubmed/28523078
http://dx.doi.org/10.2174/1874120701610010082
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author Hsu, Yen-Chen
Tsai, Chung-Hung
Kuo, Yu-Ming
Ya-Hui, Bella
author_facet Hsu, Yen-Chen
Tsai, Chung-Hung
Kuo, Yu-Ming
Ya-Hui, Bella
author_sort Hsu, Yen-Chen
collection PubMed
description BACKGROUND: Several countries have recently attempted to implement telecare information technology to provide health care to older adults. This study applied self-determination theory (autonomy, relatedness, and competence) and the theory of planned behavior (subjective norm, perceived behavioral control, and attitudes toward using tools) to investigate a theoretical model for explaining the predictive factors influencing the intention of elderly patients to continue using telecare services. METHODS: Elderly patients in Taiwan (N = 160) who used telecare systems and fall-detection systems completed a questionnaire. Hierarchical multiple regression analysis was applied to test hypotheses. RESULTS: The results revealed that the main effects related to identification supported the notion that autonomy, relatedness, subjective norm, and attitudes toward using tools positively affect elderly patients’ intention to continue using telecare services. But, perceived competence and perceived behavioral control cannot be used as a predictor of intention to adopt telecare services. CONCLUSION: For an aging society, to provide appropriate ways to enhance elderly patients’ willingness to use telecare services is important. Our findings indicate that elderly patients’ perceived relatedness and subjective norm are both crucial predictors in intention to adopt telecare services. And it means that social influence may play a critical role in elderly patients’ intention to adopt telecare services; therefore, researchers can investigate social influence mechanisms in depth and examine them more closely in future research.
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spelling pubmed-54363312017-05-18 Telecare Services for Elderly: Predictive Factors of Continued Use Intention Hsu, Yen-Chen Tsai, Chung-Hung Kuo, Yu-Ming Ya-Hui, Bella Open Biomed Eng J Article BACKGROUND: Several countries have recently attempted to implement telecare information technology to provide health care to older adults. This study applied self-determination theory (autonomy, relatedness, and competence) and the theory of planned behavior (subjective norm, perceived behavioral control, and attitudes toward using tools) to investigate a theoretical model for explaining the predictive factors influencing the intention of elderly patients to continue using telecare services. METHODS: Elderly patients in Taiwan (N = 160) who used telecare systems and fall-detection systems completed a questionnaire. Hierarchical multiple regression analysis was applied to test hypotheses. RESULTS: The results revealed that the main effects related to identification supported the notion that autonomy, relatedness, subjective norm, and attitudes toward using tools positively affect elderly patients’ intention to continue using telecare services. But, perceived competence and perceived behavioral control cannot be used as a predictor of intention to adopt telecare services. CONCLUSION: For an aging society, to provide appropriate ways to enhance elderly patients’ willingness to use telecare services is important. Our findings indicate that elderly patients’ perceived relatedness and subjective norm are both crucial predictors in intention to adopt telecare services. And it means that social influence may play a critical role in elderly patients’ intention to adopt telecare services; therefore, researchers can investigate social influence mechanisms in depth and examine them more closely in future research. Bentham Open 2016-08-04 /pmc/articles/PMC5436331/ /pubmed/28523078 http://dx.doi.org/10.2174/1874120701610010082 Text en © Hsu et al.; Licensee Bentham Open. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Hsu, Yen-Chen
Tsai, Chung-Hung
Kuo, Yu-Ming
Ya-Hui, Bella
Telecare Services for Elderly: Predictive Factors of Continued Use Intention
title Telecare Services for Elderly: Predictive Factors of Continued Use Intention
title_full Telecare Services for Elderly: Predictive Factors of Continued Use Intention
title_fullStr Telecare Services for Elderly: Predictive Factors of Continued Use Intention
title_full_unstemmed Telecare Services for Elderly: Predictive Factors of Continued Use Intention
title_short Telecare Services for Elderly: Predictive Factors of Continued Use Intention
title_sort telecare services for elderly: predictive factors of continued use intention
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436331/
https://www.ncbi.nlm.nih.gov/pubmed/28523078
http://dx.doi.org/10.2174/1874120701610010082
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