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Titulo Artículo:
Factors influencing the acceptance of telemedicine in the Philippines
Resumen:
The utilization of telemedicine has shown to increase access to healthcare services and bridge gaps in existing healthcare system issues. Despite these benefits, the technology is not currently widely accepted nor utilized in the Philippines, notwithstanding its worldwide recognition as a reliable alternative to face-to-face consultations. Issues regarding the slow utilization among Filipinos of telemedicine significantly affect its implementation. This study aimed to measure significant factors affecting the Philippines’ behavioral adaptability of telemedicine application among Filipino users, through the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. A total of 533 Filipinos voluntarily answered a self-administered questionnaire for 11 variables. Struc- tural equation modeling and deep learning neural network approach showed that usage behavior (UB) was the key factor in determining user intention to use telemedicine, subsequently leading to perceived user adoption. In addition, performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use was found to have a significant effect on UB. This study is the first study on Filipinos’ behavioral perception and acceptance of telemedicine. The findings of this study would be beneficial to researchers and the gov- ernment—specifically the health sector in the Philippines for the implementation and promotion of telemedicine. The findings of this study could be adopted in technology acceptance in healthcare services among developing countries
Fecha de publicación:
2022.
Autores :
Yoshiki B. Kurata;
Sophia Alessandra D.G. Castro;
Sophia Alessandra D.G. Castro;
Hazel V. Dela Rosa;
Alex Patricia J. Tomines;
Ardvin Kester S. Ong;
Autor corporativo:
Technology in Society,
Editores:
ScienceDirect ;
Idioma:
Inglés
Páginas:
1
ISBN:
1879-3274
Existencias:
14
Palabras claves:
Telemedicine
UTAUT2
Healthcare systems
Structural equation modeling
Deep learning neural network
Público objetivo:
Docentes
Investigadores
Educadores Medicos
Titulo Artículo:
Factors influencing the acceptance of telemedicine in the Philippines
Resumen:
The utilization of telemedicine has shown to increase access to healthcare services and bridge gaps in existing healthcare system issues. Despite these benefits, the technology is not currently widely accepted nor utilized in the Philippines, notwithstanding its worldwide recognition as a reliable alternative to face-to-face consultations. Issues regarding the slow utilization among Filipinos of telemedicine significantly affect its implementation. This study aimed to measure significant factors affecting the Philippines’ behavioral adaptability of telemedicine application among Filipino users, through the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. A total of 533 Filipinos voluntarily answered a self-administered questionnaire for 11 variables. Struc- tural equation modeling and deep learning neural network approach showed that usage behavior (UB) was the key factor in determining user intention to use telemedicine, subsequently leading to perceived user adoption. In addition, performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use was found to have a significant effect on UB. This study is the first study on Filipinos’ behavioral perception and acceptance of telemedicine. The findings of this study would be beneficial to researchers and the gov- ernment—specifically the health sector in the Philippines for the implementation and promotion of telemedicine. The findings of this study could be adopted in technology acceptance in healthcare services among developing countries
Fecha de publicación:
2022.
Autores :
Yoshiki B. Kurata;
Sophia Alessandra D.G. Castro;
Sophia Alessandra D.G. Castro;
Hazel V. Dela Rosa;
Alex Patricia J. Tomines;
Ardvin Kester S. Ong;
Autor corporativo:
Technology in Society,
Editores:
ScienceDirect ;
Idioma:
Inglés
Páginas:
1
Existencias:
14
Palabras claves:
Telemedicine
UTAUT2
Healthcare systems
Structural equation modeling
Deep learning neural network
Público objetivo:
Docentes
Investigadores
Educadores Medicos
Titulo Artículo:
Factors influencing the acceptance of telemedicine in the Philippines
Resumen:
The utilization of telemedicine has shown to increase access to healthcare services and bridge gaps in existing healthcare system issues. Despite these benefits, the technology is not currently widely accepted nor utilized in the Philippines, notwithstanding its worldwide recognition as a reliable alternative to face-to-face consultations. Issues regarding the slow utilization among Filipinos of telemedicine significantly affect its implementation. This study aimed to measure significant factors affecting the Philippines’ behavioral adaptability of telemedicine application among Filipino users, through the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. A total of 533 Filipinos voluntarily answered a self-administered questionnaire for 11 variables. Struc- tural equation modeling and deep learning neural network approach showed that usage behavior (UB) was the key factor in determining user intention to use telemedicine, subsequently leading to perceived user adoption. In addition, performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use was found to have a significant effect on UB. This study is the first study on Filipinos’ behavioral perception and acceptance of telemedicine. The findings of this study would be beneficial to researchers and the gov- ernment—specifically the health sector in the Philippines for the implementation and promotion of telemedicine. The findings of this study could be adopted in technology acceptance in healthcare services among developing countries
Autores:
Yoshiki B. Kurata
,
Sophia Alessandra D.G. Castro
,
Sophia Alessandra D.G. Castro
,
Hazel V. Dela Rosa
,
Alex Patricia J. Tomines
,
Ardvin Kester S. Ong
,
.
Titulo Revista:
Technology in Society,
.
Numero:
Volumen:
70
Fecha de publicación:
2022.
Base de Datos Bibliográfica:
ScienceDirect ,
.
Suplemento:
Idioma:
Inglés
Página Inicial:
1
Página Final:
14
ISBN:
1879-3274
Palabras claves:
Telemedicine
UTAUT2
Healthcare systems
Structural equation modeling
Deep learning neural network
Público objetivo:
Docentes
Investigadores
Educadores Medicos
Título ScienceDirect :
Factors influencing the acceptance of telemedicine in the Philippines
Resumen:
The utilization of telemedicine has shown to increase access to healthcare services and bridge gaps in existing healthcare system issues. Despite these benefits, the technology is not currently widely accepted nor utilized in the Philippines, notwithstanding its worldwide recognition as a reliable alternative to face-to-face consultations. Issues regarding the slow utilization among Filipinos of telemedicine significantly affect its implementation. This study aimed to measure significant factors affecting the Philippines’ behavioral adaptability of telemedicine application among Filipino users, through the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. A total of 533 Filipinos voluntarily answered a self-administered questionnaire for 11 variables. Struc- tural equation modeling and deep learning neural network approach showed that usage behavior (UB) was the key factor in determining user intention to use telemedicine, subsequently leading to perceived user adoption. In addition, performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use was found to have a significant effect on UB. This study is the first study on Filipinos’ behavioral perception and acceptance of telemedicine. The findings of this study would be beneficial to researchers and the gov- ernment—specifically the health sector in the Philippines for the implementation and promotion of telemedicine. The findings of this study could be adopted in technology acceptance in healthcare services among developing countries
Autores :
Yoshiki B. Kurata;
Sophia Alessandra D.G. Castro;
Sophia Alessandra D.G. Castro;
Hazel V. Dela Rosa;
Alex Patricia J. Tomines;
Ardvin Kester S. Ong;
Autor corporativo:
Technology in Society,
Fecha de publicación:
2022.
Tipo :
ScienceDirect .
Idioma:
Inglés
Palabras claves:
Telemedicine
UTAUT2
Healthcare systems
Structural equation modeling
Deep learning neural network
Público objetivo:
Docentes
Investigadores
Educadores Medicos
Título ScienceDirect :
Factors influencing the acceptance of telemedicine in the Philippines
Resumen:
The utilization of telemedicine has shown to increase access to healthcare services and bridge gaps in existing healthcare system issues. Despite these benefits, the technology is not currently widely accepted nor utilized in the Philippines, notwithstanding its worldwide recognition as a reliable alternative to face-to-face consultations. Issues regarding the slow utilization among Filipinos of telemedicine significantly affect its implementation. This study aimed to measure significant factors affecting the Philippines’ behavioral adaptability of telemedicine application among Filipino users, through the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. A total of 533 Filipinos voluntarily answered a self-administered questionnaire for 11 variables. Struc- tural equation modeling and deep learning neural network approach showed that usage behavior (UB) was the key factor in determining user intention to use telemedicine, subsequently leading to perceived user adoption. In addition, performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use was found to have a significant effect on UB. This study is the first study on Filipinos’ behavioral perception and acceptance of telemedicine. The findings of this study would be beneficial to researchers and the gov- ernment—specifically the health sector in the Philippines for the implementation and promotion of telemedicine. The findings of this study could be adopted in technology acceptance in healthcare services among developing countries
Autores :
Yoshiki B. Kurata;
Sophia Alessandra D.G. Castro;
Sophia Alessandra D.G. Castro;
Hazel V. Dela Rosa;
Alex Patricia J. Tomines;
Ardvin Kester S. Ong;
Autor corporativo:
Technology in Society,
Fecha de publicación:
2022.
Paginas:
1.
ISBN:
1879-3274.
Idioma:
Inglés
Palabras claves:
Telemedicine
UTAUT2
Healthcare systems
Structural equation modeling
Deep learning neural network
Público objetivo:
Docentes
Investigadores
Educadores Medicos
Titulo Artículo:
Factors influencing the acceptance of telemedicine in the Philippines
Resumen:
The utilization of telemedicine has shown to increase access to healthcare services and bridge gaps in existing healthcare system issues. Despite these benefits, the technology is not currently widely accepted nor utilized in the Philippines, notwithstanding its worldwide recognition as a reliable alternative to face-to-face consultations. Issues regarding the slow utilization among Filipinos of telemedicine significantly affect its implementation. This study aimed to measure significant factors affecting the Philippines’ behavioral adaptability of telemedicine application among Filipino users, through the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. A total of 533 Filipinos voluntarily answered a self-administered questionnaire for 11 variables. Struc- tural equation modeling and deep learning neural network approach showed that usage behavior (UB) was the key factor in determining user intention to use telemedicine, subsequently leading to perceived user adoption. In addition, performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use was found to have a significant effect on UB. This study is the first study on Filipinos’ behavioral perception and acceptance of telemedicine. The findings of this study would be beneficial to researchers and the gov- ernment—specifically the health sector in the Philippines for the implementation and promotion of telemedicine. The findings of this study could be adopted in technology acceptance in healthcare services among developing countries
Fecha de publicación:
2022.
Autor corporativo:
Technology in Society,
.
Idioma:
Inglés
Palabras claves:
Telemedicine
UTAUT2
Healthcare systems
Structural equation modeling
Deep learning neural network
Público objetivo:
Docentes
Investigadores
Educadores Medicos
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Yoshiki B. Kurata Sophia Alessandra D.G. Castro Sophia Alessandra D.G. Castro Hazel V. Dela Rosa Alex Patricia J. Tomines Ardvin Kester S. Ong Yoshiki B. Kurata Sophia Alessandra D.G. Castro Sophia Alessandra D.G. Castro Hazel V. Dela Rosa Alex Patricia J. Tomines Ardvin Kester S. Ong Factors influencing the acceptance of telemedicine in the Philippines. 2022; 70Ed. 1.
