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Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia
The COVID-19 pandemic has accelerated implementation of telemedicine in healthcare facilities for delivery of care. Healthcare providers' acceptance of the telemedicine services is important for successful implementation of this new system. A questionnaire based on the Technology Acceptance Mod...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020140/ https://www.ncbi.nlm.nih.gov/pubmed/35463970 http://dx.doi.org/10.1155/2022/9123887 |
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author | Husin, Masliyana Rahman, Norazida Ab Bujang, Mohamad Adam Ng, Sock Wen Juval, Kawselyah Hwong, Wen Yea Sivasampu, Sheamini |
author_facet | Husin, Masliyana Rahman, Norazida Ab Bujang, Mohamad Adam Ng, Sock Wen Juval, Kawselyah Hwong, Wen Yea Sivasampu, Sheamini |
author_sort | Husin, Masliyana |
collection | PubMed |
description | The COVID-19 pandemic has accelerated implementation of telemedicine in healthcare facilities for delivery of care. Healthcare providers' acceptance of the telemedicine services is important for successful implementation of this new system. A questionnaire based on the Technology Acceptance Model (TAM) has been used to measure user acceptance of telemedicine service. The aim of this study was to translate and validate the English version of the questionnaire into Malay, to extend the availability and utilization of this questionnaire in Malaysia. A forward and backward translation of the questionnaire was conducted to produce the TAM in the Malay version (Malay-TAM). Panel experts assessed content validity. Internal consistency reliability was determined using Cronbach's alpha. Confirmatory factor analysis based on structural equation modelling was performed to validate the factor structure. The questionnaire was then tested on and completed by 149 healthcare workers from several public health clinics across Malaysia. The Malay-TAM demonstrated good reliability with Cronbach's alphas ranging from 0.823 to 0.912. Factor analysis showed good convergent validity but relatively poor discriminant validity. All five constructs were retained to preserve content validity. The findings suggest that the Malay-TAM can serve as a reliable and valid instrument to measure acceptance to telemedicine. |
format | Online Article Text |
id | pubmed-9020140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90201402022-04-21 Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia Husin, Masliyana Rahman, Norazida Ab Bujang, Mohamad Adam Ng, Sock Wen Juval, Kawselyah Hwong, Wen Yea Sivasampu, Sheamini Biomed Res Int Research Article The COVID-19 pandemic has accelerated implementation of telemedicine in healthcare facilities for delivery of care. Healthcare providers' acceptance of the telemedicine services is important for successful implementation of this new system. A questionnaire based on the Technology Acceptance Model (TAM) has been used to measure user acceptance of telemedicine service. The aim of this study was to translate and validate the English version of the questionnaire into Malay, to extend the availability and utilization of this questionnaire in Malaysia. A forward and backward translation of the questionnaire was conducted to produce the TAM in the Malay version (Malay-TAM). Panel experts assessed content validity. Internal consistency reliability was determined using Cronbach's alpha. Confirmatory factor analysis based on structural equation modelling was performed to validate the factor structure. The questionnaire was then tested on and completed by 149 healthcare workers from several public health clinics across Malaysia. The Malay-TAM demonstrated good reliability with Cronbach's alphas ranging from 0.823 to 0.912. Factor analysis showed good convergent validity but relatively poor discriminant validity. All five constructs were retained to preserve content validity. The findings suggest that the Malay-TAM can serve as a reliable and valid instrument to measure acceptance to telemedicine. Hindawi 2022-04-20 /pmc/articles/PMC9020140/ /pubmed/35463970 http://dx.doi.org/10.1155/2022/9123887 Text en Copyright © 2022 Masliyana Husin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Husin, Masliyana Rahman, Norazida Ab Bujang, Mohamad Adam Ng, Sock Wen Juval, Kawselyah Hwong, Wen Yea Sivasampu, Sheamini Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia |
title | Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia |
title_full | Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia |
title_fullStr | Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia |
title_full_unstemmed | Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia |
title_short | Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia |
title_sort | translation and validation of the questionnaire on acceptance to telemedicine from the technology acceptance model (tam) for use in malaysia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020140/ https://www.ncbi.nlm.nih.gov/pubmed/35463970 http://dx.doi.org/10.1155/2022/9123887 |
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