Factors associated with the acceptance of telemedicine services in Dusit model prototype area
Abstract The Dusit Model, a prototype area in Bangkok, Thailand, integrates telemedicine into primary and tertiary care to reduce overcrowding and promote equitable access. This study aimed to identify factors influencing telemedicine acceptance using an extended Technology Acceptance Model (TAM). A...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-11193-6 |
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| author | Nontawat Benjakul Utoomporn Wongsin Sukhontha Siri Chardsumon Prutipinyo |
| author_facet | Nontawat Benjakul Utoomporn Wongsin Sukhontha Siri Chardsumon Prutipinyo |
| author_sort | Nontawat Benjakul |
| collection | DOAJ |
| description | Abstract The Dusit Model, a prototype area in Bangkok, Thailand, integrates telemedicine into primary and tertiary care to reduce overcrowding and promote equitable access. This study aimed to identify factors influencing telemedicine acceptance using an extended Technology Acceptance Model (TAM). A cross-sectional study was conducted among 389 participants using Vajira@Home. Variables included demographics, the extended Technology Acceptance Model (TAM), and telemedicine acceptance. Descriptive statistics, chi-square tests, and multivariate binary logistic regression were employed. Telemedicine acceptance was significantly correlated with generation, perceived ease of use (adjusted OR = 3.95, p = 0.047), and facilitating conditions (adjusted OR = 5.78, p = 0.013). Compared to Generation Z, Baby Boomers and Generation X had lower odds of acceptance (OR = 0.01 and 0.22, respectively). Model fit was confirmed (AUC = 0.79; Hosmer-Lemeshow p > 0.05). Generation, usability perceptions, and infrastructure support critically influence telemedicine acceptance. Policy should prioritize digital literacy for older adults, improve user experience, and invest in infrastructure to enhance equitable adoption. |
| format | Article |
| id | doaj-art-aaf6b50cc41b48dda1b218cd9546dc2f |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-aaf6b50cc41b48dda1b218cd9546dc2f2025-08-20T03:45:52ZengNature PortfolioScientific Reports2045-23222025-07-0115111010.1038/s41598-025-11193-6Factors associated with the acceptance of telemedicine services in Dusit model prototype areaNontawat Benjakul0Utoomporn Wongsin1Sukhontha Siri2Chardsumon Prutipinyo3M.Sc. (Public Health Administration), Faculty of Public Health, Mahidol UniversityDepartment of Public Health Administration, Faculty of Public Health, Mahidol UniversityDepartment of Epidemiology, Faculty of Public Health, Mahidol UniversityDepartment of Public Health Administration, Faculty of Public Health, Mahidol UniversityAbstract The Dusit Model, a prototype area in Bangkok, Thailand, integrates telemedicine into primary and tertiary care to reduce overcrowding and promote equitable access. This study aimed to identify factors influencing telemedicine acceptance using an extended Technology Acceptance Model (TAM). A cross-sectional study was conducted among 389 participants using Vajira@Home. Variables included demographics, the extended Technology Acceptance Model (TAM), and telemedicine acceptance. Descriptive statistics, chi-square tests, and multivariate binary logistic regression were employed. Telemedicine acceptance was significantly correlated with generation, perceived ease of use (adjusted OR = 3.95, p = 0.047), and facilitating conditions (adjusted OR = 5.78, p = 0.013). Compared to Generation Z, Baby Boomers and Generation X had lower odds of acceptance (OR = 0.01 and 0.22, respectively). Model fit was confirmed (AUC = 0.79; Hosmer-Lemeshow p > 0.05). Generation, usability perceptions, and infrastructure support critically influence telemedicine acceptance. Policy should prioritize digital literacy for older adults, improve user experience, and invest in infrastructure to enhance equitable adoption.https://doi.org/10.1038/s41598-025-11193-6TelemedicineTechnology acceptance modelDusit model prototype area |
| spellingShingle | Nontawat Benjakul Utoomporn Wongsin Sukhontha Siri Chardsumon Prutipinyo Factors associated with the acceptance of telemedicine services in Dusit model prototype area Scientific Reports Telemedicine Technology acceptance model Dusit model prototype area |
| title | Factors associated with the acceptance of telemedicine services in Dusit model prototype area |
| title_full | Factors associated with the acceptance of telemedicine services in Dusit model prototype area |
| title_fullStr | Factors associated with the acceptance of telemedicine services in Dusit model prototype area |
| title_full_unstemmed | Factors associated with the acceptance of telemedicine services in Dusit model prototype area |
| title_short | Factors associated with the acceptance of telemedicine services in Dusit model prototype area |
| title_sort | factors associated with the acceptance of telemedicine services in dusit model prototype area |
| topic | Telemedicine Technology acceptance model Dusit model prototype area |
| url | https://doi.org/10.1038/s41598-025-11193-6 |
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