M Rakibul Hoque1, Yukun Bao1, Golam Sorwar2. 1. a Center for Modern Information Management, School of Management, Huazhong University of Science and Technology , Wuhan , P. R. China. 2. b School of Business and Tourism, Southern Cross University , Coffs Harbour , NSW , Australia.
Abstract
PURPOSE: The aim of the study was to investigate factors that influence the adoption and use of e-Health applications in Bangladesh from citizens' (patients') perspectives by extending the technology acceptance model (TAM) to include privacy and trust. METHODS: A structured questionnaire survey was used to collect data from more than 350 participants in various private and public hospitals in Dhaka, the capital city of Bangladesh. The data were analyzed using the partial least-squares (PLS) method, a statistical analysis technique based on structural equation modeling (SEM). RESULTS: The study determined that perceived ease of use and perceived usefulness and trust (p < 0.05) were significant factors influencing the intention to adopt e-Health. Privacy (p > 0.05) was identified as a less significant factor in the context of e-Health in Bangladesh. The findings also revealed that gender was strongly associated with the adoption and use of e-Health services. CONCLUSIONS: The findings of the present study contribute to the development of strategies and policies to enhance e-Health services in Bangladesh. Furthermore, as a result of the generic approach used in this study, the acceptance model developed can be easily modified to investigate the adoption of e-Health in other developing countries.
PURPOSE: The aim of the study was to investigate factors that influence the adoption and use of e-Health applications in Bangladesh from citizens' (patients') perspectives by extending the technology acceptance model (TAM) to include privacy and trust. METHODS: A structured questionnaire survey was used to collect data from more than 350 participants in various private and public hospitals in Dhaka, the capital city of Bangladesh. The data were analyzed using the partial least-squares (PLS) method, a statistical analysis technique based on structural equation modeling (SEM). RESULTS: The study determined that perceived ease of use and perceived usefulness and trust (p < 0.05) were significant factors influencing the intention to adopt e-Health. Privacy (p > 0.05) was identified as a less significant factor in the context of e-Health in Bangladesh. The findings also revealed that gender was strongly associated with the adoption and use of e-Health services. CONCLUSIONS: The findings of the present study contribute to the development of strategies and policies to enhance e-Health services in Bangladesh. Furthermore, as a result of the generic approach used in this study, the acceptance model developed can be easily modified to investigate the adoption of e-Health in other developing countries.
Entities:
Keywords:
Bangladesh; e-health; privacy; technology acceptance model (TAM)
Authors: Kevon-Mark P Jackman; Sarah Murray; Lisa Hightow-Weidman; Maria E Trent; Andrea L Wirtz; Stefan D Baral; Jacky M Jennings Journal: PLoS One Date: 2020-08-21 Impact factor: 3.240
Authors: Kathleen A Lynch; Thomas M Atkinson; Adeleye D Omisore; Olusola Famurewa; Olalekan Olasehinde; Oluwole Odujoko; Olusegun I Alatise; Adedeji Egberongbe; T Peter Kingham; Elizabeth A Morris; Elizabeth Sutton Journal: JMIR Form Res Date: 2022-04-20