Boumediene Ramdani1, Binheng Duan2, Ilhem Berrou3. 1. Centre for Entrepreneurship, College of Business & Economics, Qatar University, P.O.Box 2713, Doha, QA. 2. Creative Assembly, Spire Court, Albion Way, Horsham, GB. 3. Faculty of Health and Applied Sciences, University of the West of England, Bristol, GB.
Abstract
BACKGROUND: Although mobile health (mHealth) has the potential to transform health care by delivering better outcomes at a much lower cost than traditional health care services, little is known about mHealth adoption by hospitals. OBJECTIVE: This study aimed to explore the determinants of mHealth adoption by hospitals using the technology-organization-environment (TOE) framework. METHODS: We conducted an interviewer-administered survey with 87 managers in Chinese public hospitals and analyzed the data using logistic regression. RESULTS: The results of our survey indicate that perceived ease of use (β=.692; P<.002), system security (β=.473; P<.05), top management support (β=1.466; P<.002), hospital size (β=1.069; P<.004), and external pressure (β=.703; P<.005) are significantly related to hospitals' adoption of mHealth. However, information technology infrastructure (β=.574; P<.02), system reliability (β=-1.291; P<.01), and government policy (β=2.010; P<.04) are significant but negatively related to hospitals' adoption of mHealth. CONCLUSIONS: We found that TOE works in the context of mHealth adoption by hospitals. In addition to technological predictors, organizational and environmental predictors are critical for explaining mHealth adoption by Chinese hospitals.
BACKGROUND: Although mobile health (mHealth) has the potential to transform health care by delivering better outcomes at a much lower cost than traditional health care services, little is known about mHealth adoption by hospitals. OBJECTIVE: This study aimed to explore the determinants of mHealth adoption by hospitals using the technology-organization-environment (TOE) framework. METHODS: We conducted an interviewer-administered survey with 87 managers in Chinese public hospitals and analyzed the data using logistic regression. RESULTS: The results of our survey indicate that perceived ease of use (β=.692; P<.002), system security (β=.473; P<.05), top management support (β=1.466; P<.002), hospital size (β=1.069; P<.004), and external pressure (β=.703; P<.005) are significantly related to hospitals' adoption of mHealth. However, information technology infrastructure (β=.574; P<.02), system reliability (β=-1.291; P<.01), and government policy (β=2.010; P<.04) are significant but negatively related to hospitals' adoption of mHealth. CONCLUSIONS: We found that TOE works in the context of mHealth adoption by hospitals. In addition to technological predictors, organizational and environmental predictors are critical for explaining mHealth adoption by Chinese hospitals.
Authors: Munshi Muhammad Abdul Kader Jilani; Md Moniruzzaman; Mouri Dey; Edris Alam; Md Aftab Uddin Journal: Int J Environ Res Public Health Date: 2022-02-27 Impact factor: 3.390