ArticleInternational journal of environmental research and public health2023
Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Health workers' adoption of digital health technology in low- and middle-income countries: a systematic review and meta-analysis.Bulletin of the World Health Organization · 2025Pooled it
- Determinants of Healthcare Professionals' Intentions to Use Telemedicine for Elderly Care in Algeria: A Technology Acceptance Model Approach.Geriatrics (Basel, Switzerland) · 2026Article
- Explaining the Use Behavior of Digital Technologies in Pediatric Rehabilitation: Structural Equation Modeling Analysis of a Cross-Sectional European Survey.Journal of medical Internet research · 2026Article
- Differential analysis of artificial intelligence teaching tools acceptance among medical teachers based on theory of planned behavior: a cross-sectional study with latent profile and multi-class logistic regression analysis.BMC medical education · 2026Article
- Beyond the digital divide: multi-group SEM examination of socioeconomic status, mHealth utilization, and urban-rural physical activity disparities in Indonesia.Frontiers in digital health · 2026Article
- Impact of technological acceptance on application-based engagement among type 2 diabetes patients: local insights and implications for developing countries.Journal of pharmaceutical policy and practice · 2026Article
- Healthcare Practitioners' Perceptions of mHealth Application Barriers: Challenges to Adoption and Strategies for Enhancing Digital Health Integration.Healthcare (Basel, Switzerland) · 2025Article
- mHealth knowledge and usage in maternal healthcare delivery: perspectives and experiences of healthcare practitioners in Ghana.BMJ open · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the study comprised healthcare professionals (registered doctors and nurses) working in the participating hospitals. The findings of the seven-factor measurement model showed that behavioral intention (BI) to mHealth adoption is significantly influenced by performance expectancy (β = 0.504, CR = 5.064,
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