ArticleApplied clinical informatics2019
The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation.
Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Patients' Perspectives on the Data Confidentiality, Privacy, and Security of mHealth Apps: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Getting Connected to M-Health Technologies through a Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Routine Health Information Systems in the European Context: A Systematic Review of Systematic Reviews.International journal of environmental research and public health · 2021Pooled it
- Anatomy at Risk: An App for Evaluating Hand Lacerations and Planning Surgical Incisions.Journal of hand surgery global online · 2025Article
- Determinants of chronic disease patients' intention to use Internet diagnosis and treatment services: based on the UTAUT2 model.Frontiers in digital health · 2025Article
- The coming of age of digital technologies in global health within the Indian context: a review.The Journal of the Egyptian Public Health Association · 2024Review
- Conceptualizing Patient as an Organization With the Adoption of Digital Health.Biomedical engineering and computational biology · 2024Article
- Understanding the behavioral intentions of MaaS during public health events.Frontiers in psychology · 2024Article
- Telehealth Competencies: Training Physicians for a New Reality?Healthcare (Basel, Switzerland) · 2023Article
- Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments.International journal of environmental research and public health · 2023Article
- Modeling Consumer Acceptance and Usage Behaviors of m-Health: An Integrated Model of Self-Determination Theory, Task-Technology Fit, and the Technology Acceptance Model.Healthcare (Basel, Switzerland) · 2023Article
- Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample.JMIR diabetes · 2023Article
- Knowledge, attitude and practice toward the mHealth app Mawid: a cross-sectional study.International health · 2023Article
- Characterization of Self-reported Improvements in Knowledge and Health Among Users of Flo Period Tracking App: Cross-sectional Survey.JMIR mHealth and uHealth · 2023Article
- An Integrated Model for Evaluating the Sustainability of Gamified Mobile Health Apps: An Instrument Development and Validation.Healthcare (Basel, Switzerland) · 2023Article
- Paving the way for increased e-health record use: elaborating intentions of Gen-Z.Health systems (Basingstoke, England) · 2023Article
- Reported COVID-19 vaccines side effects among Jordanian population: a cross sectional study.Human vaccines & immunotherapeutics · 2022Article
- Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease-Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review.JMIR cardio · 2022Article
- Factors influencing the elderly's adoption of mHealth: an empirical study using extended UTAUT2 model.BMC medical informatics and decision making · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe potential benefit of mobile health (M-Health) in developing countries for improving the efficiency of health care service delivery, health care quality, and patient safety, as well as reducing cost, has been increasingly recognized and emphasized in the last few years.
objectiveLimited research has investigated the facilitators and barriers for the adoption of M-Health in developing countries to secure successful implementation of the technology. To fill this knowledge gap, we propose an integrative model that explains the patient's adoption behavior of M-Health in developing countries grounded on the unified theory of acceptance and use of technology, dual-factor model, and health belief model.
methodWe empirically tested and evaluated the model based on data collected using a survey method from 280 patients living in a developing country. Partial least squares (PLS-SEM) technique was used for data analysis.
resultsThe results showed that performance expectancy, effort expectancy, social influence, perceived health threat, M-Health app quality, and life quality expectancy have a direct positive effect on patients' intention to use M-Health. The results also showed that security and privacy risks have a direct negative effect on the patient's intention to use M-Health. However, resistance to change was found to have an indirect negative effect on patients' intention to use M-Health through the performance expectancy.
conclusionThe research contributes to the existing literature of health information systems and M-Health by better understanding how technological, social, and functional factors are associated with digital health applications and services use and success in the context of developing countries. With the widespread availability of mobile technologies and services and the growing demand for M-Health apps, this research can help guide the development of the next generation of M-Health apps with a focus on the needs of patients in developing countries. The research has several theoretical and practical implications for the health care industry, government, policy makers, and technology developers and designers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.