ArticleJMIR medical informatics2019
Understanding Determinants of Health Care Professionals' Perspectives on Mobile Health Continuance and Performance.
Article in JMIR medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Health Providers' Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis.Journal of medical Internet research · 2023Pooled it
- Predictors of Mobile Health App Acceptance Among Nurses in Kashan, Iran: Cross-Sectional Study.JMIR mHealth and uHealth · 2026Article
- Article
- Reveal the dynamics of mobile health services continuance intention: effects of expectation, confirmation, and chronic disease.Frontiers in public health · 2025Article
- Design and Psychometric Evaluation of Nurses' Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory.JMIR human factors · 2024Article
- Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians' and Specialists' Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study.JMIR formative research · 2024Article
- Experiences of Electronic Health Records' and Client Information Systems' Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study.Journal of medical Internet research · 2024Article
- Incorporating Technology Adoption in Medical Education: A Qualitative Study of Medical Students' Perspectives.Advances in medical education and practice · 2024Article
- Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19.International journal of environmental research and public health · 2023Article
- Medical Personnel Behavior Preferences for Providing mHealth Service in China: A Discrete Choice Experiment.Risk management and healthcare policy · 2023Article
- Implementation of Health Information Systems to Improve Patient Identification.International journal of environmental research and public health · 2022Article
- Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis.NPJ digital medicine · 2022Review
- Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments.BMC medical informatics and decision making · 2022Article
- Article
- Real-World Experience of mHealth Implementation in Clinical Practice (the Box): Design and Usability Study.JMIR cardio · 2021Article
- Health Professionals' Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study.JMIR medical informatics · 2021Article
- The Impact of Gamification-Induced Users' Feelings on the Continued Use of mHealth Apps: A Structural Equation Model With the Self-Determination Theory Approach.Journal of medical Internet research · 2021Article
- Smartphone Medical App Use and Associated Factors Among Physicians at Referral Hospitals in Amhara Region, North Ethiopia, in 2019: Cross-sectional Study.JMIR mHealth and uHealth · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the widespread use of mobile technologies, mobile information systems have become crucial tools in health care operations. Although the appropriate use of mobile health (mHealth) may result in major advances in expanding health care coverage (increasing decision-making speeds, managing chronic conditions, and providing suitable health care in emergencies), previous studies have argued that current mHealth research does not adequately evaluate mHealth interventions, and it does not provide sufficient evidence regarding the effects on health.
objectiveThe aim of this study was to facilitate the widespread use of mHealth systems; an accurate evaluation of the systems from the users' perspective is essential after the implementation and use of the system in daily health care practices. This study extends the expectation-confirmation model by using characteristics of individuals, technology, and tasks to identify critical factors affecting mHealth continuance and performance from the perspective of health care professionals (HCPs).
methodsA questionnaire survey was used to collect data from HCPs who were experienced in using mHealth systems of a Taiwanese teaching hospital. In total, 282 questionnaires were distributed, and 201 complete and valid questionnaires were returned, thus indicating a valid response rate of 71.3% (201/282). The collected data were analyzed using WarpPLS version 5.0 (ScriptWarp Systems).
resultsThe results revealed that mHealth continuance (R
conclusionsThe identified critical factors influencing mHealth continuance and performance can be used as a useful assessment tool by hospitals that have implemented mHealth systems to facilitate the use and infusion of the systems. Furthermore, the results can help health care institutions that intend to introduce or develop mHealth applications to identify critical issues and effectively allocate limited resources to mHealth systems.
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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.