Observational studyBMC medical informatics and decision making2020
MHealth and perceived quality of care delivery: a conceptual model and validation.
Observational study in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Article
- Investigating Clinicians' Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey.Journal of medical Internet research · 2025Article
- Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease.Cureus · 2024Review
- Lessons from digital technology-enabled health interventions implemented during the coronavirus pandemic to improve maternal and birth outcomes: a global scoping review.BMC pregnancy and childbirth · 2023Article
- A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications.Journal of multidisciplinary healthcare · 2023Article
- Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study.JMIR human factors · 2022Article
- Integration of mHealth Information and Communication Technologies Into the Clinical Settings of Hospitals in Sub-Saharan Africa: Qualitative Study.JMIR mHealth and uHealth · 2021Article
- Health Communication in COVID-19 Era: Experiences from the Italian VaccinarSì Network Websites.International journal of environmental research and public health · 2021Article
- Determinants of the behavioral intention to use a mobile nursing application by nurses in China.BMC health services research · 2021Article
- Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review.JMIR mHealth and uHealth · 2020Review
- Use of Instagram by Pre-Service Teacher Education: Smartphone Habits and Dependency Factors.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objective of this research is to examine, conceptualize, and empirically validate a model of mobile health (mHealth) impacts on physicians' perceived quality of care delivery (PQoC).
methodsObservational quasi-experimental one group posttest-only design was implemented through the empirical testing of the conceptual model with nine hypotheses related to the association of task and technology characteristics, self-efficacy, m-health utilization, task-technology fit (TTF), and their relationships with PQoC. Primary data was collected over a four-month period from acute care physicians in The Ottawa Hospital, Ontario, Canada. The self-reported data was collected by employing a survey and distributed through the internal hospital channels to physicians who adopted iPads for their daily activities.
resultsPhysicians' PQoC was found to be positively affected by the level of mHealth utilization and TTF, while the magnitude of the TTF direct effect was two times stronger than utilization. Additionally, self-efficacy has the highest direct and total effect on mHealth utilization; in the formation of TTF, technological characteristics dominate followed by task characteristics.
conclusionTo date, the impact of utilized mHealth on PQoC has neither been richly theorized nor explored in depth. We address this gap in existing literature. Realizing how an organization can improve TTF will lead to better PQoC.
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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.