Article detail · 2016
Understanding the perception towards using mHealth applications in practice physicians perspective
- Year
- 2016
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Information Development
- Catalog match (ISSN) Information Development
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
The objective of this study was to investigate physicians’ perceptions to use mobile health applications in practice, and to identify influencing factors to use the technology. An mHealth technology acceptance model was proposed (M-TAM), and a cross-sectional survey was implemented using structured questionnaire to collect data. Online tools were used for inviting participants (physicians) and data collection from Turkey. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). A total of 128 physicians participated in the survey. The model explained the perception of physicians towards mHealth application use by 51% of total variance. The influential factors were identified as Effort Expectancy, Mobile Anxiety, Perceived Service Availability and Technical Training and Support. The study provided a new model to the literature of health information technology. Findings of the research contributed by unveiling latent constructs and their influence on physicians’ perceptions towards a new healthcare technology: mHealth applications.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
67 citations
OpenAlex cited_by_count (cache / database)
3 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- User anxiety as an external variable of technology acceptance model: A meta-analytic study 2019
- Intention vs. Perception: Understanding the Differences in Physicians’ Attitudes Toward Mobile Health Applications 2018
- A Unified Theoretical Model for Understanding Mobile Application Usage Behavior Supported with Real Usage Data 2024