Trial reportTelemedicine journal and e-health : the official journal of the American Telemedicine Association
Using a modified technology acceptance model to evaluate healthcare professionals' adoption of a new telemonitoring system.
Trial report in Telemedicine journal and e-health : the official journal of the American Telemedicine Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 113 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Validity and Reliability of Turkish Version of Physiotherapy Mobile Acceptance Questionnaire
Translating SMARTS 2: the Integration of Video Gaming Technology Into Traditional Rehabilitation
Development and Evaluation of PPAL Bedside Commode for Safe Independent Toileting Transfers
Who cites it
113 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Telemedicine in the primary care of older adults: a systematic mixed studies review.BMC primary care · 2023Pooled it
- Implementation outcome instruments for use in physical healthcare settings: a systematic review.Implementation science : IS · 2020Pooled it
- Understanding Clinicians' Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks.JMIR mHealth and uHealth · 2020Pooled it
- Social, Organizational, and Technological Factors Impacting Clinicians' Adoption of Mobile Health Tools: Systematic Literature Review.JMIR mHealth and uHealth · 2020Pooled it
- Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Primary care physicians' attitudes to the adoption of electronic medical records: a systematic review and evidence synthesis using the clinical adoption framework.BMC medical informatics and decision making · 2018Pooled it
- A Systematic Review of the Technology Acceptance Model in Health Informatics.Applied clinical informatics · 2018Pooled it
- Electronic Measurement-based care (eMBC) for perinatal depression and anxiety: a pilot randomized controlled trial.BMC psychiatry · 2025Trial
- Facilitators and Barriers to Bring Your Own Device (BYOD) Electronic Patient-Reported Outcome (ePRO) Adoption in Oncology Clinical Trials: A Qualitative Study of Clinical Research Professionals (CRPs).Therapeutic innovation & regulatory science · 2026Article
- Global Research Trends in Forced Oscillation Technique (FOT) and Impulse Oscillometry System (IOS): A Bibliometric Analysis of Impact and Emerging Areas.Healthcare (Basel, Switzerland) · 2026Review
- Supporting Patients With Breast Cancer and Providers Through Treatment and Survivorship: Multimethod Implementation Study of the MyJourney Platform.JMIR cancer · 2026Article
- User Acceptance of Remote Care Assist, a Telecare System for Home Care Among Care and Nursing Staff: Cross-Sectional Pilot Study.JMIR rehabilitation and assistive technologies · 2026Article
- Usability and Usefulness of Machine Learning-Based Clinical Decision Support Software in Primary Care: Survey of Users in a Prospective Observational Study.JMIR medical informatics · 2026Observational
- User experience and real-world implementation of a peer-integrated digital health intervention for substance use disorder.Research square · 2026Article
- The Impact of Healthcare Professionals' Characteristics on the Evaluation of Clinical Decision Support Systems: Insights from a Cross-Country Usability and Technology Acceptance Study of the iCARE Tool.Journal of medical systems · 2026Article
- Virtual or In-Person: Does It Matter? Comparing Pain, Function, Quality of Life, Self-Efficacy, and Physical Function Outcomes of Virtual, Hybrid, and In-Person Education and Exercise Program Participants.Arthritis care & research · 2026Article
- Article
- Article
- Telerehabilitation of patients with stroke: Initial program theories for successful implementation.PM & R : the journal of injury, function, and rehabilitation · 2025Article
- Perspectives From Multidisciplinary Professionals in France on Shared Patient Portals for Integrated Pediatric Rehabilitation: Qualitative Study.JMIR rehabilitation and assistive technologies · 2025Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveTo examine the factors that could influence the decision of healthcare professionals to use a telemonitoring system. MATERIALS AND
methodsA questionnaire, based on the Technology Acceptance Model (TAM), was developed. A panel of experts in technology assessment evaluated the face and content validity of the instrument. Two hundred and thirty-four questionnaires were distributed among nurses and doctors of the cardiology, pulmonology, and internal medicine departments of a tertiary hospital. Cronbach alpha was calculated to measure the internal consistency of the questionnaire items. Construct validity was evaluated using interitem correlation analysis. Logistic regression analysis was performed to test the theoretical model. Adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) were computed.
resultsA response rate of 39.7% was achieved. With the exception of one theoretical construct (Habit) that corresponds to behaviors that become automatized, Cronbach alpha values were acceptably high for the remaining constructs. Theoretical variables were well correlated with each other and with the dependent variable. The original TAM was good at predicting telemonitoring usage intention, Perceived Usefulness being the only significant predictor (OR: 5.28, 95% CI: 2.12-13.11). The model was still significant and more powerful when the other theoretical variables were added. However, the only significant predictor in the modified model was Facilitators (OR: 4.96, 95% CI: 1.59-15.55).
conclusionThe TAM is a good predictive model of healthcare professionals' intention to use telemonitoring. However, the perception of facilitators is the most important variable to consider for increasing doctors' and nurses' intention to use the new technology.
Indexed as
Identifiers
What OpenQuestion holds
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.