Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry

Journal of Dental Education, Journal Year: 2020, Volume and Issue: 84(11), P. 1262 - 1269

Published: July 24, 2020

Abstract Teledentistry is an innovative technology that can be used to improve access care and oral health outcomes. Dental students’ intention use teledentistry after completing dental school has not been investigated. Purpose The unified theory of acceptance (UTAUT) was predict intentions among 4th‐year U.S. students. Methods A cross‐sectional approach performed for a 7‐week period in Spring 2019. All schools (N = 66) were invited participate 16 agreed participate. An anonymous survey link emailed academic deans dissemination total 1416 students received the 210 completed (response rate 14.8%). included questions scales measured UTAUT constructs performance expectancy (PE), effort (EE), social influence (SI), facilitating conditions (FC), behavioral (BI). Data analyzed using SPSS version 24. study deemed exempt by institutional review board. Results BI significantly predicted PE ( R 2 33%, P < 0.01), EE 24%, SI FC 14%, 0.01). model statistically significant predicting explained 40% variance .40, Conclusions perceptions about PE, EE, SI, associated with BI. Therefore, exposure while could increase likelihood as practicing provider.

Language: Английский

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Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study

Journal of Medical Internet Research, Journal Year: 2021, Volume and Issue: 23(10), P. e31582 - e31582

Published: Sept. 27, 2021

Personal health records (PHRs) are eHealth tools designed to support patient engagement, empowerment, and patient- person-centered care. Endorsement of a PHR by care providers (HCPs) facilitates acceptance. As organizations in the Kingdom Saudi Arabia begin adopt PHRs, understanding perspectives HCPs is important because it can influence adoption. However, no studies evaluated HCPs' acceptance PHRs Arabia.The aim this study was identify predictors using behavioral intention recommend as proxy for adoption.This cross-sectional conducted among (physicians, pharmacists, nurses, technicians, others) utilizing survey based on Unified Theory Acceptance Use Technology. The main theory constructs performance expectancy, effort social influence, facilitating conditions, positive attitude were considered independent variables. Behavioral dependent variable. Age, years experience, professional role tested moderators between partial least squares structural equation modeling.Of 291 participants, 246 included final analysis. use patients significantly influenced expectancy (β=.17, P=.03) (β=.61, P<.01). No moderating effects present.This identified patients. To encourage endorse should involve implementation provide training features available well expected benefits. Future be other contexts include potential predictors.

Language: Английский

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Routine Health Information Systems in the European Context: A Systematic Review of Systematic Reviews

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(9), P. 4622 - 4622

Published: April 27, 2021

(1) Background: The aim of this study is to provide a better understanding the requirements improve routine health information systems (RHISs) for management systems, including identification best practices, opportunities, and challenges in 53 countries territories WHO European region. (2) Methods: We conducted an overview systematics reviews searched literature databases MEDLINE/PubMed, Cochrane, EMBASE, Web Science electronic databases. After meticulous screening, we identified 20 that met inclusion criteria, RHIS evaluation results were presented according Performance Routine Information System Management (PRISM) framework. (3) Results: published between 2007 2020, focusing on use different or technologies aimed analyze interventions professionals, centers, patients' outcomes. All examined showed variability accordance with target populations. have found areas improvement RHISs three determinants PRISM framework influence configuration RHISs: technical, organizational, behavioral elements. (4) Conclusions: region are promising. However, new global international strategies development tools mechanisms should be promoted highly integrate platforms among countries.

Language: Английский

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Empowering Active and Healthy Ageing: Integrating IoT and Wearable Technologies for Personalised Interventions

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4789 - 4789

Published: May 31, 2024

Social isolation and loneliness greatly contribute to negative health consequences in older adults. Technological solutions can be an asset promoting social connections healthy behaviours. This paper presents innovative structure for Internet of Things (IoT) platform specifically tailored persons. The framework utilises a supervised learning algorithm classify users into four identified profiles facilitate the adoption engagement technology. incorporates wearables, such as socks smart bands, track physical activity, messaging module encourage interaction. processes acquired data quantify steps deliver interventions remotely adults through AGAPE Assistant, mHealth solution platform. Furthermore, Assistant has user interface design adults, with focus on their specific needs. Additionally, improving digital literacy among is crucial maximizing long-term compliance benefits technological solutions. On other hand, Monitor web application used by formal caregivers configure interventions. platform’s usability was assessed using different scale questionnaires, which revealed mild level satisfaction acceptance. proposed currently being deployed more than 112 across three countries: Italy, Romania, Portugal. provides holistic active ageing adopting technology, implementing hybrid interventions, interactions.

Language: Английский

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A three-step SEM-Bayesian network approach for predicting the determinants of CloudIoT-based healthcare adoption

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 23, 2024

Language: Английский

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