Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model

2011 ◽  
Vol 17 (6) ◽  
pp. 303-307 ◽  
Author(s):  
Estibalitz Orruño ◽  
Marie Pierre Gagnon ◽  
José Asua ◽  
Anis Ben Abdeljelil
Keyword(s):  
Health Care ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Care Professionals ◽  
Acceptance Model

scholarly journals Validation of a Short Questionnaire to Assess Perceptions of Health Care Professionals with Asynchronous Telemedicine Services: The Catalan Version of the Optimum Telemedicine Acceptance Questionnaire

2020 ◽  
Author(s):  
Josep Vidal-Alaball ◽  
Gemma Flores Mateo ◽  
Josep Lluís Garcia Domingo ◽  
Xavier Marín Gomez ◽  
Glòria Sauch Valmaña ◽  
...  
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Care Professionals ◽  
Organizational Context ◽  
Perceived Usefulness ◽  
Psychometric Validation ◽  
Alpha Coefficient ◽  
Acceptance Model

Background: Telemedicine is both effective and can provide efficient care at lower costs. It also enjoys a high acceptance rate among users. The Technology Acceptance Model proposed is based on the two main concepts of ease of use and perceived usefulness and comprises three dimensions: the individual context, the technological context and the implementation or organizational context. There is not a short and validated questionnaire to check the acceptance of telemedicine services amongst health care professionals using a technology acceptance model. Objective To translate and validate a telemedicine acceptance questionnaire based in the technology acceptance model. Methods The study included the following phases: adaptation and translation of the questionnaire into Catalan and psychometric validation which include construct (exploratory factor analysis), consistency (Cronbach’s alpha) and stability (test-retest). Factor analysis was used to describe variability amongst observed variables. Results After removing incomplete responses 144 responses where considered for analysis. The internal consistency measured with the Cronbach’s alpha coefficient was good with an alpha coefficient of 0.84 (95%, CI: 0.79-0.84). The intraclass correlation coefficient was 0.93 (95% CI: 0.852-0.964). The Kaiser-Meyer-Olkin test of sampling was adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl=28; P < .001), indicating that the items were appropriate for a factor analysis. Conclusions The questionnaire validated with this study has robust statistical features that make it a good predictive model of professional’s satisfaction with telemedicine programs.

Telemedicine questionnaire for health care professionals: adaptation and validation using the Technology Acceptance Model (Preprint)

2019 ◽  
Author(s):  
Josep Vidal-Alaball ◽  
Gemma Flores Mateo ◽  
Josep Lluís Garcia Domingo ◽  
Francesc Xavier Marin-Gomez ◽  
Glòria Sauch Valmaña ◽  
...  
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Care Professionals ◽  
Alpha Coefficient ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
Acceptance Model

BACKGROUND Telemedicine is both effective and can provide efficient care at lower costs. It also enjoys a high acceptance rate among users. The technology acceptance model proposed is based on the two main concepts of ease of use and perceived usefulness and comprises three dimensions: the individual context, the technological context, and the implementation or organizational context. There is not a short validated questionnaire to check the acceptance of telemedicine services amongst health care professionals using a technology acceptance model. OBJECTIVE To translate and validate a telemedicine acceptance questionnaire based in the technology acceptance model. METHODS The study included the following phases: adaptation and translation of the questionnaire into Catalan, and psychometric validation which include construct (exploratory and confirmatory factor analysis), consistency (Cronbach’s alpha) and stability (test-retest). Factor analysis was used to describe variability amongst observed variables. The Kaiser-Meyer-Olkin test of sampling was adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl=28; P < .001), indicating that the items were appropriate for a factor analysis. The final confirmatory factor analysis conducted showed good fit index (RMSEA = 0.102, CFI = 0.93, TLI =0.90; CD =0.96). RESULTS After removing incomplete responses 144 responses where considered for analysis. The internal consistency measured with the Cronbach’s alpha coefficient was good with an alpha coefficient of 0.84 (95%, CI: 0.79-0.84). The intraclass correlation coefficient was 0.93 (95% CI: 0.852-0.964). CONCLUSIONS The questionnaire validated with this study has robust statistical features that potentially make it a good predictive model of professional’s satisfaction with telemedicine programs. CLINICALTRIAL n/a

The Importance of Telemedicine in Global Health Care

2017 ◽  
pp. 860-880
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Health Care ◽  
Global Health ◽  
Technology Acceptance ◽  
Health Care Professionals ◽  
Access To Health Care ◽  
Gas Industry ◽  
Access To Health ◽  
Care Systems ◽  
Global Health Care ◽  
Acceptance Model

The chapter explains the challenges facing health care systems; the overview of telemedicine; the technological devices of telemedicine systems; telemedicine and chronic diseases; telemedicine and technology acceptance model (TAM); the applications of telemedicine in the oil and gas industry; and the importance of telemedicine in global health care. Telemedicine brings the health care value through its ability for the remote visits with patients, immediate access to health care professionals, real-time access to health data, and health monitoring capabilities. Telemedicine is an effective health care measure that can manage the new and affordable technology with the potential to deliver the convenient and effective care to patients, and provides an alternative way for the health care organizations to deliver the essential health outcomes. The chapter argues that applying telemedicine has the potential to increase health care performance and gain sustainable competitive advantage in global health care.

The Importance of Telemedicine in Global Health Care

2017 ◽  
pp. 157-177 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Health Care ◽  
Global Health ◽  
Technology Acceptance ◽  
Health Care Professionals ◽  
Access To Health Care ◽  
Gas Industry ◽  
Access To Health ◽  
Care Systems ◽  
Global Health Care ◽  
Acceptance Model

The chapter explains the challenges facing health care systems; the overview of telemedicine; the technological devices of telemedicine systems; telemedicine and chronic diseases; telemedicine and technology acceptance model (TAM); the applications of telemedicine in the oil and gas industry; and the importance of telemedicine in global health care. Telemedicine brings the health care value through its ability for the remote visits with patients, immediate access to health care professionals, real-time access to health data, and health monitoring capabilities. Telemedicine is an effective health care measure that can manage the new and affordable technology with the potential to deliver the convenient and effective care to patients, and provides an alternative way for the health care organizations to deliver the essential health outcomes. The chapter argues that applying telemedicine has the potential to increase health care performance and gain sustainable competitive advantage in global health care.

scholarly journals Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110400
Author(s):  
Jeeyeon Jeong ◽  
Yaeri Kim ◽  
Taewoo Roh
Keyword(s):  
Health Care ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Diffusion Theory ◽  
Wearable Devices ◽  
Intention To Use ◽  
Innovation Diffusion Theory ◽  
Study Results ◽  
Psychological Mechanism ◽  
Acceptance Model

This study examined the influencing factors on consumers’ intention to use wearable devices in health care (WDH). Although the importance of the WDH market is increasing, existing empirical study results on WDH have been selectively investigated based on the technology acceptance model (TAM). To address this issue, we endeavored to contribute by integrating the theory of planned behavior (TPB) and innovation diffusion theory (IDT) on top of TAM to explain the psychological mechanism underlying consumer behaviors, especially when adopting advanced wearable devices in the health care domain. We surveyed 303 people in Pangyo IT Valley, South Korea, and attempted a path analysis using PLS-SEM estimation. The findings suggest that individual innovativeness (IIN) directly affects consumers’ intention to use (IU) WDH, while self-efficacy (SE), aesthetics (AES), and compatibility (COM) have indirectly influenced their usage intentions. Detailed results are described in the article.

scholarly journals Clinical Staff Attitude Toward the Computerized Physician Order Entry System in Cardiac Care Unit Based on a Model by the Name of “Technology Acceptance Model in Health Care Centers of Iran”

2020 ◽  
Vol 21 (9) ◽  
Author(s):  
Fatemeh Ghaznavi ◽  
Payam Farhadi ◽  
Roxana Sharifian
Keyword(s):  
Health Care ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Cardiac Care ◽  
Organizational Strategies ◽  
Order Entry ◽  
Acceptance Model ◽  
Physician Order Entry ◽  
Health Care Centers ◽  
Cardiac Care Unit

Background: Currently, many physicians use the computerized physician order entry (CPOE) system, and the adoption of this system is increasing worldwide. The technology acceptance model has been implemented and evaluated. It has become one of the most recognized empirical models. Besides, recent studies showed that this model well anticipates users’ behavioral tendencies in accepting technology in healthcare centers. The use of the technology acceptance model in the implementation of health care systems such as CPOE, which is effective in reducing medical errors, is necessary. Objectives: This applied research has used a descriptive-analytical approach. In the current study the technology acceptance model in Iranian health care centers, which was proposed by Safdari and colleagues aimed to investigate the attitudes of clinical staff toward the computerized physician orders entry system, was used in the Cardiac Care Unit of Alzahra’s Heart Hospital in Shiraz to determine the importance and effectiveness of each dimension on attitudes toward using CPOE by 140 of physicians and nurses. Methods: Three main dimensions, including human, monitoring-management, and organizational strategies factors, were evaluated using a researcher-made questionnaire. Data were analyzed by SPSS version 25 using the descriptive and analytical statistics (i.e., Pearson correlation test and t-test). Results: The results showed that organizational strategies dimension with an average of 3.85 (out of 5) had the highest users’ attention, followed by monitoring-management and human dimensions. The overall average of all dimensions was 3.78. All dimensions had a positive and direct effect on the attitudes toward using the CPOE. Demographic characteristics did not have a meaningful relationship with any dimensions. Conclusions: Finally, the average above 3 in the mean of the total dimensions, as well as each dimension, shows views of the users are appropriate to using the CPOE., the views of the users are appropriated toward using CPOE. It should be noted that the difference in the dimension means is a small amount. The centered focus on organizational strategies with the highest average should not cause to neglect other dimensions.

scholarly journals Telemedicine Experiences of Athletic Trainers and Orthopaedic Physicians for Patients With Musculoskeletal Conditions

2020 ◽  
Vol 55 (8) ◽  
pp. 768-779 ◽  
Author(s):  
Zachary K. Winkelmann ◽  
Lindsey E. Eberman ◽  
Kenneth E. Games
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Health Care Professionals ◽  
Sports Medicine ◽  
Athletic Trainers ◽  
Ease Of Use ◽  
Cross Sectional ◽  
Acceptance Model

Context Telemedicine is the delivery of medical care from a distance using technology. The integration of telemedicine as a supplement to musculoskeletal-based patient encounters may be feasible in sports medicine. Objective To investigate health care professionals' perceptions of and experiences with telemedicine. Design Cross-sectional explanatory sequential mixed-methods study. Patients or Other Participants A purposeful sample of 17 athletic trainers from a National Collegiate Athletic Association Division I institution and 5 orthopaedic physicians from a sports medicine clinic located 92 miles from the campus. Intervention(s) Participants were trained on the telemedicine platform and used it over 5 months for initial, follow-up, and discharge patient encounters. Main Outcome Measure(s) Participants completed a preintervention survey containing the Theory of Planned Behavior and Technology Acceptance Model tool. Responses were analyzed using descriptive statistics and an independent-samples t test. After the intervention period, participants completed individual semistructured interviews that we coded using the consensual qualitative research tradition. Results From the interviews, the clinicians were characterized as telemedicine adopters (n = 14) or nonadopters (n = 8). The adopters reported higher levels of agreement on the Theory of Planned Behavior and Technology Acceptance Model tool as compared with nonadopters for all constructs. When comparing adoption status, we identified a difference (P &lt; .01), with nonadopters reporting a low level of agreement for the subjective norm construct. The interviews revealed 5 domains: integration challenges, integration opportunities, collaborative practice, anticipatory socialization to future use, and benefits of integration. The participants indicated that integration challenges centered on “buy in,” whereas opportunities aligned with the patient's condition and technology ease of use. They reflected that the telemedicine encounters required more preparation and yet allowed for cooperative behaviors between clinicians. The benefits of telemedicine included convenience and scheduling preferences that encouraged future use. Conclusions The integration of telemedicine in sports medicine brought about both challenges and opportunities for collaboration among athletic trainers and physicians that were heavily predetermined by the social pressures of colleagues.

scholarly journals A Conceptual Model for Telemedicine Adoption: An Examination of Technology Acceptance Model

2019 ◽  
Vol 8 (2) ◽  
pp. 1286-1288
Keyword(s):  
Health Care ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Care Services ◽  
Health Care Service ◽  
High Rate ◽  
Digital Culture ◽  
Care Services ◽  
Tam Model ◽  
Acceptance Model

India is attaining a high rate of adoption of telemedicine services and which is contributing towards the growth of Indian economy. Healthcare industry in India is going through a massive transformational change .Low cost driven channel for delivering health care services to the patient at their convenience and where distance is matter of concern. Government and private hospitals had started to render their health care service to the urban as well as rural community’s .Digital OPD is thus leading towards a digital culture for providing health care services. However lot of issues and challenges arise regarding adoption of telemedicine services by the physicians working in different private and government hospitals. This study was made in Odisha with a sample size of 134.Technology acceptance Model (TAM) model was extended in the study with other external factors and SEM modeling was used to predict the significant factors leading to the prediction of the adoption of telemedicine services by Physician’s. The TAM model is a good predictive model for the adoption of telemedicine services by the Physician’s.

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