Physician's Acceptance of Teledermatology Services: An Empirical Study (original) (raw)
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Journal of Telemedicine and Telecare, 2011
We examined the main factors affecting the intention of physicians to use teledermatology using a modified Technology Acceptance Model (TAM). The investigation was carried out during a teledermatology pilot study conducted in Spain. A total of 276 questionnaires were sent to physicians by email and 171 responded (62%). Cronbach's alpha was acceptably high for all constructs. Theoretical variables were well correlated with each other and with the dependent variable (Intention to Use). Logistic regression indicated that the original TAM model was good at predicting physicians' intention to use teledermatology and that the variables Perceived Usefulness and Perceived Ease of Use were both significant (odds ratios of 8.4 and 7.4, respectively). When other theoretical variables were added, the model was still significant and it also became more powerful. However, the only significant predictor in the modified model was Facilitators with an odds ratio of 9.9. Thus the TAM was good at predicting physicians' intention to use teledermatology. However, the most important variable was the perception of Facilitators to using the technology (e.g. infrastructure, training and support).
Acceptance of telemedicine technology among physicians: A systematic review
Informatics in Medicine Unlocked
Background: Telemedicine is vital technology to deliver health services at a distance by health professionals, especially physicians, who are key players in Community health. Given the important role of telemedicine in improving health care, especially in the COVID-19 epidemic, an examination of behavioral barriers and not using this technology among physicians can be important. Objectives: The aim of our systematic review is to identify the behavioral factors influencing the acceptance of telemedicine technology among physicians in different contexts. Methods: A literature search was conducted according to the PRISMA guidelines. The search was conducted without any time limitations up to the Dec of 2020 in Web of Science, PubMed, Scopus, and Embase scientific databases; by applying keywords. The article selection was made based on inclusion (telemedicine among physicians, using the acceptance behavioral theories), and exclusion (physicians not the end-users of technology, it is not about acceptance of technology) criteria by two authors independently. Data was gathered using a data extraction form, and the results were reported in tables and figures based on the study objectives. Results: From all the retrieved studies, 37 articles were included based on the inclusion and exclusion criteria. The United States and Spain have the most conducted studies about the acceptance of telemedicine from the physicians' point of view. The study results showed that the Technology Acceptance Model (TAM) and extended TAM model have the highest frequency. The main factors affecting the acceptance and use of telemedicine were perceived usefulness, attitude to use, compatibility, perceived ease of use, self-efficacy, subjective norms, perceived behavioral control, and facilitating condition. Conclusions: Identifying the most important factors that affect the acceptance of telemedicine from physicians' perspectives, as a key player in telemedicine projects, can help managers and policymakers make the right decisions about implementation of telemedicine successfully, especially in the initial phases. Future studies can also evaluate the aggregation of factors identified in this paper.
DETERMINANTS OF THE INTENTION TO USE TELEMEDICINE: EVIDENCE FROM PRIMARY CARE PHYSICIANS
2016
Objectives: While most studies have focused on analyzing the results of telemedicine use, it is crucial to consider the determinants of its use to fully understand the issue. This article aims to provide evidence on the determinants of telemedicine use in clinical practice. Methods: The survey targeted a total population of 398 medical professionals from a healthcare institution in Spain. The study sample was formed by the ninety-three primary care physicians who responded. Using an extended Technology Acceptance Model and microdata for the ninety-six physicians, binary logistic regression analysis was carried out. Results: The analysis performed confirmed the model's goodness-of-fit, which allowed 48.1 percent of the dependent variable's variance to be explained. The outcomes revealed that the physicians at the healthcare institution placed greater importance on telemedicine's potential to reduce costs, and on its usefulness to the medical profession. The perception of medical information security and confidentiality and the patients’ predisposition toward telemedicine were the second explanatory factors in order of importance. A third set of moderating effects would appear to corroborate the importance of the physicians’ own opinions. Conclusions: These results have revealed the need for a dynamic approach to the design of telemedicine use, especially when it targets a variety of end-users. Hence, the importance of conducting studies before using telemedicine, and attempting to identify which of the above-mentioned predictors exert an influence and how.
Journal of Information Systems Engineering and Business Intelligence/Journal of information systems engineering and business intelligence, 2024
Background: Over the years, the role of startups has experienced a significant increase in healthcare delivery, particularly in telemedicine. However, there are still some inherent challenges, including cultural factors, lack of digital literacy, and uneven internet network infrastructure that must be considered during implementation. Previous reports also showed that there was a knowledge gap regarding the factors influencing acceptance of telemedicine. Objective: This study aimed to introduce and investigate an adjusted model based on Technology Acceptance Model (TAM) to assess the influence of user dimensions, technological aspects, and socio-cultural elements on the intention to adopt telemedicine services. Methods: The hypothesized relationships between latent variables were examined through Structural Equation Modeling (SEM). In addition, data analysis was carried out using Partial Least Squares-Structural Equation Modeling (PLS-SEM). Results: Self-efficacy (β=-0.272, P=0.013), perceived usefulness (β=0.355, P=0.000), facilitating conditions (β=0.425, P=0.000), and cultural factors (β=0.421, P=0.001) were found to exert a significant influence on the intention to adopt telemedicine services. Meanwhile, trust, the variables of perceived ease of use, and social influence had no significant influences. Conclusion: This study emphasized the significance of comprehending the factors influencing the adoption of telemedicine services. In addition, the results showed that the extended TAM was applicable in assessing acceptance of telemedicine services.
International journal of research publications, 2021
Telemedicine is no longer only relevant to the geographically isolated and disadvantaged areas (GIDA). Since the COVID-19 pandemic, the Philippine government has been encouraging nationwide adoption of remote medical care to lessen the risks for both patients and healthcare workers. Its implementation, however, lacks an established framework from the government. Given these conditions, it is important to engage in studies investigating the existing acceptance and use of emerging technology such as telemedicine. This study compared the acceptance and use of telemedicine of Filipino physicians and patients in selected Metro Manila healthcare institutions. A survey questionnaire patterned from the modified Unified Theory of Acceptance and Use of Technology (UTAUT) model of Venkatesh et al. (2016) was constructed to gather data. It was deployed via Google forms to 120 respondents, including 60 physicians and 60 patients. The data gathered were then analyzed by Spearman-rank order correlation and Cramér's V for the correlation analysis, whereas descriptive statistics was used in analyzing the user groups' demographics, used and preferred modalities, and overall rating of experience in telemedicine consultation. For the physician user group, relationships between the type of hospital and facilitating conditions (FC), and computer anxiety (CA) and performance expectancy (PE) have yielded significant correlations (p-value<.05). For the patient user group, relationships between the type of hospital and effort expectancy (EE), and CA and FC have significant correlations. Furthermore, both user groups exhibited significant correlations between perceived security (PS) and the four constructs of telemedicine acceptance and use, and likewise with the four constructs and behavioral intention (BI). The majority of both user groups use and prefer social media platforms in a telemedicine consultation. Moreover, data also revealed that the majority of user groups were satisfied with their telemedicine experience. Both user groups have varying factors at play on using telemedicine based on the limited data. This study sheds light on what areas of concern may be addressed for future research and policies which can improve the development of telemedicine in the country. For future studies, the researchers recommend the utilization of the structural equation modeling (SEM) statistical analysis technique to determine the moderating effects of variables involved in the study.
Telemedicine and e-Health, 2012
Objective: To examine the factors that could influence the decision of healthcare professionals to use a telemonitoring system. Materials and Methods: A 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. Results: A 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). Conclusion: The 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.
Healthcare, 2024
This study investigates Romanian physicians’ acceptance of telemedicine using the Technology Acceptance Model. We analyzed 1093 responses to an online survey distributed nationwide to physicians via email by the National Authority of Quality Management in Health, employing the partial least squares algorithm to estimate the relationship between the behavioral intention to adopt telemedicine and its potential determinants. Our findings reveal that the model accounts for 84.6% of the variance in behavioral intention to use telemedicine. Among the two constructs of the TAM model, perceived usefulness is a stronger predictor of behavioral intention than perceived ease of use. Additionally, subjective norms positively and significantly influence physicians’ intention to use telemedicine and their perception of its usefulness. Furthermore, perceived incentives and accessibility to medical records also positively impact the behavioral intention to use telemedicine.