Measuring the Impact of Virtual Communities on the Intention to Use Telemedicine Services (original) (raw)
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Virtual communities of patients provide health-related information and mutual support for members. This paper presents a structured analysis of virtual communities of patients and the demand for novel electronic services. Results include success factors of virtual communities of patients, the structural relations between success factors, demand for new and long-term members and newly and long-term affected patients.
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Virtual communities of patients provide health-related information and mutual support for members. This paper presents an analysis of the demand of virtual communities of patients for novel electronic services. Results include the success factors of virtual communities of patients, the demand for electronic services for new and experienced community members and the demand for electronic services for short-term affected and long-term affected patients.
Objective: This study used an adaptation of the Technology Acceptance Model (TAM) to explore the interplay of telehealth perceptions and sociodemographic factors with the perceived ease of use (PEoU) and behavioral intention to use telehealth among primary care clients. Method: A cross-sectional study was conducted at eight Primary healthcare centers (PHCCs) and two referral centers in Riyadh, Saudi Arabia, between May 2021 and July 2021. An online questionnaire was disseminated to collect sociodemographic data, lifestyle and health-related data, levels of communication technology use (LTCU), self- rating of soft skills (SRSS), perception of telemedicine services (PTS, 17 items), PEoU, and behavioral intention to use telemedicine. Scores were calculated on the relevant scales and multivariate stepwise linear regression models were carried out to analyze predictors of PTS, PEoU, and behavioral intention scores. Result: Four hundred and eleven PHCC visitors have participated, 62.3% were males and mean (SD) age was 35.04 (13.90) years. Overall, telehealth was perceived to have relatively positive impact on 9/17 dimensions of care that were related to patient confidentiality, health expenditure, emergency care and public health issues. SRSS score was the only factor independently associated to PTS score (B=0.96, 95% CI=0.57-1.35; p<0.001), while PTS score was the only significant predictor of PEoU score (B=0.07, 95% CI=0.06-0.07; p<0.001). Furthermore, both PTS score (B=0.04; 95%CI=0.03-0.05, p<0.001) and PEoU score (B=0.57, 95%CI=0.49- 0.65; p<0.001) were independently associated with behavioral intention score. Conclusion: Authorities and healthcare providers should implement effective strategies to alleviate the misconceptions about telehealth and enhance the population’s computer self-efficacy to increase effective implementation, optimal utilization, long-term efficacy, and cost-effectiveness of telemedicine in PHCCs. Keywords: telemedicine, perception, acceptance, primacy care, computer, technology, self-efficacy;
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.
The Intention to Use Telemedicine by Surgical Patients in Response to COVID-19
Siriraj Medical Journal, 2022
Objective: This study explored patients' intention to use telemedicine instead of traveling to a hospital during the current global COVID-19 crisis. The framework focused on the relationships between variables derived from the technology acceptance model and the extended unified theory of acceptance and use of technology model. Materials and Methods: Multistage sampling procedures were applied to recruit samples using nonprobability sampling methods. Adult patients who had undergone surgery at a university hospital participated; all were experienced in using online meeting applications and online payment services in their daily lives. Consent forms and online questionnaires were distributed via a Google Forms link. Results: Between October and December 2021, 502 patients undergoing procedures participated in the study. Five variables-social influence, trust, price, perceived usefulness, and perceived ease of use-significantly impacted intention to use. Perceived ease of use significantly impacted perceived usefulness, with a value of 0.679***. In addition, perceived ease of use indirectly influenced intention to use (impact value, 0.103***). Performance expectancy did not significantly impact intention to use, with an impact value of-0.012. Conclusion: The contributions of this study will enable developers, medical professionals, and marketers to improve telemedicine services to better satisfy patients undergoing surgery and increase their intention to use telemedicine. However, the performance expectancy aspect may not warrant patients' intention. Additionally, the research is recommended on other potential variables influencing telemedicine utilization, such as psychological expectations, performance expectations, and technical conditions.
Communities of practice: Telemedicine and online medical communities
Technological Forecasting and Social Change, 2016
E-health and telemedicine have had limited success across the European Union (EU), but using online collaborative technologies to support a community of practice may enable a sustainable healthcare community. In this paper we introduce a virtual medical community that enables geographically-dispersed medical experts to collaborate and share their knowledge in order to improve health care provision. This research confirms that media richness is not required for sustainable communities of practice, that there is greater effectiveness in knowledge sharing when virtual medical communities develop into communities of practice, and that communities of practice are sustainable when shared knowledge enhances medical practice.
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.
Factors Affecting Adoption of Telemedicine for Virtual Healthcare Services in Indonesia
Journal of Information Systems Engineering and Business Intelligence
Background: The utilization of virtual healthcare services, particularly telemedicine, has been accelerated by the COVID-19 pandemic. Although the pandemic is no longer the primary concern, telemedicine still holds potential for long-term adoption. However, implementing telemedicine in Indonesia as an online platform for remote healthcare delivery still faces issues, despite its potential. Further investigation is required to identify the factors that affect its adoption and develop strategies to surmount implementation challenges. Objective: This study aims to examine and enrich knowledge about the adoption of telemedicine in Indonesia. Methods: A cross-sectional survey was conducted through an online questionnaire to collect data. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was employed by integrating with several factors, such as eHealth Literacy, Privacy Concerns, and Trust. Gender and age were considered as moderating variables. Data samples were analyzed usin...