Adoption of quick response codes as a digital microlearning tool among clinical nurses: a quasi-experimental study.

BACKGROUND: The rapid growth of technology forced enormous changes in the provision of healthcare services. Different strategies are used to keep nurses up to date with rapid changes in health systems. Microlearning is one of the new methods of teaching professional skills to health workers. This method is effective in care settings that have many limitations in terms of time and place. However, it is very important to test the acceptability of this method among nurses before practical measures are taken for its widespread use. This study aimed to determine nurses' acceptance rate of quick response code as a microlearning tool in workplace. METHOD: This is a cross-sectional study was conducted in medical and surgical wards in hospitals affiliated to Guilan University of Medical Sciences. 185 nurses participated in the study. A number of selected medical devices were labeled with quick response codes containing educational content. The eligible nurses were instructed how to use the QR codes. After two months, they were asked to complete a questionnaire adapted from the technology acceptance model 3. SPSS 21 software was used to analyze the data. RESULTS: 166 nurses and 19 head nurses with mean age of 34.26 ± 8.17 years and mean work experience of 10.46 ± 7.64 years completed the questionnaires. Most participants were female, married, with a bachelor's degree, worked on rotating shifts, in medical wards. The findings showed that the acceptance of the quick response code as a learning tool was at a moderate level (M = 66.1, SD = 16.6). Statistically, there was no significant relationship between nurses' demographic characteristics and the total acceptance rate (P > 0.05). However, the analyses at the multivariate level, using multiple linear regression, showed a significant superiority of the total acceptance score in head nurses compared to nurses (b = 7.97, P = 0.047) and in nurses who had previous experience of using quick response codes, compared to colleagues without such experience (b = 5.18, P = 0.036). Based on the coefficient of determination, only 6.1% of the changes in the total acceptance score of quick response codes of nurses are explained by their personal-occupational characteristics (R2 = 0.061). CONCLUSIONS: The provision of QR code requirements such as necessary infrastructure and training by the health authorities could increase the acceptance of this tool as a microlearning measure.

Satisfaction With Virtual Consultation Services and Associated Factors Among Health Care Providers in Government Health Clinics in Selangor, Malaysia.

BACKGROUND:  In Malaysia, virtual consultation services (VCSs) have been implemented by the Ministry of Health (MOH) since 2019 to complement current healthcare service delivery in government health clinics. Although the services have been proven to benefit patients, little is known about the satisfaction of healthcare providers (HCPs) who run the services. This study utilizes the extended Technology Acceptance Model to evaluate the satisfaction of HCPs with VCS and identify associated factors to further improve these services. OBJECTIVES:  In this study, we aimed to determine the proportion of HCPs who were satisfied with the VCS and identify factors contributing to this satisfaction. METHODOLOGY:  A cross-sectional study was conducted among 42 government health clinics in Selangor, Malaysia, using an online survey comprising a validated questionnaire of the extended Technology Acceptance Model. A total of 137 HCPs from various categories responded to the online survey. Data were analyzed using descriptive statistics and logistic regression. RESULT:  The majority of the respondents (72.3%) were satisfied with the VCSs, with a mean score of 14.47 ± 3.391. Two factors were found to be significantly associated with HCPs' satisfaction: perceived usefulness (adjusted odds ratio = 9.396; 95% confidence interval = 3.196-27.625) and behavioral intention (adjusted odds ratio = 8.311; 95% confidence interval = 2.494-27.694). CONCLUSION:  Our results indicated a moderately high percentage of HCPs in government health clinics of Selangor who were satisfied with VCS (72.3%). Perceived usefulness and behavioral intention of HCPs were two strong determinants of satisfaction with VCS. Therefore, efforts should be directed toward improving satisfaction with VCS by addressing these factors to ensure the sustainability of these services to best benefit patients.

Technology acceptance of the video game-based swallowing function training system among healthcare providers and dysphagia patients: A qualitative study.

Objective: Dysphagia is highly prevalent worldwide, causing serious complications. Video-game based rehabilitation training can increase dysphagia patient motivation and adherence. However, the acceptance of video game systems by patients and healthcare providers is still not fully explored. This study aimed to explore the acceptance of the video game swallowing training system among potential users. Methods: The in-depth interviews were conducted face-to-face between July and October 2023 at a rehabilitation center in China, with a sample size based on the principle of information saturation. Interviews were audio-recorded and transcribed verbatim, and the data were analyzed using theory-driven thematic analysis methods based on the technology acceptance model. Results: A total of 19 participants participated in the interviews, which included 11 hospitalized dysphagia patients, three rehabilitation therapists, one doctor, and four nurses. Three themes and seven subthemes were identified. Sufficient training content, interesting interaction between the game and the rehabilitation training, intuitive page design, and efficient training modes were related to the usefulness of the system; user-friendly page design and simple interface could make it easier for participants to use the system. Overall, the availability of the video game system for use without geographical or time limitations led to a high level of participant intention to use the system, but it is still challenging to use it in the real world. Conclusions: The results of the study showed that participants were generally accepted and willing to use the video game system for dysphagia rehabilitation training. The video game-based swallowing function training system can be helpful in assisting with dysphagia rehabilitation.

Designing and deploying caller tunes on mobile phones to promote malaria vaccine uptake in Africa: can the technology acceptance model (TAM) help?

Malaria remains a significant global health challenge, with millions of cases and high mortality rates annually, especially in low-income countries. Africa bears a substantial burden, with direct costs of malaria among children under five reaching millions of dollars in countries like Ghana, Tanzania, and Kenya. In 2021, over 610,000 malaria-related deaths were reported, 96% of which occurred in sub-Saharan Africa. Despite existing interventions, such as long-lasting insecticidal nets, indoor residual spraying, and intermittent preventive treatment, the re-emergence of malaria underscores the need for innovative preventive strategies. This study explores the potential of utilizing mobile phone caller tunes to raise awareness and promote the uptake of the RTS,S malaria vaccine. The technology acceptance model (TAM) provides a framework for understanding how users perceive and adopt new technologies. Caller tunes, a mobile phone feature that plays audio for callers waiting to be connected, have been effective in health communication campaigns in Asia and Africa. This approach could be leveraged to enhance malaria vaccine awareness, particularly in low-income countries where vaccine hesitancy is prevalent and malaria endemic. Overall, mobile technologies have significantly improved healthcare delivery in Africa, facilitating communication, monitoring, and treatment adherence in remote areas. Integrating caller tunes with health messages about the malaria vaccine could address vaccine hesitancy and improve uptake. This would require collaboration with telecommunication companies, healthcare providers, and policymakers to design culturally and linguistically appropriate messages. However, the cost of caller tune services, the need for internet access, and cultural differences are the expected challenge that may occur in this approach. Therefore, strategic partnerships and intersectoral approaches can mitigate these issues, making caller tunes a viable tool for public health communication. Raising awareness through this innovative method could enhance the adoption of the RTS,S vaccine and support ongoing malaria control efforts in Africa.

Assessing clinical medicine students' acceptance of large language model: based on technology acceptance model.

While large language models (LLMs) have demonstrated significant potential in medical education, there is limited understanding of medical students' acceptance of LLMs and the factors influencing their use. This study explores medical students' acceptance of LLMs in learning and examines the factors influencing this acceptance through the lens of the Technology Acceptance Model (TAM). A questionnaire survey conducted among Chinese medical students revealed a high willingness to use LLMs in their studies. The findings suggest that attitudes play a crucial role in predicting medical students' behavioral intentions to use LLMs, mediating the effects of perceived usefulness, perceived ease of use, and perceived risk. Additionally, perceived risk and social influence directly impact behavioral intentions. This study provides compelling evidence supporting the applicability of the TAM to the acceptance of LLMs in medical education, highlighting the necessity for medical students to utilize LLMs as an auxiliary tool in their learning process.

The Perception of Consumer Behaviors in Subscription Platforms for Surplus Food Restaurants-An Analytical View of the Technology Acceptance Model.

Subscription services have become popular in recent years, breaking the traditional business model of one-time payment and prompting operators to build long-term loyal relationships with their customers. As smartphones are popular in Taiwan and the Taiwanese have a high acceptance of new technologies, is it possible for domestic restaurants to reach a win-win situation for both consumers and restaurant operators and to reduce food waste through subscription services? The Technology Acceptance Model was used in this study to explore consumers' perceived usefulness, perceived ease of use, and attitudes toward restaurant subscription platforms, with two variables, new environmental paradigm and environmental behavior, added to probe the relations with intention to use. This study was conducted by convenience and snowball sampling, and the subjects were consumers eating out. A total of 400 questionnaires were collected and 369 valid ones were returned, with a response rate of 92.25%. The results show that perceived usefulness, perceived ease of use, new environmental paradigm, environmental behaviors, and attitude toward using have significant positive effects, and attitude toward using has the same effect on intention to use. In addition, attitude toward using has a mediating effect on perceived usefulness, new environmental paradigm, environmental behavior, and intention to use. Finally, it is expected that the results of this study can be used as a reference for restaurant operators to adopt subscription services in order to build long-term and stable relationships with consumers. Furthermore, new entrepreneurs can also evaluate the feasibility of building a subscription platform like this one, which can provide a convenient and economical option for consumers dining out, as well as reduce food waste.

Research on designers' behavioral intention toward Artificial Intelligence-Aided Design: integrating the Theory of Planned Behavior and the Technology Acceptance Model.

Artificial Intelligence-Aided Design (AIAD) has numerous advantages and tremendous benefits for designers. However, not all designers are keen to integrate AIAD into their workflow, and their intention to use AIAD remains a research gap. This study explores designers' adoption of AIAD, utilizing the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM). Drawing on extant literature, we proposed a research model and tested it using data from 392 Chinese designers. The results indicate that in terms of AIAD, (a) designers' attitudes toward AIAD (b = 0.259, p < 0.001), subjective norms (b = 0.363, p < 0.001), and perceived behavioral control (b = 0.556, p < 0.001) have significant and positive impacts on their intention to use AIAD; (b) perceived usefulness of AIAD (b = 0.910, p < 0.001) has a positive and significant correlation with attitudes toward AIAD while perceived ease of use (b = -0.126, p < 0.05) exerts no significant impact on attitudes; (c) the knowledge level of designers (b = -0.149, p < 0.01) has a negative moderating effect on the impact of attitudes toward AIAD on the intention to use them. The present research then discusses its practical significance.

Preparing for aging: Understanding middle-aged user acceptance of AI chatbots through the technology acceptance model.

Background: Preparing for aging with personalized technology is crucial due to the growing elderly population. Artificial Intelligence (AI), notably AI chatbots in healthcare, has transformed technology by simulating human-like conversations. Research on middle-aged adults' acceptance of AI chatbots is limited. Assessing middle-aged individuals' intentions to use AI is vital for enhancing AI competency among the elderly and guiding future interventions. Objective: This study aims to explore the acceptance of middle-aged individuals toward AI chatbots and influencing factors and verify the usability of Technology Acceptance Model 2 (TAM2) in the use of AI technology in middle-aged people, also to inspire the design of future intelligent systems and online interventions for improving the health and well-being of the aging population. Methods: A cross-sectional design and snowball sampling method were utilized to conduct an online questionnaire survey among middle-aged adults. The questionnaire was compiled based on TAM2 and was created using the online survey platform. SPSS 26.0 software was used for statistical analysis. Results: A total of 259 valid questionnaires were included in the final data analysis. The study reported the Cronbach's α of 0.94 for the questionnaire. We found that perceived ease of use, subjective norm, and user image significantly influence users' intention to use AI chatbots. Notably, perceived usefulness emerged as a complete mediator in the relationship between subjective norm and intention to use, highlighting its central role in shaping user perceptions. The study also revealed a moderate acceptance level among middle-aged adults, emphasizing the need for targeted interventions. Conclusions: This study emphasized the importance of customizing AI technology to improve its adoption among middle-aged adults, providing valuable guidance for developers and policymakers. The findings indicated the need for effective aging preparation that includes technological competency, suggesting that future planning should encompass comprehensive preparations for aging to enhance AI competency among the middle-aged population.

Exploring generative AI in higher education: a RAG system to enhance student engagement with scientific literature.

Introduction: This study explores the implementation and evaluation of OwlMentor, an AI-powered learning environment designed to assist university students in comprehending scientific texts. OwlMentor was developed participatorily and then integrated into a course, with development and evaluation taking place over two semesters. It offers features like document-based chats, automatic question generation, and quiz creation. Methods: We used the Technology Acceptance Model to assess system acceptance, examined learning outcomes, and explored the influence of general self-efficacy on system acceptance and OwlMentor use. Results: The results indicated complex relationships between perceived ease of use, perceived usefulness, and actual use, suggesting the need for more dynamic models of system acceptance. Although no direct correlation between OwlMentor use and learning gains was found, descriptive results indicated higher gains among users compared to non-users. Additionally, general self-efficacy was strongly related to perceived usefulness, intention to use, and actual use of the system. Discussion: These findings highlight the importance of aligning AI tools with students' needs and existing learning strategies to maximize their educational benefits.

The adoption of self-service check-in kiosks among commercial airline passengers.

This study examines passenger adoption of self-service check-in kiosks based on the technology acceptance model (TAM) and its extension. This study investigated the relationships between three independent variables (technology self-efficacy, need for human interaction, and perceived enjoyment) and two TAM's cognitive variables (perceived usefulness and ease of use). The analysis of these relationships is novel in aviation self-service technology research. Structural equation modeling (SEM) was employed to analyze 346 valid responses. The analysis reveals that enjoyment enhances the perception of self-service check-in kiosks as useful and easy to use, resulting in greater intention to use them. Moreover, passengers with higher confidence in their technological self-efficacy are more likely to perceive check-in kiosks as helpful. However, passengers may perceive kiosks as less useful when they require more human interaction. The results of this study contribute to the current knowledge on aviation self-service adoption. Additionally, managerial implications are offered to improve the future of airlines' passenger services.

Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry.

In complementing our existing knowledge of blockchain technology adoption in the construction industry, this research investigated how the Technology Acceptance Model (TAM) applies to adopting blockchain technology among Saudi Arabian Construction companies. This study utilized cross-sectional data collection, causal research design, a quantitative research approach, and a simple random sampling technique to collect data from 248 Saudi Arabian construction companies. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyze the data. The results showed that attitude toward adopting Blockchain (ATT) and perceived ease of use (PEU) are good predictors of behavioural intention to adopt Blockchain. The findings showed that when construction companies perceive the ease of use of Blockchain, they intend to adopt the technology. Attitude toward adopting Blockchain, directly and indirectly, influences behavioural intention to adopt the Technology. However, top management support only directly leads to intention once the companies perceive the usefulness of blockchain technology. This paper complements the existing literature on adopting Blockchain in the Saudi Arabian construction industry. The study provides insight into the influence of top management support, attitude toward adoption, and perceived ease of use in the blockchain adoption process.

Perceptions of ChatGPT in healthcare: usefulness, trust, and risk.

Introduction: This study explores the perceptions of ChatGPT in healthcare settings in Taiwan, focusing on its usefulness, trust, and associated risks. As AI technologies like ChatGPT increasingly influence various sectors, their potential in public health education, promotion, medical education, and clinical practice is significant but not without challenges. The study aims to assess how individuals with and without healthcare-related education perceive and adopt ChatGPT, contributing to a deeper understanding of AI's role in enhancing public health outcomes. Methods: An online survey was conducted among 659 university and graduate students, all of whom had prior experience using ChatGPT. The survey measured perceptions of ChatGPT's ease of use, novelty, usefulness, trust, and risk, particularly within clinical practice, medical education, and research settings. Multiple linear regression models were used to analyze how these factors influence perception in healthcare applications, comparing responses between healthcare majors and non-healthcare majors. Results: The study revealed that both healthcare and non-healthcare majors find ChatGPT more useful in medical education and research than in clinical practice. Regression analysis revealed that for healthcare majors, general trust is crucial for ChatGPT's adoption in clinical practice and influences its use in medical education and research. For non-healthcare majors, novelty, perceived general usefulness, and trust are key predictors. Interestingly, while healthcare majors were cautious about ease of use, fearing it might increase risk, non-healthcare majors associated increased complexity with greater trust. Conclusion: This study highlights the varying expectations between healthcare and non-healthcare majors regarding ChatGPT's role in healthcare. The findings suggest the need for AI applications to be tailored to address specific user needs, particularly in clinical practice, where trust and reliability are paramount. Additionally, the potential of AI tools like ChatGPT to contribute to public health education and promotion is significant, as these technologies can enhance health literacy and encourage behavior change. These insights can inform future healthcare practices and policies by guiding the thoughtful and effective integration of AI tools like ChatGPT, ensuring they complement clinical judgment, enhance educational outcomes, support research integrity, and ultimately contribute to improved public health outcomes.

Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods.

BACKGROUND: Electronic medical record (EMR) systems are essential in health care for collecting and storing patient medical data. They provide critical information to doctors and caregivers, facilitating improved decision-making and patient care. Despite their significance, optimizing EMR systems is crucial for enhancing health care quality. Implementing the Observational Medical Outcomes Partnership (OMOP) shared data model represents a promising approach to improve EMR performance and overall health care outcomes. OBJECTIVE: This study aims to evaluate the effects of implementing the OMOP shared data model in EMR systems and to assess its impact on enhancing health care quality. METHODS: In this study, 3 distinct methodologies are used to explore various aspects of health care information systems. First, factor analysis is utilized to investigate the correlations between EMR systems and attitudes toward OMOP. Second, the best-worst method (BWM) is applied to determine the weights of criteria and subcriteria. Lastly, the decision-making trial and evaluation laboratory technique is used to illustrate the interactions and interdependencies among the identified criteria. RESULTS: In this research, we evaluated the AliHealth EMR system by surveying 98 users and practitioners to assess its effectiveness and user satisfaction. The study reveals that among all components, "EMR resolution" holds the highest importance with a weight of 0.31007783, highlighting its significant role in the evaluation. Conversely, "EMR ease of use" has the lowest weight of 0.1860467, indicating that stakeholders prioritize the resolution aspect over ease of use in their assessment of EMR systems. CONCLUSIONS: The findings highlight that stakeholders prioritize certain aspects of EMR systems, with "EMR resolution" being the most valued component.

Perceptions and Satisfaction With the Use of Digital Medical Services in Urban Older Adults of China: Mixed Methods Study.

BACKGROUND: In an aging and information-driven society, older adults have distinct perceptions of and specific demands for digital medical services. It is essential for society to understand these needs and develop a more thoughtful approach to digital health care. OBJECTIVE: This study aims to evaluate the behavioral intention and satisfaction of older adults with digital medical services by identifying the perceived factors and the pathways through which these factors influence their behavior. METHODS: This study used a mixed methods approach, combining qualitative and quantitative analyses. A focus group interview was conducted with 30 randomly selected older adults, and the interviews were transcribed verbatim and coded using grounded theory. In addition, 876 valid questionnaires were collected to describe older adults' perceptions of and satisfaction with digital medical care. Then, t tests and ANOVA were used to explore differences among various demographic groups, while hierarchical multiple regression was conducted to identify the factors most closely related to satisfaction. Structural equation modeling was used to identify multiple mediating effects. RESULTS: The qualitative study identified the core category of "medical service relief and transformation paths for older adults in the context of digital reform." Quantitative analysis revealed that more than half of the older adults were satisfied with digital medical services, and behavioral intentions were higher among those with higher incomes and education levels. Structural equation modeling confirmed that external variables, such as digital skills training, positively influenced perceived ease of use (ß=.594, P<.001), perceived usefulness (ß=.544, P<.001), and promoted digital medical behavioral intentions (ß=.256, P<.001), while also reducing perceived risk (ß=-.295, P<.001). Additionally, perceived ease of use (ß=.168, P<.001) and perceived usefulness (ß=.508, P<.001) positively impacted behavioral intention, whereas perceived risk (ß=-.05, P=.037) exerted a negative influence. Furthermore, behavioral intention (ß=.641, P<.001) significantly and positively affected older adults' satisfaction with digital medical care. The mediation test identified 4 significant paths: (1) external variables → perceived ease of use → behavioral intention (effect size of 13.9%); (2) external variables → perceived usefulness → behavioral intention (effect size of 38.4%); (3) external variables → perceived ease of use → perceived usefulness → behavioral intention (effect size of 10.1%); and (4) a direct effect (35.5%) from external variables to behavioral intention. CONCLUSIONS: Based on the study's findings, addressing the needs of older adults and enhancing perceived usefulness are the most effective ways to encourage the use of digital health care devices. Community support plays a crucial role in helping older adults integrate into digital health care, and adapting the design of services and products to suit their needs improves their perceptions of digital health care. This, in turn, promotes usage behavior and satisfaction, while the negative impact of perceived risk remains minimal.

Effects of game-based learning on academic outcomes: A study of technology acceptance and self-regulation in college students.

Objective: This study investigates the interplay between the Technology Acceptance Model (TAM), self-regulation strategies, and academic self-efficacy, and their collective impact on academic performance and perceived learning among college students engaged in remote education. Methods: A sample of 872 university students from Southern China participated in this study. Structural Equation Modeling (SEM) was employed to analyze the theoretical relationships among the variables. The research focused on two primary areas: the connection between academic self-efficacy and gameful self-regulation strategies within the framework of TAM, and the influence of TAM's three dimensions on students' perceived learning and academic performance. Results: Findings highlight self-efficacy and gameful self-regulation strategies, in enhancing technology acceptance. Improved acceptance of technology is shown to positively affect academic performance and the perceived learning experience of students in classes using game-based online resources. Conclusion: The study emphasizes the significance of self-efficacy and gameful self-regulation strategies in shaping students' perceptions and attitudes towards technology. These factors are found to be key determinants of both perceived learning and academic achievement in the context of game-based online resource classes.

Immersive medical training: a comprehensive longitudinal study of extended reality in emergency scenarios for large student groups.

Young healthcare professionals and medical graduates often fall short in the practical experience necessary for handling medical emergencies. This can not only lead to strained feelings of inadequacy and insecurity among future physicians and less experienced healthcare providers in general, but also to detrimental outcomes for patients as emergency medicine demands rapid decision-making with low tolerance for errors. New didactic modalities and approaches may be needed to effectively address this shortcoming. Immersive technologies are powerful novel educational tools with untapped potential in medical training, and may be particularly suitable for simulation trainings in the high-stakes field of emergency medicine.Herein, we systematically explored the educational potential of extended reality (XR) technology, particularly virtual reality (VR), in the management of patients presenting as medical emergencies, combining the use of the STEP-VR application with an untethered hardware setup.Importantly, we aimed at studying multiple, large cohorts of senior medical students involving a total of 529 participants and collecting data over a period of two years. We assessed students' acceptance of the training through a modified questionnaire measuring device handling, content complexity, degree of immersion, learning success, and seminar design.Our results show high, sustained acceptance and ease of use across different student cohorts and subgroups, with most students finding XR/VR engaging and beneficial for acquiring emergency medicine skills. Importantly, the prevalence of simulation sickness was minimal. Moreover, no major effect of the head-mounted displays (HMDs) price range was noted with regard to the learning experience. The results underscore the potential of XR/VR capabilities in effectively enhancing medical education, particularly in areas of high-stakes clinical scenarios and emergency care, by providing realistic and reproducible immersive training environments.In summary, our findings suggest that XR/VR-based training approaches could significantly contribute to preparing future physicians for the complexities of emergency medical care, encouraging the integration of such technologies into medical curricula. However, careful consideration must be given to its suitability for all students and the practical challenges of its implementation, highlighting the need for further research to harness its full potential for medical education.

Understanding hepatitis E vaccination intention among women of childbearing-age: A theory-based cross-sectional study.

OBJECTIVES: The purpose of this study was to investigate the HEV vaccination intention, its determinants, and overall influence mechanisms among childbearing-age women. METHOD: The current study was cross-sectional and conducted online from June 25, 2023 to September 25, 2023 in Nanjing, China. Logistic regression models were constructed to identify the intention-associated background factors. Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) were integrated and expanded as TAM-TPB model to further investigate the determinants and overall influence mechanism of HEV vaccination intention among this population using structural equation modeling. RESULTS: A total of 423 eligible participants were included in this study. High general HEV knowledge was independently associated with an increased intention to get HEV vaccination (OR = 1.97, 95 % CI: 1.11-3.58, P = 0.023). All the hypotheses proposed in the theoretical TAM-TPB model were supported, with perceived ease of use, perceived usefulness, attitude, subjective norm, and perceived behavioral control positively affecting the intention of HEV vaccination (all P values <0.05), while perceived risk (P = 0.003) exhibited an inverse association with HEV vaccination intention. The model achieved an acceptable fit, and the total explained variance of HEV vaccination intention was as high as 86.20 %. Moreover, no significant common method bias was observed. CONCLUSION: This is the first theory-based study that explored the HEV vaccination intention, its determinants, and overall influence mechanism among childbearing-age women. The results of the current study are of great importance for improving the understanding of the HEV vaccination intention among females of childbearing age.

Perceptions of Telehealth Services Among Rural Lung Cancer Patients in China: A Qualitative Study Using the Technology Acceptance Model.

OBJECTIVES: To describe the perceptions of telehealth services among lung cancer patients in rural areas of China, as well as to explore the potential of telemedicine to improve long-term health recovery at home for rural lung cancer patients. METHODS: A qualitative descriptive study design was used in this study and we conducted semi-structured interviews with 14 rural Chinese lung cancer patients between December 2022 and March 2023. Interview content was analyzed using Nvivo software and a framework analysis was performed using the Technology Acceptance Model to identify meaningful themes. RESULTS: Participants identified perceptual and technical factors related to perceived ease of use, benefits and drawbacks related to perceived usefulness, and facilitators and barriers related to intention to use. However, regional and disease features including literacy barriers, medical insurance condition, symptom burden, and rural cultural health seeking behavior conduct must be taken into account. CONCLUSIONS: Lung cancer patients in rural China believe that telehealth services could be an alternative solution for addressing health and care needs, but various aspects, such as user interface design, cost-effectiveness, and technological anxiety, need to be optimized. IMPLICATIONS FOR NURSING PRACTICE: More highly specialized nursing team, friendly telecare lung function modules, and media technology training courses should be developed for rural lung cancer patients to enhance the quality of their home care, meet their information needs and better control their disease progression.

Use of TAM Questionnaire for Telemedicine and IT Healthcare Systems.

A quality systematic literature review was conducted about the use of TAM questionnaire for Telemedicine and IT healthcare systems worldwide by health professionals to investigate most valuable predictors for IT systems acceptance and possible parameters that influence them. The results highlight that perceived usefulness and perceived ease of use are the most important predictors and the development of the tool should also involve individual, social and organizational factors.

Exploring the Sociodemographic and Health-Related Determinants of Telehealth Use Among a Cohort of Older Australians During the COVID-19 Pandemic: Repeated Cross-Sectional Study.

BACKGROUND: During the COVID-19 pandemic, there was a rapid adoption of telehealth care services as a public health strategy to maintain access to essential health care. In Australia, there has been increasing optimism for the expansion of telehealth services. However, little is known about the patterns and determinants of telehealth adoption among older adults, with concerns that an expansion of telehealth services may only be of benefit to those who already have better access to health care. OBJECTIVE: Leveraging data collected by The Sax Institute's 45 and Up COVID Insights study between November 2020 and April 2022, the objective of this study was to identify and describe the sociodemographic and health-related determinants of telehealth adoption and use among a cohort of older Australians. We hypothesized that health-related factors would be key determinants of telehealth adoption for Australians aged ≥65 years during the COVID-19 pandemic. METHODS: A repeated cross-sectional design was used. The relationships between telehealth use (classified as low, moderate, or high) and selected sociodemographic and health-related characteristics were assessed using logistic regression techniques. Variable selection and findings were situated within the Technology Acceptance Model, the Unified Theory of Acceptance, and the Use of Technology theoretical frameworks. RESULTS: Of the 21,830 participants aged ≥65 years, the proportion who indicated adopting telehealth ranged from 50.77% (11,082/21,830) at survey 1 in 2020 to 39.4% (7401/18,782) at survey 5 in 2022. High levels of telehealth use were associated with being female, aged <85 years, living in a major city, cohabiting with others, and being from the most socioeconomically disadvantaged areas (deciles 1-3). Individuals with a disability, chronic disease, multimorbidity, and lower perceived quality of life and those experiencing missed or delayed care were significantly more likely to use telehealth across all levels (P<.001). A temporal association was observed, whereby participants who engaged with telehealth services before or early in the pandemic (as assessed in survey 1) were more likely to continue telehealth use when assessed in survey 5 in 2022 (P<.001). CONCLUSIONS: This research contributes to the broader understanding of telehealth adoption and use among older adults. As telehealth models of care expand, there is an opportunity to tailor these services to the needs of older adults, particularly those living with chronic diseases and multimorbidity, by using targeted strategies that overcome barriers to accessing specialized health care services.