The main objective of the present study is to examine the impact of job stress, role ambiguity, work–life imbalance and burnout on employee turnover intention. Moreover, the mediating role of burnout between job stress, role ambiguity, work–life imbalance and turnover intention is also examined. The data collection for this quantitative research was conducted through the “Questionnaire” technique. The questionnaire was developed based on previously established questions available in the literature. The data were collected using simple random sampling from the healthcare workers of KSA. From the distributed questionnaire, 73.5% of the usable questionnaires were returned. This study used SPSS and PLS for the analysis of the data to highlight the most significant variables that impact the employees’ turnover intentions among KSA health workers. The findings show that job burnout is clearly related to turnover intentions and is positively affected by both role stress and role ambiguity. Moreover, a statistically positive association is found between work–life imbalance and burnout among the healthcare workers in KSA. Furthermore, the mediating role of burnout is also confirmed in this study. The study also indicates that role ambiguity and role stress due to COVID-19 may create burnout among employees, which may lead to turnover intention among healthcare workers. There is a lack of research on the assessment of the impact of the novel COVID-19-related job stress, role ambiguity and work–life imbalance on the medical staff’s turnover intentions in hospitals. This study fills the gap of the limited studies conducted regarding the identification of the factors that can create turnover intention among healthcare workers of KSA by providing empirical evidence from a Gulf country, Saudi Arabia. This study provides managerial implications for hospital management and health policymakers to develop a strategy to retain the employees. Furthermore, healthcare administrators need to pay close attention to front line workers’ turnover intentions as these medical heroes are the vital part of our society who assist patients to receive their initial treatment during the COVID-19 pandemic.

Introduction: Wearable devices that incorporate artificial intelligence (AI) have revolutionised healthcare through continuous monitoring, early detection, and tailored management of chronic diseases.Methods: This cross-sectional study analysed patients’ perceptions, trust, and awareness of AI-driven wearable health technologies, emphasising the identification of primary facilitators and barriers to adoption. A total of 455 participants, comprising individuals with chronic conditions, were recruited through convenience and stratified sampling methods. Data were collected via an online questionnaire that included demographic questions, Likert-scale items, and multiple-choice questions to evaluate awareness of particular AI features and the functionalities of wearable devices.Results and discussion: The findings indicated predominantly positive perceptions, with most participants concurring that wearable devices improve proactive care, facilitate remote consultations, and deliver precise health insights. Concerns regarding technical failures, data accuracy, and the potential reduction of human interaction were significant. No notable demographic differences were identified; however, participants with chronic conditions expressed more favourable perceptions. The research emphasises the necessity of user education, technical reliability, and professional oversight for the successful integration of AI-powered wearables in the management of chronic diseases.

Background: Mobile health (mHealth) applications have transformed healthcare delivery by enhancing accessibility, patient monitoring, and clinician communication. Despite these advantages, significant barriers hinder their adoption among healthcare practitioners, limiting their effectiveness in primary care settings. Understanding these barriers is crucial for optimizing mHealth integration into healthcare systems. Aim: This study examines healthcare practitioners’ perceptions of barriers to mHealth application adoption, with a focus on the Sehaty app (version 1.3) in Saudi Arabia. It aims to identify key challenges, assess their impact on user engagement and system efficiency, and provide insights for enhancing digital health implementation. Methods: A cross-sectional survey was conducted among 409 primary healthcare practitioners using the Sehaty app. The study employed a structured questionnaire assessing ten major barriers to mHealth adoption, including technical, usability, privacy, and integration challenges. Descriptive statistics, ANOVA, t-tests, and correlation analyses were performed to examine differences across demographic groups and relationships among identified barriers. Results: Findings revealed that technical and usability challenges were the most significant barriers, with system compatibility (Mean = 3.64), slow performance (Mean = 3.43), and excessive task complexity (Mean = 3.45) among the most cited issues. Training and support limitations (Mean = 3.28) and workflow integration difficulties (Mean = 3.24) further hindered adoption. Correlation analysis indicated weak interdependencies among barriers, suggesting that targeted interventions addressing specific concerns may be more effective. ANOVA results showed that digital literacy significantly influenced perceptions of communication barriers (p = 0.046), while gender differences in usability and productivity constraints were marginally significant. Conclusions: The study underscores the necessity for improved system interoperability, user-centered design, and enhanced technical support to promote mHealth adoption. Addressing these challenges through strategic policy initiatives and infrastructure improvements is essential for fostering a more integrated and effective digital healthcare ecosystem.

Wearable devices that incorporate artificial intelligence (AI) have become effective instruments for managing diabetes through real-time monitoring, improved adherence, and increased person with diabetes engagement. Person with diabetes perceptions, adoption barriers, and preferences critically impact the effectiveness and widespread utilisation of these technologies.Aim: The aim of study was to investigate the perceptions of people with diabetes regarding wearable devices, emphasising their perceived advantages, challenges, and potential role in facilitating diabetes self-management.Methods: A cross-sectional study involving 418 people with diabetes was conducted, with participants recruited via online platforms and people with diabetes groups. Data were gathered through a structured questionnaire that included Likert-scale items, multiple-choice questions, and open-ended responses. Descriptive statistics were employed to analyse quantitative data, whereas qualitative responses underwent thematic analysis to discern key trends.Results: Participants demonstrated significant awareness of the primary functions of wearable devices, with 83.9% acknowledging their utility in monitoring glucose levels and physical activity. The primary advantages comprised increased adherence to medication regimens (81.9%) and heightened confidence in diabetes management (82.1%). Significant barriers were identified, including data privacy concerns (79.7%), cost issues (77.0%), and usability challenges (75.1%). Thematic analysis of open-ended responses indicated a demand for features including actionable feedback, integration with healthcare providers, and enhanced usability. Despite these challenges, 81.9% of participants indicated a willingness to adopt AI-integrated wearable devices if recommended by healthcare providers.Conclusion: The findings indicate that people with diabetes regard wearable devices as effective instruments for managing their condition, especially in terms of real-time monitoring and adherence support. Concerns regarding privacy, cost, and device usability must be addressed to enhance adoption rates. These insights can inform the development of patient-centered wearable devices and guide healthcare strategies for the effective integration of these technologies into diabetes care.

Introduction: The introduction of information technology was one of the key priorities for policy-makers in health care organisations over the last two decades due to the potential benefits of this technology to improve health care services and quality. However, approximately 50% of those projects failed to achieve their intended aims. This was a result of several factors, including the cost of these projects. The Saudi Ministry of Health (MoH) planned to implement an electronic health record system (EHRS) in approximately 2100 primary health care centres nationwide. It was acknowledged that this project may face hurdles, which might result in the failure of the project if implementation facilitators were not first determined. According to the Saudi MoH, previous electronic health record system implementation in primary health care centres failed as a consequence of several barriers, such as poor infrastructure, lack of connectivity and lack of interoperability. However, the facilitators of successful electronic health record system implementation in Saudi primary health care centres are not understood.Aim: To determine the facilitators that enhance the success of the implementation of an EHRS in public primary health care centres in SA.Method: A mixed methods approach was used with both qualitative and quantitative methods (qualitative using semistructured interviews and quantitative with a closed survey). The purpose of the utilisation of exploratory mixed methods was to identify a wide range of facilitators that may influence EHRS implementation. The data were obtained from two different perspectives, primary health care centre practitioners and project team members. A total of 351 practitioners from 21 primary health care centres participated in the online survey, and 14 key informants at the Saudi Ministry of Health who were directly involved in the electronic health record system implementation in the primary health care centres agreed to be interviewed face to face.Results: The findings from both studies revealed several facilitators. Among these facilitators, financial resources were found to be the most influential factor that assisted in overcoming some barriers, such as software selection. The size of the primary health care centres was the second facilitator of successful implementation, despite the scale of the project. Perceived usefulness was another facilitator identified in both the interviews and the survey. More than 90% of the participants thought that the electronic health record system was useful and could contribute to improving the quality of health care services. While a high level of satisfaction was expressed towards the electronic health record system’s usability and efficiency, low levels of satisfaction were recorded for organisational factors such as user involvement, training and support. Hence, system usability and efficiency were documented to be other facilitators of successful electronic health record system implementation in Saudi primary health care centres.Conclusion: The findings of the present study suggest that sufficient financial support is essential to enhance the success of electronic health record system implementation despite the scale of the project. Additionally, effective leadership and project management are core factors to overcome many obstacles and ensure the success of large-scale projects.

Background: The COVID-19 pandemic has led to an increase in health information-seeking behavior (HISB) on the Internet.Objective: This review aims to identify and synthesize the available evidence on health information-seeking behavior on the Internet during and after the COVID-19 pandemic.Methods: Electronic search of databases was conducted on PubMed, ScienceDirect, Scopus, and Taylor and Francis Online to identify relevant articles. Studies that examined health information-seeking behavior on the Internet during or after the COVID-19 pandemic were included. Data from the included studies were subjected to a thematic analysis.Results: A total of 355 articles were identified in the initial database search. After screening, 15 articles were included in this review paper, with a population of 33,326. Search engines, social media, and news portals were the most commonly used information sources. The primary motivators for seeking health information online were curiosity, catching up with updated information, and paying attention to the COVID-19 transmission. Participants’ satisfaction with the information obtained online was positive in most studies. The online query for all items related to COVID-19 and health increased during the pandemic. The most searched topics were symptoms of COVID-19, restrictions, current prevalence/spread of COVID-19, and preventive measures. Higher scores in digital health literacy (DHL) were associated with a well-established and effective health information-seeking behavior.Conclusion: The findings of this review provide insight into the patterns and trends of health information-seeking behavior on the Internet during and after the COVID-19 pandemic. The results suggest that search engines, social media, and news portals remain key sources of information during the pandemic. It also assessed the relationship between the DHL and the HISB and found that having a good DHL generally meant a good HISB.