Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

To investigate the associated factors underlying vaccination intentions for Coronavirus Disease 2019 (COVID-19), an online cross-sectional survey was conducted among adults 18 years or over in the Kingdom of Saudi Arabia. Data were collected between 8 and 14 December 2020. A logistic regression analysis was employed to examine and identify the variables associated with vaccination intentions for COVID-19, with the odds ratio (OR) and 95% confidence interval (CI) also calculated. A total of 2137 respondents completed the questionnaire. Overall, about 48% of Saudi adults were willing to receive the COVID-19 vaccine. Participants had stronger intentions to receive a vaccination if they resided in the southern region (OR: 1.95; 95% CI: 1.21–3.14), received the seasonal influenza vaccination in the past (OR: 1.52; 95% CI: 1.17–1.97), believed in mandatory COVID-19 vaccination (OR: 45.07; 95% CI: 31.91–63.65), or reported high levels of concern about contracting COVID-19 (OR: 1.91; 95% CI: 1.29–2.81). Participants were less likely to have an intention to be vaccinated if they had a history of vaccine refusal (OR: 0.28; 95% CI: 0.19–0.40). The low acceptance rate among the Saudi population should be targeted with multifaceted interventions aimed at raising awareness and emphasizing the safety and efficacy of the COVID-19 vaccine.

The pandemic’s context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cross-section design targeted 586 participants from Saudi Arabia. As the study model is complex, the study hypotheses were analysed using the structural equation modelling–partial least squares (SEM-PLS3) approach. The findings support the entire model hypothesis except the link between social media awareness and exposure detection apps’ intention. Mediation of COVID-19 anxiety and influence was confirmed as well. The current paper contributes to the technologies acceptance domain by developing a context-driven model comprising the major pandemic characteristics that lead to various patterns of technology acceptance. This study also fills the literature gap regarding mediating effects of social influence and COVID-19 anxiety in the relationship between trust in government and exposure detection apps implementation, and between COVID-19 anxiety and exposure detection apps implementation, respectively. The results may assist government agencies, health policymakers, and health organisations in the wide world and specifically Saudi Arabia, in their attempts to contain the COVID-19 pandemic spread.

This study examines nurses’ Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses’ CI to use EHRs, including top management support (TMS) and the FFM’s five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses’ CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.

Musculoskeletal pain and disorders (MSDs) constitute a well-recognised occupational hazard to the dental community. Fortunately, they are preventable. Dental office ergonomics plays a key role in addressing these musculoskeletal challenges. An ergonomic improvement project based on Kotter’s eight-step change model management theory was implemented within a dental practice. The project provided valuable evidence-based ergonomic interventions to prevent or reduce MSDs. The task force motivated staff to engage in strategies and interventions to enact an ergonomic vision. This case study represents an action plan to guide this ergonomic change. The key results of this project were an evidence-based ergonomics health promotional brochure, reduced sick leave attributable to MSDs, and workplace ergonomic checkpoints. The ergonomic change model represents an ongoing process where innovative trends and evaluative methods can be supported. Research limitations and practical implications were acknowledged.

Purpose: This study focuses on the concept of medical tourism, its significance, and its implications for the Jordanian health sector. Patients travel to Jordan to seek elective, less expensive medical procedures while having a vacation. Other factors that promote medical tourism include better quality of care, shorter queues, exotic locations, and culture. The Medical Liability Law passed not long ago, further encouraged more patients to seek treatment in Jordan. Medical tourism's contribution to Jordanian GDP is noteworthy; providing economic growth and employment opportunities. Though medical tourism received great recognition, little is said about specific concerns like the brain drain of health workers and incurring high costs on Jordanian citizens. This issue needs further attention. Design/methodology/approach: This research employed qualitative analysis by conducting semi-structured, in-person interviews with ten Jordanian professionals who have an interest in the field of medical tourism. The interviewees included a health marketer, private hospital directors, a health policymaker, a health accreditation expert, a quality assurance manager, and health care professionals. The key participants responded to the same open-ended interview questions. The selected participants represent a diversity of facilitators involved in the medical tourism industry. Interviews were transcribed and correlated with the literature. Findings: The competitive edge of Jordan in medical tourism arises from cost-effective health services, its renowned reputation in healthcare, and the diversity of touristic attractions. Most foreign patients that come to Jordan are from Arab countries. Jordan offers no language barrier and similar culture. The importance of medical tourism to Jordan is reflected in its contribution to the GDP by 3.5 percent or $1 billion. Little attention is drawn to some issues such as brain drain, high-incurring costs, promotional campaigns, medical inequality, and other pitfalls. Practical implications: Health policymakers and health services providers around the globe with similar health systems have expressed interest in facilitating the growth of the medical tourism industry. They should encourage what reduces operational and medical risks that may accompany the medical tourism industry. This paper could provide a better understanding of medical tourism in Jordan as a hot spot in the world for medical tourism. Social implications: Medical tourism can drive a robust social multiplier effect on a nation in terms of enhancing employment generation as well as fostering a culture of innovation and advancement in the field of healthcare and medicine. Originality/value: The interviews and other secondary data sources help shed some insight into the current status and ramifications of medical tourism in Jordan.