The effect of job and personal demands and resources on healthcare workers' wellbeing: A cross-sectional study.

The COVID-19 pandemic presented many psychological stressors which affected healthcare worker wellbeing. The aim of this study was to understand the factors that affect the wellbeing of healthcare professionals in the Kingdom of Saudi Arabia using Job-Demand and Resource (JD-R) Model. The proposal model consisted of demand factors (Work load-job demand, loneliness-personal demand), support factors (organizational support-job resource, and resilience-personal resource), mediators (burnout and work engagement), and outcome (wellbeing) A cross-sectional, descriptive study was conducted across 276 healthcare workers from hospitals and primary healthcare centers, including healthcare professionals, health associate professionals, personal care workers, health management and support personnel, and health service providers, and others between February-March 2022. The proposed model was tested using partial least squares structural equation modeling. Among the respondents, the majority were female (198, 71,7%), married (180, 65.2%), healthcare professionals (206, 74.6%), being more than 10 years in the profession (149, 51.6%), and non-Saudi nationality (171, 62.0%). Burnout accounted for a significant effect on wellbeing. Of the demands (workload and loneliness) and the resources (organizational support and resilience), workload had the greatest impact on burnout. Healthcare organizations should invest in reducing workloads and promoting resilience to reduce burnout and increase healthcare worker wellbeing.

Perceived barriers and enablers of a personal health record from the healthcare provider perspective.

Personal health records (PHRs) have been implemented around the world as a means to increase the safety, quality, and efficiency of health care. The Ministry of National Guard Health Affairs in the Kingdom of Saudi Arabia launched their PHR in 2018. This study aimed to explore healthcare provider (HCP) perspectives of barriers to and enablers of PHR adoption in Saudi Arabia. The 291 participating HCPs (40.5% nurses, 23.0% pharmacists, 17.2% physicians, 15.5% technicians, and 3.8% other) selected the following as top-3 barriers to PHR adoption: 1) lack of patient awareness (19.4%), 2) patient low literacy (17.7%), and 3) patient resistance to new technologies (12.5%). Of these, 36 responded to the open-ended question gauging feedback on the PHR. Three main themes were identified from the comments: 1) general perceptions of the PHR (positive attitudes, negative attitudes, additional features); 2) patient engagement as a requirement for the successful implementation of the PHR; and 3) education/training of HCPs, patients, and caregivers. This analysis extends our understanding of HCP perspectives of barriers and enablers to PHR adoption. Further qualitative research with patients is required to confirm our findings.

Nurses' Perceptions of Medical Laboratory Scientists: Mistaken Identity and Misplaced Regard.

INTRODUCTION: The medical laboratory science (MLS) profession is an integral part of the healthcare team, providing diagnostic laboratory results used to determine directives in the treatment and management of disease processes. There is a scarcity of literature describing other healthcare professionals' perceptions of medical laboratory scientists. Research also suggests MLS professionals feel unrecognized for contributions to patient care. PURPOSE: A pilot study to describe intensive care unit (ICU) nurses' perceptions of medical laboratory scientists and their role in healthcare. METHODS: Five ICU nurses were interviewed using open-ended questions. Data were analyzed using phenomenological research inquiry to develop themes. RESULTS: Four themes were identified: professional practice, visibility, professional entry, and interprofessional learning. DISCUSSION: While participants were aware of the medical laboratory, they were unaware of the scope of practice, educational requirements, and professional credentials of medical laboratory scientists. Findings also showed misconceptions of the MLS scope of practice that overlaps with phlebotomists and medical laboratory technicians (MLTs). CONCLUSION: This study found that the intensive care nurse participants demonstrated an overall positive perception of medical laboratory scientists but a low level of knowledge of the MLS profession and expertise. Implications for interdisciplinary education to create a more comprehensive healthcare delivery team were presented.

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

BACKGROUND: Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance. OBJECTIVE: The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework. METHODS: Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS. RESULTS: There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (ß = 0.21, p = 0.01) and attitude (ß = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships. CONCLUSION: Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.

Health Care Providers' Acceptance of a Personal Health Record: Cross-sectional Study.

BACKGROUND: Personal health records (PHRs) are eHealth tools designed to support patient engagement, patient empowerment, and patient- and person-centered care. Endorsement of a PHR by health care providers (HCPs) facilitates patient acceptance. As health care organizations in the Kingdom of Saudi Arabia begin to adopt PHRs, understanding the perspectives of HCPs is important because it can influence patient adoption. However, no studies evaluated HCPs' acceptance of PHRs in the Kingdom of Saudi Arabia. OBJECTIVE: The aim of this study was to identify predictors of HCPs' acceptance of PHRs using behavioral intention to recommend as a proxy for adoption. METHODS: This cross-sectional study was conducted among HCPs (physicians, pharmacists, nurses, technicians, others) utilizing a survey based on the Unified Theory of Acceptance and Use of Technology. The main theory constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and positive attitude were considered independent variables. Behavioral intention was the dependent variable. Age, years of experience, and professional role were tested as moderators between the main theory constructs and behavioral intention using partial least squares structural equation modeling. RESULTS: Of the 291 participants, 246 were included in the final analysis. Behavioral intention to support PHR use among patients was significantly influenced by performance expectancy (ß=.17, P=.03) and attitude (ß=.61, P<.01). No moderating effects were present. CONCLUSIONS: This study identified performance expectancy and attitude as predictors of HCPs' behavioral intention to recommend PHR to patients. To encourage HCPs to endorse PHRs, health care organizations should involve HCPs in the implementation and provide training on the features available as well as expected benefits. Future studies should be conducted in other contexts and include other potential predictors.

Predicting Patients' Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis.

BACKGROUND: With the rise in the use of information and communication technologies in health care, patients have been encouraged to use eHealth tools such as personal health records (PHRs) for better health and well-being services. PHRs support patient-centered care and patient engagement. To support the achievement of the Kingdom of Saudi Arabia's Vision 2030 ambitions, the National Transformation program provides a framework to use PHRs in meeting the 3-fold aim for health care-increased access, reduced cost, and improved quality of care-and to provide patient- and person-centered care. However, there has been limited research on PHR uptake within the country. OBJECTIVE: Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework, this study aims at identifying predictors of patient intention to utilize the Ministry of National Guard-Health Affairs PHR (MNGHA Care) app. METHODS: Using secondary data from a cross-sectional survey, data measuring the intention to use the MNGHA Care app, along with its predictors, were collected from among adults (n=324) visiting Ministry of National Guard-Health Affairs facilities in Riyadh, Jeddah, Dammam, Madinah, Al Ahsa, and Qassim. The relationship of predictors (main theory constructs) and moderators (age, gender, and experience with health apps) with the dependent variable (intention to use MNGHA Care) was tested using hierarchical multiple regression. RESULTS: Of the eligible population, a total of 261 adult patients were included in the analysis. They had a mean age of 35.07 (SD 9.61) years, 50.6 % were male (n=132), 45.2% had university-level education (n=118), and 53.3% had at least 1 chronic medical condition (n=139). The model explained 48.9% of the variance in behavioral intention to use the PHR (P=.38). Performance expectancy, effort expectancy, and positive attitude were significantly associated with behavioral intention to use the PHR (P<.05). Prior experience with health apps moderated the relationship between social influence and behavioral intention to use the PHR (P=.04). CONCLUSIONS: This study contributes to the existing literature on PHR adoption broadly as well as in the context of the Kingdom of Saudi Arabia. Understanding which factors are associated with patient adoption of PHRs can guide future development and support the country's aim of transforming the health care system. Similar to previous studies on PHR adoption, performance expectancy, effort expectancy, and positive attitude are important factors, and practical consideration should be given to support these areas.

Clinical Experiences: Navigating the Intricacies of Student Placement Requirements.

Clinical apprenticeships, also called clinical experiences, are integral to most allied health (AH) student professional education. Clinical experiences begin the process of enculturating students into a healthcare profession where higher cognitive mastery of learned skills is supported through social interaction and scaffolding with an AH professional. In AH programs, clinical experiences for students are a necessity for programmatic accreditation; however, clinical sites have developed a range of requirements for students, which lead to a myriad of issues. These requirements may include drug screens, criminal background checks, and HIPAA training prior to a student beginning their clinical experience. Because of differing interpretation of policy, there is variability of requirements imposed on students before beginning these clinical experiences. This variability can create a financial burden on the student, who likely pays out-of-pocket for criminal background checks, vaccines, or drug screens. It also creates an administrative burden for clinical coordinators, who must know what each of the hundreds of clinical sites require, and they must follow up with each site to determine if these requirements have changed. Some strategies exist that may help clinical coordinators to manage clinical site requirements for student placement.