Prevalence of Type 2 Diabetes Mellitus in the General Population of Saudi Arabia, 2000-2020: A Systematic Review and Meta-Analysis of Observational Studies.

Background: The prevalence of type 2 diabetes mellitus (T2DM) has increased worldwide, including in Saudi Arabia. Objective: To systematically review the available literature and assess the pooled prevalence of T2DM in Saudi Arabia between 2000 and 2020. Methods: Observational studies that reported quantitative estimates of the prevalence of T2DM as their main outcome, included the general population of Saudi Arabia, and were published between 2000-2020 and in English were retrieved using three electronic databases (namely, CINAHL, Medline via PubMed, and Web of Science). Retrieved studies were screened, and relevant data were extracted. The Joanna Briggs Institute Critical Appraisal guideline was used to assess the methodological quality of included studies. A random-effects model was used to estimate the prevalence of T2DM. Results: Twenty-three studies were included in the systematic review, of which 19 were included in the meta-analysis (total pooled population: 258,283). The overall pooled prevalence of T2DM in Saudi Arabia was 16.4% (95% CI: 11.6-17.5). However, there was heterogeneity in the results of the studies [I2 = 99.31%, P < 0.0001] and the summary values varied from 3.18% (95% CI: 1.46-5.95) to 94.34% (95% CI: 89.53-97.38). Although the prevalence of T2DM by age varied across studies, in most studies, it was higher among the older age groups. In addition, the prevalence of diabetes widely varied across the different geographical regions of Saudi Arabia. Conclusions: This is the first meta-analysis that determined the pooled prevalence of T2DM in Saudi Arabia, and it revealed a high prevalence over the past two decades. However, owing to data collection inconsistencies in the identified studies, neither the modifiable (such as obesity, educational status, emotional support, etc.) nor the non-modifiable (such as gender and age) risk factors of T2DM could be determined, thereby indicating the need for a nationally collective effort in determining these factors.

The Impact of the Working Hours Among Malaysian Nurses on Their Ill-Being, Intention to Leave, and the Perceived Quality of Care: A Cross-Sectional Study During the COVID-19 Pandemic.

Purpose: This study explores the effect of working duration on nurses and their ill-being (ie, anxiety, depression, fatigue, and sleepiness), intention to leave, and the quality of nursing care. Methods: A questionnaire survey was employed for a convenience sample of 400 nurses at Malacca General Hospital in Malaysia who voluntarily participated in this cross-sectional study. The Statistical Package for the Social Sciences (SPSS) was used to treat and analyze the data. Descriptive statistics were generated, and Post Hoc analyses and ANOVA tests were conducted. Results: Findings indicated that working hours duration was significantly associated with nurses' anxiety (F (4, 394) = 10.362, p <0.001), depression (F (4, 395) = 23.041, p< 0.001), fatigue (F (4, 395) = 24.232, p< 0.001), sleepiness (F (4, 395) = 4.324, p < 0.002), quality of nursing care (F (4, 395) = 16.21, p <0.001) and intention leave their job, (F (4, 395) = 50.29, p <0.001). The results also revealed that working more than 14 hours was negatively associated with their perceived quality of nursing care and positively associated with their perceived ill-being and intention to leave. Conclusion: Shift length is an important issue, and nursing managers must consider shift length as it can adversely correlate with the nurses' perceptions of work and life.

Knowledge sharing behaviour among head nurses in online health communities: The moderating role of knowledge self-efficacy.

BACKGROUND: Head nurses are vital in understanding and encouraging knowledge sharing among their followers. However, few empirical studies have highlighted their contribution to knowledge-sharing behaviour in Online Health Communities (OHCs). In addition, scant literature has examined the moderating role of knowledge self-efficacy in this regard. PURPOSES: This study examines the moderating role of self-efficacy between the association of four selected individual factors of head nurses (i.e., Trust, Reciprocity, Reputation, and Ability to Share) and their knowledge-sharing behaviour in OHCs in Jordan. METHOD: The data were obtained by using a self-reported survey from 283 head nurses in 22 private hospitals in Jordan. A moderation regression analysis using a structural equation modelling approach (i.e. Smart PLS-SEM, Version 3) was utilised to evaluate the study's measurement and structural model. RESULTS: Knowledge self-efficacy moderates the relationship between the three individual factors (i.e., Trust, Reciprocity, and Reputation) and knowledge-sharing behaviours. However, self-efficacy did not moderate the relationship between the ability to share and knowledge-sharing behaviours. IMPLICATIONS: This study contributes to understanding the moderating role of knowledge self-efficacy among head nurses in online healthcare communities. Moreover, this study provides guidelines for head nurses to become active members in knowledge sharing in OHCs. The findings of this study offer a basis for further research on knowledge sharing in the healthcare sector.

The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.

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.

Compliance of non-pharmacological preventive practice of venous thromboembolism among Jordanian nurses.

Many practices, such as non-pharmacological preventive practices, have demonstrated significant improvement and reduced the venous thromboembolism incidence. This study aims at investigating the compliance with non-pharmacological preventive practice of venous thromboembolism guidelines among Jordanian intensive care and medical and surgical nurses. Descriptive and cross-sectional with the non-participant observational design was used. This study recruited 271 registered nurses in adult medical-surgical units and intensive care units of 12 different government hospitals in Jordan's middle and north regions. The observational checklist included 10 preventive practices based on the non-pharmacological preventive of venous thromboembolism guidelines. In the observational checklist, the highest score was 20, and the lowest was 0. If the nurse received equal to or higher than (>14) score were classified as sufficient compliance, while insufficient compliance was (≤14) score. The observations period started from September 2019 until March 2020. The participants' overall mean venous thromboembolism compliance score was insufficient compliance (10.6 ±â€…1.6). The majority of nurses were classified as insufficient compliance 67%. "Doing foot exercise and early ambulation 2 times per day 50.3%" and "checked the integrity of the patient's skin at regular intervals 50.0%" were the highest practices done rightly and completely by half of the participants. The participants who had a bachelor of nursing degree, staff nurse, and works in the intensive care unit, are less experienced and have no previous venous thromboembolism education reported low venous thromboembolism compliance. This study presents expanded compliance regarding venous thromboembolism preventive practices among Jordanian intensive care and medical & surgical nurses, so the policymakers need to develop an initiative to improve nurses' compliance.

Effectiveness of game-based virtual reality phone application and online education on knowledge, attitude and compliance of standard precautions among nursing students.

Game-based virtual reality phone applications can create a realistic environment to prepare for clinical applications and improve students' knowledge of and compliance with standard precautions. An experimental study was performed among 126 nursing students' from the third and fourth nursing levels to determine the effect of online education and game-based virtual reality phone applications related to standard precautions. Students were divided randomly into two groups; the experimental group used online education and game-based virtual reality phone applications, while the control group used traditional education. The study was performed between July and August 2019 to prevent clashes with lectures and midterm and final examinations. A tool package including knowledge, attitude, and compliance with standard precautions was used in pre-and post-tests among nursing students. The results showed that the knowledge of, attitudes towards, and compliance with standard precautions differed between the two groups. The performance of the experimental group of nursing students significantly improved with online instruction and game-based virtual reality phone applications. This study demonstrated the effectiveness of online education and game-based virtual reality phone application among nursing students.

A Change Management Approach to Promoting and Endorsing Ergonomics within a Dental Setting.

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.

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses.

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.

Exposure Detection Applications Acceptance: The Case of COVID-19.

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.

Patient Safety Attitudes among Doctors and Nurses: Associations with Workload, Adverse Events, Experience.

Patient safety concept has achieved more attention from healthcare organizations to improve the safety culture. This study aimed to investigate patient safety attitudes among doctors and nurses and explore associations between workload, adverse events, and experience with patient safety attitudes. The study used a descriptive cross-sectional design and the Turkish version of the Safety Attitudes Questionnaire. Participants included 73 doctors and 246 nurses working in two private hospitals in Northern Cyprus. The participants had negative perceptions in all patient safety domains. The work conditions domain received the highest positive perception rate, and the safety climate domain received the lowest perception rate among the participants. Nurses showed a higher positive perception than doctors regarding job satisfaction, stress recognition, and perceptions of management domains. There were statistically significant differences between experiences, workloads, adverse events, and total mean scores of patient safety attitudes. Policymakers and directors can improve the quality of care of patients and patient safety by boosting the decision-making of health care providers on several domains of safety attitudes. Patient safety needs to be improved in hospitals through in-service education, management support, and institutional regulations.

Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data.

Today, COVID-19-patient health monitoring and management are major public health challenges for technologies. This research monitored COVID-19 patients by using the Internet of Things. IoT-based collected real-time GPS helps alert the patient automatically to reduce risk factors. Wearable IoT devices are attached to the human body, interconnected with edge nodes, to investigate data for making health-condition decisions. This system uses the wearable IoT sensor, cloud, and web layers to explore the patient's health condition remotely. Every layer has specific functionality in the COVID-19 symptoms' monitoring process. The first layer collects the patient health information, which is transferred to the second layer that stores that data in the cloud. The network examines health data and alerts the patients, thus helping users take immediate actions. Finally, the web layer notifies family members to take appropriate steps. This optimized deep-learning model allows for the management and monitoring for further analysis.