Conceptualization and establishment of value-based healthcare in Saudi Arabia: A scoping review.

Objectives: Value-based healthcare (VBHC) represents a paradigm shift in healthcare delivery through optimizing patient outcomes relative to the costs of achieving those outcomes. This scoping review is aimed at revealing critical insights into the conceptualization and establishment of VBHC in the context of Saudi Arabia, a nation in a critical stage of healthcare transformation. Methods: A scoping review was conducted by using online databases and official websites with a timeframe of 2017-2023. This review included 14 pieces of literature, comprising six research articles, six government documents, and two reports. Results: The findings highlight increasing alignment with the definition of global VBHC principles, notably the emphasis on patient outcomes as a primary metric of healthcare value. Furthermore, financial reform has signaled a real move toward VBHC in the Kingdom, through a gradual shift from volume-based payments to value-based payments. However, the diverse interpretations and applications of VBHC across the examined literature indicate a promising stage of implementation characterized by evolving definitions and practices tailored to local needs and constraints. Conclusion: This scoping review describes the current landscape of VBHC conceptualization and establishment, highlighting the substantial progress achieved and the future challenges.

Predicting Multimorbidity Using Saudi Health Indicators (Sharik) Nationwide Data: Statistical and Machine Learning Approach.

The Saudi population is at high risk of multimorbidity. The risk of these morbidities can be reduced by identifying common modifiable behavioural risk factors. This study uses statistical and machine learning methods to predict factors for multimorbidity in the Saudi population. Data from 23,098 Saudi residents were extracted from the "Sharik" Health Indicators Surveillance System 2021. Participants were asked about their demographics and health indicators. Binary logistic models were used to determine predictors of multimorbidity. A backpropagation neural network model was further run using the predictors from the logistic regression model. Accuracy measures were checked using training, validation, and testing data. Females and smokers had the highest likelihood of experiencing multimorbidity. Age and fruit consumption also played a significant role in predicting multimorbidity. Regarding model accuracy, both logistic regression and backpropagation algorithms yielded comparable outcomes. The backpropagation method (accuracy 80.7%) was more accurate than the logistic regression model (77%). Machine learning algorithms can be used to predict multimorbidity among adults, particularly in the Middle East region. Different testing methods later validated the common predicting factors identified in this study. These factors are helpful and can be translated by policymakers to consider improvements in the public health domain.

Impact of the COVID-19 pandemic on physical therapy practice in Saudi Arabia.

PURPOSE: The new Coronavirus (COVID-19) pandemic has caused significant impact on the medical sector worldwide, including physical therapy (PT). The purpose of this study was to investigate the impact of the COVID-19 pandemic on the PT services, and the associated psychological distress endured by PT practitioners in Saudi Arabia. METHODS: A cross-sectional study was conducted to survey on-duty PT practitioners using a web-based questionnaire. Licensed PT practitioners working in Saudi Arabia (n = 265) participated and completed all the survey questions. The questionnaire comprised 30 questions covering the sociodemographic data and the outcome measures, which included the impact of the pandemic on the PT practice, use of telerehabilitation, administrative response during the pandemic, and PT practitioners' anxiety measured by the General Anxiety Disorder-7 scale. RESULTS: During the lockdown, disruptive impact on the PT practice was reported by most of the participants (80%). The majority of PT clinics/departments were either partially (43.8%) or completely (31.3%) shutdown, and therapists treated patients less than usual. Around 30% of participants reported using a telerehabilitation approach during the pandemic to communicate with patients, and about 33% received online courses and webinars to adapt the PT practice in response to the pandemic. About 21% of participants endured moderate to severe levels of anxiety, which was more pronounced among females. CONCLUSION: The COVID-19 pandemic significantly impacted the PT services in Saudi Arabia. Consequently, the number of patients treated was reduced, and therapists suffered notable psychological stress. Furthermore, although implemented, adaptive administrative measures were inadequate. Physical therapy practitioners and administrative authorities are encouraged to prioritize training and implementation of telerehabilitation as a likely prospective approach of PT practice.

Factors that influence quality of life in patients with multiple sclerosis in Saudi Arabia.

PURPOSE: To study the factors which may contribute to quality of life (QOL) in patients with multiple sclerosis (pwMS) in Saudi Arabia. METHODS: 175 pwMS and 71 age-, gender-, and BMI-matched healthy subjects participated in this cross-sectional study. QOL was studied by the multiple sclerosis quality of life-54 (MSQOL-54) while depression, disability, and fatigue were measured by the beck depression inventory-II (BDI-II), the expanded disability status scale (EDSS), and the modified fatigue impact scale (MFIS), respectively. The effects of demographic and clinical characteristics on MSQOL-54 were studied. RESULTS: QOL was worse in pwMS. A better QOL in pwMS was linked to being male, having relapsing-remitting MS, having lower BMI, being employed, having a low disability, having no or minimal depression, and not fatigued. Age, disease duration, marital status, living status, and level of education did not affect the QOL. QOL showed a moderate to strong correlation with depression and fatigue and a weak correlation with EDSS. Depression and fatigue were the strongest predictors of QOL. Other predictors included gender and BMI but not EDSS. CONCLUSIONS: Many of the factors which seem to influence QOL in pwMS are modifiable. Evaluation and management of such factors may improve QOL in pwMS.Implications for rehabilitationAssessment of QOL (using a proper tool) should be part of every pwMS evaluation.Depression and fatigue are the main predictors of QOL in pwMs, therefore, attention should be paid for their evaluation and management.Sexual dysfunction and pain should be assessed and managed early in the course of the disease.

Occupational Safety Climate and Hazards in the Industrial Sector: Gender Differences Perspective, Saudi Arabia.

Background: Occupational Health and Safety (OHS) has become a growing public health concern worldwide. A considerable body of literature has been generated around the theme of safety climate perceptions and occupational hazards, as many researchers have examined perceptions of the occupational safety climate in relation to organizational hierarchy. But there is an urgent need to address safety problems associated with gender differences, especially in Saudi Arabia, where women have only recently begun to work in the industrial field. Therefore, this study aims to assess workers' perceptions of the safety climate and OHS hazards and identify gender differences among workers. Methods: A cross-sectional study was carried out, using the Nordic Occupational Safety Climate Questionnaire (NOSACQ-50) to assess seven dimensions of safety climate perception and a standardized structured questionnaire adapted from the National Institute of Occupational Health to assess occupational hazards. Results: The results indicated that respondents perceived only one dimension of their relevant occupational safety climates positively. "Peer safety communication, learning, and trust in co-workers". Workers experienced a range of different occupational hazards in factories, with noise being the most common. There were significant differences (<0.05) between females and males in the areas of safety priority and risk non-acceptance. Women were more likely to experience ergonomic problems than their male counterparts. Conclusion: The present study concludes that industries need to comply with national and international OHS standards and rules, especially related to gender perspectives and hazards, as well as provide proper occupational health services in their factories.

Prediction of generalized anxiety levels during the Covid-19 pandemic: A machine learning-based modeling approach.

The rapid spread of the Covid-19 outbreak led many countries to enforce precautionary measures such as complete lockdowns. These lifestyle-altering measures caused a significant increase in anxiety levels globally. For that reason, decision-makers are in dire need of methods to prevent potential public mental crises. Machine learning has shown its effectiveness in the early prediction of several diseases. Therefore, this study aims to classify two-class and three-class anxiety problems early by utilizing a dataset collected during the Covid-19 pandemic in Saudi Arabia. The data was collected from 3017 participants from all regions of the Kingdom via an online survey containing questions to identify factors influencing anxiety levels, followed by questions from the GAD-7, a screening tool for Generalized Anxiety Disorders. The prediction models were built using the Support Vector Machine classifier for its robust outcomes in medical-related data and the J48 Decision Tree for its interpretability and comprehensibility. Experimental results demonstrated promising results for the early classification of two-class and three-class anxiety problems. As for comparing Support Vector Machine and J48, the Support Vector Machine classifier outperformed the J48 Decision Tree by attaining a classification accuracy of 100%, precision of 1.0, recall of 1.0, and f-measure of 1.0 using 10 features.

Anxiety Levels Amid the COVID-19 Lockdown in Saudi Arabia.

OBJECTIVE: To assess the prevalence of anxiety and factors associated with it during the peak of the outbreak in Saudi Arabia. MATERIALS AND METHODS: This cross-sectional research screened the general public using the Generalized Anxiety Disorder Scale-7 to detect anxiety levels. The questionnaire was distributed online during May 2020, while lockdowns were enforced. A total of 3017 respondents from all five main regions of Saudi Arabia completed the survey. The prevalence of anxiety was measured. Chi-square and logistic regression analyses were executed to determine associated factors with anxiety during peak lockdown. RESULTS: About 19.6% of the respondents possessed a moderate to severe level of anxiety during the pandemic. Western, Northern, and Eastern regions of Saudi Arabia were found to be the most anxious. Female participants had 5.3% higher levels of anxiety compared to male counterparts. The youngest age group (18 to 19 years), most of them were students, reported the highest frequency of anxiety (28.7%). Divorced and single participants had a higher level of anxiety compared to married ones. After adjusted with other variables, living with a family member with risk of the COVID-19 was the best predictor assessing anxiety amid peak lockdown (OR: 1.8, 95% CI: 1.4-2.2). CONCLUSION: Notable anxiety prevailed during the initial phase of the COVID-19 outbreak in Saudi Arabia. The presence of vulnerable subjects in the family augments this psychological disorder considerably. Our findings promulgate a need to inculcate nation-wide strategies to enforce public health emergency preparedness plans to mitigate the adverse psychological effects of outbreaks.

The Negative Impact of Tobacco Smoking on Health-Related Quality of Life among Saudi Adolescents During the COVID-19 Pandemic.

OBJECTIVE: This study aimed to evaluate the impact of cigarette smoking and health-related quality of life among Saudi secondary vocational students during the COVID-19 pandemic. METHODS: A convenience sample of 328 answered a web-based self-administered questionnaire based on the Youth Risky Behavior Monitoring System (YRBSS) plus the Short Form 12 (SF-12) were included in the study. The target population included all Saudi students enrolled at the Secondary Industrial Institute in Dammam, Saudi Arabia, during December 2020 and February 2021. RESULTS: Out of the total of 328 male participants, representing a response rate of 38.59%, the highest percentage of respondents were in the first year (45.4%), the mean age of the participants was 17.73 years with a standard deviation (SD) of 1.85 years. The prevalence of current smokers, past smokers, and never smokers accounted for 30.2%, 21.3%, and 48.5%, respectively. First-year students reported relatively high levels of smoking prevalence and low physical scores of health-related quality of life (HRQoL). The overall mean of HRQoL of current smokers, past smokers, and never smokers accounted for 58.60, 58.38, and 63.66, respectively. In addition, current smokers reported a relatively low physical score of HRQoL 55.73. CONCLUSION: This is the first report to explore the impact of smoking on HRQoL of Secondary Industrial Institute students in Saudi Arabia during the COVID-19 pandemic. The results indicate that smoking has a negative impact on the quality of life of vocational students. Therefore, a health strategies plan may be developed to improve the quality of life for vocational students in Saudi Arabia. OBJECTIVE: This study aimed to evaluate the impact of cigarette smoking and health-related quality of life among Saudi secondary vocational students during the COVID-19 pandemic. METHODS: A convenience sample of 328 answered a web-based self-administered questionnaire based on the Youth Risky Behavior Monitoring System (YRBSS) plus the Short Form 12 (SF-12) were included in the study. The target population included all Saudi students enrolled at the Secondary Industrial Institute in Dammam, Saudi Arabia, during December 2020 and February 2021. RESULTS: Out of the total of 328 male participants, representing a response rate of 38.59%, the highest percentage of respondents were in the first year (45.4%), the mean age of the participants was 17.73 years with a standard deviation (SD) of 1.85 years. The prevalence of current smokers, past smokers, and never smokers accounted for 30.2%, 21.3%, and 48.5%, respectively. First-year students reported relatively high levels of smoking prevalence and low physical scores of health-related quality of life (HRQoL). The overall mean of HRQoL of current smokers, past smokers, and never smokers accounted for 58.60, 58.38, and 63.66, respectively. In addition, current smokers reported a relatively low physical score of HRQoL 55.73. CONCLUSION: This is the first report to explore the impact of smoking on HRQoL of Secondary Industrial Institute students in Saudi Arabia during the COVID-19 pandemic. The results indicate that smoking has a negative impact on the quality of life of vocational students. Therefore, a health strategies plan may be developed to improve the quality of life for vocational students in Saudi Arabia.