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.

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.

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.

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.

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.

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.