Background: Primary healthcare (PHC) is an essential component of an effective healthcare system. The Kingdom of Saudi Arabia’s (KSA) health reforms prioritize tackling the increasing noncommunicable disease burden by prioritizing PHC, centering it as the core of the newly proposed Model of Care. To identify challenges and opportunities to scale up PHC capacity, understanding the current capacity of primary health care centers (PHCC) is critical. A limited number of publications review PHC capacity in KSA, focusing on specific regions/sectors; this paper is a first to examine PHC capacity on a national level. Methods: The study uses a countrywide Facility Survey that collected data in 2018 from 2319 PHCCs, generating information on their characteristics, number of health workers, services provided, and capacity elements captured through the Service Availability and Drug Availability constructed indices. Descriptive analysis was performed by rural-urban classification. Ordinary Least Squares (OLS) regressions were used to understand correlates to health workers and equipment availability. Finally, a logistic regression was fitted for selected services. Regressions controlled for various measures to determine correlates with facilities’ capacity. Results: On a national level, there are 0.74 PHCCs per 10,000 population in KSA. There are variations in the distribution of PHCCs across regions and within regions across rural and urban areas. PHCCs in urban areas have more examination rooms but lower examination room densities. Offering 24 × 7 services in PHCCs is infrequent and dependency on paper-based medical recording remains common. More urban regions are more likely to offer general services but less likely to offer burn management and emergency services. PHCCs are mostly staffed with general medicine, family medicine, and obstetrics & gynecology physicians, whose numbers are more concentrated in urban areas; however, their densities are higher in rural areas. Finally, psychiatrists and nutritionists are rare to find in PHCCs. Conclusions: Decision-makers need to consider several factors when designing PHC policies. For instance, PHC accreditation needs to be prioritized given its positive correlation with service provision and health workers availability. PHC 24 × 7 operation also needs considerations in rural areas due to the high dependency on PHCCs. Finally, there is a substantial need for improvements in e-health.

Aim: Many governments in East and Southeast Asia responded promptly and effectively at the onset of the COVID-19 pandemic. Synthesizing and analyzing these responses is vital for disease control evidence-based policymaking. Methods: An extensive review of COVID-19 control measures was conducted in selected Asian countries and subregions, including Mainland China, Hong Kong, Taiwan, South Korea, Singapore, Japan, and Vietnam from 1 January to 30 May 2020. Control measures were categorized into administrative, public health, and health system measures. To evaluate the stringency and timeliness of responses, we developed two indices: the Initial Response Index (IRI) and the Modified Stringency Index (MSI), which builds on the Oxford COVID-19 Government Response Tracker (OxCGRT). Results: Comprehensive administrative, public health, and health system control measures were implemented at the onset of the outbreak. Despite variations in package components, the stringency of control measures across the study sites increased with the acceleration of the outbreak, with public health control measures implemented the most stringently. Variations in daily average MSI scores are observed, with Mainland China scoring the highest (74.2), followed by Singapore (67.4), Vietnam (66.8), Hong Kong (66.2), South Korea (62.3), Taiwan (52.1), and Japan (50.3). Variations in IRI scores depicting timeliness were higher: Hong Kong, Taiwan, Vietnam, and Singapore acted faster (IRI > 50.0), while Japan (42.4) and Mainland China (4.2) followed. Conclusions: Timely setting of stringency of the control measures, especially public health measures, at dynamically high levels is key to optimally controlling outbreaks.

Background: Saudi Arabia is experiencing rapid development of the built environment and implementing policy changes to promote physical activity (PA) and reduce sedentary behavior (SB) among its population. In light of these developments, this scoping review systematically summarized population levels of PA/SB in Saudi Arabia. Methods: The authors searched 6 databases on December 13, 2021, for articles published in English or Arabic from 2018 to the search date. Studies using population-based sampling in Saudi Arabia and measuring PA/SB were included. Results: Of the 1272 records found, 797 were screened, and 19 studies (9 on children/adolescents age 6–19 y and 10 on adults age 15–75 y) were included. All studies were cross-sectional in design, and 18 studies collected data at only one point in time, ranging from 2009 to 2020. A total of 18 studies relied on self-reporting to assess PA/SB using a variety of questionnaires. Among children/adolescents, approximately 80% to 90% did not attain at least 60 minutes per day of moderate to vigorous PA and 50% to 80% engaged in ≥2 hours per day of screen time or SB. Among adults, approximately 50% to 95% had low or insufficient PA (eg, less than meeting PA guidelines) and about half had a sitting time of ≥5 hours per day. Population-based studies were not found among children 75 years. Conclusions: A high proportion of participants in the reviewed studies did not meet PA recommendations and spent excessive time in SB. Ongoing surveillance efforts for all ages may help identify target populations for interventions and prioritize the national strategy on PA/SB in Saudi Arabia.

Background/Objectives: In 2020, the National Nutrition Committee in Saudi Arabia launched a nutrient profile model, aiming to support the classification of foods and beverages in line with successful international approaches. The objective of this study was to compare the existing Saudi Arabian nutrient profile model to other established models to help inform diet-related policies in the country. Methods: Packaged food and beverage data were obtained from Mintel’s Global New Products Database. Products were evaluated under the Saudi Arabian nutrient profile model, Nutri-Score and Chile’s high fat, salt, sugar (HFSS) model. Agreement among the three nutrient profile models was examined using Fleiss’ kappa statistic. Results: There were 6940 products used in analysis. All three models showed a low proportion of eligible/healthy products, with 26% for Chile’s HFSS model, 28% for Nutri-Score and 25% for the Saudi Arabian nutrient profile model. There was substantial agreement (86%; k = 0.74) among all three models examined, with the highest agreement between the Saudi Arabian nutrient profile model and the Nutri-Score model. Conclusions: All three demonstrated a sub-optimal level of overall healthiness in the Saudi Arabian packaged food and beverage supply, with <30% of products under all models considered “healthy”. Given the substantial agreement among all three nutrient profiling approaches examined, it is likely that Saudi Arabia could benefit from the use of a categorical approach to nutrient profiling such as the Nutri-Score model, which allows for a more scaled view on product healthiness compared to a binary approach.

Objective Anxiety and depression are among the top contributors to disability in the Kingdom of Saudi Arabia (KSA), but little is known about their economic impact. This study estimates the economic burden of moderate to severe symptoms of anxiety and depression among adults in KSA. Design and setting A cross-sectional survey was administered via a web panel. Participants were asked to fill out the Patient Health Questionnaire-4 (PHQ-4) for themselves and on behalf of other household members to capture prevalence rates. Those who reported at least moderate symptoms of anxiety or depression filled out a longer survey with questions on healthcare utilisation and productivity losses due to symptoms. These responses were monetised using prevalence rates and population estimates to calculate per-person and total annual costs. Participants Prevalence estimates are based on responses from 1164 participants on behalf of 3202 Saudi adults. Of these, 269 individuals with symptoms completed the longer survey. Primary outcome measures Prevalence of anxiety and depression; healthcare utilisation (medications, outpatient, inpatient) and productivity losses due to absenteeism and presenteeism. Results In total, 26.2% reported at least moderate symptoms consistent with anxiety and/or depression. Among those with symptoms, direct healthcare costs due to anxiety and depression averaged Saudi riyal (SAR) 3431.95 per person annually. Indirect costs via absenteeism and presenteeism averaged SAR 9702.87 and SAR 24 577.28 per person assuming that anxiety and/or depression episodes last for 6 months. Summing up the healthcare costs and productivity losses yields a total annual economic burden of SAR 163.3 billion. Absenteeism accounts for 24.8% of this total (SAR 40.5 billion), presenteeism accounts for 62.8% (SAR 102.5 billion) and healthcare resource utilisation accounts for 12.4%(SAR 20.3 billion). Conclusions The overall prevalence of anxiety and depression in KSA is estimated at 26.2%. The economic burden associated with these symptoms amounts to SAR 163.3 billion or 4.1% of GDP. Absenteeism and presenteeism costs account for the vast majority of the total, but a large percentage (nearly 60%) also report emergency department visits and unplanned hospital admissions. Evidence-based interventions should be considered to address the health and economic burden of these conditions in KSA.

Introduction: Tobacco use imposes substantial global economic costs – estimated at $1803 to $1899 billion annually (1.76–1.85% of global gross domestic product) – through healthcare expenditures and productivity losses. In 2019, it contributed to approximately 8.70 million deaths and...