Objective

To understand how the COVID-19 pandemic affected women of reproductive age, specifically their economic conditions, desire for pregnancy, and access to contraceptive services during the pandemic.

Study designs

A total of 554 women respondents age 18 to 49 and reside in the United States were recruited using social media between May 16, 2020 and June 16, 2020. Logistic regression models assessed predictors of reporting pandemic-related changes in economic conditions, desire for pregnancy, and contraceptive access.

Results

Compared to White/Caucasian respondents, Hispanics/Latinx and Black/African Americans have 4 times the odds of experiencing inability to afford food, transportation, and/or housing (p < 0.01) during the pandemic; Hispanics/Latinx have twice the odds of experiencing food insecurity (p < 0.05). Inability to afford food, transportation, and/or housing was associated with drop in desire to be pregnant (p < 0.01). Despite the 25% of participants who reported a drop in desire for pregnancy, 1 in 6 reported difficulty accessing contraceptives, particularly those who experienced reduced income (p < 0.01).

Conclusions

In our sample, the pandemic unevenly affected people from different socioeconomic groups. Many simultaneously experienced reduced income, difficulties in accessing contraception, and a greater desire to avoid a pregnancy. This combination of factors increases the chance that people will experience unintended pregnancies.

Implications

The pandemic caused economic hardship and an increased desire to postpone or prevent pregnancy at the same time that it created new barriers to contraceptive services. This pattern may lead to a potential net effect of an increase in unintended pregnancy, particularly among people who had difficulty affording food, transportation, and/or housing during the pandemic.

INTRODUCTION:California's Workers' Compensation System (CAWCS) Department of Industrial Relations questioned the adequacy of the current Medi-Cal fee-schedule pricing and requested analysis of alternatives that maximize price availability and maintain budget neutrality. OBJECTIVES:To compare CAWCS pharmacy-dispensed (PD) drug prices under alternative fee schedules, and identify combinations of alternative benchmarks that have prices available for the largest percentage of PD drugs and that best reach budget neutrality. METHODS:Claims transaction-level data (2011-2013) from CAWCS were used to estimate total annual PD pharmaceutical payments. Medi-Cal pricing data was from the Workman's Compensation Insurance System (WCIS). Average Wholesale Prices (AWP), Wholesale Acquisition Costs (WAC), Direct Prices (DP), Federal Upper Limit (FUL) prices, and National Average Drug Acquisition Costs (NADAC) were from Medi-Span. We matched National Drug Codes (NDCs), pricing dates, and drug quantity for comparisons. We report pharmacy-dispensed (PD) claims frequency, reimbursement matching rate, and paid costs by CAWCS as the reference price against all alternative price benchmarks. RESULTS:Of 12,529,977 CAWCS claims for pharmaceutical products 11.6% (1,462,814) were for PD drugs. Prescription drug cost for CAWCS was over $152M; $63.9M, $47.9M, and $40.6M in 2011-2013. Ninety seven percent of these CAWCS PD claims had a Medi-Cal price. Alternative mechanisms provided a price for fewer claims; NADAC 94.23%, AWP 90.94%, FUL 73.11%, WAC 66.98%, and DP 14.33%. Among CAWCS drugs with no Medi-Cal price in PD claims, AWP, WAC, NADAC, DP, and FUL provided prices for 96.7%, 63.14%, 24.82%, 20.83%, and 15.08% of claims. Overall CAWCS paid 100.52% of Medi-Cal, 60% of AWP, 97% of WAC, 309.53% of FUL, 103.83% of DP, and 136.27% of NADAC. CONCLUSIONS:CAWCS current Medi-Cal fee-schedule price list for PD drugs is more complete than all alternative fee-schedules. However, all reimbursement approaches would require combinations of pricing benchmarks. We suggest keeping primary reimbursement at 100% of Medi-Cal and for drugs without a primary Medi-Cal price calculating the maximum fee as 60% of AWP and then 97% of WAC. Alternatively, we suggest using NADAC as a primary fee-schedule followed by either 60% AWP and 97% WAC or AWP-40% for drugs with no NADAC price. Fee-schedules may not offer the best price and a formulary approach may provide more flexibility.

Introduction

Understanding patient preferences for characteristics of treatments facilitates patient participation and doctor-patient communication and enhances patient-centered care. Patient participation is especially important for urethral stricture disease, which has no definitive treatment guidelines favoring either endoscopic incision or open reconstruction, making patient preference an important factor in treatment choice. However, to date, there have been no studies assessing factors that patients value when choosing a treatment option.

Methods

We employ choice-based conjoint analysis to assess patient preferences in the trade-offs of treatment attributes for urethral stricture disease. Male patients undergoing treatment or follow-up examination for urethral stricture disease were recruited through a University Medical Practice. We included 169 patients in the analysis. Six attributes of both risk and benefit were examined: treatment type, success rate, number of future procedures, post-treatment catheter duration, recovery time, and copayment amount.

Results

The treatment success rate was by far the most important attribute. Relative to a 25% success rate (OR = 1) an 85% success rate (OR = 26.72, p<.01) increased patient preference by approximately 27 times. Furthermore, patients are willing to pay a $10,000 copayment to double the success rate from 25% to 50%. Patients demonstrated a strong aversion to time with a urinary catheter. Catheter duration for 1 week or less (OR = .67, p<.01) reduced patient preference by about 1.5 times when compared to requiring no catheter. We also found that patients place low importance on both how invasive the treatment seems and low copayment amounts but are willing to pay $10,000 copayment for an open reconstruction surgery compared with an endoscopic incision procedure.

Conclusion

The findings highlight the importance of shared and detailed physician/patient discussions of all the risk and benefits of each treatment choice and suggest that conjoint analysis may be helpful as a decision aid to guide discussions with individual patients deciding on a treatment.

Background

The 2019 Global Health Security (GHS) Index measured the capacities of countries to prepare for and respond to epidemics and pandemics. However, the COVID-19 pandemic revealed that GHS Index scores were poorly correlated with ability to respond to infectious disease threats. It is critical to understand how public health policies may reduce the negative impacts of pandemics.

Objective

To identify non-pharmaceutical interventions (NPIs) that can minimize morbidity and mortality during the COVID-19 and future pandemics, this study examined associations between country characteristics, NPI public health policies, and COVID-19 outcomes during the first year of the pandemic, prior to the introduction of the COVID-19 vaccine. This global analysis describes worldwide trends in policy implementation and generates a stronger understanding of how NPIs contributed to improved health outcomes.

Design

This cross-sectional, retrospective study relied on information drawn from publicly available datasets through December 31, 2020.

Primary and secondary outcome measures

We conducted multivariate regressions to examine associations between country characteristics and policies, and policies and health outcomes.

Results

Countries with higher health service coverage prior to the pandemic implemented more policies and types of policies. Countries with more bordering countries implemented more border control policies (0.78^**), and countries with denser populations implemented more masking policies (0.24^*). Across all countries, fewer COVID-19 cases and deaths per million were associated with masking (-496.10^*, -7.57), testing and tracing (-108.50^**, -2.47^**), and restriction of movement (-102.30^*, -2.10^*) policies, with stronger associations when these policies were mandatory rather than voluntary.

Conclusions

Country characteristics, including health service coverage, number of bordering countries, and population density, may predict the frequency and nature of public health interventions. Countries with higher health service coverage may have the infrastructure to react more efficiently to a pandemic, leading them to implement a greater number of policies. Mandatory masking, testing and tracing, and restriction of movement policies were associated with more favorable COVID-19 population health outcomes. While these results are consistent with existing COVID-19 mathematical models, policy effectiveness depends on how well they are implemented. Our results suggest that social distancing policies were less effective in reducing infectious disease risk, which may reflect difficulties with enforcement and monitoring.

Background

Conflict impacts food security and decreases household dietary diversity. However, few studies have explored the routes by which prolonged conflict and social stressors affect food insecurity experience and food diversity. This study examines the influence of political, economic, and agricultural stressors on food insecurity and food diversity, and evaluates variations in food insecurity and food diversity with location of residence for households in the occupied Palestinian territory.

Methods

A secondary data analysis with structural equation modelling was carried out on data from the Socio-Economic & Food Security Survey 2014 of the Palestinian Central Bureau of Statistics. The survey was completed by a representative sample of the Palestinian population in the occupied Palestinian territory at governorate and locality levels, and consisted of 4215 households in the West Bank and 2916 households in the Gaza Strip. The primary outcomes were food diversity (measured with a food consumption score) and food insecurity (assessed with a composite experience-based measure of food security). We used structural equation models to examine the relationships between location of residence (in the West Bank, living in Area C versus not Area C; in the Gaza Strip, proximity of residence to the buffer zone), the number of political stressors, economic stressors, and agricultural stressors (eg, restricted access to land), and the primary outcomes. We controlled for demographic characteristics, including education, governorate, and wealth.

Findings

In the West Bank, there was no statistically significant direct association between living in Area C and food insecurity. Living in Area C is associated with a higher number of agricultural stressors than not Area C (p=0·032), and a higher number of agricultural stressors is in turn associated with lower food diversity (p=0·0080) and higher food insecurity (p=0·040). In the Gaza Strip, proximity to the buffer zone is directly associated with higher food insecurity (p=0.041) and lower food diversity (p=0·019) and a higher number of political stressors (p=0·057). A higher number of political stressors is associated with a higher number of economic stressors (p=0·026) and higher food insecurity (p=0·034).

Interpretation

The findings suggest that political, economic, and agricultural factors contribute to food insecurity and food diversity, and that their interactions are complex. Conflict and occupation affect food availability through both direct and indirect channels. In the Gaza Strip, living in close proximity to the buffer zone is associated with lower food diversity and higher food insecurity. In the West Bank, although residing in Area C may not directly increase food insecurity, the hardship generated by the conditions in Area C contributes to higher food insecurity.

Funding

The Emirates Foundation.

Background

Health workforce planning is critical for health systems to safeguard the ability to afford, train, recruit, and retain the appropriate number and mix of health workers. This balance is especially important when macroeconomic structures are also reforming. The Kingdom of Saudi Arabia is moving toward greater diversification, privatization, and resiliency; health sectorreform is a key pillar of this transition.

Methods

We used the Ministry of Health Yearbook data on the number of workers and health expenditures from 2007 to 2018 and projected health labor market supply and demand of workers through 2030, evaluated the potential shortages and surpluses, and simulated different policy scenarios to identify relevant interventions. We further focused on projections for health workers who are Saudi nationals and health worker demand within the public sector (versus the private sector) to inform national objectives of reducing dependency on foreign workers and better deploying public sector resources.

Results

We projected the overall health labor market to demand 9.07 physicians and nurses per 1,000 population (356,514) in 2030; the public sector will account for approximately 67% of this overall demand. Compared to a projected supply of 10.16 physicians and nurses per 1,000 population (399,354), we estimated an overall modest surplus of about 42,840 physicians and nurses in 2030. However, only about 17% of these workers are estimated to be Saudi nationals, for whom there will be a demand shortage of 287,895 workers. Among policy scenarios considered, increasing work hours had the largest effect on reducing shortages of Saudi workers, followed by bridge programs for training more nurses. Government resources can also be redirected to supporting more Saudi nurses while still ensuring adequate numbers of physicians to meet service delivery goals in 2030.

Conclusion

Despite projected overall balance in the labor market for health workers in 2030, without policy interventions, severe gaps in the Saudi workforce will persist and limit progress toward health system resiliency in Saudi Arabia. Both supply- and demand-side policy interventions should be considered, prioritizing those that increase productivity among Saudi health workers, enhance training for nurses, and strategically redeploy financial resources toward employing these workers.

Background

The Kingdom of Saudi Arabia (KSA), as part of its 2030 National Transformation Program, set a goal of transforming the healthcare sector to increase access to, and improve the quality and efficiency of, health services. To assist with the workforce planning component, we projected the needed number of physicians and nurses into 2030. We developed a new needs-based methodology since previous global benchmarks of health worker concentration may not apply to the KSA.

Methods

We constructed an epidemiologic "needs-based" model that takes into account the health needs of the KSA population, cost-effective treatment service delivery models, and worker productivity. This model relied heavily on up-to-date epidemiologic and workforce surveys in the KSA. We used demographic population projections to estimate the number of nurses and physicians needed to provide this core set of services into 2030. We also assessed several alternative scenarios and policy decisions related to scaling, task-shifting, and enhanced public health campaigns.

Results

When projected to 2030, the baseline needs-based estimate is approximately 75,000 workers (5788 physicians and 69,399 nurses). This workforce equates to 2.05 physicians and nurses per 1000 population. Alternative models based on different scenarios and policy decisions indicate that the actual needs for physicians and nurses may range from 1.64 to 3.05 per 1000 population in 2030.

Conclusions

Based on our projections, the KSA will not face a needs-based health worker shortage in 2030. However, alternative model projections raise important policy and planning issues regarding various strategies the KSA may pursue in improving quality and efficiency of the existing workforce. More broadly, where country-level data are available, our needs-based strategy can serve as a useful step-by-step workforce planning tool to complement more economic demand-based workforce projections.

Objectives

To identify social and structural barriers to timely utilisation of qualified providers among children under five years in a high-mortality setting, rural Mali and to analyse how utilisation varies by symptom manifestation.

Methods

Using baseline household survey data from a cluster-randomised trial, we assessed symptom patterns and healthcare trajectories of 5117 children whose mothers reported fever, diarrhoea, bloody stools, cough and/or fast breathing in the preceding two weeks. We examine associations between socio-demographic factors, symptoms and utilisation outcomes in mixed-effect logistic regressions.

Results

Almost half of recently ill children reported multiple symptoms (46.2%). Over half (55.9%) received any treatment, while less than one-quarter (21.7%) received care from a doctor, nurse, midwife, trained community health worker or pharmacist within 24 h of symptom onset. Distance to primary health facility, household wealth and maternal education were consistently associated with better utilisation outcomes. While children with potentially more severe symptoms such as fever and cough with fast breathing or diarrhoea with bloody stools were more likely to receive any care, they were no more likely than children with fever to receive timely care with a qualified provider.

Conclusions

Even distances as short as 2-5 km significantly reduced children's likelihood of utilising healthcare relative to those within 2 km of a facility. While children with symptoms indicative of pneumonia and malaria were more likely to receive any care, suggesting mothers and caregivers recognised potentially severe illness, multiple barriers to care contributed to delays and low utilisation of qualified providers, illustrating the need for improved consideration of barriers.