Geographic disparities in COVID-19 infections and deaths: The role of transportation.

The US government imposed two travel restriction policies to prevent the spread of the COVID-19 but may have funneled asymptomatic air travelers to selected major airports and transportation hubs. Using the most recent JHU COVID-19 database, American Community Survey, Airport and Amtrak data form Bureau of Transportation Statistics from 3132 US counties we ran negative binomial regressions and Cox regression models to explore the associations between COVID-19 cases and death rates and proximity to airports, train stations, and public transportation. Counties within 25 miles of an airport had 1.392 times the rate of COVID-19 cases and 1.545 times the rate of COVID-19 deaths in comparison to counties that are more than 50 miles from an airport. More effective policies to detect and isolate infected travelers are needed. Policymakers and officials in transportation and public health should collaborate to promulgate policies and procedures to protect travelers and transportation workers from COVID-19.

Cost-minimization study of the percutaneous approach to endovascular aortic aneurysm repair.

OBJECTIVE: Percutaneous access for endovascular aortic aneurysm repair (P-EVAR) is less invasive compared with surgical access for endovascular aortic aneurysm repair (S-EVAR). P-EVAR has been associated with shorter recovery and fewer wound complications. However, vascular closure devices (VCDs) are costly, and the economic effects of P-EVAR have important implications for resource allocation. The objective of our study was to estimate the differences in the costs between P-EVAR and S-EVAR. METHODS: We used a decision tree to analyze the costs from a payer perspective throughout the course of the index hospitalization. The probabilities, relative risks, and mean difference summary measures were obtained from a systematic review and meta-analysis. We modelled differences in surgical site infection, lymphocele, and the length of hospitalization. Cost parameters were derived from the 2014 National Inpatient Sample using "International Classification of Diseases, 9th Revision, Clinical Modification" codes. Attributable costs were estimated using generalized linear models adjusted by age, sex, and comorbidities. A sensitivity analysis was performed to determine the robustness of the results. RESULTS: A total of 6876 abdominal and thoracic EVARs were identified. P-EVAR resulted in a mean cost savings of $751 per procedure. The mean costs for P-EVAR were $1287 (95% confidence interval [CI], $884-$1835) and for S-EVAR were $2038 (95% CI, $757-$4280). P-EVAR procedures were converted to open procedures in 4.3% of the cases. The P-EVAR patients had a difference of -1.4 days (95% CI, -0.12 to -2.68) in the length of hospitalization at a cost of $1190/d (standard error, $298). The cost savings of P-EVAR was primarily driven by the cost differences in the length of hospitalization. In the base case, four VCDs were used per P-EVAR at $200/device. In the two-way sensitivity analysis, P-EVAR resulted in cost savings, even when 1.5 times more VCDs had been used per procedure and the cost of each VCD was 1.5 times greater. In our probabilistic sensitivity analysis, P-EVAR was the cost savings strategy for 82.6% of 10,000 Monte Carlo simulations when simultaneously varying parameters across their uncertainty ranges. CONCLUSIONS: P-EVAR had lower costs compared with S-EVAR and could result in dramatic cost savings if extrapolated to the number of aortic aneurysms repaired. Our analysis was a conservative estimate that did not account for the improved quality of life after P-EVAR.

Cost-effectiveness Analysis of Feeding Guidelines for Infants Following Intestinal Surgery.

OBJECTIVE: The aim of the study was to determine the cost-effectiveness of postoperative feeding guidelines to reduce complications in infants with intestinal surgery compared to standard feeding practices. METHODS: Using outcomes from a cohort study, Markov models from health care and societal perspectives simulated costs per hospitalization among infants fed via guidelines versus standard practice. Short-term outcomes included intestinal failure-associated liver disease, necrotizing enterocolitis after feeding, sepsis, and mortality. Effectiveness was measured as length of stay. The incremental cost-effectiveness ratios (ICER) compared cost over length of stay. Univariate and multivariate probabilistic sensitivity analyses with 10,000 Monte Carlo Simulations were performed. A second decision tree model captured the cost per quality-adjusted life years (QALYs) using utilities associated with long-term outcomes (liver cirrhosis and transplantation). RESULTS: In the hospital perspective, standard feeding had a cost of $31,258,902 and 8296 hospital days, and the feeding guidelines had a cost of $29,295,553 and 8096 hospital days. The ICER was $-9832 per hospital stay with guideline use. More than 90% of the ICERs were in the dominant quadrant. Results were similar for the societal perspective. Long-term costs and utilities in the guideline group were $2830 and 0.91, respectively, versus $4030 and 0.90, resulting in an ICER of $-91,756/QALY. CONCLUSION: In our models, feeding guideline use resulted in cost savings and reduction in hospital stay in the short-term and cost savings and an increase in QALYs in the long-term. Using a systematic approach to feed surgical infants appears to reduce costly complications, but further data from a larger cohort are needed.

The national cost of hospital-acquired pressure injuries in the United States.

Our objective was to estimate the US national cost burden of hospital-acquired pressure injury (HAPI) using economic simulation methods. We created a Markov simulation to estimate costs for staged pressure injuries acquired during hospitalisation from the hospital perspective. The model analysed outcomes of hospitalised adults with acute illness in 1-day cycles until all patients were terminated at the point of discharge or death. Simulations that developed a staged pressure injury after 4 days could advance from Stages 1 to 4 and accrue additional costs for Stages 3 and 4. We measured costs in 2016 US dollars representing the total cost of acute care attributable to HAPI incidence at the patient level and for the entire United States based on the previously reported epidemiology of pressure injury. US HAPI costs could exceed $26.8 billion. About 59% of these costs are disproportionately attributable to a small rate of Stages 3 and 4 full-thickness wounds, which occupy clinician time and hospital resources. HAPIs remain a concern with regard to hospital quality in addition to being a major source of economic burden on the US health care system. Hospitals should invest more in quality improvement of early detection and care for pressure injury to avoid higher costs.

Income Inequality, Gender Disparities, and Ethnic Differences: Investigating Allostatic Load in American Adults.

AIM: To estimate the association between income inequality and allostatic load score (AL) in adults ages 20 years and older, with a particular focus on the differential impacts across racial and gender groups. By examining this association, the study seeks to inform targeted policy interventions to mitigate health disparities exacerbated by economic inequality. METHODS: Utilizing data from the 1999-2016 National Health and Nutrition Examination Survey (NHANES), we assessed AL through eight biomarkers: systolic blood pressure (mm Hg), diastolic blood pressure (mm Hg), pulse rate (beats/min), body mass index (kg/m2), glycohemoglobin (%), direct HDL cholesterol (mg/dL), total cholesterol (mg/dL), and serum albumin (g/dL). Employing negative binomial regression (NBRG), we estimated incidence rate ratios (IRR) for a sample comprising 7367 men and 7814 women, adjusting for age, race/ethnicity, marital status, education, health insurance, comorbidity, and mental health professional utilization. Gini coefficients (GC) were calculated to assess income inequality among men and women. RESULTS: Findings revealed that men exhibited a higher poverty-to-income ratio (PIR) compared to women (3.12 vs. 2.86, p < 0.01). Yet, women experienced higher rates of elevated AL (AL > 4) (31.8% vs. 29.0%) and were more adversely affected by income inequality (GC: 0.280 vs. 0.333). NBRG results indicated that high PIR individuals had a lower IRR (0.96; CI:0.92-0.95) compared to their low PIR counterparts, a trend observed in women but not men. High PIR was notably protective among White non-Hispanic (WNH) men and women. Additionally, vigorous and moderate physical activity engagement was associated with lower AL (IRR: 0.89, CI: 0.85-0.93). CONCLUSION: The study emphasizes the importance of implementing policies that target AL in low-income populations across all racial groups, with a specific focus on Black non-Hispanic (BNH) and Hispanic communities. By prioritizing these groups, policies can more effectively target the nexus of income inequality, health disparities, and allostatic load, contributing to the reduction of health inequities.

The Supply of Hospital Care to Minority and Low-Income Communities and the Hospital Readmission Reduction Program.

To determine if the Centers for Medicare and Medicaid Services Hospital Readmission Reduction Program reduced hospital discharges for penalized conditions in minority and low-income communities, we used hospital discharge data for 2006 and 2013 from Arizona, California, Colorado, Florida, New Jersey, New York, North Carolina, and Wisconsin and readmission data from the Medicare Hospital Compare website. Negative binomial regression was used for 6,564 zip codes for each year to estimate the association between the expected penalty for an excess readmission in the hospital service area and the number of hospital discharges for penalized conditions (acute myocardial infarction, congestive heart failure, and pneumonia) for zip codes. The results showed that the expected penalty for excess readmissions had a negative association with the number of discharges for acute myocardial infarction, congestive heart failure, and pneumonia. The negative association increased with the percentage of minority residents but not with the poverty rate.

Effectiveness of hospital payment reforms in low- and middle-income countries: a systematic review.

Payment mechanisms have attracted substantial research interest because of their consequent effect on care outcomes, including treatment costs, admission and readmission rates and patient satisfaction. Those mechanisms create the incentive environment within which health workers operate and can influence provider behaviour in ways that can facilitate achievement of national health policy goals. This systematic review aims to understand the effects of changes in hospital payment mechanisms introduced in low- and middle-income countries (LMICs) on hospital- and patient-level outcomes. A standardised search of seven databases and a manual search of the grey literature and reference lists of existing reviews were performed to identify relevant articles published between January 2000 and July 2019. We included original studies focused on hospital payment reforms and their effect on hospital and patient outcomes in LMICs. Narrative descriptions or studies focusing only on provider payments or primary care settings were excluded. The authors used the Risk of Bias in Non-Randomized Studies of Interventions tool to assess the risk of bias and quality. Results were synthesized in a narrative description due to methodological heterogeneity. A total of 24 articles from seven middle-income countries were included, the majority of which are from Asia. In most cases, hospital payment reforms included shifts from passive (fee-for-service) to active payment models-the most common being diagnosis-related group payments, capitation and global budget. In general, hospital payment reforms were associated with decreases in hospital expenditures, out-of-pocket payments, length of hospital stay and readmission rates. The majority of the articles scored low on quality due to weak study design. A shift from passive to active hospital payment methods in LMICs has been associated with lower hospital and patient costs as well as increased efficiency without any apparent compromise on quality. However, there is an important need for high-quality studies in this area.

No Man is an Island: The Impact of Neighborhood Disadvantage on Mortality.

This study's purpose is to determine if neighborhood disadvantage, air quality, economic distress, and violent crime are associated with mortality among term life insurance policyholders, after adjusting for individual demographics, health, and socioeconomic characteristics. We used a sample of approximately 38,000 term life policyholders, from a large national life insurance company, who purchased a policy from 2002 to 2010. We linked this data to area-level data on neighborhood disadvantage, economic distress, violent crime, and air pollution. The hazard of dying for policyholders increased by 9.8% (CI: 6.0­13.7%) as neighborhood disadvantage increased by one standard deviation. Area-level poverty and mortgage delinquency were important predictors of mortality, even after controlling for individual personal income and occupational status. County level pollution and violent crime rates were positively, but not statistically significantly, associated with the hazard of dying. Our study provides evidence that neighborhood disadvantage and economic stress impact individual mortality independently from individual socioeconomic characteristics. Future studies should investigate pathways by which these area-level factors influence mortality. Public policies that reduce poverty rates and address economic distress can benefit everyone's health.