Total and Out-of-Pocket Costs Surrounding Emergency Department Care Among Older Adults Enrolled in Traditional Medicare and Medicare Advantage.

STUDY OBJECTIVE: We sought to quantify differences in total and out-of-pocket health care costs associated with treat-and-release emergency department (ED) visits among older adults with traditional Medicare and Medicare Advantage. METHODS: We conducted a repeated cross-sectional analysis of treat-and-release ED visits using 2015 to 2020 data from the Medicare Current Beneficiary Survey. We measured total and out-of-pocket health care spending during 3 time periods: the 30 days prior to the ED visit, the treat-and-release ED visit itself, and the 30 days after the ED visit. Stratified by traditional Medicare or Medicare Advantage status, we determined median total costs and the proportion of costs that were out-of-pocket. RESULTS: Among the 5,011 ED visits by those enrolled in traditional Medicare, the weighted median total (and % out-of-pocket) costs were $881.95 (13.3%) for the 30 days prior to the ED visit, $419.70 (10.1%) for the ED visit, and $809.00 (13.8%) for the 30 days after the ED visit. For the 2,595 ED visits by those enrolled in Medicare Advantage, the weighted median total (and % out-of-pocket) costs were $484.92 (24.0%) for the 30 days prior to the ED visit, $216.66 (21.9%) for the ED visit, and $439.13 (22.4%) for the 30 days after the ED visit. CONCLUSION: Older adults insured by Medicare Advantage incur lower total health care costs and face similar overall out-of-pocket expenses in the time period surrounding emergency care. However, a higher proportion of expenses are out-of-pocket compared with those insured by traditional Medicare, providing evidence of greater cost sharing for Medicare Advantage plan enrollees.

Older adults' perspectives on emergency department costs during COVID-19.

Objectives: COVID-19 has strained the household finances of many Americans who are already experiencing increasing health care expenses. Concerns about the cost of care may deter patients from seeking even urgent care from the emergency department (ED). This study examines predictors of older Americans' concerns about ED visit costs and how cost concerns may have influenced their ED use in the early stages of the pandemic. Study Design: This was a cross-sectional survey study using a nationally representative sample of US adults aged 50 to 80 years (N = 2074) in June 2020. Methods: Multivariate logistic regressions assessed the relationships of sociodemographic, insurance, and health factors with cost concerns for ED care. Results: Of the respondents, 80% were concerned (45% very, 35% somewhat) about costs of an ED visit and 18% were not confident in their ability to afford an ED visit. Of the entire sample, 7% had avoided ED care because of cost concerns in the past 2 years. Of those who may have needed ED care, 22% had avoided care. Predictors of cost-related ED avoidance included being aged 50 to 54 years (adjusted odds ratio [AOR], 4.57; 95% CI, 1.44-14.54), being uninsured (AOR, 2.93; 95% CI, 1.35-6.52), having poor or fair mental health (AOR, 2.82; 95% CI, 1.62-4.89), and having an annual household income of less than $30,000 (AOR, 2.30; 95% CI, 1.19-4.46). Conclusions: During the early COVID-19 pandemic, most older US adults expressed concerns about the financial impact of ED use. Further research should examine how insurance design could alleviate the perceived financial burden of ED use and prevent cost-related care avoidance, especially for those at higher risk in future pandemic surges.

High Deductibles are Associated With Severe Disease, Catastrophic Out-of-Pocket Payments for Emergency Surgical Conditions.

BACKGROUND: Out-of-pocket spending has risen for individuals with private health insurance, yet little is known about the unintended consequences that high levels of cost-sharing may have on delayed clinical presentation and financial outcomes for common emergency surgical conditions. METHODS: In this retrospective analysis of claims data from a large commercial insurer (2016-2019), we identified adult inpatient admissions following emergency department presentation for common emergency surgical conditions (eg, appendicitis, cholecystitis, diverticulitis, and intestinal obstruction). Primary exposure of interest was enrollment in a high-deductible health insurance plan (HDHP). Our primary outcome was disease severity at presentation-determined using ICD-10-CM diagnoses codes and based on validated measures of anatomic severity (eg, perforation, abscess, diffuse peritonitis). Our secondary outcome was catastrophic out-of-pocket spending, defined by the World Health Organization as out-of-pocket spending >10% of annual income. RESULTS: Among 43,516 patients [mean age 48.4 (SD: 11.9) years; 51% female], 41% were enrolled HDHPs. Despite being younger, healthier, wealthier, and more educated, HDHP enrollees were more likely to present with more severe disease (28.5% vs 21.3%, P <0.001; odds ratio (OR): 1.34, 95% CI: 1.28-1.42]); even after adjusting for relevant demographics (adjusted OR: 1.23, 95% CI: 1.18-1.31). HDHP enrollees were also more likely to incur 30-day out-of-pocket spending that exceeded 10% of annual income (20.8% vs 6.4%, adjusted OR: 3.93, 95% CI: 3.65-4.24). Lower-income patients, Black patients, and Hispanic patients were at highest risk of financial strain. CONCLUSIONS: For privately insured patients presenting with common surgical emergencies, high-deductible health plans are associated with increased disease severity at admission and a greater financial burden after discharge-especially for vulnerable populations. Strategies are needed to improve financial risk protection for common surgical emergencies.

Implementation of the SIMPL (Society for Improving Medical Professional Learning) performance assessment tool in the emergency department: A pilot study.

Background: Feedback and assessment are difficult to provide in the emergency department (ED) setting despite their critical importance for competency-based education, and traditional end-of-shift evaluations (ESEs) alone may be inadequate. The SIMPL (Society for Improving Medical Professional Learning) mobile application has been successfully implemented and studied in the operative setting for surgical training programs as a point-of-care tool that incorporates three assessment scales in addition to dictated feedback. SIMPL may represent a viable tool for enhancing workplace-based feedback and assessment in emergency medicine (EM). Methods: We implemented SIMPL at a 4-year EM residency program during a pilot study from March to June 2021 for observable activities such as medical resuscitations and related procedures. Faculty and residents underwent formal rater training prior to launch and were asked to complete surveys regarding the SIMPL app's content, usability, and future directions at the end of the pilot. Results: A total of 36/58 (62%) of faculty completed at least one evaluation, for a total of 190 evaluations and an average of three evaluations per faculty. Faculty initiated 130/190 (68%) and residents initiated 60/190 (32%) evaluations. Ninety-one percent included dictated feedback. A total of 45/54 (83%) residents received at least one evaluation, with an average of 3.5 evaluations per resident. Residents generally agreed that SIMPL increased the quality of feedback received and that they valued dictated feedback. Residents generally did not value the numerical feedback provided from SIMPL. Relative to the residents, faculty overall responded more positively toward SIMPL. The pilot generated several suggestions to inform the optimization of the next version of SIMPL for EM training programs. Conclusions: The SIMPL app, originally developed for use in surgical training programs, can be implemented for use in EM residency programs, has positive support from faculty, and may provide important adjunct information beyond current ESEs.

Financial Outcomes After Traumatic Injury Among Working-Age US Adults With Commercial Insurance.

This cross-sectional study links insurance claims and consumer credit report data to evaluate the experience of financial distress in commercially insured adults after traumatic injury.

The Malawi emergency and critical care survey: A cross-sectional national facility assessment.

BACKGROUND: Data on emergency and critical care (ECC) capacity in low-income countries (LICs) are needed to improve outcomes and make progress towards realizing the goal of Universal Health Coverage. METHODS: We developed a novel research instrument to assess public sector ECC capacity and service readiness in LICs. From January 20th to February 18th, 2020 we administered the instrument at all four central hospitals and a simple random sample of nine of 24 district hospitals in Malawi, a landlocked and predominantly rural LIC of 19·1 million people in Southern Africa. The instrument contained questions on the availability of key resources across three domains and was administered to hospital administrators and clinicians from outpatient departments, emergency departments, and inpatient units. Results were used to generate an ECC Readiness Score, with a possible range of 0 to 1, for each facility. FINDINGS: A total of 114 staff members across 13 hospitals completed interviews for this study. Three (33%) district hospitals and all four central hospitals had ECC Readiness Scores above 0·5 (p-value 0·070). Absent equipment was identified as the most common barrier to ECC Readiness. Central hospitals had higher median ECC Readiness Scores with less variability 0·82 (interquartile range: 0·80-0·89) than district hospitals (0·33, 0·23 to 0·50, p-value 0·021). INTERPRETATION: This is the first study to employ a systematic approach to assessing ECC capacity and service readiness at both district and central hospitals in Malawi and provides a framework for measuring ECC capacity in other LICs. Prior ECC assessments potentially overestimated equipment availability and our methodology may provide a more accurate approach. There is an urgent need for investments in ECC services, particularly at district hospitals which are more accessible to Malawi's predominantly rural population. These findings highlight the need for long-term investments in health systems strengthening and underscore the importance of understanding capacity in LIC settings to inform these efforts. FUNDING: Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Department of Emergency Medicine, Brigham and Women's Hospital.

Estimating health care delivery system value for each US state and testing key associations.

OBJECTIVE: To estimate health care systems' value in treating major illnesses for each US state and identify system characteristics associated with value. DATA SOURCES: Annual condition-specific death and incidence estimates for each US state from the Global Burden Disease 2019 Study and annual health care spending per person for each state from the National Health Expenditure Accounts. STUDY DESIGN: Using non-linear meta-stochastic frontier analysis, mortality incidence ratios for 136 major treatable illnesses were regressed separately on per capita health care spending and key covariates such as age, obesity, smoking, and educational attainment. State- and year-specific inefficiency estimates were extracted for each health condition and combined to create a single estimate of health care delivery system value for each US state for each year, 1991-2014. The association between changes in health care value and changes in 23 key health care system characteristics and state policies was measured. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: US state with relatively high spending per person or relatively poor health-outcomes were shown to have low health care delivery system value. New Jersey, Maryland, Florida, Arizona, and New York attained the highest value scores in 2014 (81 [95% uncertainty interval 72-88], 80 [72-87], 80 [71-86], 77 [69-84], and 77 [66-85], respectively), after controlling for health care spending, age, obesity, smoking, physical activity, race, and educational attainment. Greater market concentration of hospitals and of insurers were associated with worse health care value (p-value ranging from <0.01 to 0.02). Higher hospital geographic density and use were also associated with worse health care value (p-value ranging from 0.03 to 0.05). Enrollment in Medicare Advantage HMOs was associated with better value, as was more generous Medicaid income eligibility (p-value 0.04 and 0.01). CONCLUSIONS: Substantial variation in the value of health care exists across states. Key health system characteristics such as market concentration and provider density were associated with value.

Healthcare spending in U.S. emergency departments by health condition, 2006-2016.

BACKGROUND: Healthcare spending in the emergency department (ED) setting has received intense focus from policymakers in the United States (U.S.). Relatively few studies have systematically evaluated ED spending over time or disaggregated ED spending by policy-relevant groups, including health condition, age, sex, and payer to inform these discussions. This study's objective is to estimate ED spending trends in the U.S. from 2006 to 2016, by age, sex, payer, and across 154 health conditions and assess ED spending per visit over time. METHODS AND FINDINGS: This observational study utilized the National Emergency Department Sample, a nationally representative sample of hospital-based ED visits in the U.S. to measure healthcare spending for ED care. All spending estimates were adjusted for inflation and presented in 2016 U.S. Dollars. Overall ED spending was $79.2 billion (CI, $79.2 billion-$79.2 billion) in 2006 and grew to $136.6 billion (CI, $136.6 billion-$136.6 billion) in 2016, representing a population-adjusted annualized rate of change of 4.4% (CI, 4.4%-4.5%) as compared to total healthcare spending (1.4% [CI, 1.4%-1.4%]) during that same ten-year period. The percentage of U.S. health spending attributable to the ED has increased from 3.9% (CI, 3.9%-3.9%) in 2006 to 5.0% (CI, 5.0%-5.0%) in 2016. Nearly equal parts of ED spending in 2016 was paid by private payers (49.3% [CI, 49.3%-49.3%]) and public payers (46.9% [CI, 46.9%-46.9%]), with the remainder attributable to out-of-pocket spending (3.9% [CI, 3.9%-3.9%]). In terms of key groups, the majority of ED spending was allocated among females (versus males) and treat-and-release patients (versus those hospitalized); those between age 20-44 accounted for a plurality of ED spending. Road injuries, falls, and urinary diseases witnessed the highest levels of ED spending, accounting for 14.1% (CI, 13.1%-15.1%) of total ED spending in 2016. ED spending per visit also increased over time from $660.0 (CI, $655.1-$665.2) in 2006 to $943.2 (CI, $934.3-$951.6) in 2016, or at an annualized rate of 3.4% (CI, 3.3%-3.4%). CONCLUSIONS: Though ED spending accounts for a relatively small portion of total health system spending in the U.S., ED spending is sizable and growing. Understanding which diseases are driving this spending is helpful for informing value-based reforms that can impact overall health care costs.

US Health Care Spending by Race and Ethnicity, 2002-2016.

Importance: Measuring health care spending by race and ethnicity is important for understanding patterns in utilization and treatment. Objective: To estimate, identify, and account for differences in health care spending by race and ethnicity from 2002 through 2016 in the US. Design, Setting, and Participants: This exploratory study included data from 7.3 million health system visits, admissions, or prescriptions captured in the Medical Expenditure Panel Survey (2002-2016) and the Medicare Current Beneficiary Survey (2002-2012), which were combined with the insured population and notified case estimates from the National Health Interview Survey (2002; 2016) and health care spending estimates from the Disease Expenditure project (1996-2016). Exposure: Six mutually exclusive self-reported race and ethnicity groups. Main Outcomes and Measures: Total and age-standardized health care spending per person by race and ethnicity for each year from 2002 through 2016 by type of care. Health care spending per notified case by race and ethnicity for key diseases in 2016. Differences in health care spending across race and ethnicity groups were decomposed into differences in utilization rate vs differences in price and intensity of care. Results: In 2016, an estimated $2.4 trillion (95% uncertainty interval [UI], $2.4 trillion-$2.4 trillion) was spent on health care across the 6 types of care included in this study. The estimated age-standardized total health care spending per person in 2016 was $7649 (95% UI, $6129-$8814) for American Indian and Alaska Native (non-Hispanic) individuals; $4692 (95% UI, $4068-$5202) for Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals; $7361 (95% UI, $6917-$7797) for Black (non-Hispanic) individuals; $6025 (95% UI, $5703-$6373) for Hispanic individuals; $9276 (95% UI, $8066-$10 601) for individuals categorized as multiple races (non-Hispanic); and $8141 (95% UI, $8038-$8258) for White (non-Hispanic) individuals, who accounted for an estimated 72% (95% UI, 71%-73%) of health care spending. After adjusting for population size and age, White individuals received an estimated 15% (95% UI, 13%-17%; P < .001) more spending on ambulatory care than the all-population mean. Black (non-Hispanic) individuals received an estimated 26% (95% UI, 19%-32%; P < .001) less spending than the all-population mean on ambulatory care but received 19% (95% UI, 3%-32%; P = .02) more on inpatient and 12% (95% UI, 4%-24%; P = .04) more on emergency department care. Hispanic individuals received an estimated 33% (95% UI, 26%-37%; P < .001) less spending per person on ambulatory care than the all-population mean. Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals received less spending than the all-population mean on all types of care except dental (all P < .001), while American Indian and Alaska Native (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 90% more; 95% UI, 11%-165%; P = .04), and multiple-race (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 40% more; 95% UI, 19%-63%; P = .006). All 18 of the statistically significant race and ethnicity spending differences by type of care corresponded with differences in utilization. These differences persisted when controlling for underlying disease burden. Conclusions and Relevance: In the US from 2002 through 2016, health care spending varied by race and ethnicity across different types of care even after adjusting for age and health conditions. Further research is needed to determine current health care spending by race and ethnicity, including spending related to the COVID-19 pandemic.

An Implementation Research Approach to Re-orient Health Supply Chains Toward an Equity Agenda in the COVID-19 Era.

The Covid-19 pandemic has exposed critical inequities in global healthcare supply chains and the need for these systems to be analyzed and reoriented with an equity lens. Implementation research methodology can guide the use of evidence-based interventions to re-orient health supply chains towards equity and optimize health outcomes. Using this approach, private and public sector entities can adapt their strategies to focus not just on efficiency and cost savings but ensuring that vulnerable populations have access to essential medications, vaccines, and supplies. Findings can inform regulations that address supply chain inequities at the global level, strengthen existing systems to fill structural gaps at the national level, and address contextual challenges at the subnational level. This methodology can help account for historical practices from prior health initiatives, identify contemporary barriers and facilitators for positive change, and have applicability to the Covid-19 pandemic and ongoing vaccine distribution efforts. An implementation research approach is critical in equipping health supply chains with a path for more resilient and equitable distribution of necessary supplies, vaccines, and delivery of care.

Addressing the mental health needs of children affected by HIV in Rwanda: validation of a rapid depression screening tool for children 7-14 years old.

BACKGROUND: Depression in children presents a significant health burden to society and often co-exists with chronic illnesses, such as human immunodeficiency virus (HIV). Research has demonstrated that 10-37% of children and adolescents living with HIV also suffer from depression. Low-and-middle income countries (LMICs) shoulder a disproportionate burden of HIV among other health challenges, but reliable estimates of co-morbid depression are lacking in these settings. Prior studies in Rwanda, a LMIC of 12 million people in East Africa, found that 25% of children living with HIV met criteria for depression. Though depression may negatively affect adherence to HIV treatment among children and adolescents, most LMICs fail to routinely screen children for mental health problems due to a shortage of trained health care providers. While some screening tools exist, they can be costly to implement in resource-constrained settings and are often lacking a contextual appropriateness. METHODS: Relying on international guidelines for diagnosing depression, Rwandan health experts developed a freely available, open-access Child Depression Screening Tool (CDST). To validate this tool in Rwanda, a sample of 296 children with a known diagnosis of HIV between ages 7-14 years were recruited as study participants. In addition to completing the CDST, all participants were evaluated by a mental health professional using a structured clinical interview. The validity of the CDST was assessed in terms of sensitivity, specificity, and a receiver operating characteristic (ROC) curve. RESULTS: This analysis found that depression continues to be a co-morbid condition among children living with HIV in Rwanda. For identifying these at-risk children, the CDST had a sensitivity of 88.1% and specificity of 96.5% in identifying risk for depression among children living with HIV at a cutoff score of 6 points. This corresponded with an area under the ROC curve of 92.3%. CONCLUSIONS: This study provides evidence that the CDST is a valid tool for screening depression among children affected by HIV in a resource-constrained setting. As an open-access and freely available tool in LMICs, the CDST can allow any health practitioner to identify children at risk of depression and refer them in a timely manner to more specialized mental health services. Future work can show if and how this tool has the potential to be useful in screening depression in children suffering from other chronic illnesses.

Assessing Catastrophic Health Expenditures Among Uninsured People Who Seek Care in US Hospital-Based Emergency Departments.

Importance: Uninsured people uniquely rely on the emergency department (ED) for care as they are less likely to have access to lower-cost alternatives. Prior work has demonstrated that most uninsured patients are at risk of catastrophic health expenditure (CHE) after being hospitalized for life-saving care. The risk of CHE for a single treat-and-release ED visit that does not result in a hospitalization among uninsured patient encounters is currently unknown. Objective: To estimate the overall national risk of CHE among uninsured patients after a single treat-and-release ED visit from 2006 through 2017, and to characterize this risk across key traits. Design Setting and Population: This cross-sectional study is based on a nationally representative sample of hospital-based ED visits between 2006 and 2017 in the United States (US) from the Nationwide Emergency Department Sample (NEDS). It examined outpatient ED visits among uninsured patients. Main Outcomes and Measures: Risk of CHE for ED care defined as an ED charge that exceeds 40% of one's estimated annual post-subsistence income. Results: From 2006 to 2017, there were 41.7 million NEDS encounters that met inclusion criteria for this analysis, equating to a nationally weighted estimate of 184.6 million uninsured treat-and-release ED encounters over this period. The median ED charge for a single treat-and-release encounter grew from $842 in 2006 to $2033 by 2017. Approximately 1 in 5 uninsured patients (18% [95% CI, 18.0%-18.0%]) were at risk of CHE for a single treat-and-release ED visit over the study period. This estimated CHE risk increased from 13.6% (95% CI, 13.6%-13.6%) in 2006 to 22.6% (95% CI, 22.6%-22.7%) in 2017. Those living in the lowest income quartile faced a disproportionate share of this risk, with nearly 1 in 3 (28.5% [95% CI, 28.5%-28.6%]) facing CHE risk in 2017. In 2017, an estimated 3.2 million patient encounters nationally were at risk of CHE after a single treat-and-release ED visit. Conclusions and Relevance: This cross-sectional analysis from 2006 to 2017 of 184.6 million uninsured treat-and-release visits found that 1 in 5 uninsured patient encounters are at risk for CHE. This risk has grown over time. Future policies designed to improve access for unscheduled care must consider the unique role of the ED as the de facto safety net and ensure that uninsured patients are not at undue risk of financial harm for seeking care.

US Health Care Spending by Payer and Health Condition, 1996-2016.

Importance: US health care spending has continued to increase and now accounts for 18% of the US economy, although little is known about how spending on each health condition varies by payer, and how these amounts have changed over time. Objective: To estimate US spending on health care according to 3 types of payers (public insurance [including Medicare, Medicaid, and other government programs], private insurance, or out-of-pocket payments) and by health condition, age group, sex, and type of care for 1996 through 2016. Design and Setting: Government budgets, insurance claims, facility records, household surveys, and official US records from 1996 through 2016 were collected to estimate spending for 154 health conditions. Spending growth rates (standardized by population size and age group) were calculated for each type of payer and health condition. Exposures: Ambulatory care, inpatient care, nursing care facility stay, emergency department care, dental care, and purchase of prescribed pharmaceuticals in a retail setting. Main Outcomes and Measures: National spending estimates stratified by health condition, age group, sex, type of care, and type of payer and modeled for each year from 1996 through 2016. Results: Total health care spending increased from an estimated $1.4 trillion in 1996 (13.3% of gross domestic product [GDP]; $5259 per person) to an estimated $3.1 trillion in 2016 (17.9% of GDP; $9655 per person); 85.2% of that spending was included in this study. In 2016, an estimated 48.0% (95% CI, 48.0%-48.0%) of health care spending was paid by private insurance, 42.6% (95% CI, 42.5%-42.6%) by public insurance, and 9.4% (95% CI, 9.4%-9.4%) by out-of-pocket payments. In 2016, among the 154 conditions, low back and neck pain had the highest amount of health care spending with an estimated $134.5 billion (95% CI, $122.4-$146.9 billion) in spending, of which 57.2% (95% CI, 52.2%-61.2%) was paid by private insurance, 33.7% (95% CI, 30.0%-38.4%) by public insurance, and 9.2% (95% CI, 8.3%-10.4%) by out-of-pocket payments. Other musculoskeletal disorders accounted for the second highest amount of health care spending (estimated at $129.8 billion [95% CI, $116.3-$149.7 billion]) and most had private insurance (56.4% [95% CI, 52.6%-59.3%]). Diabetes accounted for the third highest amount of the health care spending (estimated at $111.2 billion [95% CI, $105.7-$115.9 billion]) and most had public insurance (49.8% [95% CI, 44.4%-56.0%]). Other conditions estimated to have substantial health care spending in 2016 were ischemic heart disease ($89.3 billion [95% CI, $81.1-$95.5 billion]), falls ($87.4 billion [95% CI, $75.0-$100.1 billion]), urinary diseases ($86.0 billion [95% CI, $76.3-$95.9 billion]), skin and subcutaneous diseases ($85.0 billion [95% CI, $80.5-$90.2 billion]), osteoarthritis ($80.0 billion [95% CI, $72.2-$86.1 billion]), dementias ($79.2 billion [95% CI, $67.6-$90.8 billion]), and hypertension ($79.0 billion [95% CI, $72.6-$86.8 billion]). The conditions with the highest spending varied by type of payer, age, sex, type of care, and year. After adjusting for changes in inflation, population size, and age groups, public insurance spending was estimated to have increased at an annualized rate of 2.9% (95% CI, 2.9%-2.9%); private insurance, 2.6% (95% CI, 2.6%-2.6%); and out-of-pocket payments, 1.1% (95% CI, 1.0%-1.1%). Conclusions and Relevance: Estimates of US spending on health care showed substantial increases from 1996 through 2016, with the highest increases in population-adjusted spending by public insurance. Although spending on low back and neck pain, other musculoskeletal disorders, and diabetes accounted for the highest amounts of spending, the payers and the rates of change in annual spending growth rates varied considerably.

Creating a pathway for public hospital accreditation in Rwanda: progress, challenges and lessons learned.

QUALITY PROBLEM: Weaknesses in the quality of care delivered at hospitals translates into patient safety challenges and causes unnecessary harm. Low-and-middle-income countries disproportionately shoulder the burden of poor quality of hospital care. INITIAL ASSESSMENT: In the early 2000s, Rwanda implemented a performance-based financing (PBF) system to improve quality and increase the quantity of care delivered at its public hospitals. PBF evaluations identified quality gaps that prompted a movement to pursue an accreditation process for public hospitals. CHOICE OF SOLUTION: Since it was prohibitively costly to implement an accreditation program overseen by an external entity to all of Rwanda's public hospitals, the Ministry of Health developed a set of standards for a national 3-Level accreditation program. IMPLEMENTATION: In 2012, Rwanda launched the first phase of the national accreditation system at five public hospitals. The program was then expected to expand across the remainder of the public hospitals throughout the country. EVALUATION: Out of Rwanda's 43 public hospitals, a total of 24 hospitals have achieved Level 1 status of the accreditation process and 4 have achieved Level 2 status of the accreditation process. LESSONS LEARNED: Linking the program to the country's existing PBF program increased compliance and motivation for participation, especially for those who were unfamiliar with accreditation principles. Furthermore, identifying dedicated quality improvement officers at each hospital has been important for improving engagement in the program. Lastly, to improve upon this process, there are ongoing efforts to develop a non-governmental accreditation entity to oversee this process for Rwanda's health system moving forward.

Impact of Affordable Care Act-related insurance expansion policies on mortality and access to post-discharge care for trauma patients: an analysis of the National Trauma Data Bank.

BACKGROUND: Uninsured trauma patients have worse outcomes and worse access to post-discharge care that is critically important for recovery after injury. Little is known regarding the impact of the insurance coverage expansion policies of the Affordable Care Act (ACA), most notably state-level Medicaid expansion, on trauma patients. In this study, we examine the national impact of these policies on payer mix, inpatient mortality, and access to post-acute care for trauma patients. METHODS: We used the 2011-2016 National Trauma Data Bank to evaluate for changes in insurance coverage among trauma patients 18-64 years old. Our pre-/post-expansion models defined 2011-2013 as the pre-policy period, 2015-2016 as the post-policy period, and 2014 as a washout year. To evaluate for policy-associated changes in inpatient mortality and discharge disposition among the policy-eligible sample, we leveraged multivariable linear regression techniques to adjust for year-to-year variation in patient demographics, injury characteristics, and facility traits. We then examined the relationship between the magnitude of facility-level reductions in uninsured patients and access to post-acute care after policy implementation. RESULTS: We identified 1,656,469 patients meeting inclusion criteria between 2011 and 2016. The pre-policy uninsured rate of 23.4% fell by 5.9 percentage-points after coverage expansion (p < 0.001), with a corresponding 7.5 percentage-point increase in Medicaid coverage (p < 0.001). After policy implementation, there were no significant changes in inpatient mortality. However, there was a >30% relative increase in discharge to a post-acute care facility and a similar increase in discharge with home health services (p < 0.001 for both). The greatest gains in access to post-acute services were seen among facilities with the greatest reductions in their uninsured rate (p = 0.003). CONCLUSION: ACA-related coverage expansion policies, most notably Medicaid expansion, were associated with a >25% reduction in the uninsured rate among non-elderly adult trauma patients. Although no immediate impact on inpatient mortality was seen, insurance coverage expansion was associated with a higher proportion of patients receiving critically important post-discharge care. LEVEL OF EVIDENCE: Epidemiological, level III.

Potential impact of Affordable Care Act-related insurance expansion on trauma care reimbursement.

BACKGROUND: Nearly one quarter of trauma patients are uninsured and hospitals recoup less than 20% of inpatient costs for their care. This study examines changes to hospital reimbursement for inpatient trauma care if the full coverage expansion provisions of the Affordable Care Act (ACA) were in effect. METHODS: We abstracted nonelderly adults (ages 18-64 years) admitted for trauma from the Nationwide Inpatient Sample during 2010-the last year before most major ACA coverage expansion policies. We calculated national and facility-level reimbursements and trauma-related contribution margins using Nationwide Inpatient Sample-supplied cost-to-charge ratios and published reimbursement rates for each payer type. Using US census data, we developed a probabilistic microsimulation model to determine the proportion of pre-ACA uninsured trauma patients that would be expected to gain private insurance, Medicaid, or remain uninsured after full implementation of the ACA. We then estimated the impact of these coverage changes on national and facility-level trauma reimbursement for this population. RESULTS: There were 145,849 patients (representing 737,852 patients nationwide) included. National inpatient trauma costs for patients aged 18 years to 64 years totaled US $14.8 billion (95% confidence interval [CI], 12.5,17.1). Preexpansion reimbursements totaled US $13.7 billion (95% CI, 10.8-14.7), yielding a national margin of -7.9% (95% CI, -10.6 to -5.1). Postexpansion projected reimbursements totaled US $15.0 billion (95% CI, 12.7-17.3), increasing the margin by 9.3 absolute percentage points to +1.4% (95% CI, -0.3 to +3.2). Of the 263 eligible facilities, 90 (34.2%) had a positive trauma-related contribution margin in 2010, which increased to 171 (65.0%) using postexpansion projections. Those facilities with the highest proportion of uninsured and racial/ethnic minorities experienced the greatest gains. CONCLUSION: Health insurance coverage expansion for uninsured trauma patients has the potential to increase national reimbursement for inpatient trauma care by over one billion dollars and nearly double the proportion of hospitals with a positive margin for trauma care. These data suggest that insurance coverage expansion has the potential to improve trauma centers' financial viability and their ability to provide care for their communities. LEVEL OF EVIDENCE: Economic analysis, level II.

Transitioning to Country Ownership of HIV Programs in Rwanda.

Agnes Binagwaho and colleagues describe how Rwanda achieved country ownership of its HIV programs.