Impact of extreme weather events on healthcare utilization and mortality in the United States.

Climate change is intensifying extreme weather events. Yet a systematic analysis of post-disaster healthcare utilization and outcomes for severe weather and climate disasters, as tracked by the US government, is lacking. Following exposure to 42 US billion-dollar weather disasters (severe storm, flood, flood/severe storm, tropical cyclone and winter storm) between 2011 and 2016, we used a difference-in-differences (DID) approach to quantify changes in the rates of emergency department (ED) visits, nonelective hospitalizations and mortality between fee-for-service Medicare beneficiaries in affected compared to matched control counties in post-disaster weeks 1, 1-2 and 3-6. Overall, disasters were associated with higher rates of ED utilization in affected counties in post-disaster week 1 (DID of 1.22% (95% CI, 0.20% to 2.25%; P < 0.020)) through week 2. Nonelective hospitalizations were unchanged. Mortality was higher in affected counties in week 1 (DID of 1.40% (95% CI, 0.08% to 2.74%; P = 0.037)) and persisted for 6 weeks. Counties with the greatest loss and damage experienced greater increases in ED and mortality rates compared to all affected counties. Thus, billion-dollar weather disasters are associated with excess ED visits and mortality in Medicare beneficiaries. Tracking these outcomes is important for adaptation that protects patients and communities, health system resilience and policy.

Trends in performance of hospital outpatient procedures and associated 30-day costs among Medicare beneficiaries from 2011 to 2018.

BACKGROUND: United States healthcare has increasingly transitioned to outpatient care delivery. The degree to which Academic Medical Centers (AMCs) have been able to shift surgical procedures from inpatient to outpatient settings despite higher patient complexity is unknown. METHODS: This observational study used a 20% sample of fee-for-service Medicare beneficiaries age 65 and older undergoing eight elective procedures from 2011 to 2018 to model trends in procedure site (hospital outpatient vs. inpatient) and 30-day standardized Medicare costs, overall and by hospital teaching status. RESULTS: Of the 1,222,845 procedures, 15.9% occurred at AMCs. There was a 2.42% per-year adjusted increase (95% CI 2.39%-2.45%; p < .001) in proportion of outpatient hospital procedures, from 68.9% in 2011 to 85.4% in 2018. Adjusted 30-day standardized costs declined from $18,122 to $14,353, (-$560/year, 95% CI -$573 to -$547; p < .001). Patients at AMCs had more chronic conditions and higher predicted annual mortality. AMCs had a lower proportion of outpatient procedures in all years compared to non-AMCs, a difference that was statistically significant but small in magnitude. AMCs had higher costs compared to non-AMCs and a lesser decline over time (p < .001 for the interaction). AMCs and non-AMCs saw a similar decline in 30-day mortality. CONCLUSIONS: There has been a substantial shift toward outpatient procedures among Medicare beneficiaries with a decrease in total 30-day Medicare spending as well as 30-day mortality. Despite a higher complexity population, AMCs shifted procedures to the outpatient hospital setting at a similar rate as non-AMCs. IMPLICATIONS: The trend toward outpatient procedural care and lower spending has been observed broadly across AMCs and non-AMCs, suggesting that Medicare beneficiaries have benefited from more efficient delivery of procedural care across academic and community hospitals.

Association of Academic Medical Center Presence With Clinical Outcomes at Neighboring Community Hospitals Among Medicare Beneficiaries.

Importance: Studies suggest that academic medical centers (AMCs) have better outcomes than nonteaching hospitals. However, whether AMCs have spillover benefits for patients treated at neighboring community hospitals is unknown. Objective: To examine whether market-level AMC presence is associated with outcomes for patients treated at nonteaching hospitals within the same markets. Design, Setting, and Participants: This retrospective, population-based cohort study assessed traditional Medicare beneficiaries aged 65 years and older discharged from US acute care hospitals between 2015 and 2017 (100% sample). Data were analyzed from August 2021 to December 2022. Exposures: The primary exposure was market-level AMC presence. Health care markets (ie, hospital referral regions) were categorized by AMC presence (percentage of hospitalizations at AMCs) as follows: no presence (0%), low presence (>0% to 20%), moderate presence (>20% to 35%), and high presence (>35%). Main Outcomes and Measures: The primary outcomes were 30-day and 90-day mortality and healthy days at home (HDAH), a composite outcome reflecting mortality and time spent in facility-based health care settings. Results: There were 22 509 824 total hospitalizations, with 18 865 229 (83.8%) at non-AMCs. The median (IQR) age of patients was 78 (71-85) years, and 12 568 230 hospitalizations (55.8%) were among women. Of 306 hospital referral regions, 191 (62.4%) had no AMCs, 61 (19.9%) had 1 AMC, and 55 (17.6%) had 2 or more AMCs. Markets characteristics differed significantly by category of AMC presence, including mean population, median income, proportion of White residents, and physicians per population. Compared with markets with no AMC presence, receiving care at a non-AMC in a market with greater AMC presence was associated with lower 30-day mortality (9.5% vs 10.1%; absolute difference, -0.7%; 95% CI, -1.0% to -0.4%; P < .001) and 90-day mortality (16.1% vs 16.9%; absolute difference, -0.8%; 95% CI, -1.2% to -0.4%; P < .001) and more HDAH at 30 days (16.49 vs 16.12 HDAH; absolute difference, 0.38 HDAH; 95% CI, 0.11 to 0.64 HDAH; P = .005) and 90 days (61.08 vs 59.83 HDAH; absolute difference, 1.25 HDAH; 95% CI, 0.58 to 1.92 HDAH; P < .001), after adjustment. There was no association between market-level AMC presence and mortality for patients treated at AMCs themselves. Conclusions and Relevance: AMCs may have spillover effects on outcomes for patients treated at non-AMCs, suggesting that they have a broader impact than is traditionally recognized. These associations are greatest in markets with the highest AMC presence and persist to 90 days.

The Association Of HIV With Health Care Spending And Use Among Medicare Beneficiaries.

An increasingly older population of people with HIV raises concerns about how HIV may influence care for Medicare patients. We therefore sought to determine the extent to which HIV influences additional spending on and use of mental health and medical care among Medicare beneficiaries and, importantly, whether treatment with antiretroviral therapy may reduce this additional spending. Using 2016 Medicare claims, we compared risk-adjusted spending and utilization for Medicare beneficiaries with and without HIV, as well as subgroups of people receiving antiretroviral therapy (ART). Compared to beneficiaries without HIV, those with HIV receiving ART incurred 220.6 percent more spending, mostly driven by ART spending, whereas those with HIV not receiving ART incurred 95.4 percent more spending. Among beneficiaries with HIV, those receiving more months of ART had lower spending on treatment for other chronic conditions relative to those receiving fewer months of ART in a dose-response manner. Beneficiaries with HIV not receiving ART incurred the highest spending related to infections, mental health disorders, and other medical conditions compared to beneficiaries in other HIV subgroups receiving ART for various numbers of months. Our findings suggest that ART may be associated with Medicare Parts A and B savings, but ART adherence and the high prices of HIV drugs in Part D need to be addressed.

Marketplace Health Insurance Ratings: Most Potential Enrollees Have Access To Plans Of Medium Or High Quality.

The Affordable Care Act (ACA) Marketplace plays a critical role in providing affordable health insurance for the nongroup market, yet the accessibility of plans from insurers with high quality ratings has not been investigated. Our analysis of recently released insurer quality star ratings for plan year 2020 found substantial variation in access to high rated plans in the federally facilitated ACA Marketplace. In most participating counties (1,390 of 2,265, or 61.4 percent), the highest-rated ACA Marketplace insurer had a three-star rating. Fewer than one-third of counties (703, or 31.0 percent) had access to four- or five-star-rated insurers. Fewer than 10 percent (172, or 7.6 percent) had access to only one- or two-star-rated insurers. In plan-based analyses, each one-point increase in star rating was associated with a $28 increase in the average monthly plan premium. Counties with the highest proportion of residents obtaining individual coverage through the ACA Marketplace and counties with more insurers were the most likely to have access to plans from high-rated insurers. We found no systematic racial or ethnic disparities in access to plans from high-rated insurers. Policy makers should continue to monitor the quality of available health plans.

ACO Spending and Utilization Among Medicare Patients at the End of Life: an Observational Study.

BACKGROUND: End-of-life (EOL) costs constitute a substantial portion of healthcare spending in the USA and have been increasing. ACOs may offer an opportunity to improve quality and curtail EOL spending. OBJECTIVE: To examine whether practices that became ACOs altered spending and utilization at the EOL. DESIGN: Retrospective analysis of Medicare claims. PATIENTS: We assigned patients who died in 2012 and 2015 to an ACO or non-ACO practice. Practices that converted to ACOs in 2013 or 2014 were matched to non-ACOs in the same region. A total of 23,643 ACO patients were matched to 23,643 non-ACO patients. MAIN MEASURES: Using a difference-in-differences model, we examined changes in EOL spending and care utilization after ACO implementation. KEY RESULTS: The introduction of ACOs did not significantly impact overall spending for patients in the last 6 months of life (difference-in-difference (DID) = $192, 95%CI -$841 to $1125, P = 0.72). Changes in spending did not differ between ACO and non-ACO patients across spending categories (inpatient, outpatient, physician services, skilled nursing, home health, hospice). No differences were seen between ACO and non-ACO patients in rates of ED visits, inpatient admissions, ICU admission, mean healthy days at home, and mean hospice days at 180 and 30 days prior to death. However, non-ACO patients had a significantly greater increase in hospice utilization compared to ACO patients at 180 days (DID P-value = 0.02) and 30 days (DID P-value = 0.01) prior to death. CONCLUSIONS: With the exception of hospice care utilization, spending and utilization were not different between ACOs and non-ACO patients at the EOL. Longer follow-up may be necessary to evaluate the impact of ACOs on EOL spending and care.

Spending outcomes among patients with cancer in accountable care organizations 4 years after implementation.

BACKGROUND: The long-term impact of affordable care organizations (ACOs) on cancer spending remains unknown. The authors examined whether practices that became ACOs altered their spending for patients with cancer in the first 4 years after ACO implementation. METHODS: By using national Medicare data from 2011 to 2017, a random sample of 20% of fee-for-service Medicare beneficiaries aged 65 years and older with cancer was obtained (n = 866,532), and each patient was assigned to a practice. Practices that became ACOs in the Medicare Shared Savings Program were matched to non-ACO practices. Total, cancer-specific, and service category-specific yearly spending per patient was calculated. A difference-in-differences model was used to determine spending changes associated with ACO status for patients with cancer in the 4 years after ACO implementation. RESULTS: The introduction of ACOs did not have a significant impact on overall spending for patients with cancer in the 2 years after ACO implementation (difference, -$38; 95% CI, -$268, $191; P = .74). Changes in spending also did not differ between ACO and non-ACO patients within service categories or among the 11 cancer types examined. The lack of difference in spending for patients with cancer in ACO and non-ACO practices persisted in the third and fourth years after ACO implementation (difference, -$120; 95% CI, -$284, $525; P = .56). CONCLUSIONS: ACOs did not significantly change spending for patients with cancer in the first 4 years after their implementation compared with non-ACOs. This prompts a reevaluation of the current efficacy of ACOs in reducing spending for cancer care and may encourage policymakers to reconsider the incentive structures of ACOs. LAY SUMMARY: Accountable care organizations (ACOs) were developed to curtail health care spending and improve quality, but their effects on cancer spending in their first 2 years have been minimal. The long-term impact of ACOs on cancer spending remains unknown. By using data from 866,532 Medicare beneficiaries with cancer, the authors observed that the association of a practice with an ACO did not significantly change total yearly spending per patient in the first 4 years after ACO implementation. This finding prompts a reevaluation of the current efficacy of ACOs in reducing spending for cancer care.

A methodology for identifying high-need, high-cost patient personas for international comparisons.

OBJECTIVE: To establish a methodological approach to compare two high-need, high-cost (HNHC) patient personas internationally. DATA SOURCES: Linked individual-level administrative data from the inpatient and outpatient sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. STUDY DESIGN: We outline a methodological approach to identify HNHC patient types for international comparisons that reflect complex, priority populations defined by the National Academy of Medicine. We define two patient profiles using accessible patient-level datasets linked across different domains of care-hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, long-term care, home-health care, and outpatient drugs. The personas include a frail older adult with a hip fracture with subsequent hip replacement and an older person with complex multimorbidity, including heart failure and diabetes. We demonstrate their comparability by examining the characteristics and clinical diagnoses captured across countries. DATA COLLECTION/EXTRACTION METHODS: Data collected by ICCONIC partners. PRINCIPAL FINDINGS: Across 11 countries, the identification of HNHC patient personas was feasible to examine variations in healthcare utilization, spending, and patient outcomes. The ability of countries to examine linked, individual-level data varied, with the Netherlands, Canada, and Germany able to comprehensively examine care across all seven domains, whereas other countries such as England, Switzerland, and New Zealand were more limited. All countries were able to identify a hip fracture persona and a heart failure persona. Patient characteristics were reassuringly similar across countries. CONCLUSION: Although there are cross-country differences in the availability and structure of data sources, countries had the ability to effectively identify comparable HNHC personas for international study. This work serves as the methodological paper for six accompanying papers examining differences in spending, utilization, and outcomes for these personas across countries.

Healthy days at home: A population-based quality measure for cancer patients at the end of life.

BACKGROUND: Healthy Days at Home (HDAH) is a novel population-based outcome measure. In this study, its use as a potential measure for cancer patients at the end of life (EOL) was explored. METHODS: Patient demographics and health care use among Medicare beneficiaries with cancer who died over the years 2014 to 2017 were identified. The HDAH was calculated by subtracting the following components from 180 days: number of days spent in inpatient and outpatient hospital observation, the emergency room, skilled nursing facilities (SNF), inpatient psychiatry, inpatient rehabilitation, long-term hospitals, and inpatient hospice. How HDAH and its components varied by beneficiary demographics and health care market were evaluated. A patient-level linear regression model with HDAH as the outcome, hospital referral region (HRR) random effects, and market fixed effects were specified, as well as beneficiary age, sex, and comorbidities as covariates. RESULTS: The 294,751 beneficiaries at the EOL showed a mean number of 154.0 HDAH (out of 180 days). Inpatient (10.7 days) and SNF (9.7 days) resulted in the most substantial reductions in HDAH. Males had fewer adjusted HDAH (153.1 vs 155.7, P < .001) than females; Medicaid-eligible patients had fewer HDAH compared with non-Medicaid-eligible patients (152.0 vs 154.9; P < .001). Those with hematologic malignancies had the fewest number of HDAH (148.9). Across HRRs, HDAH ranged from 10.8 fewer to 10.9 more days than the national mean. At the HRR-level, home hospice was associated with greater HDAH, whereas home health was associated with fewer HDAH. CONCLUSIONS: HDAH may be a useful measure to understand, quantify, and improve patient-centered outcomes for cancer patients at EOL.

International comparison of health spending and utilization among people with complex multimorbidity.

OBJECTIVE: The objective of this study was to explore cross-country differences in spending and utilization across different domains of care for a multimorbid persona with heart failure and diabetes. DATA SOURCES: We used individual-level administrative claims or registry data from inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States (US). DATA COLLECTION/EXTRACTION METHODS: Data collected by ICCONIC partners. STUDY DESIGN: We retrospectively analyzed age-sex standardized utilization and spending of an older person (65-90 years) hospitalized with a heart failure exacerbation and a secondary diagnosis of diabetes across five domains of care: hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. PRINCIPAL FINDINGS: Sample sizes ranged from n = 1270 in Spain to n = 21,803 in the United States. Mean age (standard deviation [SD]) ranged from 76.2 (5.6) in the Netherlands to 80.3 (6.8) in Sweden. We observed substantial variation in spending and utilization across care settings. On average, England spent $10,956 per person in hospital care while the United States spent $30,877. The United States had a shorter length of stay over the year (18.9 days) compared to France (32.9) and Germany (33.4). The United States spent more days in facility-based rehabilitative care than other countries. Australia spent $421 per person in primary care, while Spain (Aragon) spent $1557. The United States and Canada had proportionately more visits to specialist providers than primary care providers. Across almost all sectors, the United States spent more than other countries, suggesting higher prices per unit. CONCLUSION: Across 11 countries, there is substantial variation in health care spending and utilization for a complex multimorbid persona with heart failure and diabetes. Drivers of spending vary across countries, with the United States being the most expensive country due to high prices and higher use of facility-based rehabilitative care.

Differences in health care spending and utilization among older frail adults in high-income countries: ICCONIC hip fracture persona.

OBJECTIVE: This study explores differences in spending and utilization of health care services for an older person with frailty before and after a hip fracture. DATA SOURCES: We used individual-level patient data from five care settings. STUDY DESIGN: We compared utilization and spending of an older person aged older than 65 years for 365 days before and after a hip fracture across 11 countries and five domains of care as follows: acute hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. Utilization and spending were age and sex standardized.. DATA COLLECTION/EXTRACTION METHODS: The data were compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries as follows: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The sample ranged from 1859 patients in Spain to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia. The majority of patients across countries were female. Relative to other countries, the United States had the lowest inpatient length of stay (11.3), but the highest number of days were spent in post-acute care rehab (100.7) and, on average, had more visits to specialist providers (6.8 per year) than primary care providers (4.0 per year). Across almost all sectors, the United States spent more per person than other countries per unit ($13,622 per hospitalization, $233 per primary care visit, $386 per MD specialist visit). Patients also had high expenditures in the year prior to the hip fracture, mostly concentrated in the inpatient setting. CONCLUSION: Across 11 high-income countries, there is substantial variation in health care spending and utilization for an older person with frailty, both before and after a hip fracture. The United States is the most expensive country due to high prices and above average utilization of post-acute rehab care.

Differences in health outcomes for high-need high-cost patients across high-income countries.

OBJECTIVE: This study explores variations in outcomes of care for two types of patient personas-an older frail person recovering from a hip fracture and a multimorbid older patient with congestive heart failure (CHF) and diabetes. DATA SOURCES: We used individual-level patient data from 11 health systems. STUDY DESIGN: We compared inpatient mortality, mortality, and readmission rates at 30, 90, and 365 days. For the hip fracture persona, we also calculated time to surgery. Outcomes were standardized by age and sex. DATA COLLECTION/EXTRACTION METHODS: Data was compiled by the International Collaborative on Costs, Outcomes and Needs in Care across 11 countries for the years 2016-2017 (or nearest): Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The hip sample across ranged from 1859 patients in Aragon, Spain, to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia, and the majority of hip patients across countries were female. The congestive heart failure (CHF) sample ranged from 742 patients in England to 21,803 in the United States. Mean age ranged from 77.2 in the United States to 80.3 in Sweden, and the majority of CHF patients were males. Average in-hospital mortality across countries was 4.1%. for the hip persona and 6.3% for the CHF persona. At the year mark, the mean mortality across all countries was 25.3% for the hip persona and 32.7% for CHF persona. Across both patient types, England reported the highest mortality at 1 year followed by the United States. Readmission rates for all periods were higher for the CHF persona than the hip persona. At 30 days, the average readmission rate for the hip persona was 13.8% and 27.6% for the CHF persona. CONCLUSION: Across 11 countries, there are meaningful differences in health system outcomes for two types of patients.

Impacts of social distancing policies on mobility and COVID-19 case growth in the US.

Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories have not been completely quantified. Using anonymized and aggregated mobility data from opted-in Google users, we found that state-level emergency declarations resulted in a 9.9% reduction in time spent away from places of residence. Implementation of one or more social distancing policies resulted in an additional 24.5% reduction in mobility the following week, and subsequent shelter-in-place mandates yielded an additional 29.0% reduction. Decreases in mobility were associated with substantial reductions in case growth two to four weeks later. For example, a 10% reduction in mobility was associated with a 17.5% reduction in case growth two weeks later. Given the continued reliance on social distancing policies to limit the spread of COVID-19, these results may be helpful to public health officials trying to balance infection control with the economic and social consequences of these policies.

Comparison of Patient Outcomes of Surgeons Who Are US Versus International Medical Graduates.

OBJECTIVE: The aim of this study was to compare patient outcomes between International Medical Graduate (IMG) versus US medical graduate (USMG) surgeons. SUMMARY BACKGROUND DATA: One in 7 surgeons practicing in the US graduated from a foreign medical school. However, it remains unknown whether patient outcomes differ between IMG versus USMG surgeons. METHODS: Using 20% random sample of Medicare fee-for-service beneficiaries aged 65 to 99 years who underwent 1 of 13 common nonelective surgical procedures (as a "natural experiment" as surgeons are less likely to select patients in this context) in 2011 to 2014 (638,973 patients treated by 37,221 surgeons for the mortality analysis), we compared operative mortality, complications, and length of stay (LOS) between IMG and USMG surgeons, adjusting for patient and surgeon characteristics and hospital-specific fixed effects (effectively comparing IMG and USMG surgeons within the same hospital). We also conducted stratified analyses by patients' severity of illness and procedure type. RESULTS: We found no evidence that patient outcomes differ between IMG and USMG surgeons for operative mortality [adjusted mortality, 7.3% for IMGs vs 7.3% for USMGs; adjusted odds ratio (aOR), 1.01; 95% confidence interval (CI), 0.96-1.05; P = 0.79], complication rate (adjusted complication rate, 0.6% vs 0.6%; aOR, 0.95; 95% CI, 0.85-1.06; P = 0.43), and LOS (adjusted LOS, 6.6 days vs 6.6 days; adjusted difference, +0.02 days; 95% CI, -0.05 to +0.08; P = 0.54). We also found no difference when we stratified by severity of illness and procedures. CONCLUSION: Using national data of Medicare beneficiaries who underwent common surgical procedures, we found no evidence that outcomes differ between IMG and USMG surgeons.

Changes in Racial Disparities in Mortality After Cancer Surgery in the US, 2007-2016.

Importance: Racial disparities are well documented in cancer care. Overall, in the US, Black patients historically have higher rates of mortality after surgery than White patients. However, it is unknown whether racial disparities in mortality after cancer surgery have changed over time. Objective: To examine whether and how disparities in mortality after cancer surgery have changed over 10 years for Black and White patients overall and for 9 specific cancers. Design, Setting, and Participants: In this cross-sectional study, national Medicare data were used to examine the 10-year (January 1, 2007, to November 30, 2016) changes in postoperative mortality rates in Black and White patients. Data analysis was performed from August 6 to December 31, 2019. Participants included fee-for-service beneficiaries enrolled in Medicare Part A who had a major surgical resection for 9 common types of cancer surgery: colorectal, bladder, esophageal, kidney, liver, ovarian, pancreatic, lung, or prostate cancer. Exposures: Cancer surgery among Black and White patients. Main Outcomes and Measures: Risk-adjusted 30-day, all-cause, postoperative mortality overall and for 9 specific types of cancer surgery. Results: A total of 870 929 cancer operations were performed during the 10-year study period. In the baseline year, a total of 103 446 patients had cancer operations (96 210 White patients and 7236 Black patients). Black patients were slightly younger (mean [SD] age, 73.0 [6.4] vs 74.5 [6.8] years), and there were fewer Black vs White men (3986 [55.1%] vs 55 527 [57.7%]). Overall national mortality rates following cancer surgery were lower for both Black (-0.12%; 95% CI, -0.17% to -0.06% per year) and White (-0.14%; 95% CI, -0.16% to -0.13% per year) patients. These reductions were predominantly attributable to within-hospital mortality improvements (Black patients: 0.10% annually; 95% CI, -0.15% to -0.05%; P < .001; White patients: 0.13%; 95% CI, -0.14% to -0.11%; P < .001) vs between-hospital mortality improvements. Across the 9 different cancer surgery procedures, there was no significant difference in mortality changes between Black and White patients during the period under study (eg, prostate cancer: 0.35; 95% CI, 0.02-0.68; lung cancer: 0.61; 95% CI, -0.21 to 1.44). Conclusions and Relevance: These findings offer mixed news for policy makers regarding possible reductions in racial disparities following cancer surgery. Although postoperative cancer surgery mortality rates improved for both Black and White patients, there did not appear to be any narrowing of the mortality gap between Black and White patients overall or across individual cancer surgery procedures.

Medicaid Expansion and Mortality Among Patients With Breast, Lung, and Colorectal Cancer.

Importance: Medicaid expansion under the Patient Protection and Affordable Care Act may be associated with increased screening and may improve access to earlier treatment for cancer, but its association with mortality for patients with cancer is uncertain. Objective: To determine whether Medicaid expansion is associated with improved mortality among patients with cancer. Design, Setting, and Participants: This is a quasi-experimental, difference-in-difference (DID), cross-sectional, population-based study. Patients in the National Cancer Database with breast, lung, or colorectal cancer newly diagnosed from January 1, 2012, to December 31, 2015, were included. Data analysis was performed from January to May 2020. Exposure: Living in a state where Medicaid was expanded vs a nonexpansion state. Main Outcomes and Measures: The main outcome was mortality rate according to whether the patient lived in a state where Medicaid was expanded. Results: A total of 523 802 patients (385 739 women [73.6%]; mean [SD] age, 54.8 [6.5] years) had a new diagnosis of invasive breast (273 272 patients [52.2%]), colorectal (111 720 patients [21.3%]), or lung (138 810 patients [26.5%]) cancer; 289 330 patients (55.2%) lived in Medicaid expansion states, and 234 472 patients (44.8%) lived in nonexpansion states. After Medicaid expansion, mortality significantly decreased in expansion states (hazard ratio [HR], 0.98; 95% CI, 0.97-0.99; P = .008) but not in nonexpansion states (HR, 1.01; 95% CI, 0.99-1.02; P = .43), resulting in a significant DID (HR, 1.03; 95% CI, 1.01-1.05; P = .01). This difference was seen primarily in patients with nonmetastatic cancer (stages I-III). After adjusting for cancer stage, the mortality improvement in expansion states from the periods before and after expansion was no longer evident (HR, 1.00; 95% CI, 0.98-1.02; P = .94), nor was the difference between expansion vs nonexpansion states (DID HR, 1.00; 95% CI, 0.98-1.02; P = .84). Conclusions and Relevance: Among patients with newly diagnosed breast, colorectal, and lung cancer, Medicaid expansion was associated with a decreased hazard of mortality in the postexpansion period, which was mediated by earlier stage of diagnosis.

Trends in Costs of Care for Medicare Beneficiaries Treated in the Emergency Department From 2011 to 2016.

Importance: There is little evidence regarding how total costs of care associated with an emergency department (ED) visit have changed, despite increasing policy focus on the value of acute care. Objective: To examine trends in total standardized 30-day costs of care associated with an ED visit. Design, Setting, and Participants: This cross-sectional study of 14 113 088 ED visits at 4730 EDs from 2011 to 2016 included a 20% national sample of traditional Medicare beneficiaries aged 65 years and older. Data analysis was conducted from August 2018 to April 2020. Exposures: Time (year) as a continuous variable. Main Outcomes and Measures: Trends in disposition from the ED and 30-day total standardized costs for all ED visits as well as the following spending components: index visit cost, physician costs, subsequent ED visit costs, subsequent inpatient costs, subsequent observation costs, non-ED outpatient care, postacute care, and aggregated total spending after the index ED visit. Results: The analytic sample consisted of 14 113 088 ED visits at 4730 EDs. The mean (SD) beneficiary age was 78.6 (8.6) years, 8 573 652 visits (60.7%) were among women, and 11 908 691 visits (84.7%) were among white patients. The proportion of patients discharged from the ED rose from 1 233 701 of 2 309 563 visits (53.4%) in 2011 to 1 279 701 of 2 268 363 visits (56.4%) in 2016. Total adjusted 30-day standardized costs of care declined from a mean (SE) of $8851 ($35.3) in 2011 to a mean (SE) of $8143 ($35.4) in 2016 (-$126/y; 95% CI, -$130 to -$121; P < .001) for all ED visits. This decrease was primarily associated with a decline in total spending on the index ED visit (-$48/y; 95% CI, -$50 to -$47; P < .001) as well as lower spending on postacute care (-$42/y; 95% CI, -$44 to -$41; P < .001) and subsequent inpatient care (-$34/y; 95% CI, -$36 to -$32; P < .001). There was an increase in spending after the index visit on downstream observation care ($3.6/y; 95% CI, $3.5 to $3.7; P < .001), outpatient ED care ($4.6/y; 95% CI, $4.4 to $4.8; P < .001), and other outpatient care ($15/y; 95% CI, $12 to $18; P < .001). Conclusions and Relevance: In this study, total 30-day standardized costs of ED care for Medicare beneficiaries decreased in recent years. It may be that more intensive ED spending up front is associated with reductions in total costs of an acute episode.