Higher Rates Of Emergency Surgery, Serious Complications, And Readmissions In Primary Care Shortage Areas, 2015-19.

Primary care physicians are often the first to screen and identify patients with access-sensitive surgical conditions that should be treated electively. These conditions require surgery that is preferably planned (elective), but, when access is limited, treatment may be delayed and worsening symptoms lead to emergency surgery (for example, colectomy for cancer, abdominal aortic aneurysm repair, and incisional hernia repair). We evaluated the rates of elective versus emergency surgery for patients with three access-sensitive surgical conditions living in primary care Health Professional Shortage Areas during 2015-19. Medicare beneficiaries in more severe primary care shortage areas had higher rates of emergency surgery compared with rates in the least severe shortage areas (37.8 percent versus 29.9 percent). They were also more likely to have serious complications (14.9 percent versus 11.7 percent) and readmissions (15.7 percent versus 13.5 percent). When we accounted for areas with a shortage of surgeons, the findings were similar. Taken together, these findings suggest that residents of areas with greater primary care workforce shortages may also face challenges in accessing elective surgical care. As policy makers consider investing in Health Professional Shortage Areas, our findings underscore the importance of primary care access to a broader range of services.

Financial toxicity part II: A practical guide to measuring and tracking long-term financial outcomes among acute care surgery patients.

ABSTRACT: Acute care surgery (ACS) patients are frequently faced with significant long-term recovery and financial implications that extend far beyond their hospitalization. While major injury and emergency general surgery (EGS) emergencies are often viewed solely as acute moments of crisis, the impact on patients can be lifelong. Financial outcomes after major injury or emergency surgery have only begun to be understood. The Healthcare Economics Committee from the American Association for the Surgery of Trauma previously published a conceptual overview of financial toxicity in ACS, highlighting the association between financial outcomes and long-term physical recovery. The aims of second-phase financial toxicity review by the Healthcare Economics Committee of the American Association for the Surgery of Trauma are to (1) understand the unique impact of financial toxicity on ACS patients; (2) delineate the current limitations surrounding measurement domains of financial toxicity in ACS; (3) explore the "when, what and how" of optimally capturing financial outcomes in ACS; and (4) delineate next steps for integration of these financial metrics in our long-term patient outcomes. As acute care surgeons, our patients' recovery is often contingent on equal parts physical, emotional, and financial recovery. The ACS community has an opportunity to impact long-term patient outcomes and well-being far beyond clinical recovery.

Health Insurance Status and Unplanned Surgery for Access-Sensitive Surgical Conditions.

Importance: Access-sensitive surgical conditions, such as abdominal aortic aneurysm, ventral hernia, and colon cancer, are ideally treated with elective surgery, but when left untreated have a natural history requiring an unplanned operation. Patients' health insurance status may be a barrier to receiving timely elective care, which may be associated with higher rates of unplanned surgery and worse outcomes. Objective: To evaluate the association between patients' insurance status and rates of unplanned surgery for these 3 access-sensitive surgical conditions and postoperative outcomes. Design, Setting, and Participants: This cross-sectional cohort study examined a geographically broad patient sample from the Healthcare Cost and Utilization Project State Inpatient Databases, including data from 8 states (Arizona, Colorado, Florida, Kentucky, Maryland, North Carolina, Washington, and Wisconsin). Participants were younger than 65 years who underwent abdominal aortic aneurysm repair, ventral hernia repair, or colectomy for colon cancer between 2016 and 2020. Patients were stratified into groups by insurance status. Data were analyzed from June 1 to July 1, 2023. Exposure: Health insurance status (private insurance, Medicaid, or no insurance). Main Outcomes and Measures: The primary outcome was the rate of unplanned surgery for these 3 access-sensitive conditions. Secondary outcomes were rates of postoperative outcomes including inpatient mortality, any hospital complications, serious complications (a complication with a hospital length of stay longer than the 75th percentile for that procedure), and hospital length of stay. Results: The study included 146 609 patients (mean [SD] age, 50.9 [10.3] years; 73 871 females [50.4%]). A total of 89 018 patients (60.7%) underwent elective surgery while 57 591 (39.3%) underwent unplanned surgery. Unplanned surgery rates varied significantly across insurance types (33.14% for patients with private insurance, 51.46% for those with Medicaid, and 72.60% for those without insurance; P < .001). Compared with patients with private insurance, patients without insurance had higher rates of inpatient mortality (1.29% [95% CI, 1.04%-1.54%] vs 0.61% [0.57%-0.66%]; P < .001), higher rates of any complications (19.19% [95% CI, 18.33%-20.05%] vs 12.27% [95% CI, 12.07%-12.47%]; P < .001), and longer hospital stays (7.27 [95% CI, 7.09-7.44] days vs 5.56 [95% CI, 5.53-5.60] days, P < .001). Conclusions and Relevance: Findings of this cohort study suggest that uninsured patients more often undergo unplanned surgery for conditions that can be treated electively, with worse outcomes and longer hospital stays compared with their counterparts with private health insurance. As efforts are made to improve insurance coverage, tracking elective vs unplanned surgery rates for access-sensitive surgical conditions may be a useful measure to assess progress.

The invisible scars: Unseen financial complications worsen every aspect of long-term health in trauma survivors.

BACKGROUND: Trauma survivors are susceptible to experiencing financial toxicity (FT). Studies have shown the negative impact of FT on chronic illness outcomes. However, there is a notable lack of data on FT in the context of trauma. We aimed to better understand prevalence, risk factors, and impact of FT on trauma long-term outcomes. METHODS: Adult trauma patients with an Injury Severity Score (ISS) ≥9 treated at Level I trauma centers were interviewed 6 months to 14 months after discharge. Financial toxicity was considered positive if patients reported any of the following due to the injury: income loss, lack of care, newly applied/qualified for governmental assistance, new financial problems, or work loss. The Impact of FT on Patient Reported Outcome Measure Index System (PROMIS) health domains was investigated. RESULTS: Of 577 total patients, 44% (254/567) suffered some form of FT. In the adjusted model, older age (odds ratio [OR], 0.4; 95% confidence interval [95% CI], 0.2-0.81) and stronger social support networks (OR, 0.44; 95% CI, 0.26-0.74) were protective against FT. In contrast, having two or more comorbidities (OR, 1.81; 95% CI, 1.01-3.28), lower education levels (OR, 1.95; 95% CI, 95%, 1.26-3.03), and injury mechanisms, including road accidents (OR, 2.69; 95% CI, 1.51-4.77) and intentional injuries (OR, 4.31; 95% CI, 1.44-12.86) were associated with higher toxicity. No significant relationship was found with ISS, sex, or single-family household. Patients with FT had worse outcomes across all domains of health. There was a negative linear relationship between the severity of FT and worse mental and physical health scores. CONCLUSION: Financial toxicity is associated with long-term outcomes. Incorporating FT risk assessment into recovery care planning may help to identify patients most in need of mitigative interventions across the trauma care continuum to improve trauma recovery. Further investigations to better understand, define, and address FT in trauma care are warranted. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Multicenter evaluation of financial toxicity and long-term health outcomes after injury.

BACKGROUND: Despite the growing awareness of the negative financial impact of traumatic injury on patients' lives, the association between financial toxicity and long-term health-related quality of life (hrQoL) among trauma survivors remains poorly understood. METHODS: Patients from nine trauma centers participating in a statewide trauma quality collaborative had responses from longitudinal survey data linked to inpatient trauma registry data. Financial toxicity was defined based on patient-reported survey responses regarding medical debt, work or income loss, nonmedical financial strain, and forgone care due to costs. A financial toxicity score ranging from 0 to 4 was calculated. Health-related quality of life was assessed using the EuroQol 5 Domain tool. Multivariable regression models evaluated the association between financial toxicity and hrQoL outcomes while adjusting for patient demographics, injury severity and inpatient treatment intensity, and health systems variables. RESULTS: Among the 403 patients providing 510 completed surveys, rates of individual financial toxicity elements ranged from 21% to 46%, with 65% of patients experiencing at least one element of financial toxicity. Patients with any financial toxicity had worse summary measures of hrQoL and higher rates of problems in all five EuroQol 5 Domain domains ( p < 0.05 for all). Younger age, lower household income, lack of insurance, more comorbidities, discharge to a facility, and air ambulance transportation were independently associated with higher odds of financial toxicity ( p < 0.05 for all). Injury traits and inpatient treatment intensity were not independently associated with financial toxicity. CONCLUSION: A majority of trauma survivors in this study experienced some level of financial toxicity, which was independently associated with worse risk-adjusted health outcomes across all hrQoL measures. Risk factors for financial toxicity are not related to injury severity or treatment intensity but rather to sociodemographic variables and measures of prehospital and posthospital health care resource utilization. Targeted interventions and policies are needed to address financial toxicity and ensure optimal recovery for trauma survivors. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Linking Trauma Registry Patients With Insurance Claims: Creating a Longitudinal Patient Record.

INTRODUCTION: Trauma registries and their quality improvement programs only collect data from the acute hospital admission, and no additional information is captured once the patient is discharged. This lack of long-term data limits these programs' ability to affect change. The goal of this study was to create a longitudinal patient record by linking trauma registry data with third party payer claims data to allow the tracking of these patients after discharge. METHODS: Trauma quality collaborative data (2018-2019) was utilized. Inclusion criteria were patients age ≥18, ISS ≥5 and a length of stay ≥1 d. In-hospital deaths were excluded. A deterministic match was performed with insurance claims records based on the hospital name, date of birth, sex, and dates of service (±1 d). The effect of payer type, ZIP code, International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis specificity and exact dates of service on the match rate was analyzed. RESULTS: The overall match rate between these two patient record sources was 27.5%. There was a significantly higher match rate (42.8% versus 6.1%, P < 0.001) for patients with a payer that was contained in the insurance collaborative. In a subanalysis, exact dates of service did not substantially affect this match rate; however, specific International Classification of Diseases, Tenth Revision, Clinical Modification codes (i.e., all 7 characters) reduced this rate by almost half. CONCLUSIONS: We demonstrated the successful linkage of patient records in a trauma registry with their insurance claims. This will allow us to the collect longitudinal information so that we can follow these patients' long-term outcomes and subsequently improve their care.

Association of Childbirth With Medical Debt.

We evaluated the association between childbirth and having medical debt in collections and examined differences by neighborhood socioeconomic status. Among a statewide cohort of commercially insured pregnant (n=14,560) and postpartum (n=12,157) adults, having medical debt in collections was more likely among postpartum individuals compared with pregnant individuals (adjusted odds ratio [aOR] 1.36, 95% CI 1.27-1.46) and those in lowest-income neighborhoods compared with all others (aOR 2.18, 95% CI 2.02-2.35). Postpartum individuals in lowest-income neighborhoods had the highest predicted probabilities of having medical debt in collections (28.9%, 95% CI 27.5-30.3%), followed by pregnant individuals in lowest-income neighborhoods (23.2%, 95% CI 22.0-24.4%), followed by all other postpartum and pregnant people (16.1%, 95% CI 15.4-16.8% and 12.5%, 95% CI 11.9-13.0%, respectively). Our findings suggest that current peripartum out-of-pocket costs are objectively more than many commercially insured families can afford, leading to medical debt. Policies to reduce maternal-infant health care spending among commercially insured individuals may mitigate financial hardship and improve birth equity.

Association between Medicare eligibility at age 65 years and in-hospital treatment patterns and health outcomes for patients with trauma: regression discontinuity approach.

OBJECTIVE: To determine whether health systems in the United States modify treatment or discharge decisions for otherwise similar patients based on health insurance coverage. DESIGN: Regression discontinuity approach. SETTING: American College of Surgeons' National Trauma Data Bank, 2007-17. PARTICIPANTS: Adults aged between 50 and 79 years with a total of 1 586 577 trauma encounters at level I and level II trauma centers in the US. INTERVENTIONS: Eligibility for Medicare at age 65 years. MAIN OUTCOME MEASURES: The main outcome measure was change in health insurance coverage, complications, in-hospital mortality, processes of care in the trauma bay, treatment patterns during hospital admission, and discharge locations at age 65 years. RESULTS: 1 586 577 trauma encounters were included. At age 65, a discontinuous increase of 9.6 percentage points (95% confidence interval 9.1 to 10.1) was observed in the share of patients with health insurance coverage through Medicare at age 65 years. Entry to Medicare at age 65 was also associated with a decrease in length of hospital stay for each encounter, of 0.33 days (95% confidence interval -0.42 to -0.24 days), or nearly 5%), which coincided with an increase in discharges to nursing homes (1.56 percentage points, 95% confidence interval 0.94 to 2.16 percentage points) and transfers to other inpatient facilities (0.57 percentage points, 0.33 to 0.80 percentage points), and a large decrease in discharges to home (1.99 percentage points, -2.73 to -1.27 percentage points). Relatively small (or no) changes were observed in treatment patterns during the patients' hospital admission, including no changes in potentially life saving treatments (eg, blood transfusions) or mortality. CONCLUSIONS: The findings suggest that differences in treatment for otherwise similar patients with trauma with different forms of insurance coverage arose during the discharge planning process, with little evidence that health systems modified treatment decisions based on patients' coverage.

Financial outcomes after pediatric critical illness among commercially insured families.

Critical illness results in subjective financial distress for families, but little is known about objective caregiver finances after a child's pediatric intensive care unit (PICU) hospitalization. Using statewide commercial insurance claims linked to cross-sectional commercial credit data, we identified caregivers of children with PICU hospitalizations in January-June 2020 and January-June 2021. Credit data included delinquent debt, debt in collections (medical and non-medical), low credit score (< 660), and a composite of any debt or poor credit and were measured in January 2021 for all caregivers. For the 2020 cohort ("post-PICU"), credit outcomes in January 2021 were measured at least 6 months following PICU hospitalization and reflect financial status after the hospitalization. For the 2021 cohort (comparison), financial outcomes were measured prior to their child's PICU hospitalization and therefore reflect pre-hospitalization financial status. We identified 2032 caregivers, 1017 post-PICU caregivers and 1015 comparison cohort caregivers, of which 1016 and 1014 were matched to credit data, respectively. Post-PICU caregivers had higher adjusted odds of having any delinquent debt [aOR 1.25; 95%CI 1.02-1.53; p = 0.03] and having a low credit score [aOR 1.29; 95%CI 1.06-1.58; p = 0.01]. However, there was no difference in the amount of delinquent debt or debt in collections among those with nonzero debt. Overall, 39.5% and 36.5% of post-PICU and comparator caregivers, respectively, had delinquent debt, debt in collections or poor credit. Many caregivers of critically ill children have financial debt or poor credit during hospitalization and post-discharge. However, caregivers may be at higher risk for poor financial status following their child's critical illness.

Financial toxicity after trauma and acute care surgery: From understanding to action.

ABSTRACT: Gains in inpatient survival over the last five decades have shifted the burden of major injuries and surgical emergencies from the acute phase to their long-term sequelae. More attention has been placed on evaluation and optimization of long-term physical and mental health; however, the impact of major injuries and surgical emergencies on long-term financial well-being remains a critical blind spot for clinicians and researchers. The concept of financial toxicity encompasses both the objective financial consequences of illness and medical care as well as patients' subjective financial concerns. In this review, representatives of the Healthcare Economics Committee from the American Association for the Surgery of Trauma (1) provide a conceptual overview of financial toxicity after trauma or emergency surgery, (2) outline what is known regarding long-term economic outcomes among trauma and emergency surgery patients, (3) explore the bidirectional relationship between financial toxicity and long-term physical and mental health outcomes, (4) highlight policies and programs that may mitigate financial toxicity, and (5) identify the current knowledge gaps and critical next steps for clinicians and researchers engaged in this work.

Preexisting Financial Hardship Among Caregivers of Hospitalized Children.

This cross-sectional study examines preexisting financial hardship among caregivers of hospitalized children.

Patient adverse financial outcomes before and after COVID-19 infection.

Adverse financial outcomes after COVID-19 infection and hospitalization have not been assessed with appropriate comparators to account for other financial disruptions of 2020-2021. Using credit report data from 132,109 commercially insured COVID-19 survivors, we compared the rates of adverse financial outcomes for two cohorts of individuals with credit outcomes measured before and after COVID-19 infection, using an interaction term between cohort and hospitalization to test whether adverse credit outcomes changed more for hospitalized than nonhospitalized COVID-19 patients. Covariates included age group, gender, and several area-level social determinants of health. Adverse financial outcomes were significantly more common after COVID-19 infection than before COVID-19 infection, with greater increases among those hospitalized with COVID-19 (5-8 percentage points) than among nonhospitalized patients (1-3 percentage points). Future work examining longitudinal financial outcomes before and after COVID-19 infection is needed to determine the causal mechanisms of this association to reduce financial hardship from COVID-19 and other conditions.

Out-of-Pocket Spending for Non-Birth-Related Hospitalizations of Privately Insured US Children, 2017 to 2019.

Importance: Privately insured US children account for 40% of non-birth-related pediatric hospitalizations. However, there are no national data on the magnitude or correlates of out-of-pocket spending for these hospitalizations. Objective: To estimate out-of-pocket spending for non-birth-related hospitalizations among privately insured children and identify factors associated with this spending. Design, Setting, and Participants: This study is a cross-sectional analysis of the IBM MarketScan Commercial Database, which reports claims from 25 to 27 million privately insured enrollees annually. In the primary analysis, all non-birth-related hospitalizations of children 18 years and younger from 2017 through 2019 were included. In a secondary analysis focused on insurance benefit design, hospitalizations that could be linked to the IBM MarketScan Benefit Plan Design Database and were covered by plans with a family deductible and inpatient coinsurance requirements were analyzed. Main Outcomes and Measures: In the primary analysis, factors associated with out-of-pocket spending per hospitalization (sum of deductibles, coinsurance, and copayments) were identified using a generalized linear model. In the secondary analysis, variation in out-of-pocket spending was assessed by level of deductible and inpatient coinsurance requirements. Results: Among 183 780 hospitalizations in the primary analysis, 93 186 (50.7%) were for female children, and the median (IQR) age of hospitalized children was 12 (4-16) years. A total of 145 108 hospitalizations (79.0%) were for children with a chronic condition and 44 282 (24.1%) were covered by a high-deductible health plan. Mean (SD) total spending per hospitalization was $28 425 ($74 715). Mean (SD) and median (IQR) out-of-pocket spending per hospitalization were $1313 ($1734) and $656 ($0-$2011), respectively. Out-of-pocket spending exceeded $3000 for 25 700 hospitalizations (14.0%). Factors associated with higher out-of-pocket spending included hospitalization in quarter 1 compared with quarter 4 (average marginal effect [AME], $637; 99% CI, $609-$665) and lack of chronic conditions compared with having a complex chronic condition (AME, $732; 99% CI, $696-$767). The secondary analysis included 72 165 hospitalizations. Among hospitalizations covered by the least generous plans (deductible of $3000 or more and coinsurance of 20% or more) and most generous plans (deductible less than $1000 and coinsurance of 1% to 19%), mean (SD) out-of-pocket spending was $1974 ($1999) and $826 ($798), respectively (AME, $1123; 99% CI, $1069-$1179). Conclusions and Relevance: In this cross-sectional study, out-of-pocket spending for non-birth-related pediatric hospitalizations were substantial, especially when they occurred early in the year, involved children without chronic conditions, or were covered by plans with high cost-sharing requirements.

Financial Toxicity Among Patients With Breast Cancer Worldwide: A Systematic Review and Meta-analysis.

Importance: Financial toxicity (FT) is the negative impact of cost of care on financial well-being. Patients with breast cancer are at risk for incurring high out-of-pocket costs given the long-term need for multidisciplinary care and expensive treatments. Objective: To quantify the FT rate of patients with breast cancer and identify particularly vulnerable patient populations nationally and internationally. Data Sources: A systematic review and meta-analysis were conducted. Four databases-Embase, PubMed, Global Index Medicus, and Global Health (EBSCO)-were queried from inception to February 2021. Data analysis was performed from March to December 2022. Study Selection: A comprehensive database search was performed for full-text, English-language articles reporting FT among patients with breast cancer. Two independent reviewers conducted study screening and selection; 462 articles underwent full-text review. Data Extraction and Synthesis: A standardized data extraction tool was developed and validated by 2 independent authors; study quality was also assessed. Variables assessed included race, income, insurance status, education status, employment, urban or rural status, and cancer stage and treatment. Pooled estimates of FT rates and their 95% CIs were obtained using the random-effects model. Main Outcomes and Measures: FT was the primary outcome and was evaluated using quantitative FT measures, including rate of patients experiencing FT, and qualitative FT measures, including patient-reported outcome measures or patient-reported severity and interviews. The rates of patients in high-income, middle-income, and low-income countries who incurred FT according to out-of-pocket cost, income, or patient-reported impact of expenditures during breast cancer diagnosis and treatment were reported as a meta-analysis. Results: Of the 11 086 articles retrieved, 34 were included in the study. Most studies were from high-income countries (24 studies), and the rest were from low- and middle-income countries (10 studies). The sample size of included studies ranged from 5 to 2445 people. There was significant heterogeneity in the definition of FT. FT rate was pooled from 18 articles. The pooled FT rate was 35.3% (95% CI, 27.3%-44.4%) in high-income countries and 78.8% (95% CI, 60.4%-90.0%) in low- and middle-income countries. Conclusions and Relevance: Substantial FT is associated with breast cancer treatment worldwide. Although the FT rate was higher in low- and middle-income countries, more than 30% of patients in high-income countries also incurred FT. Policies designed to offset the burden of direct medical and nonmedical costs are required to improve the financial health of vulnerable patients with breast cancer.

High-risk surgery among Medicare beneficiaries living in health professional shortage areas.

PURPOSE: Americans who reside in health professional shortage areas currently have less than half of the needed physician workforce. While the shortage designation has been associated with poor outcomes for chronic medical conditions, far less is known about outcomes after high-risk surgical procedures. METHODS: We performed a retrospective review of Medicare beneficiaries living in health professional shortage areas and nonshortage areas who underwent abdominal aortic aneurysm repair, coronary artery bypass graft, esophagectomy, liver resection, pancreatectomy, or rectal resection between 2014 and 2018. Risk-adjusted multivariable logistic regression was used to determine whether rates of postoperative complications and 30-day mortality differed between patient cohorts. Beneficiary and hospital ZIP codes were used to quantify travel time to obtain care. FINDINGS: Compared with patients living in nonshortage areas, patients living in health professional shortage areas traveled longer (median 60.0 vs 28.0 minutes, P<.001). There were no differences in risk-adjusted rates of complications (28.5% vs 28.6%, OR = 1.00, 95% CI 1.00-1.00, P = .59) and small differences in rates of 30-day mortality (4.2% vs 4.4%, OR = 0.95, 95% CI 0.95-0.95, P<.001) between beneficiaries living in shortage areas versus those not in shortage areas, respectively. CONCLUSIONS: Patients living in health professional shortage area undergoing high-risk surgery traveled more than 2 times longer for their care to obtain similar outcomes. While reassuring for clinical outcomes, additional efforts may be needed to mitigate the travel burden experienced by shortage area patients.

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.

Association of Hospital Quality and Neighborhood Deprivation With Mortality After Inpatient Surgery Among Medicare Beneficiaries.

Importance: Although the hospital at which a patient is treated is a known source of variation in mortality after inpatient surgery, far less is known about how the neighborhoods from which patients come may also contribute. Objective: To compare postoperative mortality among Medicare beneficiaries based on the level of neighborhood deprivation where they live and hospital quality where they received care. Design, Setting, and Participants: This cross-sectional study examined outcomes among Medicare beneficiaries undergoing 1 of 5 common surgical procedures (colon resection, coronary artery bypass, cholecystectomy, appendectomy, or incisional hernia repair) between 2014 and 2018. Hospital quality was assigned using the Centers for Medicare & Medicaid Services Star Rating. Each beneficiary's neighborhood was identified at the census tract level and sorted in quintiles based on its Area Deprivation Index score, a composite measure of neighborhood quality, including education, employment, and housing quality. A risk matrix across hospital quality and neighborhood deprivation was created to determine the relative contribution of each to mortality after surgery. Data were analyzed from June 1 to December 31, 2021. Exposures: Hospital quality and neighborhood deprivation. Main Outcomes and Measures: The main outcome was risk-adjusted 30-day mortality after surgery using a multivariable logistic regression model taking into account patient factors and procedure type. Results: A total of 1 898 829 Medicare beneficiaries (mean [SD] age, 74.8 [7.0] years; 961 216 [50.6%] male beneficiaries; 28 432 [1.5%] Asian, 145 160 [77%] Black, and 1 622 304 [86.5%] White beneficiaries) were included in analyses. Patients from all neighborhood deprivation group quintiles sought care at hospitals across hospital quality levels. For example, 9.1% of patients from the highest deprivation neighborhoods went to a hospital in the highest star rating of quality and 4.2% of patients from the lowest deprivation neighborhoods went to a hospital in the lowest star rating of quality. Thirty-day risk-adjusted mortality varied across high- and low-quality hospitals (4.3% vs 7.2%; adjusted odds ratio [aOR], 1.78; 95% CI, 1.66-1.92) and across the least and most deprived neighborhoods (4.5% vs 6.8%; aOR, 1.58; 95% CI, 1.53-1.64). When combined, comparing patients from the least deprived neighborhoods going to high-quality hospitals vs patients from the most deprived neighborhoods going to low-quality hospitals, the variation increased further (3.8% vs 8.1%; aOR, 2.20; 95% CI, 1.96-2.46). Conclusions and Relevance: These findings suggest that characteristics of a patient's neighborhood and the hospital where they received treatment were both associated with risk of death after commonly performed inpatient surgical procedures. The associations of these factors on mortality may be additive. Efforts and investments to address variation in postoperative mortality should include both hospital quality improvement as well as addressing drivers of neighborhood deprivation.

Variability in Out-of-Pocket Costs and Quality for Common Emergency General Surgery Conditions.

This cross-sectional study uses payment information from a larger commercial payer in the US to assess the out-of-pocket and total costs for emergency surgery from 2016 to 2019 in the context of quality of care.

Social Vulnerability and Emergency General Surgery among Medicare Beneficiaries.

BACKGROUND: Although the Social Vulnerability Index (SVI) was created to identify vulnerable populations after unexpected natural disasters, its ability to identify similar groups of patients undergoing unexpected emergency surgical procedures is unknown. We sought to examine the association between SVI and outcomes after emergency general surgery. STUDY DESIGN: This study is a cross-sectional review of 887,193 Medicare beneficiaries who underwent 1 of 4 common emergency general surgery procedures (appendectomy, cholecystectomy, colectomy, and ventral hernia repair) performed in the urgent or emergent setting between 2014 and 2018. These data were merged with the SVI at the census-track level of residence. Risk-adjusted outcomes (30-day mortality, serious complications, readmission) were evaluated using a logistic regression model accounting for age, sex, comorbidity, year, procedure type, and hospital characteristics between high and low social vulnerability quintiles and within the 4 SVI subthemes (socioeconomic status; household composition and disability; minority status and language; and housing type and transportation). RESULTS: Compared with beneficiaries with low social vulnerability, Medicare beneficiaries living in areas of high social vulnerability experienced higher rates of 30-day mortality (8.56% vs 8.08%; adjusted odds ratio 1.07; p < 0.001), serious complications (20.71% vs 18.40%; adjusted odds ratio 1.17; p < 0.001), and readmissions (16.09% vs 15.03%; adjusted odds ratio 1.08; p < 0.001). This pattern of differential outcomes was present in subgroup analysis of all 4 SVI subthemes but was greatest in the socioeconomic status and household composition and disability subthemes. CONCLUSIONS: National efforts to support patients with high social vulnerability from natural disasters may be well aligned with efforts to identify communities that are particularly vulnerable to worse postoperative outcomes after emergency general surgery. Policies targeting structural barriers related to household composition and socioeconomic status may help alleviate these disparities.