Association Between the Proportion of Black Patients Cared for at Hospitals and Financial Penalties Under Value-Based Payment Programs

Socioeconomic Disadvantage is a Leading Variable in Risk Score for Major Amputation Following Emergent Infra-Inguinal Arterial Bypass Surgery

OBJECTIVE

The purpose of this study is to identify patients at particularly high risk for major amputation following emergent infra-inguinal bypass to help tailor postoperative and long-term patient management.

METHODS

In the Vascular Quality Initiative, we identified 2126 patients who underwent emergent infra-inguinal artery bypass. Two primary outcomes were investigated : major ipsilateral amputation above the ankle level during index hospitalization and major amputation above the ankle at any time after emergent infra-inguinal bypass surgery (perioperative and post discharge combined). Binary logistic regression analysis was performed for each outcome utilizing variables which achieved a univariable P value < .10. We then determined which variables have a multivariable association for the outcomes as defined by a regression P value of .05 or less. A risk score was then created for the outcome of amputation after emergent infra-inguinal bypass using weighted beta-coefficient. Variables with a multivariable P-value < .05 were included in the risks score and weighted based on their respective regression beta-coefficient in a point scale.

RESULTS

Overall, 17.1% (368/2126) of patients experienced major amputation at some point in follow up after emergent infra-inguinal artery bypass. Mean follow up duration on the amputation variable was 261 days with end point being time of amputation or time of last follow up data on the amputation variable. Variables with a significant multivariable association (P<.05) with major amputation at any point after emergent infra-inguinal arterial bypass were : home status in top 10% (most deprived) of area deprivation index; prior infra-inguinal ipsilateral arterial bypass; prior ipsilateral endovascular arterial intervention; prosthetic bypass conduit; postoperative skin/soft tissue infection; and postoperative need to revise or thrombectomize bypass. Pertinent negatives on multivariable analysis included all baseline co-morbidities, insurance status, race, and gender. There is steep progression in amputation rate ranging from 5% at scores of 0 and 1 to over 60% for scores in excess of 10. AUC analysis revealed a value of .706.

CONCLUSIONS

Patients living in the most disadvantaged socioeconomic neighborhoods have an increased risk of amputation following emergent infra-inguinal arterial bypass independent of baseline co-morbidities and perioperative events. Baseline co-morbidities are not impactful regarding amputation rates after emergent infra-inguinal bypass surgery. The need for bypass revision or thrombectomy during index hospitalization is the most impactful factor towards amputation after emergency bypass. A risk score with quality accuracy has been developed to help identify patients at particularly high likelihood of limb loss which may aid in counseling regarding heightened vigilance in postoperative and long term follow up care.

Trends in patient perceptions of care toward rural and urban hospitals in the United States: 2014-2019

PURPOSE

Understanding rural-urban disparities in patient satisfaction is critical to identify gaps for improvement in patient-centered care and tailor interventions to specific patient needs, especially those in the Frontier and Remote areas (FAR). This study aimed to examine disparities in patient perceptions of care between urban, rural non-FAR, and FAR hospitals between 2014 and 2019.

METHODS

This is a retrospective longitudinal study using 2014-2019 Hospital Consumer Assessment of Healthcare Providers and Systems data linked to American Hospital Annual Survey data (3,524 hospitals in 2014 and 3,440 hospitals in 2019). Multivariable linear regression models were used to identify differential trends in patient perceptions of care by hospital rurality over 2014-2019, adjusting hospital- and county-level characteristics.

FINDINGS

In 2014, patients at rural non-FAR and FAR hospitals had lower percentages of willingness to definitely recommend these hospitals than urban hospitals (average percentage difference, 95% CI: -4.0% [-4.5%, -3.5%]; -2.0% [-2.8%, -1.2%]); yet, over the study period, rural hospitals experienced steeper increases in patient willingness to recommend (0.2% [0.07%, 0.4%]; 0.4% [0.08%, 0.7%]). FAR hospitals also showed improvements in patient experience in a clean environment, communication with nurses, communication about medicines, and responsiveness of staff. Communication with doctors showed slight decreases across hospital locations.

CONCLUSIONS

Patient perceptions of care were generally improved in all US hospitals from 2014 to 2019, except communications with doctors. These findings highlight the potential for enhancing patient satisfaction and experience in urban hospitals and suggest the need to improve patient willingness to recommend in rural FAR hospitals.

Cardiovascular Disease in Hispanic Women: JACC Review Topic of the Week

Cardiovascular disease affects 37% of Hispanic women and is the leading cause of death among Hispanic women in the United States. Hispanic women have a higher burden of cardiovascular risk factors, are disproportionally affected by social determinants of health, and face additional barriers related to immigration, such as discrimination, language proficiency, and acculturation. Despite this, Hispanic women show lower rates of cardiovascular disease and mortality compared with non-Hispanic White women. However, this "Hispanic paradox" is challenged by recent studies that account for the diversity in culture, race, genetic background, country of origin, and social determinants of health within Hispanic subpopulations. This review provides a comprehensive overview of the cardiovascular risk factors in Hispanic women, emphasizing the role of social determinants, and proposes a multipronged approach for equitable care.

Health Equity Adjustment and Hospital Performance in the Medicare Value-Based Purchasing Program

Importance

Medicare's Hospital Value-Based Purchasing (HVBP) program will provide a health equity adjustment (HEA) to hospitals that have greater proportions of patients dually eligible for Medicare and Medicaid and that offer high-quality care beginning in fiscal year 2026. However, which hospitals will benefit most from this policy change and to what extent are unknown.

Objective

To estimate potential changes in hospital performance after HEA and examine hospital patient mix, structural, and geographic characteristics associated with receipt of increased payments.

Design, Setting, and Participants

This cross-sectional study analyzed all 2676 hospitals participating in the HVBP program in fiscal year 2021. Publicly available data on program performance and hospital characteristics were linked to Medicare claims data on all inpatient stays for dual-eligible beneficiaries at each hospital to calculate HEA points and HVBP payment adjustments.

Exposures

Hospital Value-Based Purchasing program HEA.

Main Outcomes and Measures

Reclassification of HVBP bonus or penalty status and changes in payment adjustments across hospital characteristics.

Results

Of 2676 hospitals participating in the HVBP program in fiscal year 2021, 1470 (54.9%) received bonuses and 1206 (45.1%) received penalties. After HEA, 102 hospitals (6.9%) were reclassified from bonus to penalty status, whereas 119 (9.9%) were reclassified from penalty to bonus status. At the hospital level, mean (SD) HVBP payment adjustments decreased by $4534 ($90 033) after HEA, ranging from a maximum reduction of $1 014 276 to a maximum increase of $1 523 765. At the aggregate level, net-positive changes in payment adjustments were largest among safety net hospitals ($28 971 708) and those caring for a higher proportion of Black patients ($15 468 445). The likelihood of experiencing increases in payment adjustments was significantly higher among safety net compared with non-safety net hospitals (574 of 683 [84.0%] vs 709 of 1993 [35.6%]; adjusted rate ratio [ARR], 2.04 [95% CI, 1.89-2.20]) and high-proportion Black hospitals compared with non-high-proportion Black hospitals (396 of 523 [75.7%] vs 887 of 2153 [41.2%]; ARR, 1.40 [95% CI, 1.29-1.51]). Rural hospitals (374 of 612 [61.1%] vs 909 of 2064 [44.0%]; ARR, 1.44 [95% CI, 1.30-1.58]), as well as those located in the South (598 of 1040 [57.5%] vs 192 of 439 [43.7%]; ARR, 1.25 [95% CI, 1.10-1.42]) and in Medicaid expansion states (801 of 1651 [48.5%] vs 482 of 1025 [47.0%]; ARR, 1.16 [95% CI, 1.06-1.28]), were also more likely to experience increased payment adjustments after HEA compared with their urban, Northeastern, and Medicaid nonexpansion state counterparts, respectively.

Conclusions and Relevance

Medicare's implementation of HEA in the HVBP program will significantly reclassify hospital performance and redistribute program payments, with safety net and high-proportion Black hospitals benefiting most from this policy change. These findings suggest that HEA is an important strategy to ensure that value-based payment programs are more equitable.

Community Socioeconomic Status, Acute Cardiovascular Hospitalizations, and Mortality in Medicare, 2003 to 2019

BACKGROUND

Socioeconomically disadvantaged communities in the United States disproportionately experience poor cardiovascular outcomes. Little is known about how hospitalizations and mortality for acute cardiovascular conditions have changed among Medicare beneficiaries in socioeconomically disadvantaged and nondisadvantaged communities over the past 2 decades.

METHODS

Medicare files were linked with the Centers for Disease Control and Prevention's social vulnerability index to examine age-sex standardized hospitalizations for myocardial infarction, heart failure, ischemic stroke, and pulmonary embolism among Medicare fee-for-service beneficiaries ≥65 years of age residing in socioeconomically disadvantaged communities (highest social vulnerability index quintile nationally) and nondisadvantaged communities (all other quintiles) from 2003 to 2019, as well as risk-adjusted 30-day mortality among hospitalized beneficiaries.

RESULTS

A total of 10 942 483 Medicare beneficiaries ≥65 years of age were hospitalized for myocardial infarction, heart failure, stroke, or pulmonary embolism (mean age, 79.2 [SD, 8.7] years; 53.9% female). Although age-sex standardized myocardial infarction hospitalizations declined in socioeconomically disadvantaged (990-650 per 100 000) and nondisadvantaged communities (950-570 per 100 000) from 2003 to 2019, the gap in hospitalizations between these groups significantly widened (adjusted odds ratio 2003, 1.03 [95% CI, 1.02-1.04]; adjusted odds ratio 2019, 1.14 [95% CI, 1.13-1.16]). There was a similar decline in hospitalizations for heart failure in socioeconomically disadvantaged (2063-1559 per 100 000) and nondisadvantaged communities (1767-1385 per 100 000), as well as for ischemic stroke, but the relative gap did not change for both conditions. In contrast, pulmonary embolism hospitalizations increased in both disadvantaged (146-184 per 100 000) and nondisadvantaged communities (153-184 per 100 000). By 2019, risk-adjusted 30-day mortality was similar between hospitalized beneficiaries from socioeconomically disadvantaged and nondisadvantaged communities for myocardial infarction, heart failure, and ischemic stroke but was higher for pulmonary embolism (odds ratio, 1.10 [95% CI, 1.01-1.20]).

CONCLUSIONS

Over the past 2 decades, hospitalizations for most acute cardiovascular conditions decreased in both socioeconomically disadvantaged and nondisadvantaged communities, although significant disparities remain, while 30-day mortality is now similar across most conditions.

Racial and Ethnic Disparities in Perioperative Health Care Among Patients Undergoing Cardiac Surgery: JACC State-of-the-Art Review

There has been little progress in reducing health care disparities since the 2003 landmark Institute of Medicine's report Unequal Treatment. Despite the higher burden of cardiovascular disease in underrepresented racial and ethnic groups, they have less access to cardiologists and cardiothoracic surgeons, and have higher rates of morbidity and mortality with cardiac surgical interventions. This review summarizes existing literature and highlights disparities in cardiovascular perioperative health care. We propose actionable solutions utilizing multidisciplinary perspectives from cardiology, cardiac surgery, cardiothoracic anesthesiology, critical care, medical ethics, and health disparity experts. Applying a health equity lens to multipronged interventions is necessary to eliminate the disparities in perioperative health care among patients undergoing cardiac surgery.

Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance

Importance

Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes.

Objectives

To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value).

Design, Setting, and Participants

Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019.

Main Outcomes and Measures

We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method).

Exposures

Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost).

Results

Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity.

Conclusion and Relevance

A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.

Medicare's Value-Based Purchasing And 30-Day Mortality At Hospitals Caring For High Proportions Of Black Adults

The care of Black adults is highly concentrated at a limited set of US hospitals that often have limited resources. In 2011, the Medicare Hospital Value-Based Purchasing (VBP) Program began financially penalizing or rewarding hospitals based on thirty-day mortality rates for target conditions (myocardial infarction, heart failure, and pneumonia). Because the VBP Program has disproportionately penalized resource-constrained hospitals caring for high proportions of Black adults since its implementation in 2011, clinicians, health system leaders, and policy makers have worried that the program may unintentionally be widening racial disparities in health outcomes. Using Medicare claims for beneficiaries ages sixty-five and older who were hospitalized for three target conditions at 2,908 US hospitals participating in the VBP Program, we found that thirty-day mortality rates were consistently higher for two of three conditions at hospitals with high proportions of Black adults compared with other hospitals. There was no evidence of a differential change in thirty-day mortality among all Medicare beneficiaries with targeted conditions at high-proportion Black hospitals versus other hospitals seven years after the implementation of the VBP Program. However, gaps in mortality between these sites did widen in the subgroup of Black adults with pneumonia. These findings highlight that important concerns remain about the regressive nature and equity implications of national pay-for-performance programs.

Impact of Intensity of Vascular Care Preceding Major Amputation Among Patients With Chronic Limb-Threatening Ischemia

BACKGROUND

Lower-limb amputation rates in patients with chronic limb-threatening ischemia vary across the United States, with marked disparities in amputation rates by gender, race, and income status. We evaluated the association of patient, hospital, and geographic characteristics with the intensity of vascular care received the year before a major lower-limb amputation and how intensity of care associates with outcomes after amputation.

METHODS

Using Medicare claims data (2016-2019), beneficiaries diagnosed with chronic limb-threatening ischemia who underwent a major lower-limb amputation were identified. We examined patient, hospital, and geographic characteristics associated with the intensity of vascular care received the year before amputation. Secondary objectives evaluated all-cause mortality and adverse events following amputation.

RESULTS

Of 33 036 total Medicare beneficiaries undergoing major amputation, 7885 (23.9%) were due to chronic limb-threatening ischemia; of these, 4988 (63.3%) received low-intensity and 2897 (36.7%) received high-intensity vascular care. Mean age, 76.6 years; women, 38.9%; Black adults, 24.5%; and of low income, 35.2%. After multivariable adjustment, those of low income (odds ratio, 0.65 [95% CI, 0.58-0.72]; P<0.001), and to a lesser extent, men (odds ratio, 0.89 [95% CI, 0.81-0.98]; P=0.019), and those who received care at a safety-net hospital (odds ratio, 0.87 [95% CI, 0.78-0.97]; P=0.012) were most likely to receive low intensity of care before amputation. High-intensity care was associated with a lower risk of all-cause mortality 2 years following amputation (hazard ratio, 0.79 [95% CI, 0.74-0.85]; P<0.001).

CONCLUSIONS

Patients who were of low-income status, and to a lesser extent, men, or those cared for at safety-net hospitals were most likely to receive low-intensity vascular care. Low-intensity care was associated with worse long-term event-free survival. These data emphasize the continued disparities that exist in contemporary vascular practice.

Hospital-physician Integration and Value-based Payment: Early Results From MIPS

BACKGROUND

Hospital-physician integration is often justified as a driver of clinical quality improvement due to joint resources covering a broad spectrum of care. Value-based programs, such as the Medicare Merit-Based Incentive Payment System (MIPS), are intended to tie financial incentives to clinical quality, which may confer an advantage on such integrated practices.

OBJECTIVES

We assessed the relationship between hospital-physician integration and MIPS performance by comparing hospital-integrated practices and independent practices.

RESEARCH DESIGN

This was a cross-sectional study using data from the Quality Payment Program for the performance year 2020.

SUBJECTS

Physician practices with a valid MIPS composite score in performance year 2020.

MEASURES

Hospital integration was based on whether at least 75% of a practice's physicians either billed most of their services using hospital outpatient department codes or billed through a hospital tax identifier. The primary outcome was the MIPS quality category score, and the secondary outcomes were the specific quality measures reported by practice groups.

RESULTS

Of the 20 most frequently reported measures, 14 were common in both groups. No difference was observed in the quality category score between hospital-integrated practices and independent practices in either unadjusted comparisons or after adjusting for practice characteristics, including practice size, geography, specialty mix, and case mix. In the secondary outcome models for specific quality measures, hospital-integrated practices achieved higher scores on most overlap measures but not all.

CONCLUSIONS

The findings on quality category score suggest that hospital integration does not confer much advantage in the context of MIPS quality performance.

Segregated Patterns of Hospital Care Delivery and Health Outcomes

Importance

Residential segregation has been shown to be a root cause of racial inequities in health outcomes, yet little is known about current patterns of racial segregation in where patients receive hospital care or whether hospital segregation is associated with health outcomes. Filling this knowledge gap is critical to implementing policies that improve racial equity in health care.

Objective

To characterize contemporary patterns of racial segregation in hospital care delivery, identify market-level correlates, and determine the association between hospital segregation and health outcomes.

Design, Setting, and Participants

This cross-sectional study of US hospital referral regions (HRRs) used 2018 Medicare claims, American Community Survey, and Agency for Healthcare Research and Quality Social Determinants of Health data. Hospitalization patterns for all non-Hispanic Black or non-Hispanic White Medicare fee-for-service beneficiaries with at least 1 inpatient hospitalization in an eligible hospital were evaluated for hospital segregation and associated health outcomes at the HRR level. The data analysis was performed between August 10, 2022, and September 6, 2023.

Exposures

Dissimilarity index and isolation index for HRRs.

Main Outcomes and Measures

Health outcomes were measured using Prevention Quality Indicator (PQI) acute and chronic composites per 100 000 Medicare beneficiaries, and total deaths related to heart disease and stroke per 100 000 residents were calculated for individuals aged 74 years or younger. Correlation coefficients were used to compare residential and hospital dissimilarity and residential and hospital isolation. Linear regression was used to examine the association between hospital segregation and health outcomes.

Results

This study included 280 HRRs containing data for 4386 short-term acute care and critical access hospitals. Black and White patients tended to receive care at different hospitals, with a mean (SD) dissimilarity index of 23 (11) and mean (SD) isolation index of 13 (13), indicating substantial variation in segregation across HRRs. Hospital segregation was correlated with residential segregation (correlation coefficients, 0.58 and 0.90 for dissimilarity and isolation, respectively). For Black patients, a 1-SD increase in the hospital isolation index was associated with 204 (95% CI, 154-254) more acute PQI hospitalizations per 100 000 Medicare beneficiaries (28% increase from the median), 684 (95% CI, 488-880) more chronic PQI hospitalizations per 100 000 Medicare beneficiaries (15% increase), and 6 (95% CI, 2-9) additional deaths per 100 000 residents (6% increase) compared with 68 (95% CI, 24-113; 6% increase), 202 (95% CI, 131-274; 8% increase), and 2 (95% CI, 0 to 4; 3% increase), respectively, for White patients.

Conclusions and Relevance

This cross-sectional study found that higher segregation of hospital care was associated with poorer health outcomes for both Black and White Medicare beneficiaries, with significantly greater negative health outcomes for Black populations, supporting racial segregation as a root cause of health disparities. Policymakers and clinical leaders could address this important public health issue through payment reform efforts and expansion of health insurance coverage, in addition to supporting upstream efforts to reduce racial segregation in hospital care and residential settings.

Plastic Surgeons and Equity: Are Merit-Based Incentive Payment System Scores Impacted by Minority Patient Caseload?

BACKGROUND

The Centers for Medicare and Medicaid Services introduced the Merit-based Incentive Payment System (MIPS) in 2017 to extend value-based payment to outpatient physicians. The authors hypothesized that the MIPS scores for plastic surgeons are impacted by the existing measures of patient disadvantage, minority patient caseload, and dual eligibility.

METHODS

The authors conducted a retrospective cohort study of plastic surgeons participating in Medicare and MIPS using the Physician Compare national downloadable file and MIPS scores. Minority patient caseload was defined as nonwhite patient caseload. The authors evaluated the characteristics of participating plastic surgeons, their patient caseloads, and their scores.

RESULTS

Of 4539 plastic surgeons participating in Medicare, 1257 participated in MIPS in the first year of scoring. The average patient caseload is 85% white, with racial/ethnicity data available for 73% of participating surgeons. In multivariable regression, higher minority patient caseload is associated with a lower MIPS score.

CONCLUSIONS

As minority patient caseload increases, MIPS scores decrease for otherwise similar caseloads. The Centers for Medicare and Medicaid Services must consider existing and additional measures of patient disadvantage to ensure equitable surgeon scoring.

The geography of Medicare's hospital value-based purchasing in relation to market demographics

OBJECTIVE

To illustrate the association between the sociodemographic characteristics of hospital markets and the geographic patterns of Medicare hospital value-based purchasing (HVBP) scores.

DATA SOURCES AND STUDY SETTING

This is a secondary analysis of United States hospitals with a HVBP Total Performance Score (TPS) for 2019 in the Centers for Medicare and Medicaid Services (CMS) Hospital Compare database (4/2021 release) and American Community Survey (ACS) data for 2015-2019.

STUDY DESIGN

This is a cross-sectional study using spatial multivariable autoregressive models with HVBP TPS and component domain scores as dependent variables and hospital market demographics as the independent variables.

DATA COLLECTION/EXTRACTION METHODS

We calculated hospital market demographics using ZIP code level data from the ACS, weighted the 2019 CMS inpatient Hospital Service Area file.

PRINCIPAL FINDINGS

Spatial autoregressive models using eight nearest neighbors with diversity index, race and ethnicity distribution, families in poverty, unemployment, and lack of health insurance among residents ages 19-64 years provided the best model fit. Diversity index had the highest statistically significant contribution to lower TPS (ß = -12.79, p < 0.0001), followed by the percent of the population coded to "non-Hispanic, some other race" (ß = -2.59, p < 0.0023), and the percent of families in poverty (ß = -0.26, p < 0.0001). Percent of the population was non-Hispanic American Indian/Alaskan Native (ß = 0.35, p < 0.0001) and percent non-Hispanic Asian (ß = 0.12, p < 0.02071) were associated with higher TPS. Lower predicted TPS was observed in large urban cities throughout the US as well as in states throughout the Southeastern US. Similar geographic patterns were observed for the predicted Patient Safety, Person and Community Engagement, and Efficiency and Cost Reduction domain scores but are not for predicted Clinical Outcomes scores.

CONCLUSIONS

The lower predicted scores seen in cities and in the Southeastern region potentially reflect an inherent-that is, structural-association between market sociodemographics and HVBP scores.

Quality of Care and Clinical Outcomes for Patients With Heart Failure at Hospitals Caring for a High Proportion of Black Adults: Get With The Guidelines-Heart Failure Registry

Importance

Black adults with heart failure (HF) disproportionately experience higher population-level mortality than White adults with HF. Whether quality of care for HF differs at hospitals with high proportions of Black patients compared with other hospitals is unknown.

Objective

To compare quality and outcomes for patients with HF at hospitals with high proportions of Black patients vs other hospitals.

Design, Setting, and Participants

Patients hospitalized for HF at Get With The Guidelines (GWTG) HF sites from January 1, 2016, through December 1, 2019. These data were analyzed from May 2022 through November 2022.

Exposures

Hospitals caring for high proportions of Black patients.

Main Outcomes and Measures

Quality of HF care based on 14 evidence-based measures, overall defect-free HF care, and 30-day readmissions and mortality in Medicare patients.

Results

This study included 422 483 patients (224 270 male [53.1%] and 284 618 White [67.4%]) with a mean age of 73.0 years. Among 480 hospitals participating in GWTG-HF, 96 were classified as hospitals with high proportions of Black patients. Quality of care was similar between hospitals with high proportions of Black patients compared with other hospitals for 11 of 14 GWTG-HF measures, including use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitors for left ventricle systolic dysfunction (high-proportion Black hospitals: 92.7% vs other hospitals: 92.4%; adjusted odds ratio [OR], 0.91; 95% CI, 0.65-1.27), evidence-based β-blockers (94.7% vs 93.7%; OR, 1.02; 95% CI, 0.82-1.28), angiotensin receptor neprilysin inhibitors at discharge (14.3% vs 16.8%; OR, 0.74; 95% CI, 0.54-1.02), anticoagulation for atrial fibrillation/flutter (88.8% vs 87.5%; OR, 1.05; 95% CI, 0.76-1.45), and implantable cardioverter-defibrillator counseling/placement/prescription at discharge (70.9% vs 71.0%; OR, 0.75; 95% CI, 0.50-1.13). Patients at high-proportion Black hospitals were less likely to be discharged with a follow-up visit made within 7 days or less (70.4% vs 80.1%; OR, 0.68; 95% CI, 0.53-0.86), receive cardiac resynchronization device placement/prescription (50.6% vs 53.8%; OR, 0.63; 95% CI, 0.42-0.95), or an aldosterone antagonist (50.4% vs 53.5%; OR, 0.69; 95% CI, 0.50-0.97). Overall defect-free HF care was similar between both groups of hospitals (82.6% vs 83.4%; OR, 0.89; 95% CI, 0.67-1.19) and there were no significant within-hospital differences in quality for Black patients vs White patients. Among Medicare beneficiaries, the risk-adjusted hazard ratio (HR) for 30-day readmissions was higher at high-proportion Black vs other hospitals (HR, 1.14; 95% CI, 1.02-1.26), but similar for 30-day mortality (HR 0.92; 95% CI,0.84-1.02).

Conclusions and Relevance

Quality of care for HF was similar across 11 of 14 measures at hospitals caring for high proportions of Black patients compared with other hospitals, as was overall defect-free HF care. There were no significant within-hospital differences in quality for Black patients vs White patients.

Locking the Revolving Door: Racial Disparities in Cardiovascular Disease

Racial disparities in cardiovascular disease are unjust, systematic, and preventable. Social determinants are a primary cause of health disparities, and these include factors such as structural and overt racism. Despite a number of efforts implemented over the past several decades, disparities in cardiovascular disease care and outcomes persist, pervading more the outpatient rather than the inpatient setting, thus putting racial and ethnic minority groups at risk for hospital readmissions. In this article, we discuss differences in care and outcomes of racial and ethnic minority groups in both of these settings through a review of registries. Furthermore, we explore potential factors that connote a revolving door phenomenon for those whose adverse outpatient environment puts them at risk for hospital readmissions. Additionally, we review promising strategies, as well as actionable items at the policy, clinical, and educational levels aimed at locking this revolving door.

Achieving Equity in Hospital Performance Assessments Using Composite Race-Specific Measures of Risk-Standardized Readmission and Mortality Rates for Heart Failure

BACKGROUND

The contemporary measures of hospital performance for heart failure hospitalization and 30-day risk-standardized readmission rate (RSRR) and risk-standardized mortality rate (RSMR) are estimated using the same risk adjustment model and overall event rate for all patients. Thus, these measures are mainly driven by the care quality and outcomes for the majority racial and ethnic group, and may not adequately represent the hospital performance for patients of Black and other races.

METHODS

Fee-for-service Medicare beneficiaries from January 2014 to December 2019 hospitalized with heart failure were identified. Hospital-level 30-day RSRR and RSMR were estimated using the traditional race-agnostic models and the race-specific approach. The composite race-specific performance metric was calculated as the average of the RSRR/RMSR measures derived separately for each race and ethnicity group. Correlation and concordance in hospital performance for all patients and patients of Black and other races were assessed using the composite race-specific and race-agnostic metrics.

RESULTS

The study included 1 903 232 patients (75.7% White [n=1 439 958]; 14.5% Black [n=276 684]; and 9.8% other races [n=186 590]) with heart failure from 1860 hospitals. There was a modest correlation between hospital-level 30-day performance metrics for patients of White versus Black race (Pearson correlation coefficient: RSRR=0.42; RSMR=0.26). Compared with the race-agnostic RSRR and RSMR, composite race-specific metrics for all patients demonstrated stronger correlation with RSRR (correlation coefficient: 0.60 versus 0.74) and RSMR (correlation coefficient: 0.44 versus 0.51) for Black patients. Concordance in hospital performance for all patients and patients of Black race was also higher with race-specific (versus race-agnostic) metrics (RSRR=64% versus 53% concordantly high-performing; 61% versus 51% concordantly low-performing). Race-specific RSRR and RSMR metrics (versus race-agnostic) led to reclassification in performance ranking of 35.8% and 39.2% of hospitals, respectively, with better 30-day and 1-year outcomes for patients of all race groups at hospitals reclassified as high-performing.

CONCLUSIONS

Among patients hospitalized with heart failure, race-specific 30-day RSMR and RSRR are more equitable in representing hospital performance for patients of Black and other races.

Effect of Medicare Advantage on Hospital Readmission and Mortality Rankings

BACKGROUND

Medicare links hospital performance on readmissions and mortality to payment solely on the basis of outcomes among fee-for-service (FFS) beneficiaries. Whether including Medicare Advantage (MA) beneficiaries, who account for nearly half of all Medicare beneficiaries, in the evaluation of hospital performance affects rankings is unknown.

OBJECTIVE

To determine if the inclusion of MA beneficiaries in readmission and mortality measures reclassifies hospital performance rankings compared with current measures.

DESIGN

Cross-sectional.

SETTING

Population-based.

PARTICIPANTS

Hospitals participating in the Hospital Readmissions Reduction Program or Hospital Value-Based Purchasing Program.

MEASUREMENTS

Using the 100% Medicare files for FFS and MA claims, the authors calculated 30-day risk-adjusted readmissions and mortality for acute myocardial infarction, heart failure, chronic obstructive pulmonary disease, and pneumonia on the basis of only FFS beneficiaries and then both FFS and MA beneficiaries. Hospitals were divided into quintiles of performance based on FFS beneficiaries only, and the proportion of hospitals that were reclassified to a different performance group with the inclusion of MA beneficiaries was calculated.

RESULTS

Of the hospitals in the top-performing quintile for readmissions and mortality based on FFS beneficiaries, between 21.6% and 30.2% were reclassified to a lower-performing quintile with the inclusion of MA beneficiaries. Similar proportions of hospitals were reclassified from the bottom performance quintile to a higher one across all measures and conditions. Hospitals with a higher proportion of MA beneficiaries were more likely to improve in performance rankings.

LIMITATION

Hospital performance measurement and risk adjustment differed slightly from those used by Medicare.

CONCLUSION

Approximately 1 in 4 top-performing hospitals is reclassified to a lower performance group when MA beneficiaries are included in the evaluation of hospital readmissions and mortality. These findings suggest that Medicare's current value-based programs provide an incomplete picture of hospital performance.

PRIMARY FUNDING SOURCE

Laura and John Arnold Foundation.

Association Between Community-Level Social Risk and Spending Among Medicare Beneficiaries: Implications for Social Risk Adjustment and Health Equity

Importance

Payers are increasingly using approaches to risk adjustment that incorporate community-level measures of social risk with the goal of better aligning value-based payment models with improvements in health equity.

Objective

To examine the association between community-level social risk and health care spending and explore how incorporating community-level social risk influences risk adjustment for Medicare beneficiaries.

Design, Setting, and Participants

Using data from a Medicare Advantage plan linked with survey data on self-reported social needs, this cross-sectional study estimated health care spending health care spending was estimated as a function of demographics and clinical characteristics, with and without the inclusion of Area Deprivation Index (ADI), a measure of community-level social risk. The study period was January to December 2019. All analyses were conducted from December 2021 to August 2022.

Exposures

Census block group-level ADI.

Main Outcomes and Measures

Regression models estimated total health care spending in 2019 and approximated different approaches to social risk adjustment. Model performance was assessed with overall model calibration (adjusted R2) and predictive accuracy (ratio of predicted to actual spending) for subgroups of potentially vulnerable beneficiaries.

Results

Among a final study population of 61 469 beneficiaries (mean [SD] age, 70.7 [8.9] years; 35 801 [58.2%] female; 48 514 [78.9%] White; 6680 [10.9%] with Medicare-Medicaid dual eligibility; median [IQR] ADI, 61 [42-79]), ADI was weakly correlated with self-reported social needs (r = 0.16) and explained only 0.02% of the observed variation in spending. Conditional on demographic and clinical characteristics, every percentile increase in the ADI (ie, more disadvantage) was associated with a $11.08 decrease in annual spending. Directly incorporating ADI into a risk-adjustment model that used demographics and clinical characteristics did not meaningfully improve model calibration (adjusted R2 = 7.90% vs 7.93%) and did not significantly reduce payment inequities for rural beneficiaries and those with a high burden of self-reported social needs. A postestimation adjustment of predicted spending for dual-eligible beneficiaries residing in high ADI areas also did not significantly reduce payment inequities for rural beneficiaries or beneficiaries with self-reported social needs.

Conclusions and Relevance

In this cross-sectional study of Medicare beneficiaries, the ADI explained little variation in health care spending, was negatively correlated with spending conditional on demographic and clinical characteristics, and was poorly correlated with self-reported social risk factors. This prompts caution and nuance when using community-level measures of social risk such as the ADI for social risk adjustment within Medicare value-based payment programs.

The Enhancing Oncology Model: Leveraging improvement science to increase health equity in value-based care

The Oncology Care Model (OCM), launched in 2016 by the Centers for Medicare and Medicaid Services, was the first demonstration of value-based payment in oncology. Although the OCM delivered mixed results in terms of quality of care and total episode costs, the model had no statistically significant impact on remediating racial, ethnic, and socioeconomic disparities among beneficiaries. These deficits have been prominent in other aspects of US healthcare, and as a result, the Institute for Healthcare Improvement has advocated for stakeholders to leverage improvement science, an applied science that focuses on implementing rapid cycles for change, to identify and overcome barriers to health equity. With the announcement of the new Enhancing Oncology Model, a continuation of the OCM's efforts in introducing value to cancer care for episodes surrounding chemotherapy administration, both policymakers and providers must apply tenets of improvement science and make eliminating disparities in alternative payment models a forefront objective. In this commentary, we discuss previous inequities in alternative payment models, the role that improvement science plays in addressing health-care disparities, and steps that stakeholders can take to maximize equitable outcomes in the Enhancing Oncology Model.

Were hospitals with sustained high performance more successful at reducing mortality during the pandemic's second wave?

BACKGROUND

In 2019, the COVID-19 pandemic emerged. Variation in COVID-19 patient outcomes between hospitals was later reported.

PURPOSE

This study aims to determine whether sustainers-hospitals with sustained high performance on Hospital Value-Based Purchasing Total Performance Score (HVBP-TPS)-more effectively responded to the pandemic and therefore had better patient outcomes.

METHODOLOGY

We calculated hospital-specific risk-standardized event rates using deidentified patient-level data from the UnitedHealth Group Clinical Discovery Database. HVBP-TPS from 2016 to 2019 were obtained from Centers for Medicare & Medicaid Services. Hospital characteristics were obtained from the American Hospital Association Annual Survey Database (2019), and county-level predictors were obtained from the Area Health Resource File. We use a repeated-measures regression model assuming an AR(1) type correlation structure to test whether sustainers had lower mortality rates than nonsustainers during the first wave (spring 2020) and the second wave (October to December 2020) of the pandemic.

RESULTS

Sustainers did not have significantly lower COVID-19 mortality rates during the first wave of the pandemic, but they had lower COVID-19 mortality rates during the second wave compared to nonsustainers. Larger hospitals, teaching hospitals, and hospitals with higher occupancy rates had higher mortality rates.

CONCLUSION

During the first wave of the pandemic, mortality rates did not differ between sustainers and nonsustainers. However, sustainers had lower mortality rates than nonsustainers in the second wave, most likely because of their knowledge management capabilities and existing structures and resources that enable them to develop new processes and routines to care for patients in times of crisis. Therefore, a consistently high level of performance over the years on HVBP-TPS is associated with high levels of performance on COVID-19 patient outcomes.

PRACTICE IMPLICATIONS

Investing in identifying the knowledge, processes, and resources that foster the dynamic capabilities needed to achieve superior performance in HVBP might enable hospitals to utilize these capabilities to adapt more effectively to future changes and uncertainty.

Trends in Medicare Reimbursement for the Top 20 Surgical Procedures in Craniofacial Trauma

BACKGROUND

Research regarding financial trends in craniofacial trauma surgery is limited. Understanding these trends is important to the evolvement of suitable reimbursement models in craniofacial plastic surgery. The purpose of this study was to evaluate the trends in Medicare reimbursement rates for the top 20 most utilized surgical procedures for facial trauma.

METHODS

The 20 most commonly utilized Current Procedural Terminology (CPT) codes for facial trauma repairs in 2018 were queried from The National Summary Data File from the Centers for Medicare & Medicaid Services (CMS). Reimbursement data for each procedure was then extracted from The Physician Fee Schedule Lookup Tool. Changes to the United States consumer price index (CPI) were used to adjust all gathered data for inflation to 2021 US dollars (USD). The average annual and the total percent change in reimbursement were calculated for the included procedures based on the adjusted trends from the years 2000 to 2021.

RESULTS

From 2000 to 2021, the average reimbursement for all procedures decreased by 16.6% after adjusting for inflation. Closed treatment of temporomandibular joint dislocation and closed treatment of nasal bone fractures without manipulation demonstrated the greatest decrease in mean adjusted reimbursement at -48.7% and -48.3%, respectively, while closed treatment of nasal bone fractures without stabilization demonstrated the smallest mean decrease at -1.4% during the study period. Open treatment of nasal septal fractures with or without stabilization demonstrated the greatest increase in mean adjusted reimbursement at 18.9%, while closed treatment of nasal septal fractures with or without stabilization demonstrated the smallest increase at 1.2%. The average reimbursement for all closed procedures in the top 20 decreased by 19.3%, while that for all open procedures decreased by 15.5%. The adjusted reimbursement rate for all top 20 procedures decreased by an average of 0.8% each year.

CONCLUSIONS

To the best of our knowledge, this is the first study to comprehensively evaluate trends in Medicare reimbursement for facial trauma surgical repairs. Adjusting for inflation, Medicare reimbursement for the top 20 most commonly utilized procedures has largely decreased from 2000 to 2021. Consideration of these trends by surgeons, hospital systems, and policymakers will be important to assure continued access to meaningful surgical facial trauma care in the United States.

Racial and Ethnic Disparities in Access to Minimally Invasive Mitral Valve Surgery

IMPORTANCE

Whether people from racial and ethnic minority groups experience disparities in access to minimally invasive mitral valve surgery (MIMVS) is not known.

OBJECTIVE

To investigate racial and ethnic disparities in the utilization of MIMVS.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the Society of Thoracic Surgeons Database for patients who underwent mitral valve surgery between 2014 and 2019. Statistical analysis was performed from January 24 to August 11, 2022.

EXPOSURES

Patients were categorized as non-Hispanic White, non-Hispanic Black, and Hispanic individuals.

MAIN OUTCOMES AND MEASURES

The association between MIMVS (vs full sternotomy) and race and ethnicity were evaluated using logistic regression.

RESULTS

Among the 103 753 patients undergoing mitral valve surgery (mean [SD] age, 62 [13] years; 47 886 female individuals [46.2%]), 10 404 (10.0%) were non-Hispanic Black individuals, 89 013 (85.8%) were non-Hispanic White individuals, and 4336 (4.2%) were Hispanic individuals. Non-Hispanic Black individuals were more likely to have Medicaid insurance (odds ratio [OR], 2.21; 95% CI, 1.64-2.98; P < .001) and to receive care from a low-volume surgeon (OR, 4.45; 95% CI, 4.01-4.93; P < .001) compared with non-Hispanic White individuals. Non-Hispanic Black individuals were less likely to undergo MIMVS (OR, 0.65; 95% CI, 0.58-0.73; P < .001), whereas Hispanic individuals were not less likely to undergo MIMVS compared with non-Hispanic White individuals (OR, 1.08; 95% CI, 0.67-1.75; P = .74). Patients with commercial insurance had 2.35-fold higher odds of undergoing MIMVS (OR, 2.35; 95% CI, 2.06-2.68; P < .001) than those with Medicaid insurance. Patients operated by very-high volume surgeons (300 or more cases) had 20.7-fold higher odds (OR, 20.70; 95% CI, 12.7-33.9; P < .001) of undergoing MIMVS compared with patients treated by low-volume surgeons (less than 20 cases). After adjusting for patient risk, non-Hispanic Black individuals were still less likely to undergo MIMVS (adjusted OR [aOR], 0.88; 95% CI, 0.78-0.99; P = .04) and were more likely to die or experience a major complication (aOR, 1.25; 95% CI, 1.16-1.35; P < .001) compared with non-Hispanic White individuals.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, non-Hispanic Black patients were less likely to undergo MIMVS and more likely to die or experience a major complication than non-Hispanic White patients. These findings suggest that efforts to reduce inequity in cardiovascular medicine may need to include increasing access to private insurance and high-volume surgeons.

Accounting for the Growth of Observation Stays in the Assessment of Medicare's Hospital Readmissions Reduction Program

IMPORTANCE

Decreases in 30-day readmissions following the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP) have occurred against the backdrop of increasing hospital observation stay use, yet observation stays are not captured in readmission measures.

OBJECTIVE

To examine whether the HRRP was associated with decreases in 30-day readmissions after accounting for observation stays.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study included a 20% sample of inpatient admissions and observation stays among Medicare fee-for-service beneficiaries from January 1, 2009, to December 31, 2015. Data analysis was performed from November 2021 to June 2022. A differences-in-differences analysis assessed changes in 30-day readmissions after the announcement of the HRRP and implementation of penalties for target conditions (heart failure, acute myocardial infarction, and pneumonia) vs nontarget conditions under scenarios that excluded and included observation stays.

MAIN OUTCOMES AND MEASURES

Thirty-day inpatient admissions and observation stays.

RESULTS

The study included 8 944 295 hospitalizations (mean [SD] age, 78.7 [8.2] years; 58.6% were female; 1.3% Asian; 10.0% Black; 2.0% Hispanic; 0.5% North American Native; 85.0% White; and 1.2% other or unknown). Observation stays increased from 2.3% to 4.4% (91.3% relative increase) of index hospitalizations among target conditions and 14.1% to 21.3% (51.1% relative increase) of index hospitalizations for nontarget conditions. Readmission rates decreased significantly after the announcement of the HRRP and returned to baseline by the time penalties were implemented for both target and nontarget conditions regardless of whether observation stays were included. When only inpatient hospitalizations were counted, decreasing readmissions accrued into a -1.48 percentage point (95% CI, -1.65 to -1.31 percentage points) absolute reduction in readmission rates by the postpenalty period for target conditions and -1.13 percentage point (95% CI, -1.30 to -0.96 percentage points) absolute reduction in readmission rates by the postpenalty period for nontarget conditions. This reduction corresponded to a statistically significant differential change of -0.35 percentage points (95% CI, -0.59 to -0.11 percentage points). Accounting for observation stays more than halved the absolute decrease in readmission rates for target conditions (-0.66 percentage points; 95% CI, -0.83 to -0.49 percentage points). Nontarget conditions showed an overall greater decrease during the same period (-0.76 percentage points; 95% CI, -0.92 to -0.59 percentage points), corresponding to a differential change in readmission rates of 0.10 percentage points (95% CI, -0.14 to 0.33 percentage points) that was not statistically significant.

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that the reduction of readmissions associated with the implementation of the HRRP was smaller than originally reported. More than half of the decrease in readmissions for target conditions appears to be attributable to the reclassification of inpatient admission to observation stays.

Association of Hospital Participation in Bundled Payments for Care Improvement Advanced With Medicare Spending and Hospital Incentive Payments

Importance

Bundled Payments for Care Improvement Advanced (BPCI-A) is a Centers for Medicare & Medicaid Services (CMS) initiative that aims to produce financial savings by incentivizing decreases in clinical spending. Incentives consist of financial bonuses from CMS to hospitals or penalties paid by hospitals to CMS.

Objective

To investigate the association of hospital participation in BPCI-A with spending, and to characterize hospitals receiving financial bonuses vs penalties.

Design, Setting, and Participants

Difference-in-differences and cross-sectional analyses of 4 754 139 patient episodes using 2013-2019 US Medicare claims at 694 participating and 2852 nonparticipating hospitals merged with hospital and market characteristics.

Exposures

BPCI-A model years 1 and 2 (October 1, 2018, through December 31, 2019).

Main Outcomes and Measures

Hospitals' per-episode spending, CMS gross and net spending, and the incentive allocated to each hospital.

Results

The study identified 694 participating hospitals. The analysis observed a -$175 change in mean per-episode spending (95% CI, -$378 to $28) and an aggregate spending change of -$75.1 million (95% CI, -$162.1 million to $12.0 million) across the 428 670 episodes in BPCI-A model years 1 and 2. However, CMS disbursed $354.3 million (95% CI, $212.0 million to $496.0 million) more in bonuses than it received in penalties. Hospital participation in BPCI-A was associated with a net loss to CMS of $279.2 million (95% CI, $135.0 million to $423.0 million). Hospitals in the lowest quartile of Medicaid days received a mean penalty of $0.41 million; (95% CI, $0.09 million to $0.72 million), while those in the highest quartile received a mean bonus of $1.57 million; (95% CI, $1.09 million to $2.08 million). Similar patterns were observed for hospitals across increasing quartiles of Disproportionate Share Hospital percentage and of patients from racial and ethnic minority groups.

Conclusions and Relevance

Among US hospitals measured between 2013 and 2019, participation in BPCI-A was significantly associated with an increase in net CMS spending. Bonuses accrued disproportionately to hospitals providing care for marginalized communities.

Hospital value-based payment programs and disparity in the United States: A review of current evidence and future perspectives

Beginning in the early 2010s, an array of Value-Based Purchasing (VBP) programs has been developed in the United States (U.S.) to contain costs and improve health care quality. Despite documented successes in these efforts in some instances, there have been growing concerns about the programs' unintended consequences for health care disparities due to their built-in biases against health care organizations that serve a disproportionate share of disadvantaged patient populations. We explore the effects of three Medicare hospital VBP programs on health and health care disparities in the U.S. by reviewing their designs, implementation history, and evidence on health care disparities. The available empirical evidence thus far suggests varied impacts of hospital VBP programs on health care disparities. Most of the reviewed studies in this paper demonstrate that hospital VBP programs have the tendency to exacerbate health care disparities, while a few others found evidence of little or no worsening impacts on disparities. We discuss several policy options and recommendations which include various reform approaches and specific programs ranging from those addressing upstream structural barriers to health care access, to health care delivery strategies that target service utilization and health outcomes of vulnerable populations under the VBP programs. Future studies are needed to produce more explicit, conclusive, and consistent evidence on the impacts of hospital VBP programs on disparities.

Society of General Internal Medicine Position Statement on Social Risk and Equity in Medicare's Mandatory Value-Based Payment Programs

The Affordable Care Act (2010) and Medicare Access and CHIP Reauthorization Act (2015) ushered in a new era of Medicare value-based payment programs. Five major mandatory pay-for-performance programs have been implemented since 2012 with increasing positive and negative payment adjustments over time. A growing body of evidence indicates that these programs are inequitable and financially penalize safety-net systems and systems that care for a higher proportion of racial and ethnic minority patients. Payments from penalized systems are often redistributed to those with higher performance scores, which are predominantly better-financed, large, urban systems that serve less vulnerable patient populations - a "Reverse Robin Hood" effect. This inequity may be diminished by adjusting for social risk factors in payment policy. In this position statement, we review the literature evaluating equity across Medicare value-based payment programs, major policy reports evaluating the use of social risk data, and provide recommendations on behalf of the Society of General Internal Medicine regarding how to address social risk and unmet health-related social needs in these programs. Immediate recommendations include implementing peer grouping (stratification of healthcare systems by proportion of dual eligible Medicare/Medicaid patients served, and evaluation of performance and subsequent payment adjustments within strata) until optimal methods for accounting for social risk are defined. Short-term recommendations include using census-based, area-level indices to account for neighborhood-level social risk, and developing standardized approaches to collecting individual socioeconomic data in a robust but sensitive way. Long-term recommendations include implementing a research agenda to evaluate best practices for accounting for social risk, developing validated health equity specific measures of care, and creating policies to better integrate healthcare and social services.

Association of the Medicare Value-Based Purchasing Program With Changes in Patient Care Experience at Safety-net vs Non–Safety-net Hospitals

Question

Is the Centers for Medicare & Medicaid Services Hospital Value-Based Purchasing (VBP) program associated with changes in patient-reported experience in safety-net vs non–safety-net Hospitals?

Findings

In this cohort study of 2266 US hospitals, safety-net hospitals had lower performance than non–safety-net hospitals across all measures of patient experience and satisfaction from 2008 through 2019. The VBP program implementation was not associated with improvement in measures of patient experience in safety-net vs non–safety-net hospitals.

Meaning

Findings of this study suggest that the VBP program was not associated with improved patient experience at safety-net vs non–safety-net hospitals; policy makers may need to explore strategies beyond pay-for-performance programs to address the differences in patient-reported experience at these hospitals.

Importance

Safety-net hospitals, which have limited financial resources and care for disadvantaged populations, have lower performance on measures of patient experience than non–safety-net hospitals. In 2011, the Centers for Medicare & Medicaid Services Hospital Value-Based Purchasing (VBP) program began tying hospital payments to patient-reported experience scores, but whether implementation of this program narrowed differences in scores between safety-net and non–safety-net hospitals is unknown.

Objective

To evaluate whether the VBP program’s implementation was associated with changes in measures of patient-reported experience at safety-net hospitals compared with non–safety-net hospitals between 2008 and 2019.

Design, Setting, and Participants

This cohort study evaluated 2266 US hospitals that participated in the VBP program between 2008 and 2019. Safety-net hospitals were defined as those in the highest quartile of the disproportionate share hospital index. Data were analyzed from December 2021 to February 2022.

Main Outcomes and Measures

The primary outcomes were the Hospital Consumer Assessment of Healthcare Providers and Systems global measures of patient-reported experience and satisfaction, including a patient’s overall rating of a hospital and willingness to recommend a hospital. Secondary outcomes included the 7 other Hospital Consumer Assessment of Healthcare Providers and Systems measures encompassing communication ratings, clinical processes ratings, and hospital environment ratings. Piecewise linear mixed regression models were used to assess annual trends in performance on each patient experience measure by hospital safety-net status before (July 1, 2007-June 30, 2011) and after (July 1, 2011-June 30, 2019) implementation of the VBP program.

Results

Of 2266 US hospitals, 549 (24.2%) were safety-net hospitals. Safety-net hospitals were more likely than non–safety-net hospitals to be nonteaching (67.6% [371 of 549] vs 53.1% [912 of 1717]; P < .001) and urban (82.5% [453 of 549] vs 77.4% [1329 of 1717]; P = .01). Safety-net hospitals consistently had lower patient experience scores than non–safety-net hospitals across all measures from 2008 to 2019. The percentage of patients rating safety-net hospitals as a 9 or 10 out of 10 increased during the pre-VBP program period (annual percentage change, 1.84%; 95% CI, 1.73%-1.96%) and at a slower rate after VBP program implementation (annual percentage change, 0.49%; 95% CI, 0.45%-0.53%) at safety-net hospitals. Similar patterns were observed at non–safety-net hospitals (pre-VBP program annual percentage change, 1.84% [95% CI, 1.77%-1.90%] and post-VBP program annual percentage change, 0.42% [95% CI, 0.41%-0.45%]). There was no differential change in performance between these sites after the VBP program implementation (adjusted differential change, 0.07% [95% CI, −0.08% to 0.23%]; P = .36). These patterns were similar for the global measure that assessed whether patients would definitely recommend a hospital. There was also no differential change in performance between safety-net and non–safety-net hospitals under the VBP program across measures of communication, including doctor (adjusted differential change, −0.09% [95% CI, −0.19% to 0.01%]; P = .08) and nurse (adjusted differential change, −0.01% [95% CI, −0.12% to 0.10%]; P = .86) communication as well as clinical process measures (staff responsiveness adjusted differential change, 0.13% [95% CI, −0.03% to 0.29%]; P = .11; and discharge instructions adjusted differential change, −0.02% [95% CI, −0.12% to 0.07%]; P = .62).

Conclusions and Relevance

This cohort study of 2266 US hospitals found that the VBP program was not associated with improved patient experience at safety-net hospitals vs non–safety-net hospitals during an 8-year period. Policy makers may need to explore other strategies to address ongoing differences in patient experience and satisfaction, including additional support for safety-net hospitals.

Is the Centers for Medicare and Medicaid Services Hierarchical Condition Category Risk Adjustment Model Satisfactory for Quantifying Risk After Spine Surgery?

BACKGROUND

The Centers for Medicare and Medicaid Services (CMS) hierarchical condition category (HCC) coding is a risk adjustment model that allows for the estimation of risk-and cost-associated with health care provision. Current models may not include key factors that fully delineate the risk associated with spine surgery.

OBJECTIVE

To augment CMS HCC risk adjustment methodology with socioeconomic data to improve its predictive capabilities for spine surgery.

METHODS

The National Inpatient Sample was queried for spinal fusion, and the data was merged with county-level coverage and socioeconomic status variables obtained from the Brookings Institute. We predicted outcomes (death, nonroutine discharge, length of stay [LOS], total charges, and perioperative complication) with pairs of hierarchical, mixed effects logistic regression models-one using CMS HCC score alone and another augmenting CMS HCC scores with demographic and socioeconomic status variables. Models were compared using receiver operating characteristic curves. Variable importance was assessed in conjunction with Wald testing for model optimization.

RESULTS

We analyzed 653 815 patients. Expanded models outperformed models using CMS HCC score alone for mortality, nonroutine discharge, LOS, total charges, and complications. For expanded models, variable importance analyses demonstrated that CMS HCC score was of chief importance for models of mortality, LOS, total charges, and complications. For the model of nonroutine discharge, age was the most important variable. For the model of total charges, unemployment rate was nearly as important as CMS HCC score.

CONCLUSION

The addition of key demographic and socioeconomic characteristics substantially improves the CMS HCC risk-adjustment models when modeling spinal fusion outcomes. This finding may have important implications for payers, hospitals, and policymakers.

Neighborhood Socioeconomic Disadvantage and Mortality Among Medicare Beneficiaries Hospitalized for Acute Myocardial Infarction, Heart Failure, and Pneumonia

BACKGROUND

The Centers for Medicare and Medicaid Services' Hospital Value-Based Purchasing program uses 30-day mortality rates for acute myocardial infarction, heart failure, and pneumonia to evaluate US hospitals, but does not account for neighborhood socioeconomic disadvantage when comparing their performance.

OBJECTIVE

To determine if neighborhood socioeconomic disadvantage is associated with worse 30-day mortality rates after a hospitalization for acute myocardial infarction (AMI), heart failure (HF), or pneumonia in the USA, as well as within the subset of counties with a high proportion of Black individuals.

DESIGN AND PARTICIPANTS

This retrospective, population-based study included all Medicare fee-for-service beneficiaries aged 65 years or older hospitalized for acute myocardial infarction, heart failure, or pneumonia between 2012 and 2015.

EXPOSURE

Residence in most socioeconomically disadvantaged vs. less socioeconomically disadvantaged neighborhoods as measured by the area deprivation index (ADI).

MAIN MEASURE(S)

All-cause mortality within 30 days of admission.

KEY RESULTS

The study included 3,471,592 Medicare patients. Of these patients, 333,472 resided in most disadvantaged neighborhoods and 3,138,120 in less disadvantaged neighborhoods. Patients living in the most disadvantaged neighborhoods were younger (78.4 vs. 80.0 years) and more likely to be Black adults (24.6% vs. 7.5%) and dually enrolled in Medicaid (39.4% vs. 21.8%). After adjustment for demographics (age, sex, race/ethnicity), poverty, and clinical comorbidities, 30-day mortality was higher among beneficiaries residing in most disadvantaged neighborhoods for AMI (adjusted odds ratio 1.08, 95% CI 1.06-1.11) and pneumonia (aOR 1.05, 1.03-1.07), but not for HF (aOR 1.02, 1.00-1.04). These patterns were similar within the subset of US counties with a high proportion of Black adults (AMI, aOR 1.07, 1.03-1.11; HF 1.02, 0.99-1.05; pneumonia 1.03, 1.00-1.07).

CONCLUSIONS

Neighborhood socioeconomic disadvantage is associated with higher 30-day mortality for some conditions targeted by value-based programs, even after accounting for individual-level demographics, clinical comorbidities, and poverty. These findings may have implications as policymakers weigh strategies to advance health equity under value-based programs.

HFSA Position Statement The Impact of Healthcare Disparities on Patients with Heart Failure

Heart Failure (HF) remains a condition associated with high morbidity, mortality, and associated costs. Although the number of medical and device-based therapies available to treat HF are expanding at a remarkable rate, disparities in the risk for incident HF and treatments delivered to patients are also of growing concern. These disparities span across racial and ethnic groups, socioeconomic status, and apply across the spectrum of HF from Stage A to Stage D. The complexity of HF risk and treatment is further impacted by the number of patients who experience the downstream impact of social determinants of health. The purpose of this document is to highlight the known healthcare disparities that exist in the care of patients with HF, and to provide a context for how clinicians and researchers should assess both biologic and social determinants of HF risk in vulnerable populations. Furthermore, this document will provide a framework for future steps that can be utilized to help diminish inequalities in access and clinical outcomes over time, and offer solutions to help reduce disparities within HF care.

Association of readmission penalty amount with subsequent 30-day risk standardized readmission and mortality rates among patients hospitalized with heart failure: An analysis of get with the guidelines - heart failure participating centers

BACKGROUND

The Hospital Readmissions Reduction Program penalizes hospitals with excess 30-day risk-standardized readmission rates (RSRR) for heart failure (HF). The association of financial penalty amount with subsequent short-term clinical outcomes is unknown.

METHODS

Patients admitted to American Heart Association Get With The Guidelines-HF registry participating centers from October 1, 2012 through December 1, 2015 who had Medicare-linked data were included. October 2012 hospital-specific penalty amounts were calculated based on diagnosis-related group payments and excess readmission ratios. Adjusted Cox models were created to evaluate the association of penalty amount categories (non-penalized: 0%; low-penalized: >0%-<0.50%; mid-penalized ≥0.50%-<0.99%; high-penalized ≥0.99%) with subsequent 30-day RSRR and risk-standardized mortality rates (RSMR). Trends in post-discharge 30-day RSRR and RSMR from 2012 to 2015 were analyzed across hospitals stratified by penalty amount categories.

RESULTS

The present study included 61,329 patients who were admitted across 262 hospitals. Compared with patients admitted to non-penalized hospitals (36.3%), those admitted to increasingly penalized hospitals were more likely to have higher 30-day RSRR (low-penalized [43.9%]: HR, 1.10 [95% CI, 1.04-1.16]; mid-penalized [12.0%]: HR, 1.07 [95% CI, 0.99-1.16]; high-penalized [7.9%]: HR, 1.23 [95% CI, 1.12-1.35]) but not 30-day RSMR. Over time, 30-day RSRR and RSMR did not meaningfully change across penalized versus non-penalized hospitals.

CONCLUSIONS

Financial penalties based on 30-day RSRR are not associated with declines in 30-day RSRR or RSMR from 2012 to 2015 among patients hospitalized with HF. Financially penalizing hospitals based on current Hospital Readmissions Reduction Program metrics may not incentivize improvements in short-term clinical outcomes for HF.

Three-Year Impact Of Stratification In The Medicare Hospital Readmissions Reduction Program

The Medicare Hospital Readmissions Reduction Program (HRRP) financially penalizes hospitals with high readmission rates. In fiscal year 2019 the program was changed to account for the association between social risk and high readmission rates. The new approach stratifies hospitals into five groups by hospitals' proportion of patients dually enrolled in Medicare and Medicaid, and it evaluates performance within each stratum instead of within the national cohort. Its impact on hospitals caring for vulnerable populations has not been studied. We calculated the change in average annual penalty percentage, before and after stratification, for safety-net hospitals, rural hospitals, and hospitals caring for a high share of Black and Hispanic or Latino patients. We found that stratification by proportion of dual enrollees was associated with a decrease in penalties by -0.09 percentage points at hospitals with the highest proportion of dual enrollees, -0.08 percentage points at rural hospitals, and -0.06 percentage points at hospitals with a large share of Black and Hispanic or Latino patients. Fully adjusted analyses suggest that these patterns were driven by penalty reductions at rural hospitals and hospitals disproportionately serving Black and Hispanic or Latino patients. Given the allocation of fewer penalties to these hospitals, we conclude that the stratification mandate was a modest step toward equity within the HRRP.

Race, Racism, and Cardiovascular Health: Applying a Social Determinants of Health Framework to Racial/Ethnic Disparities in Cardiovascular Disease

Health care in the United States has seen many great innovations and successes in the past decades. However, to this day, the color of a person's skin determines-to a considerable degree-his/her prospects of wellness; risk of disease, and death; and the quality of care received. Disparities in cardiovascular disease (CVD)-the leading cause of morbidity and mortality globally-are one of the starkest reminders of social injustices, and racial inequities, which continue to plague our society. People of color-including Black, Hispanic, American Indian, Asian, and others-experience varying degrees of social disadvantage that puts these groups at increased risk of CVD and poor disease outcomes, including mortality. Racial/ethnic disparities in CVD, while documented extensively, have not been examined from a broad, upstream, social determinants of health lens. In this review, we apply a comprehensive social determinants of health framework to better understand how structural racism increases individual and cumulative social determinants of health burden for historically underserved racial and ethnic groups, and increases their risk of CVD. We analyze the link between race, racism, and CVD, including major pathways and structural barriers to cardiovascular health, using 5 distinct social determinants of health domains: economic stability; neighborhood and physical environment; education; community and social context; and healthcare system. We conclude with a set of research and policy recommendations to inform future work in the field, and move a step closer to health equity.

Race and Ethnicity in Heart Failure: JACC Focus Seminar 8/9

Heart failure (HF) affects >6 million Americans, with variations in incidence, prevalence, and clinical outcomes by race/ethnicity. Black adults have the highest risk for HF, with earlier age of onset and the highest risk of death and hospitalizations. The risk of hospitalizations for Hispanic patients is higher than White patients. Data on HF in Asian individuals are more limited. However, the higher burden of traditional cardiovascular risk factors, particularly among South Asian adults, is associated with increased risk of HF. The role of environmental, socioeconomic, and other social determinants of health, more likely for Black and Hispanic patients, are increasingly recognized as independent risk factors for HF and worse outcomes. Structural racism and implicit bias are drivers of health care disparities in the United States. This paper will review the clinical, physiological, and social determinants of HF risk, unique for race/ethnic minorities, and offer solutions to address systems of inequality that need to be recognized and dismantled/eradicated.

Social Vulnerability and Premature Cardiovascular Mortality Among US Counties, 2014 to 2018

BACKGROUND

Substantial differences exist between United States counties with regards to premature (<65 years of age) cardiovascular disease (CVD) mortality. Whether underlying social vulnerabilities of counties influence premature CVD mortality is uncertain.

METHODS

In this cross-sectional study (2014-2018), we linked county-level CDC/ATSDR SVI (Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index) data with county-level CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiological Research) mortality data. We calculated scores for overall SVI and its 4 subcomponents (ie, socioeconomic status; household composition and disability; minority status and language; and housing type and transportation) using 15 social attributes. Scores were presented as percentile rankings by county, further classified as quartiles on the basis of their distribution among all US counties (1st [least vulnerable] = 0 to 0.25; 4th [most vulnerable = 0.75 to 1.00]). We grouped age-adjusted mortality rates per 100 000 person-years for overall CVD and its subtypes (ischemic heart disease, stroke, hypertension, and heart failure) for nonelderly (<65 years of age) adults across SVI quartiles.

RESULTS

Overall, the age-adjusted CVD mortality rate per 100 000 person-years was 47.0 (ischemic heart disease, 28.3; stroke, 7.9; hypertension, 8.4; and heart failure, 2.4). The largest concentration of counties with more social vulnerabilities and CVD mortality were clustered across the southwestern and southeastern parts of the United States. The age-adjusted CVD mortality rates increased in a stepwise manner from 1st to 4th SVI quartiles. Counties in the 4th SVI quartile had significantly higher mortality for CVD (rate ratio, 1.84 [95% CI, 1.43-2.36]), ischemic heart disease (1.52 [1.09-2.13]), stroke (2.03 [1.12-3.70]), hypertension (2.71 [1.54-4.75]), and heart failure (3.38 [1.32-8.61]) than those in the 1st SVI quartile. The relative risks varied considerably by demographic characteristics. For example, among all ethnicities/races, non-Hispanic Black adults in the 4th SVI quartile versus the 1st SVI quartile exclusively had significantly higher relative risks of stroke (1.65 [1.07-2.54]) and heart failure (2.42 [1.29-4.55]) mortality. Rural counties with more social vulnerabilities had 2- to 5-fold higher mortality attributable to CVD and subtypes.

CONCLUSIONS

In this analysis, US counties with more social vulnerabilities had higher premature CVD mortality, varied by demographic characteristics and rurality. Focused public health interventions should address the socioeconomic disparities faced by underserved communities to curb the growing burden of premature CVD.