Postacute Care for Medicare Advantage Enrollees Who Switched to Traditional Medicare Compared With Those Who Remained in Medicare Advantage.

Importance: Medicare Advantage (MA) plans receive capitated per enrollee payments that create financial incentives to provide care more efficiently than traditional Medicare (TM); however, incentives could be associated with MA plans reducing use of beneficial services. Postacute care can improve functional status, but it is costly, and thus may be provided differently to Medicare beneficiaries by MA plans compared with TM. Objective: To estimate the association of MA compared with TM enrollment with postacute care use and postdischarge outcomes. Design, Setting, and Participants: This was a cohort study using Medicare data on 4613 hospitalizations among retired Ohio state employees and 2 comparison groups in 2015 and 2016. The study investigated the association of a policy change with use of postacute care and outcomes. The policy changed state retiree health benefits in Ohio from a mandatory MA plan to subsidies for either supplemental TM coverage or an MA plan. After policy implementation, approximately 75% of retired Ohio state employees switched to TM. Hospitalizations for 3 high-volume conditions that usually require postacute rehabilitation were assessed. Data from the Medicare Provider Analysis and Review files were used to identify all hospitalizations in short-term acute care hospitals. Difference-in-difference regressions were used to estimate changes for retired Ohio state employees compared with other 2015 MA enrollees in Ohio and with Kentucky public retirees who were continuously offered a mandatory MA plan. Data analyses were performed from September 1, 2019, to November 30, 2023. Exposures: Enrollment in Ohio state retiree health benefits in 2015, after which most members shifted to TM. Main Outcomes and Measures: Received care in an inpatient rehabilitation facility, skilled nursing facility, or home health, or any postacute care; the occurrence of any hospital readmission; the number of days in the community during the 30 days after hospital discharge; and mortality. Results: The study sample included 2373 hospitalizations for Ohio public retirees, 1651 hospitalizations for other Humana MA enrollees in Ohio, and 589 hospitalizations for public retirees in Kentucky. After the 2016 policy implementation, the percentage of hospitalizations covered by MA decreased by 70.1 (95% CI, -74.2 to -65.9) percentage points (pp), inpatient rehabilitation facility admissions increased by 9.7 (95% CI, 4.7 to 14.7) pp, use of only home health or skilled nursing facility care fell by 8.6 (95% CI, -14.6 to -2.6) pp, and days in the community fell by 1.6 (95% CI, -2.9 to -0.3) days for Ohio public retirees compared with other Humana MA enrollees in Ohio. There was no change in 30-day mortality or hospital readmissions; similar results were found by comparisons using Kentucky public retirees as a control group. Conclusions and Relevance: The findings of this cohort study indicate that after a change in retiree health benefits, most Ohio public retirees shifted from MA to TM and received more intensive postacute care with no significant change in measured short-term postdischarge outcomes. Future work should consider additional measures of postacute functional status over a longer follow-up period.

The segregation of physician networks providing care to black and white patients with heart disease: Concepts, measures, and empirical evaluation.

Black-White disparities in cardiac care may be related to physician referral network segregation. We developed and tested new geographic physician network segregation measures. We used Medicare claims to identify Black and White Medicare heart disease patients and map physician networks for 169 hospital referral regions (HRRs) with over 1000 Black patients. We constructed two network segregation indexes ranging from 0 (integration) to 100 (total segregation): Dissimilarity (the unevenness of Black and White patient distribution across physicians [Dn]) and Absolute Clustering (the propensity of Black patients' physicians to have closer ties with each other than with other physicians [ACLn]). We employed conditional logit models to estimate the probability of using the best (lowest mortality) geographically available hospital for Black and White patients undergoing coronary artery bypass grafting (CABG) surgery in 126 markets with sufficient sample size at increasing levels of network segregation and for low vs. high HRR Black patient population. Physician network segregation was lower than residential segregation (Dissimilarity 21.9 vs. 48.7, and Absolute Clustering 4.8 vs. 32.4) and positively correlated with residential segregation (p < .001). Network segregation effects differed by race and HRR Black patient population. For White patients, higher network segregation was associated with a higher probability of using the best available hospitals in HRRs with few black patients but unchanged (ACLn) or lower (Dn) probability of best hospital use in HRRs with many Black patients. For Black patients, higher network segregation was not associated with a substantial change in the probability of best hospital use regardless of the HRR Black patient population size. Measuring physician network segregation is feasible and associated with nuanced effects on Black-White differences in high-quality hospital use for heart disease. Further work is needed to understand underlying mechanisms and potential uses in health equity policy.

Within-Physician Differences in Patient Sharing Between Primary Care Physicians and Cardiologists Who Treat White and Black Patients With Heart Disease.

BACKGROUND: Black-White disparities in heart disease treatment may be attributable to differences in physician referral networks. We mapped physician networks for Medicare patients and examined within-physician Black-White differences in patient sharing between primary care physicians and cardiologists. METHODS AND RESULTS: Using Medicare fee-for-service files for 2016 to 2017, we identified a cohort of Black and White patients with heart disease and the primary care physicians and cardiologists treating them. To ensure the robustness of within-physician comparisons, we restricted the sample to regional health care markets (ie, hospital referral regions) with at least 10 physicians sharing ≥3 Black and White patients. We used claims to construct 2 race-specific physician network measures: degree (number of cardiologists with whom a primary care physician shares patients) and transitivity (network tightness). Measures were adjusted for Black-White differences in physician panel size and calculated for all settings (hospital and office) and for office settings only. Of 306 US hospital referral regions, 226 and 145 met study criteria for all settings and office setting analyses, respectively. Black patients had more cardiology encounters overall (6.9 versus 6.6; P<0.001) and with unique cardiologists (3.0 versus 2.6; P<0.001), but fewer office encounters (31.7% versus 41.1%; P<0.001). Primary care physicians shared Black patients with more cardiologists than White patients (mean differential degree 23.4 for all settings and 3.6 for office analyses; P<0.001 for both). Black patient-sharing networks were less tightly connected in all but office settings (mean differential transitivity -0.2 for all settings [P<0.001] and near 0 for office analyses [P=0.74]). CONCLUSIONS: Within-physician Black-White differences in patient sharing exist and may contribute to disparities in cardiac care.

Relationship of POLST to Hospitalization and ICU Care Among Nursing Home Residents in California.

BACKGROUND: Physician Orders for Life Sustaining Treatment (POLST) document instructions for intensity of care based upon patient care preferences. POLST forms generally reflect patients' wishes and dictate subsequent medical care, but it is not known how POLST use and content among nursing home residents is associated with inpatient utilization across a large population. OBJECTIVE: Evaluate the relationship between POLST use and content with hospital utilization among nursing home residents in California. DESIGN: Retrospective cohort study using the Minimum Data Set linked to California Section S (POLST documentation), the Medicare Beneficiary Summary File, and Medicare line item claims. PATIENTS: California nursing home residents with Medicare fee-for-service insurance, 2011-2016. MAIN MEASURES: Hospitalization, days in the hospital, and days in the intensive care unit (ICU) after adjustment for resident and nursing home characteristics. KEY RESULTS: The 1,112,834 residents had a completed and signed (valid) POLST containing orders for CPR with Full treatment 29.6% of resident-time (in person-years) and a DNR order with Selective treatment or Comfort care 27.1% of resident-time. Unsigned POLSTs accounted for 11.3% of resident-time. Residents experienced 14 hospitalizations and a mean of 120 hospital days and 37 ICU days per 100 person-years. Residents with a POLST indicating CPR Full treatment had utilization nearly identical to residents without a POLST. A gradient of decreased utilization was related to lower intensity of care orders. Compared to residents without a POLST, residents with a POLST indicating DNR Comfort care spent 56 fewer days in the hospital and 22 fewer days in the ICU per 100 person-years. Unsigned POLST had a weaker and less consistent relationship with hospital utilization. CONCLUSIONS: Among California NH residents, there is a direct relationship between intensity of care preferences in POLST and hospital utilization. These findings emphasize the importance of a valid POLST capturing informed preferences for nursing home residents.

Changes over time in POLST use and content by race and ethnicity among California nursing home residents.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) are commonly used for nursing home (NH) residents. Treatment orders differ across race and ethnicity, presumably related to cultural and socioeconomic variation and levels of access to care and trust. Because national efforts focus on addressing the underpinnings of racial and ethnic differences in treatment (i.e., access to care and trust), we describe POLST use and content by race and ethnicity. METHODS: California requires NHs to document POLST completion and content in the Minimum Data Set. We describe POLST completion and content for all California NH residents from 2011 to 2016 (N = 1,120,376). Adjusting for resident characteristics, we compared changes in completion rate and differences by race and ethnicity in POLST content-orders for cardiopulmonary resuscitation (CPR), do not resuscitate (DNR), CPR with full treatment, DNR with selective treatment or comfort orders, and if unsigned. RESULTS: POLST completion increased across all racial and ethnic groups from 2011 to 2016; by 2016, NH residents had a POLST two-thirds or more of the time. In 2011, Black residents had a POLST with a CPR order 30.4% of the time, Hispanic residents 25.6%, and White residents 19.7%. By 2016, this grew to 42.5%, 38.2%, and 28.1%, respectively, with Black and Hispanic residents demonstrating larger increases than White residents (p < 0.001). Increases over time in POLST with CPR and full treatment were greater for Black and Hispanic residents compared to White residents. The increase in POLST with DNR and DNR with Selective treatment and Comfort orders was greater for White compared to Black patients (p < 0.001). Unsigned POLST with CPR and DNR orders decreased across all racial and ethnic groups. CONCLUSIONS: Racial and ethnic differences in POLST intensity of care orders increased between 2011 and 2016 suggesting that efforts to mitigate factors underlying differences were ineffective. Studies of newer POLST data are imperative.

Racial and Ethnic Differences in Insurance Outcomes After Job Loss During the First Year of the COVID-19 Pandemic.

This cohort study uses national survey data to assess the racial and ethnic differences in insurance coverage after job loss during the first year of the COVID-19 pandemic.

Young Children's Mental Health Improves Following Medicaid Expansion to Low-Income Adults.

OBJECTIVE: We investigate whether the Affordable Care Act's Medicaid expansion, implemented in 2014, improved the mental health of young children whose parents are in the policy's target population. We study children ages 2 to 3 in families with incomes less than 138% of the federal poverty level. METHODS: We use restricted National Health Interview Survey data covering the United States from 2010 to 2018 to conduct an event study-a flexible version of difference-in-differences-of the Medicaid expansion's effects on Mental Health Indicator values for young children. We estimate effects using ordered logit regression. RESULTS: Children's mental health was statistically significantly better in Medicaid expansion states, compared with non-expansion states, in 3 of 4 post-expansion years. There were no differences between expansion and non-expansion states in the pre-expansion period, lending support to the causal interpretation that the expansion improved children's mental health. CONCLUSIONS: While Medicaid expansion targets low-income adults, our evidence indicates it improves low-income children's mental health. The expansion is a two-generation investment in prevention. It helps lay a foundation for strong mental health in children's early years and beyond.

Is Bigger Better?: A Closer Look at Small Health Systems in the United States.

BACKGROUND: Research on US health systems has focused on large systems with at least 50 physicians. Little is known about small systems. OBJECTIVES: Compare the characteristics, quality, and costs of care between small and large health systems. RESEARCH DESIGN: Retrospective, repeated cross-sectional analysis. SUBJECTS: Between 468 and 479 large health systems, and between 608 and 641 small systems serving fee-for-service Medicare beneficiaries, yearly between 2013 and 2017. MEASURES: We compared organizational, provider and beneficiary characteristics of large and small systems, and their geographic distribution, using multiple Medicare and Internal Revenue Service administrative data sources. We used mixed-effects regression models to estimate differences between small and large systems in claims-based Healthcare Effectiveness Data and Information Set (HEDIS) quality measures and HealthPartners' Total Cost of Care measure using a 100% sample of Medicare fee-for-service claims. We fit linear spline models to examine the relationship between the number of a system's affiliated physicians and its quality and costs. RESULTS: The number of both small and large systems increased from 2013 to 2017. Small systems had a larger share of practice sites (43.1% vs. 11.7% for large systems in 2017) and beneficiaries (51.4% vs. 15.5% for large systems in 2017) in rural areas or small towns. Quality performance was lower among small systems than large systems (-0.52 SDs of a composite quality measure) and increased with system size up to ∼75 physicians. There was no difference in total costs of care. CONCLUSIONS: Small systems are a growing source of care for rural Medicare populations, but their quality performance lags behind large systems. Future studies should examine the mechanisms responsible for quality differences.

The Affordable Care Act Medicaid expansion: A difference-in-differences study of spillover participation in SNAP.

The Affordable Care Act's Medicaid expansion to individuals with adults under 138 percent of the federal poverty level led to insurance coverage for millions of Americans in participating states. This study investigates Medicaid expansion's potential spillover participation in the Supplemental Nutrition Assistance Program (SNAP; formerly the Food Stamp Program). In addition to providing public insurance, the policy connects individuals to SNAP, affecting social determinants of health such as hunger. We use difference-in-differences regression to estimate the effect of the Medicaid expansion on SNAP participation among approximately 414,000 individuals from across the United States. The Current Population Survey is used to answer the main research question, and the SNAP Quality Control Database allows for supplemental analyses. Medicaid expansion produces a 2.9 percentage point increase (p = 0.002) in SNAP participation among individuals under 138 percent of federal poverty. Subgroup analyses find a larger 5.0 percentage point increase (p = 0.002) in households under 75 percent of federal poverty without children. Able-Bodied Adults Without Dependents (ABAWDs) are a category of individuals with limited access to SNAP. Although they are a subset of adults without children, we found no spillover effect for ABAWDs. We find an increase in SNAP households with $0 income, supporting the finding that spillover was strongest for very-low-income individuals. Joint processing of Medicaid and SNAP applications helps facilitate the connection between Medicaid expansion and SNAP. Our findings contribute to a growing body of evidence that Medicaid expansion does more than improve access to health care by connecting eligible individuals to supports like SNAP. SNAP recipients have increased access to food, an important social determinant of health. Our study supports reducing administrative burdens to help connect individuals to safety net programs. Finally, we note that ABAWDs are a vulnerable group that need targeted program outreach.

Care preferences in physician orders for life sustaining treatment in California nursing homes.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) facilitates documentation and transition of patients' life-sustaining treatment orders across care settings. Little is known about patient and facility factors related to care preferences within POLST across a large, diverse nursing home population. We describe the orders within POLST among all nursing home (NH) residents in California from 2011 to 2016. METHODS: California requires NHs to document in the Minimum Data Set whether residents complete a POLST and orders within POLST. Using a serial cross-sectional design for each year, we describe POLST completion and orders for all California NH residents from 2011 to 2016 (N = 1,112,668). We used logistic mixed-effects regression models to estimate POLST completion and resuscitation orders to understand the relationship with resident and facility characteristics, including Centers for Medicare and Medicaid Services (CMS) Nursing Home Compare overall five-star quality rating. RESULTS: POLST completion significantly increased from 2011 to 2016 with most residents having a POLST in 2016 (short-stay:68%; long-stay:81%). Among those with a POLST in 2016, 54% of long-stay and 41% of short-stay residents had a DNR order. Among residents with DNR, >90% had orders for limited medical interventions or comfort measures. Few residents (<6%) had a POLST with contradictory orders. In regression analyses, POLST completion was greater among residents with more functional dependence, but was lower among those with more cognitive impairment. Greater functional and cognitive impairment were associated with DNR orders. Racial and ethnic minorities indicated more aggressive care preferences. Higher CMS five-star facility quality rating was associated with greater POLST completion. CONCLUSIONS: Six years after a state mandate to document POLST completion in NHs, most California NH residents have a POLST, and about half of long-stay residents have orders to limit life-sustaining treatment. Future work should focus on determining the quality of care preference decisions documented in POLST.

Did the Hospital Readmissions Reduction Program Reduce Readmissions without Hurting Patient Outcomes at High Dual-Proportion Hospitals Prior to Stratification?

Since the implementation of Medicare's Hospital Readmissions Reduction Program (HRRP), safety-net hospitals have received a disproportionate share of financial penalties for excess readmissions, raising concerns about the fairness of the policy. In response, the HRRP now stratifies hospitals into five quintiles by low-income Medicare (dual Medicare-Medicaid eligible) stay proportion and compares readmission rates within quintiles. To better understand the potential effects of the revised policy, we used difference-in-differences models to compare changes in 30-day readmission, 30-day mortality, and 90th-day community-dwelling rates after discharge of fee-for-service Medicare beneficiaries hospitalized for acute myocardial infarction, heart failure and pneumonia during 2007-2014, for hospitals in the highest (N = 677) and lowest (N = 678) dual-proportion quintiles before and after the original HRRP implementation in fiscal year 2013. We find that high dual-proportion hospitals lowered readmissions for all three conditions, while their patients' health outcomes remained largely stable. We also find that for heart failure, high dual-proportion hospitals reduced readmissions more than low dual-proportion hospitals, albeit with a relative increase in mortality. Contrary to concerns about fairness, our findings imply that, under the original HRRP, high dual-proportion hospitals improved readmissions performance generally without adverse effects on patients' health. Whether these gains could be retained under the new policy should be closely monitored.

The Affordable Care Act Medicaid Expansion, Social Disadvantage, and the Practice Location Choices of New General Internists.

BACKGROUND: A recent study found that states that expanded Medicaid under the Affordable Care Act (ACA) gained new general internists who were establishing their first practices, whereas nonexpansion states lost them. OBJECTIVE: The objective of this study was to examine the level of social disadvantage of the areas of expansion states that gained new physicians and the areas of nonexpansion states that lost them. RESEARCH DESIGN: We used American Community Survey data to classify commuting zones as high, medium, or low social disadvantage. Using 2009-2019 data from the AMA Physician Masterfile and information on states' Medicaid expansion status, we estimated conditional logit models to compare where new physicians located during the 6 years following the expansion to where they located during the 5 years preceding the expansion. SUBJECTS: A total of 32,102 new general internists. RESULTS: Compared with preexpansion patterns, new general internists were more likely to locate in expansion states after the expansion, a finding that held for high, medium, and low disadvantage areas. We estimated that, between 2014 and 2019, nonexpansion states lost 371 new general internists (95% confidence interval, 203-540) to expansion states. However, 62.5% of the physicians lost by nonexpansion states were lost from high disadvantage areas even though these areas only accounted for 17.9% of the population of nonexpansion states. CONCLUSIONS: States that opted not to expand Medicaid lost new general internists to expansion states. A highly disproportionate share of the physicians lost by nonexpansion states were lost from high disadvantage areas, potentially compromising access for all residents irrespective of insurance coverage.

Intergenerational Associations between Parents' and Children's Adverse Childhood Experience Scores.

BACKGROUND: Adverse childhood experiences (ACEs) are stressful childhood events associated with behavioral, mental, and physical illness. Parent experiences of adversity may indicate a child's adversity risk, but little evidence exists on intergenerational links between parents' and children's ACEs. This study examines these intergenerational ACE associations, as well as parent factors that mediate them. METHODS: The Panel Study of Income Dynamics (PSID) 2013 Main Interview and the linked PSID Childhood Retrospective Circumstances Study collected parent and child ACE information. Parent scores on the Aggravation in Parenting Scale, Parent Disagreement Scale, and the Kessler-6 Scale of Emotional Distress were linked through the PSID 1997, 2002, and 2014 PSID Childhood Development Supplements. Multivariate linear and multinomial logistic regression models estimated adjusted associations between parent and child ACE scores. RESULTS: Among 2205 parent-child dyads, children of parents with four or more ACEs had 3.25-fold (23.1% [95% CI 15.9-30.4] versus 7.1% [4.4-9.8], p-value 0.001) higher risk of experiencing four or more ACEs themselves, compared to children of parents without ACEs. Parent aggravation, disagreement, and emotional distress were partial mediators. CONCLUSIONS: Parents with higher ACE scores are far more likely to have children with higher ACEs. Addressing parenting stress, aggravation, and discord may interrupt intergenerational adversity cycles.

Effects of the Affordable Care Act Medicaid Expansion on the Distribution of New General Internists Across States.

BACKGROUND: Some states expanded Medicaid under the Affordable Care Act, boosting their low-income residents' demand for health care, while other states opted not to expand. OBJECTIVE: The objective of this study was to determine whether the Medicaid expansion influenced the states selected by physicians just completing graduate medical education for establishing their first practices. RESEARCH DESIGN: Using 2009-2019 data from the American Medical Association Physician Masterfile and information on states' Medicaid expansion status, we estimated conditional logit models to compare where new physicians located during the 6 years following implementation of the expansion to where they located during the 5 years preceding implementation. SUBJECTS: The sample consisted of 160,842 physicians in 8 specialty groups. RESULTS: Thirty-three states and the District of Columbia expanded Medicaid by the end of the study period. Compared with preexpansion patterns, we found that physicians in one specialty group-general internal medicine-were increasingly likely to locate in expansion states with time after the expansion. The Medicaid expansion influenced the practice location choices of men and international medical graduates in general internal medicine; women and United States medical graduates did not alter their preexpansion location patterns. Simulations estimated that, between 2014 and 2019, nonexpansion states lost 310 general internists (95% confidence interval, 156-464) to expansion states. CONCLUSIONS: The Medicaid expansion influenced the practice location choices of new general internists. States that opted not to expand Medicaid under the Affordable Care Act lost general internists to expansion states, potentially affecting access to care for all their residents irrespective of insurance coverage.

The effects of vertically integrated care on health care use and outcomes in inpatient rehabilitation facilities.

OBJECTIVE: To understand the effects of receiving vertically integrated care in inpatient rehabilitation facilities (IRFs) on health care use and outcomes. DATA SOURCES: Medicare enrollment, claims, and IRF patient assessment data from 2012 to 2014. STUDY DESIGN: We estimated within-IRF differences in health care use and outcomes between IRF patients admitted from hospitals vertically integrated with the IRF (parent hospital) vs patients admitted from other hospitals. For hospital-based IRFs, the parent hospital was defined as the hospital that owned the IRF and co-located with the IRF. For freestanding IRFs, the parent hospital(s) was defined as the hospital(s) that was in the same health system. We estimated models for freestanding and hospital-based IRFs and for fee-for-service (FFS) and Medicare Advantage (MA) patients. Dependent variables included hospital and IRF length of stay, functional status, discharged to home, and hospital readmissions. DATA EXTRACTION METHODS: We identified Medicare beneficiaries discharged from a hospital to IRF. PRINCIPAL FINDINGS: In adjusted models with hospital fixed effects, our results indicate that FFS patients in hospital-based IRFs discharged from the parent hospital had shorter hospital (-0.7 days, 95% CI: -0.9 to -0.6) and IRF (-0.7 days, 95% CI: -0.9 to -0.6) length of stay were less likely to be readmitted (-1.6%, 95% CI: -2.7% to -0.5%) and more likely to be discharged to home care (1.4%, 95% CI: 0.7% to 2.0%), without worse patient clinical outcomes, compared to patients discharged from other hospitals and treated in the same IRFs. We found similar results for MA patients. However, for patients in freestanding IRFs, we found little differences in health care use or patient outcomes between patients discharged from a parent hospital compared to patients from other hospitals. CONCLUSIONS: Our results indicate that receiving vertically integrated care in hospital-based IRFs shortens institutional length of stay while maintaining or improving health outcomes.

The association of vertically integrated care with health care use and outcomes.

OBJECTIVE: To determine whether vertically integrated hospital and skilled nursing facility (SNF) care is associated with more efficient use of postdischarge care and better outcomes. DATA SOURCES: Medicare provider, beneficiary, and claims data from 2012 to 2014. STUDY DESIGN: We compared facility characteristics, quality of care, and health care use for hospital-based SNFs and "virtually integrated" SNFs (defined as freestanding SNFs with close referral relationships with a single hospital) relative to nonintegrated freestanding SNFs. Among patients admitted to integrated SNFs, we estimated differences in health care use and outcomes for patients originating from the parent hospital (ie, receiving vertically integrated care) versus other hospitals using linear regressions that included SNF fixed effects. We estimated bounds for our main estimates that incorporated potential omitted variables bias. DATA EXTRACTION METHODS: We identified hospital-based SNFs based on provider data. We defined virtually integrated SNFs based on patient flows between hospitals and SNFs. We identified SNF episodes, preceding hospital stays, patient characteristics, health care use, and patient outcomes using Medicare data. PRINCIPAL FINDINGS: Consistent with prior research, integrated SNFs performed better on quality measures and health care use relative to nonintegrated SNFs (eg, hospital-based SNFs had 11-day shorter stays compared with nonintegrated SNFs adjusting for patient characteristics, P < .001). Stroke patients admitted to hospital-based SNFs from the parent hospital had shorter preceding hospital stays (adjusted difference: -1.2 days, P = .001) and shorter initial SNF stays (adjusted difference: -2.7 days, P = .049); estimates were attenuated but still robust accounting for potential omitted variables bias. For stroke patients, associations between vertically integrated care and other outcomes were either statistically insignificant or not robust to accounting for potential omitted variables bias. CONCLUSIONS: Vertically integrated hospital and SNF care was associated with shorter hospital and SNF stays. However, there were few beneficial associations with other outcomes, suggesting limited coordination benefits from vertical integration.

Health system affiliation of physician organizations and quality of care for Medicare beneficiaries who have high needs.

OBJECTIVE: To test the hypothesis that health systems provide better care to patients with high needs by comparing differences in quality between system-affiliated and nonaffiliated physician organizations (POs) and to examine variability in quality across health systems. DATA SOURCES: 2015 Medicare Data on Provider Practice and Specialty linked physicians to POs. Medicare Provider Enrollment, Chain, and Ownership System (PECOS) and IRS Form 990 data identified health system affiliations. Fee-for-service Medicare enrollment and claims data were used to examine quality. STUDY DESIGN: This cross-sectional analysis of beneficiaries with high needs, defined as having more than twice the expected spending of an average beneficiary, examined six quality measures: continuity of care, follow-up visits after hospitalizations and emergency department (ED) visits, ED visits, all-cause readmissions, and ambulatory care-sensitive hospitalizations. Using a matched-pair design, we estimated beneficiary-level regression models with PO random effects to compare quality of care in system-affiliated and nonaffiliated POs. We then limited the sample to system-affiliated POs and estimated models with system random effects to examine variability in quality across systems. PRINCIPAL FINDINGS: Among 2 323 301 beneficiaries with high needs, 52.3% received care from system-affiliated POs. Rates of ED visits were statistically significantly different in system-affiliated POs (117.5 per 100) and nonaffiliated POs (106.8 per 100, P < .0001). Small differences in the other five quality measures were observed across a range of sensitivity analyses. Among systems, substantial variation was observed for rates of continuity of care (90% of systems had rates between 70.8% and 89.4%) and follow-up after ED visits (90% of systems had rates between 56.9% and 73.5%). CONCLUSIONS: Small differences in quality of care were observed among beneficiaries with high needs receiving care from system POs and nonsystem POs. Health systems may not confer hypothesized quality advantages to patients with high needs.

Racial and ethnic disparities in care for health system-affiliated physician organizations and non-affiliated physician organizations.

OBJECTIVE: To assess racial and ethnic disparities in care for Medicare fee-for-service (FFS) beneficiaries and whether disparities differ between health system-affiliated physician organizations (POs) and nonaffiliated POs. DATA SOURCES: We used Medicare Data on Provider Practice and Specialty (MD-PPAS), Medicare Provider Enrollment, Chain, and Ownership System (PECOS), IRS Form 990, 100% Medicare FFS claims, and race/ethnicity estimated using the Medicare Bayesian Improved Surname Geocoding 2.0 algorithm. STUDY DESIGN: Using a sample of 16 007 POs providing primary care in 2015, we assessed racial/ethnic disparities on 12 measures derived from claims (2 cancer screenings; diabetic eye examinations; continuity of care; two medication adherence measures; three measures of follow-up visits after acute care; all-cause emergency department (ED) visits, all-cause readmissions, and ambulatory care-sensitive admissions). We decomposed these "total" disparities into within-PO and between-PO components using models with PO random effects. We then pair-matched 1853 of these POs that were affiliated with health systems to similar nonaffiliated POs. We examined differences in within-PO disparities by affiliation status by interacting each nonwhite race/ethnicity with an affiliation indicator. DATA COLLECTION/EXTRACTION METHODS: Medicare Data on Provider Practice and Specialty identified POs billing Medicare; PECOS and IRS Form 990 identified health system affiliations. Beneficiaries age 18 and older were attributed to POs using a plurality visit rule. PRINCIPAL FINDINGS: We observed total disparities in 12 of 36 comparisons between white and nonwhite beneficiaries; nonwhites received worse care in 10. Within-PO disparities exceeded between-PO disparities and were substantively important (>=5 percentage points or>=0.2 standardized differences) in nine of the 12 comparisons. Among these 12, nonaffiliated POs had smaller disparities than affiliated POs in two comparisons (P < .05): 1.6 percentage points smaller black-white disparities in follow-up after ED visits and 0.6 percentage points smaller Hispanic-white disparities in breast cancer screening. CONCLUSIONS: We find no evidence that system-affiliated POs have smaller racial and ethnic disparities than nonaffiliated POs. Where differences existed, disparities were slightly larger in affiliated POs.

A Decomposition Method to Assess the Contributions of Geographic and Nongeographic Factors to White-Black Disparities in Health Care.

BACKGROUND: Black-white gaps in high-quality hospital use are documented, but the relative contributions of various factors are unclear. The objective of this study was to quantify the contributions of differences in geographic and nongeographic factors to the gap, using decomposition methods and data for coronary heart disease. RESEARCH DESIGN: We identified white and black fee-for-service beneficiaries aged 65 or older who were hospitalized for acute myocardial infarction (AMI) or coronary artery bypass grafting (CABG) surgery during 2009-2011. We categorized hospitals with AMI mortality rates in the lowest quintile as high-quality hospitals. We first decomposed the white-black gap in high-quality hospital use into a component due to racial differences in region of residence and a within-region component. We then decomposed the within-region differences into contributions due to racial differences in geographic proximity to high-quality hospitals and due to nongeographic factors. RESULTS: The white-black gap in high-quality hospital use was smaller for AMI than for CABG (1.7 percentage points vs. 7.5 percentage points). For AMI, region of residence contributed more to the gap than within-region differences (1.0 percentage point vs. 0.6 percentage points), while for CABG, within-region differences prevailed (2.0 percentage points vs. 5.4 percentage points). For both conditions, the within-region white-black difference in high-quality hospital use was mainly driven by nongeographic factors. CONCLUSIONS: Decomposition methods are a useful tool in quantifying the contributions of various factors to the white-black gap in high-quality hospital use and could inform local policy aimed at reducing disparities in hospital quality.