Disparities In Readmissions Research Articles

Disparities in postdischarge follow-up and risk of readmission between Medicaid and privately insured patients.

Studies have identified higher risk of readmission for patients with Medicaid compared to those with private insurance. Postdischarge follow-up is utilized as an intervention to reduce readmissions in the Medicare population, but it is unclear whether follow-up reduces risk of readmission for patients with Medicaid. To assess whether follow-up within 30 days of discharge reduces risk of readmission and mitigates readmission disparities based upon insurance status. This retrospective cohort study used Cox proportional hazard and competing risk models to estimate associations between sociodemographic and clinical characteristics, follow-up, and readmission. We analyzed data from 4281 patients aged 21-64 years with Medicaid or private insurance who were hospitalized from January 2017 to December 2019 for one of five conditions associated with high risk of readmission. Outpatient follow-up within 30 days of discharge and 30-day all-cause readmission were outcomes. Overall risk of readmission was similar for Medicaid and privately insured patients in this cohort (13.7% and 14.5%, respectively). Patients with Medicaid were 23% points less likely to complete outpatient follow-up within 30 days compared to patients with private insurance (p < .001). However, outpatient follow-up before readmission within 30 days of discharge was not associated with a significant difference in readmission rate (hazard ratio: 1.10, 95% confidence interval: 0.91-1.32) in the overall sample or in analysis stratified by payer. We found similar rates of readmission for Medicaid and privately insured patients despite significant disparities in postdischarge follow-up. Timely follow-up care alone may not be sufficient as an intervention to reduce readmissions.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study

ObjectiveThe objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients...

Racial/Ethnic Disparities in Hospital Readmission and Frequent Hospitalizations Among Medicare Beneficiaries With Alzheimer's Disease and Related Dementia: Traditional Medicare Versus Medicare Advantage.

Examine racial/ethnic disparities in 30-day readmission and frequent hospitalizations among Medicare beneficiaries with dementia in traditional Medicare (TM) versus Medicare Advantage (MA). In this case-control study, we used 2018-2019 TM and MA claims data. Participants included individuals 65+ with 2 years of continuous enrollment, diagnosis of dementia, a minimum of 4 office visits in 2018, and at least 1 hospitalization in 2019, (cases: TM [n = 36,656]; controls: MA [n = 29,366]). We conducted matching based on health-need variables and applied generalized linear models adjusting for demographics, health-related variables, and healthcare encounters. TM was associated with higher odds of 30-day readmission (OR = 1.07 [CI: 1.02 to 1.12]) and frequent hospitalizations (OR = 1.10 [CI: 1.06 to 1.14]) compared to MA. Hispanic and Black enrollees in TM had higher odds of frequent hospitalizations compared with Hispanic and Black enrollees in MA, respectively (OR = 1.35 [CI: 1.19 to 1.54]) and (OR = 1.26 [CI: 1.13 to 1.40]). MA was associated with lower Hispanic-White and Black-White disparities in frequent hospitalizations by 5.8 (CI: -0.09 to -0.03) and 4.4 percentage points (PP; CI: -0.07 to -0.02), respectively. For 30-day readmission, there was no significant difference between Black enrollees in TM and MA (OR = 1.04 [CI: 0.92 to 1.18]), but Hispanic enrollees in TM had higher odds of readmission than Hispanics in MA (OR = 1.23 [CI: 1.06 to 1.43]). MA was associated with a lower Hispanic-White disparity in readmission by 1.9 PP (CI: -0.004 to -0.01). MA versus TM was associated with lower risks of 30-day readmission and frequent hospitalizations. Moreover, MA substantially reduced Hispanic-White and Black-White disparities in frequent hospitalizations compared with TM.

Post-discharge Mental Healthcare and Emergency General Surgery Readmission for Patients with Serious Mental Illness.

To determine the association between post-discharge mental healthcare and odds of readmission after emergency general surgery (EGS) hospitalization for patients with serious mental illness (SMI). A mental health visit (MHV) after medical hospitalization is associated with decreased readmissions for patients with SMI. The impact of a MHV after surgical hospitalization is unknown. Using Medicare claims, we performed a retrospective cohort study of hospitalized EGS patients with SMI aged >65.5 (2016-2018). EGS included colorectal, general abdominal, hepatopancreatobiliary, hernia, intestinal obstruction, resuscitation, and upper gastrointestinal conditions. SMI was defined as schizophrenia spectrum, mood, or anxiety disorders. The exposure was MHV within 30 days of discharge. The primary outcome was 30-day readmission. Secondary outcomes included emergency department presentation and psychiatric admission. Inverse probability weighting was used to evaluated outcomes. Of 88,092 analyzed patients, 11,755 (13.3%) had a MHV within 30 days of discharge. 23,696 (26.9%) of patients were managed operatively, 64,395 (73.1%) non-operatively. After adjustment for potential confounders, patients with a post-discharge MHV had lower odds of acute care readmission than patients without a MHV in both operative (OR 0.60; 95% CI: [0.40-0.90]) and non-operative (OR 0.67; 95% CI [0.53-0.84]) cohorts. There was no association between post-discharge MHV and ED presentation or psychiatric admission in the operative or non-operative groups. Post-discharge MHV after EGS hospitalization was associated with decreased odds of readmission for patients with SMI managed operatively and nonoperatively. In older EGS patients with SMI, coordination of MHVs may be a mechanism to reduce readmission disparities.

Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction.

Despite evidence supporting the benefits of marriage on cardiovascular health, the impact of marital/partner status on the long-term readmission of young acute myocardial infarction (AMI) survivors is less clear. We examined the association between marital/partner status and 1-year all-cause readmission and explored sex differences among young AMI survivors. Data were from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled young adults aged 18-55 years with AMI (2008-2012). The primary end point was all-cause readmission within 1 year of hospital discharge, obtained from medical records and patient interviews and adjudicated by a physician panel. We performed Cox proportional hazards models with sequential adjustment for demographic, socioeconomic, clinical, and psychosocial factors. Sex-marital/partner status interaction was also tested. Of the 2,979 adults with AMI (2002 women [67.2%]; mean age 48 [interquartile range, 44-52] years), unpartnered individuals were more likely to experience all-cause readmissions compared with married/partnered individuals within the first year after hospital discharge (34.6% versus 27.2%, hazard ratio [HR] = 1.31; 95% confidence interval [CI], 1.15-1.49). The association attenuated but remained significant after adjustment for demographic and socioeconomic factors (adjusted HR, 1.16; 95% CI, 1.01-1.34), and it was not significant after further adjusting for clinical factors and psychosocial factors (adjusted HR, 1.10; 95%CI, 0.94-1.28). A sex-marital/partner status interaction was not significant (p = 0.69). Sensitivity analysis using data with multiple imputation and restricting outcomes to cardiac readmission yielded comparable results. In a cohort of young adults aged 18-55 years, unpartnered status was associated with 1.3-fold increased risk of all-cause readmission within 1 year of AMI discharge. Further adjustment for demographic, socioeconomic, clinical, and psychosocial factors attenuated the association, suggesting that these factors may explain disparities in readmission between married/partnered versus unpartnered young adults. Whereas young women experienced more readmission compared to similar-aged men, the association between marital/partner status and 1-year readmission did not vary by sex.

Effect of the Nurse Work Environment on Older Hispanic Surgical Patient Readmissions.

Readmissions following hospitalization for common surgical procedures are prevalent among older adults and are disproportionally experienced by Hispanic patients. One potential explanation for these disparities is that Hispanic patients may receive care in hospitals with lower-quality nursing care. The objective of this study was to evaluate the relationship between the hospital-level work environment of nurses and hospital readmissions among older Hispanic patients. Using linked data sources from 2014 to 2016, we conducted a cross-sectional analysis of 522 hospitals and 732,035 general, orthopedic, and vascular surgical patients (80,978 Hispanic patients and 651,057 non-Hispanic White patients) in four states. Multivariable logistic regression models were employed to determine the relationship between the work environment and older Hispanic patient readmissions at multiple time periods (7, 30, and 90 days). In final adjusted models that included an interaction between work environment and ethnicity, an increase in the quality of the work environment resulted in a decrease in the odds of readmission that was greater for older Hispanic surgical patients at all time periods. Specifically, an increase in three of the five work environment subscales (Nurse Participation in Hospital Affairs, Nursing Foundations for Quality of Care, and Staffing and Resource Adequacy) was associated with a reduction in the odds of readmission that was greater for Hispanic patients than their non-Hispanic White counterparts. System-level investments in the work environment may reduce Hispanic patient readmission disparities. This study's findings may be used to inform the development of targeted interventions to prevent hospital readmissions for Hispanic patients.

Health care policy that relies on poor measurement is ineffective: Lessons from the hospital readmissions reduction program.

Health care policy that relies on poor measurement is ineffective: Lessons from the hospital readmissions reduction program.

Disparities in 30-day readmission rates among Medicare enrollees with dementia.

Readmissions contribute to excessive care costs and burden for people living with dementia. Assessments of racial disparities in readmissions among dementia populations are lacking, and the role of social and geographic risk factors such as individual-level exposure to greater neighborhood disadvantage is poorly understood. We examined the association between race and 30-day readmissions in a nationally representative sample of Black and non-Hispanic White individuals with dementia diagnoses. This retrospective cohort study used 100% Medicare fee-for-service claims from all 2014 hospitalizations nationwide among Medicare enrollees with dementia diagnosis linked to patient, stay, and hospital factors. The sample consisted of 1,523,142 hospital stays among 945,481 beneficiaries. The relationship between all cause 30-day readmissions and the explanatory variable of self-reported race (Black, non-Hispanic White) was examined via generalized estimating equations approach adjusting for patient, stay, and hospital-level characteristics to model 30-day readmission odds. Black Medicare beneficiaries had 37% higher readmission odds compared to White beneficiaries (unadjusted OR 1.37, CI 1.35-1.39). This heightened readmission risk persisted after adjusting for geographic factors (OR 1.33, CI 1.31-1.34), social factors (OR 1.25, CI 1.23-1.27), hospital characteristics (OR 1.24, CI 1.23-1.26), stay-level factors (OR 1.22, CI 1.21-1.24), demographics (OR 1.21, CI 1.19-1.23), and comorbidities (OR 1.16, CI 1.14-1.17), suggesting racially-patterned disparities in care account for a portion of observed differences. Associations varied by individual-level exposure to neighborhood disadvantage such that the protective effect of living in a less disadvantaged neighborhood was associated with reduced readmissions for White but not Black beneficiaries. Conversely, among White beneficiaries, exposure to the most disadvantaged neighborhoods associated with greater readmission rates compared to White beneficiaries residing in less disadvantaged contexts. There are significant racial and geographic disparities in 30-day readmission rates among Medicare beneficiaries with dementia diagnoses. Findings suggest distinct mechanisms underlying observed disparities differentially influence various subpopulations.

Follow-up Post-discharge and Readmission Disparities Among Medicare Fee-for-Service Beneficiaries, 2018.

BackgroundPrevious studies have identified disparities in readmissions among Medicare beneficiaries hospitalized for the Hospital Readmissions Reduction Program’s (HRRP’s) priority conditions. Evidence suggests timely follow-up is associated with reduced risk of readmission, but it is unknown whether timely follow-up reduces disparities in readmission.ObjectiveTo assess whether follow-up within 7 days after discharge from a hospitalization reduces risk of readmission and mitigates identified readmission disparities.DesignA retrospective cohort study using Cox proportional hazards models to estimate the associations between sociodemographic characteristics (race and ethnicity, dual-eligibility status, rurality, and area social deprivation), follow-up, and readmission. Mediation analysis was used to examine if disparities in readmission were mitigated by follow-up.ParticipantsWe analyzed data from 749,402 Medicare fee-for-service beneficiaries hospitalized for acute myocardial infarction, chronic obstructive pulmonary disease, heart failure, or pneumonia, and discharged home between January 1 and December 1, 2018.Main MeasureAll-cause unplanned readmission within 30 days after discharge.Key ResultsPost-discharge follow-up within 7 days of discharge was associated with a substantially lower risk of readmission (HR: 0.52, 95% CI: 0.52–0.53). Across all four HRRP conditions, beneficiaries with dual eligibility and beneficiaries living in areas with high social deprivation had a higher risk of readmission. Non-Hispanic Black beneficiaries had higher risk of readmission after hospitalization for pneumonia relative to non-Hispanic Whites. Mediation analysis suggested that 7-day follow-up mediated 21.2% of the disparity in the risk of readmission between dually and non-dually eligible beneficiaries and 50.7% of the disparity in the risk of readmission between beneficiaries living in areas with the highest and lowest social deprivation. Analysis suggested that after hospitalization for pneumonia, 7-day follow-up mediated nearly all (97.5%) of the increased risk of readmission between non-Hispanic Black and non-Hispanic White beneficiaries.ConclusionsImproving rates of follow-up could be a strategy to reduce readmissions for all beneficiaries and reduce disparities in readmission based on sociodemographic characteristics.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-022-07488-3.

Geographic Disparities in Readmissions for Peripheral Artery Disease in South Carolina.

Readmissions constitute a major health care burden among peripheral artery disease (PAD) patients. This study aimed to 1) estimate the zip code tabulation area (ZCTA)-level prevalence of readmission among PAD patients and characterize the effect of covariates on readmissions; and (2) identify hotspots of PAD based on estimated prevalence of readmission. Thirty-day readmissions among PAD patients were identified from the South Carolina Revenue and Fiscal Affairs Office All Payers Database (2010–2018). Bayesian spatial hierarchical modeling was conducted to identify areas of high risk, while controlling for confounders. We mapped the estimated readmission rates and identified hotspots using local Getis Ord (G*) statistics. Of the 232,731 individuals admitted to a hospital or outpatient surgery facility with PAD diagnosis, 30,366 (13.1%) experienced an unplanned readmission to a hospital within 30 days. Fitted readmission rates ranged from 35.3 per 1000 patients to 370.7 per 1000 patients and the risk of having a readmission was significantly associated with the percentage of patients who are 65 and older (0.992, 95%CI: 0.985–0.999), have Medicare insurance (1.013, 1.005–1.020), and have hypertension (1.014, 1.005–1.023). Geographic analysis found significant variation in readmission rates across the state and identified priority areas for targeted interventions to reduce readmissions.

Racial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing.

Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels. The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels. We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients. Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black patients, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30- and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (less than three patients per nurse), Black and White stroke patients' disparities were no longer significant. Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.

1010 Reduction of racial disparities in readmission associated with a standardized postpartum hypertension management protocol

Implementation of a standardized protocol has been demonstrated to improve racial disparities in many areas of obstetrics. This study sought to evaluate whether a protocol for management of postpartum hypertension improved racial disparities in readmission for hypertension. This is a retrospective pre-post study comparing racial disparities in readmission for hypertension before and after a standardized postpartum hypertension management protocol. Deliveries and hypertension readmissions were identified from a contemporaneously maintained obstetric database. Cases between January 1, 2019 and June 30, 2019 (PRE) were compared with those between January 1, 2020 and June 30, 2020 (POST). The primary outcome was rate of readmission for hypertension, which was compared by race. Additional characteristics were compared with univariable analyses. 60 women were identified as having been readmitted for hypertension (35 pre- and 25 post-protocol). There were a total of 5,763 deliveries (2881 pre- and 2882 post-) for a readmission rate of 1.21% pre- and 0.87% post-protocol (p = 0.19). The rate of readmission for white women rose non-significantly from 0.76% (PRE) to 0.85% (POST, p = 0.77), while for Black women it fell significantly from 2.86% (PRE) to 1.08% (POST, p = 0.0097). Post-protocol readmission rates mirrored the racial distribution of deliveries during the same era more closely than the pre-protocol rates. The distribution of pre-existing hypertensive diagnoses changed after protocol implementation (p=0.043); readmission with chronic hypertension fell (11.4% PRE, 0% POST), while readmission of women without known hypertension rose (62.9% PRE, 72% POST). We found that a standardized postpartum hypertension management protocol was associated with a decreased hypertension readmission rate for Black women. The similarity of the racial distribution of readmissions to the racial distribution of deliveries increased. Further research is needed to address the systemic racism underlying racial disparities and assess the applicability of this protocol to other hospital systems.View Large Image Figure ViewerDownload Hi-res image Download (PPT)

Racial and ethnic disparities in outcomes through 1 year of life in infants born prematurely: a population based study in California.

To investigate racial/ethnic differences in rehospitalization and mortality rates among premature infants over the first year of life. A retrospective cohort study of infants born in California from 2011 to 2017 (n = 3,448,707) abstracted from a California Office of Statewide Health Planning and Development database. Unadjusted Kaplan-Meier tables and logistic regression controlling for health and sociodemographic characteristics were used to predict outcomes by race/ethnicity. Compared to White infants, Hispanic and Black early preterm infants were more likely to be readmitted; Black late/moderate preterm (LMPT) infants were more likely to be readmitted and to die after discharge; Hispanic and Black early preterm infants with BPD were more likely to be readmitted; Black LMPT infants with RDS were more likely to be readmitted and die after discharge. Racial/ethnic disparities in readmission and mortality rates exist for premature infants across several co-morbidities. Future studies are needed to improve equitability of outcomes.

Association of Mandatory Bundled Payments for Joint Replacement With Postacute Care Outcomes Among Medicare and Medicaid Dual Eligible Patients.

The Medicare comprehensive care for joint replacement (CJR) model, a mandatory bundled payment program started in April 2016 for hospitals in randomly selected metropolitan statistical areas (MSAs), may help reduce postacute care (PAC) use and episode costs, but its impact on disparities between Medicaid and non-Medicaid beneficiaries is unknown. To determine effects of the CJR program on differences (or disparities) in PAC use and outcomes by Medicare-Medicaid dual eligibility status. Observational cohort study of 2013-2017, based on difference-in-differences (DID) analyses on Medicare data for 1,239,452 Medicare-only patients, 57,452 dual eligibles with full Medicaid benefits, and 50,189 dual eligibles with partial Medicaid benefits who underwent hip or knee surgery in hospitals of 75 CJR MSAs and 121 control MSAs. Risk-adjusted differences in rates of institutional PAC [skilled nursing facility (SNF), inpatient rehabilitation, or long-term hospital care] use and readmissions; and for the subgroup of patients discharged to SNF, risk-adjusted differences in SNF length of stay, payments, and quality measured by star ratings, rate of successful discharge to community, and rate of transition to long-stay nursing home resident. The CJR program was associated with reduced institutional PAC use and readmissions for patients in all 3 groups. For example, it was associated with reductions in 90-day readmission rate by 1.8 percentage point [DID estimate=-1.8; 95% confidence interval (CI), -2.6 to -0.9; P<0.001] for Medicare-only patients, by 1.6 percentage points (DID estimate=-1.6; 95% CI, -3.1 to -0.1; P=0.04) for full-benefit dual eligibles, and by 2.0 percentage points (DID estimate=-2.0; 95% CI, -3.6 to -0.4; P=0.01) for partial-benefit dual eligibles. These CJR-associated effects did not differ between dual eligibles (differences in above DID estimates=0.2; 95% CI, -1.4 to 1.7; P=0.81 for full-benefit patients; and -0.3; 95% CI, -1.9 to 1.3; P=0.74 for partial-benefit patients) and Medicare-only patients. Among patients discharged to SNF, the CJR program showed no effect on successful community discharge, transition to long-term care, or their persistent disparities. The CJR program did not help reduce persistent disparities in readmissions or SNF-specific outcomes related to Medicare-Medicaid dual eligibility, likely due to its lack of financial incentives for reduced disparities and improved SNF outcomes.

Illuminating Hospital Disparities in Readmissions for Patients with Social Risk Factors: Comparing Hospital Performance Using Two Different Approaches

Research ObjectiveSocioeconomic disparities in hospital readmissions for Medicare patients are well established. Medicare currently provides hospitals with within‐hospital disparities in readmission using dual eligibility status as a social risk factor. Community‐based social risk factors, such as the AHRQ SES Index (ASI), may allow capture of different types of information regarding social risk, as compared to income and assets, which are principally used for establishing dual eligibility. This study examines concordance of within‐hospital disparities in 30‐day readmission rates for Medicare patients that arise from dual eligibility status and ASI, and how this concordance varies across patients admitted for three common clinical conditions (AMI, HF, and pneumonia).Study DesignWe conducted a retrospective cohort study of hospitalized Medicare fee‐for‐service (FFS) patients meeting the inclusion criteria for the 30‐day AMI, HF, and PN hospital readmission measures used by Medicare. We used Medicare Part A and B Standard Analytic Files and Enrollment Files to identify the study cohort, clinical risk factors for adjustment, and enrollment information. We calculated the within‐hospital disparity score, for each hospital, using dual eligibility (defined as full‐benefit Medicaid enrollment at time of discharge) and the ASI score for beneficiary 9‐digit ZIP code of residence. Using the method currently used by CMS for estimating within‐hospital disparities, we calculated the hospital‐specific disparity effect for each hospital and each social risk factor for each of the three conditions. Disparity effects are reported as hospital‐specific odds ratios (ORs) and absolute risk differences; we calculated the Spearman rank‐order correlations between the two disparity effects for each condition.Population StudiedHospitalized U.S. Medicare FFS patients aged 65 years and older admitted to U.S. acute care, critical access, and Veterans Affairs hospitals from July 1, 2015, to June 30, 2018.Principal FindingsThe final sample included 3,126,185 Medicare FFS admissions to 4,730 U.S. hospitals. Both dual eligibility (mean ORs for three conditions ranging from 1.04 to 1.08) and AHRQ SES Index (mean ORs ranging 1.03‐1.05) were associated with higher adjusted odds of 30‐day readmission. However, hospital‐specific disparity effects for the two risk factors were uncorrelated for AMI (Spearman’s correlation □ = ‐0.017, P = .28), weakly correlated for HF (□ = 0.10, P &lt; .001), and moderately correlated for PN (□ = 0.49, P &lt; .001). Results were similar for absolute risk differences.ConclusionsDisparities in 30‐day readmission rates for hospitalized Medicare patients may differ across different dimensions of social risk, depending on the reason for admission. Within‐hospital disparities related to different social risks may capture distinct effects, according to patient condition.Implications for Policy or PracticeEfforts to illuminate socioeconomic disparities in hospital outcomes will benefit from examination of different social risk factors; a single social risk factor may not fully capture the impact of disparities in outcomes.Primary Funding SourceThe study was funded by the Centers for Medicare and Medicaid Services.

Temporal Trends in Racial Differences in 30-Day Readmission and Mortality Rates After Acute Myocardial Infarction Among Medicare Beneficiaries

The association of the Hospital Readmission Reduction Program (HRRP) with reductions in racial disparities in 30-day outcomes for myocardial infarction (MI), is unknown, including whether this varies by HRRP hospital penalty status. To assess temporal trends in 30-day readmission and mortality rates among black and nonblack patients discharged after hospitalization for acute MI at low-performing and high-performing hospitals, as defined by readmission penalty status after HRRP implementation. This observational cohort analysis used data from the multicenter National Cardiovascular Data Registry Chest Pain-MI Registry centers that were subject to the first cycle of HRRP, between January 1, 2008, and November 30, 2016. All patients hospitalized with MI who were included in National Cardiovascular Data Registry Chest Pain-MI Registry were included in the analysis. Data were analyzed from April 2018 to September 2019. Hospital performance category and race (black compared with nonblack patients). Centers were classified as high performing or low performing based on the excess readmission ratio (predicted to expected 30-day risk adjusted readmission rate) for MI during the first HRRP cycle (in October 2012). Thirty-day all-cause readmission and mortality rates. Among 753 hospitals that treated 155 397 patients with acute MI (of whom 11 280 [7.3%] were black), 399 hospitals (53.0%) were high performing. Thirty-day readmission rates declined over time in both black and nonblack patients (annualized 30-day readmission rate: 17.9% vs 20.8%). Black (compared with nonblack) race was associated with higher unadjusted odds of 30-day readmission in both low-performing and high-performing centers (odds ratios: before HRRP: low-performing hospitals, 1.14 [95% CI, 1.03-1.26]; P = .01; high-performing hospitals, 1.17 [95% CI, 1.04-1.32]; P = .01; after HRRP: low-performing hospitals, 1.23 [95% CI, 1.13-1.34]; P < .001; high-performing hospitals, 1.25 [95% CI, 1.12-1.39]; P < .001). However, these racial differences were not significant after adjustment for patient characteristics. The 30-day mortality rates declined significantly over time in nonblack patients, with stable (nonsignificant) temporal trends among black patients. Adjusted associations between race and 30-day mortality showed that 30-day mortality rates were significantly lower among black (compared with nonblack) patients in the low-performing hospitals (odds ratios: pre-HRRP, 0.79 [95% CI, 0.63-0.97]; P = .03; post-HRRP, 0.80 [95% CI, 0.68-0.95]; P = .01) but not in high-performing hospitals. Finally, the association between race and 30-day outcomes did not vary after the HRRP period began in either high-performing or low-performing hospitals. In this analysis, 30-day readmission rates among patients with MI declined over time for both black and nonblack patients. Differences in race-specific 30-day readmission rates persisted but appeared to be attributable to patient-level factors. The 30-day mortality rates have declined for nonblack patients and remained stable among black patients. Implementation of the HRRP was not associated with improvement or worsening of racial disparities in readmission and mortality rates.

Association of Surgical and Hospital Volume and Patient Characteristics With 30-Day Readmission Rates

Thirty-day readmission rates have been suggested as a marker for quality of care. By investigating the factors associated with readmissions in all otolaryngology subspecialties we provide data relevant for the development of risk stratification systems to improve outcomes. To establish the association of surgical and hospital volume and patient characteristics with 30-day readmission rates to guide the development of otolaryngology-specific risk stratification models. A retrospective cohort study including adult patients who underwent inpatient otolaryngology surgery in New York State between 1995 and 2015 was conducted using the Statewide Planning and Research Cooperative System (SPARCS). Regression techniques were used to describe relationships of patient-level factors, hospital, and surgeon volume to 30-day readmission rates in New York State. The main outcome measures were patient-, surgeon-, and hospital-level risk factors for readmission. Secondary outcome measures were rate of readmissions by subspecialty procedure and by diagnosis on readmission. We identified 254 257 cases of otolaryngology surgery (147 065 women [58%], mean [SD] age 50 [17] years). The 30-day readmission rate was 6%. In a multivariable model, odds ratios (ORs) identified Medicaid insurance (OR, 1.46; 99% CI, 1.36-1.57), Medicare insurance (OR, 1.32; 99% CI, 1.24-1.42), bottom quartile income (OR, 1.08; 99% CI, 1.01-1.15), patient comorbidities measured by the Charlson Comorbidity Index (CCI) (CCI >1; OR, 2.31; 99% CI, 2.16-2.47), length of stay (LOS) (LOS >10 days; OR, 2.29; 99% CI, 2.00-2.45), rhinology (OR, 1.37; 99% CI, 1.24-1.51), laryngology (OR, 1.98; 99% CI, 1.62-2.43), and head and neck cancer (OR, 1.27; 99% CI, 1.17-1.37) procedures as readmission predictors. High-volume surgeons were protective of 30-day readmission (OR, 0.67; 99% CI, 0.635-0.708) relative to low volume. Hospital volume was not significantly associated to readmissions. The most common causes of readmission included wound- (2682 patients, 18%), respiratory- (1776 patients, 12%), cardiovascular- (1210 patients, 8%), and volume- (1089 patients, 7%) related disorders. This study evaluated the combined effects of patient-, surgeon-, and hospital-level factors on 30-day readmission after otolaryngology surgery. Socioeconomic factors, patient comorbidities, surgeon volumes, and procedure were significantly associated with 30-day readmission. Though the cause of 30-day readmission is multifactorial, a large portion is driven by socioeconomic factors. Addressing these disparities at the system level is necessary to address the described readmission disparities. The development of risk-stratification models based on patient-, procedure-, and surgeon-level factors may help facilitate resource distribution.

Capsule Commentary on Kaplan et al., How Have 30-Day Readmission Penalties Affected Racial Disparities in Readmissions?: An Analysis from 2007-2014 in Five US States.

Capsule Commentary on Kaplan et al., How Have 30-Day Readmission Penalties Affected Racial Disparities in Readmissions?: An Analysis from 2007-2014 in Five US States.

How Have 30-Day Readmission Penalties Affected Racial Disparities in Readmissions?: an Analysis from 2007 to 2014 in Five US States.

Thirty-day readmission penalties implemented with the Hospital Readmission Reduction Program (HRRP) place a larger burden on safety-net hospitals which treat a disproportionate share of racial minorities, leading to concerns that already large racial disparities in readmissions could widen. To examine whether there were changes in Black-White disparities in 30-day readmissions for acute myocardial infarction (AMI), congestive heart failure (CHF), or pneumonia following the passage and implementation of HRRP, and to compare disparities across safety-net and non-safety-net hospitals. Repeated cross-sectional analysis, stratified by safety-net status. 1,745,686 Medicare patients over 65 discharged alive from hospitals in 5 US states: NY, FL, NE, WA, and AR. Odds ratios comparing 30-day readmission rates following an index admission for AMI, CHF, or pneumonia for Black and White patients between 2007 and 2014. Prior to the passage of HRRP in 2010, Black and White readmission rates and disparities in readmissions were decreasing. These reductions were largest at safety-net hospitals. In 2007, Blacks had 13% higher odds of readmission if treated in safety-net hospitals, compared with 5% higher odds in 2010 (P < 0.05). These trends continued following the passage of HRRP. Prior to HRRP, there were large reductions in Black-White disparities in readmissions at safety-net hospitals. Although HRRP tends to assess higher penalties for safety-net hospitals, improvements in readmissions have not reversed following the implementation of HRRP. In contrast, disparities continue to persist at non-safety-net hospitals which face much lower penalties.

Understanding Disparities in Surgical Outcomes for Medicaid Beneficiaries.

Few studies have evaluated whether outcome disparities between Medicaid and private insurance beneficiaries are driven by the hospital at which the patient receives care. The purpose of this study was to evaluate the effect of the hospital on surgical outcomes in Medicaid beneficiaries. We identified 139,566 non-elderly Medicaid and private insurance beneficiaries undergoing general, vascular, or gynecological surgery between 2012 and 2017 using a statewide clinical registry in Michigan. We calculated risk-adjusted rates of complications, readmissions, emergency department (ED) visits, and post-acute care utilization using multivariable logistic regression, accounting for patient and procedural factors. We then evaluated whether, and to what extent, the hospital influenced outcome disparities between Medicaid and privately insured beneficiaries. Risk-adjusted rates for all outcomes were higher in Medicaid beneficiaries. For example, overall post-discharge ED visit rates were 14.3% (95% CI 13.7% to 14.9%) for Medicaid compared to 7.5% (95% CI 7.1% to 7.9%, P < 0.01) for private insurance beneficiaries. Hospital factors explained 3.9% of the observed difference in complication rates between Medicaid and private insurance beneficiaries. In contrast, hospital factors explained a greater proportion of the disparities in readmissions (30.6%), ED visits (33.0%), and post-acute care utilization (16.1%). Results were similar when restricting the study population to elective cases only. Hospital factors account for a significant proportion of the disparities in post-discharge resource utilization between Medicaid and private insurance beneficiaries. Policies aiming to improve the quality and equity of surgical care for Medicaid beneficiaries should focus on the post-discharge period.