Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits

Rural Disparities in Lung Cancer-directed Surgery: A Medicare Cohort Study

OBJECTIVE

The primary objective of this study was to determine the influence of rural residence on access to and outcomes of lung cancer-directed surgery for Medicare beneficiaries.

SUMMARY OF BACKGROUND DATA

Lung cancer is the leading cause of cancerrelated death in the United States and rural patients have 20% higher mortality. Drivers of rural disparities along the continuum of lung cancercare delivery are poorly understood.

METHODS

Medicare claims (2015-2018) were used to identify 126,352 older adults with an incident diagnosis of nonmetastatic lung cancer. Rural Urban Commuting Area codes were used to define metropolitan, micropolitan, small town, and rural site of residence. Multivariable logistic regression models evaluated influence of place of residence on 1) receipt of cancer-directed surgery, 2) time from diagnosis to surgery, and 3) postoperative outcomes.

RESULTS

Metropolitan beneficiaries had higher rate of cancer-directed surgery (22.1%) than micropolitan (18.7%), small town (17.5%), and isolated rural (17.8%) (P < 0.001). Compared to patients from metropolitan areas, there were longer times from diagnosis to surgery for patients living in micropolitan, small, and rural communities. Multivariable models found nonmetropolitan residence to be associated with lower odds of receiving cancer-directed surgery and MIS. Nonmetropolitan residence was associated with higher odds of having postoperative emergency department visits.

CONCLUSIONS

Residence in nonmetropolitan areas is associated with lower probability of cancer-directed surgery, increased time to surgery, decreased use of MIS, and increased postoperative ED visits. Attention to timely access to surgery and coordination of postoperative care for nonmetropolitan patients could improve care delivery.

Racial and ethnic disparities in Medicare Part D medication therapy management services utilization

Background

The Medicare Part D medication therapy management (MTM) program has positive effects on medication and health service utilization. However, little is known about its utilization, much less so about the use among racial and ethnic minorities.

Objective

To examine MTM service utilization among older Medicare beneficiaries and to identify any racial and ethnic disparity patterns.

Methods

A retrospective cross-sectional analysis of 2017 Medicare administrative data, linked to the Area Health Resources Files. Fourteen outcomes related to MTM service nature, initiation, quantity, and delivery were examined using logistic, negative binomial, and Cox proportional hazards regression models.

Results

Racial and ethnic disparities were found with varying patterns across outcomes. For example, compared with White patients, the odds of opting out of MTM were 8% higher for Black patients (odds ratio [OR] = 1.08, 95% confidence interval [CI] = 1.03-1.14), 57% higher for Hispanic patients (OR = 1.57, 95% CI = 1.42-1.72), and 57% higher for Asian patients (OR = 1.57, 95% CI = 1.33-1.85). The odds of continuing MTM from the previous years were 12% lower for Black patients (OR = 0.88, 95% CI = 0.86-0.90) and 3% lower for other patients (OR = 0.97, 95% CI = 0.95-0.99). In addition, the probability of being offered a comprehensive medication review (CMR) after MTM enrollment was 9% lower for Hispanic patients (hazard ratio [HR] = 0.91, 95% CI = 0.85-0.97), 9% lower for Asian patients (HR = 0.91, 95% CI = 0.87-0.94), and 3% lower for other patients (HR = 0.97, 95% CI = 0.95-0.99). Hispanic and Asian patients were more likely to have someone other than themselves receive a CMR.

Conclusions

Racial and ethnic disparities in MTM service utilization were identified. Although the disparities in specific utilization outcomes vary across racial/ethnic groups, it is evident that these disparities exist and may result in vulnerable communities not fully benefiting from the MTM services. Causes of the disparities should be explored to inform future reform of the Medicare Part D MTM program.

Effects of Part D Star Ratings on racial and ethnic disparities in health care costs

Background

Racial/ethnic minorities are less likely than non-Hispanic White (White) patients to be included in the Medicare Part D Star Ratings measure assessment due to the restrictive inclusion criteria for the measures.

Objective

This paper examined the effects of racial/ethnic disparities in the measure assessment in Part D Star Ratings on disparities in healthcare costs among patients with Alzheimer's disease and related dementias (ADRD).

Methods

This cross-sectional study analyzed 2017 Medicare data. Proportions of Beneficiaries with ADRD were categorized into the included and excluded groups based on the inclusion criteria for the calculation of medication adherence measures in Star Ratings. Outcomes included costs for medications, physician visits, emergency room (ER) visits, and total costs. A generalized linear model was employed to compare costs across racial/ethnic groups. To explore the differential disparities in healthcare costs between the 2 groups, interaction terms between dummy variables for being excluded from the measure calculation and racial/ethnic minorities were included in the models.

Results

The patterns of racial/ethnic disparities in healthcare costs found in this study were generally consistent with expectations, with some exceptions. For example, compared with White patients, in the hyperlipidemia cohort, the physician visit cost for Black patients among the included group was 31% lower (cost ratio or CR = 0.69, 95% CI = 0.67-0.72); in the hypertension cohort, the hospitalization cost for Blacks among the excluded group was 15% higher (CR = 1.15, 95% CI = 1.12-1.19). More importantly, exclusion from measurement assessments was associated with differential cost disparities. For example, compared with individuals included in the measure assessment for hypertension, the Black-White disparities in costs for hospitalization and total healthcare were 30% higher (CR = 1.30, 95% CI = 1.26-1.34), and 10% higher (CR = 1.10; 95% CI = 1.08-1.12), respectively, among the excluded group.

Conclusions

Medicare Part D Star Ratings may be associated with aggravated racial/ethnic disparities in healthcare costs in the Medicare Part D population.

Age-Stratified 30-day Rehospitalization and Mortality and Predictors of Rehospitalization Among Patients With Systemic Lupus Erythematosus: A Medicare Cohort Study

OBJECTIVE

Recent studies suggest young adults with systemic lupus erythematosus (SLE) have high 30-day readmission rates, which may necessitate tailored readmission reduction strategies. To aid in risk stratification for future strategies, we measured 30-day rehospitalization and mortality rates among Medicare beneficiaries with SLE and determined rehospitalization predictors by age.

METHODS

In a 2014 20% national Medicare sample of hospitalizations, rehospitalization risk and mortality within 30 days of discharge were calculated for young (aged 18-35 yrs), middle-aged (aged 36-64 yrs), and older (aged 65+ yrs) beneficiaries with and without SLE. Multivariable generalized estimating equation models were used to predict rehospitalization rates among patients with SLE by age group using patient, hospital, and geographic factors.

RESULTS

Among 1.39 million Medicare hospitalizations, 10,868 involved beneficiaries with SLE. Hospitalized young adult beneficiaries with SLE were more racially diverse, were living in more disadvantaged areas, and had more comorbidities than older beneficiaries with SLE and those without SLE. Thirty-day rehospitalization was 36% among young adult beneficiaries with SLE-40% higher than peers without SLE and 85% higher than older beneficiaries with SLE. Longer length of stay and higher comorbidity risk score increased odds of rehospitalization in all age groups, whereas specific comorbid condition predictors and their effect varied. Our models, which incorporated neighborhood-level socioeconomic disadvantage, had moderate-to-good predictive value (C statistics 0.67-0.77), outperforming administrative data models lacking comprehensive social determinants in other conditions.

CONCLUSION

Young adults with SLE on Medicare had very high 30-day rehospitalization at 36%. Considering socioeconomic disadvantage and comorbidities provided good prediction of rehospitalization risk, particularly in young adults. Young beneficiaries with SLE with comorbidities should be a focus of programs aimed at reducing rehospitalizations.

The COVID-19 pandemic's impact on all-cause mortality disparities in Medicare: By race, income, chronic health, mental/behavioral health, disability

BACKGROUND

The Medicare-enrolled population is heterogeneous across race, ethnicity, age, dual eligibility, and a breadth of chronic health, mental and behavioral health, and disability-related conditions, which may be differentially impacted by the COVID-19 pandemic.

OBJECTIVE

To quantify changes in all-cause mortality prior-to and in the first year of the COVID-19 pandemic across Medicare's different sociodemographic and health-condition subpopulations.

METHODS

This observational, population-based study used stratified bivariate regression to investigate Medicare fee-for-service subpopulation differences in pre-pandemic (i.e., 2019 versus 2016) and pandemic-related (2020 versus 2019) changes in all-cause mortality.

RESULTS

All-cause mortality in the combined Medicare-Advantage (i.e., managed care) and fee-for-service beneficiary population improved by a relative 1% in the ten years that preceded the COVID-19 pandemic, but then escalated by a relative 15.9% in 2020, the pandemic's first year. However, a closer look at Medicare's fee-for-service subpopulations reveals critical differences. All-cause mortality had actually been worsening prior to the pandemic among most psychiatric and disability-related condition groups, all race and ethnicity groups except White Non-Hispanic, and Medicare-Medicaid dual-eligible (i.e., low-income) beneficiaries. Many of these groups then experienced all-cause mortality spikes in 2020 that were over twice that of the overall Medicare fee-for-service population. Of all 61 chronic health conditions studied, beneficiaries with schizophrenia were the most adversely affected, with all-cause mortality increasing 38.4% between 2019 and 2020.

CONCLUSION

This analysis reveals subpopulation differences in all-cause mortality trends, both prior to and in year-one of the COVID-19 pandemic, indicating that the events of 2020 exacerbated preexisting health-related inequities.

Trends in the Use of Oral Anticoagulants for Adults With Venous Thromboembolism in the US, 2010-2020

Importance

The introduction of direct oral anticoagulants (DOACs) has transformed the treatment of venous thromboembolism (VTE). Large health care databases offer valuable insight into how oral anticoagulants (OACs) are used in clinical practice and may aid in understanding reasons for changes in therapy.

Objectives

To evaluate prescribing patterns of OACs for patients with VTE and identify clinical events that precede treatment changes.

Design, Setting, and Participants

This retrospective cohort study used data from a public (Medicare fee-for-service) and a commercial (IBM MarketScan) health insurance database on 298 609 patients initiating OACs within 90 days of index VTE hospitalization from January 1, 2009, to December 31, 2020. Statistical analysis was conducted from April to August 2022.

Exposures

Warfarin and the DOACs rivaroxaban, apixaban, dabigatran, and edoxaban.

Main Outcomes and Measures

Characteristics of patients initiating different OACs, along with trends over time of patients initiating OACs, were compared. Time receiving continuous anticoagulant therapy, patterns of anticoagulant discontinuation (treatment gap of ≥30 days), and treatment switches were assessed. Clinical events in the 30 days preceding treatment modifications were identified.

Results

A total of 203 378 individuals with Medicare (mean [SD] age, 76.9 [7.6] years; 122 554 women [60.3%]) and 95 231 with commercial insurance (mean [SD] age, 57.6 [15.8] years; 47 139 women [49.5%]) were included (N = 298 609). Warfarin was the most frequent OAC prescribed (163 044 [54.6%]), followed by rivaroxaban (66 882 [22.3%]) and apixaban (65 997 [22.1%]). The proportion of patients initiating DOACs increased from 0% in 2010 to 86.8% (22 420 of 25 817) in 2019 for patients with Medicare and 92.1% (4012 of 4357) in 2020 for commercially insured patients. Patients with chronic kidney disease were more likely to initiate warfarin (35 561 [11.9%]) or apixaban (16 294 [5.5%]) than rivaroxaban (10 136 [3.4%]), and those with a history of bleeding were more likely to initiate apixaban (5424 [1.8%]) than rivaroxaban (3007 [1.0%]). Overall, patients received persistent OAC treatment for approximately 6 months (Medicare: median, 175 days [IQR, 76-327 days]; commercial insurance: median, 168 days [IQR, 83-279 days]). A total of 33 011 patients (11.1%) switched anticoagulant therapy within a year. Switching to another anticoagulant was preceded most frequently by codes for a VTE diagnostic procedure (27.2% of all switchers [8983 of 33 011]).

Conclusions and Relevance

This cohort study using data from 2 US health insurance databases suggests that most patients with VTE continued oral anticoagulant treatment for approximately 6 months. Clinical reasons for modifying anticoagulant therapy were identified in one-third of patients. Identifying reasons for treatment modification is crucial for generating valid evidence on drug safety and effectiveness.

Prevalence of and Spending on Ear, Nose, Throat, and Respiratory Infections Among Children With Chronic Complex Conditions

OBJECTIVE

Ear, nose, throat, and respiratory infections (ENTRI) may affect children with complex chronic conditions (CCC) differently than their peers. We compared ENTRI prevalence and spending in children with and without CCCs.

METHODS

Retrospective analysis of 3,880,456 children ages 0-to-18 years enrolled in 9 US state Medicaid programs in 2018 contained in the IBM Watson Marketscan Database. Type and number of CCCs were distinguished with Feudtner's system. ENTRI prevalence, defined as ≥1 healthcare encounters for ENTRI, and Medicaid spending on ENTRI were compared by CCC using chi-square tests and logistic regression.

RESULTS

ENTRIs were greater in children with vs. without a CCC (57.7% vs 43.5% [P < .001]). Children with a CCC (5.5%, n = 213,425) accounted for nearly one-fourth ($145.8 million [US]) of total spending on ENTRI. Aside from throat and sinus infection, ENTRI prevalence increased with number of CCCs (P < .001). For example, as number of CCCs increased from zero to ≥3, lower-airway infection increased from 12.5% to 37.5%, P < .001 (OR 4.10; 95% CI 3.95-4.26). ENTRI spending attributable to inpatient care increased from 9.7% to 92.8% (P < .001) as the number of CCCs increased from zero to ≥3.

CONCLUSION

Most children with a CCC pursued care for ENTRI in 2018 and these children accounted for a disproportionate share of ENTRI spending. Children with multiple CCCs had a high prevalence of lower-airway infection; most of their ENTRI spending was for inpatient care. Providers can use these findings to counsel patients and families and to inform future investigations on how best to manage ENTRI in children with CCCs.

Disparities in access to specialty care and emergency department use after hospital discharge to a skilled nursing facility

BACKGROUND

Patterns in access to specialists among patients in skilled nursing facilities (SNFs) have not been previously described.

OBJECTIVE

To measure access to outpatient specialty follow-up and subsequent emergency department (ED) visits by patient characteristics, including race/ethnicity and those who received specialty care during the hospitalization that preceded the SNF stay.

DESIGN, SETTINGS, AND PARTICIPANTS

This retrospective cohort study used the minimum data set and 100% Medicare fee-for-service claims for beneficiaries admitted to an SNF between 2012 and 2014. Hospital stays for surgical procedures were excluded.

MAIN OUTCOME AND MEASURES

The associations between ED visits, follow-up, and race/ethnicity were measured using logistic and linear regression, adjusting for patient demographic and clinical characteristics.

RESULTS

The sample included 1,117,632 hospitalizations by Medicare beneficiaries ≥65 with a consult by a medical subspecialist followed by discharge to SNF. Of the sample, 85.4% were non-Hispanic White (NHW) and 14.6% were Black, indigenous, and people of color (BIPOC), according to Medicare beneficiary records. During the SNF stay, BIPOC patients had lower odds of specialty follow-up compared to NHW patients (odds ratio [OR]: 0.96, 95% confidence intervals [CI]: 0.94-0.99, p = .004). BIPOC patients had higher rates of ED visits compared to NHW patients (with follow-up: 24.1% vs. 23.4%, and without follow-up: 27.4% vs. 25.9%, p < .001). Lack of follow-up was associated with a 0.8 percentage point difference in ED visits between BIPOC and NHW patients (95% CI: 0.3-1.3, p = .003).

CONCLUSIONS

There is a racial/ethnic disparity in subspecialty follow-up after hospital discharge to SNF that is associated with a higher rate of subsequent ED visits by BIPOC patients.

Mortality rate and age of death among Medicare-enrolled autistic older adults

Background

An emerging body of evidence suggests that autistic people are at greater risk for mortality than non-autistic people. Yet, relatively little is known about mortality rates among autistic people during older adulthood (i.e., age 65 or older).

Methods

We examined 5-year mortality among a national US sample of Medicare-enrolled autistic (n=3,308) and non-autistic (n=33,080) adults aged 65 or older.

Results

Autistic older adults had 2.87 times greater rate of mortality (95% CI=2.61-3.07) than non-autistic older adults. Among decedents (39.6% of autistic and 15.1% of non-autistic older adults), the median age of death was 72 years (IQR=69-78) for autistic and 75 years (IQR=70-83) for non-autistic older adults. Among autistic older adults, those with intellectual disability had 1.57 times greater rate of mortality (95% CI=1.41-1.76) than those without, and males had 1.27 times greater rate of mortality (95% CI=1.12-1.43) than females.

Conclusions

Many trends regarding mortality observed in younger samples of autistic people were also observed in our study. However, we found only a three-year difference in median age at death between autistic and non-autistic decedents, which is a much smaller disparity than reported in some other studies. This potentially suggests that when autistic people live to the age of 65, they may live to a more similar age as non-autistic peers.

Post-acute care transitions and outcomes among Medicare beneficiaries with dementia: Associations with race/ethnicity and dual status

OBJECTIVE

To evaluate how post-acute care (PAC) transitions affect minority older adults with Alzheimer's disease or related dementia (ADRD), and the extent to which dual Medicare-Medicaid eligibility may attenuate or exacerbate disparities in PAC outcomes. We examined: (1) PAC referrals by race/ethnicity and dual status; (2) individual, hospital, and market-level factors associated with PAC; (3) the association between PAC and outcomes.

DATA SOURCES/STUDY SETTING

We used the following secondary data: Master Beneficiary Summary File (MBSF), Medicare Provider Analysis and Review (MedPAR), Minimum Data Set (MDS), Area Health Resource File (AHRF), hospital Provider of Services (POS) file, and the area deprivation index (ADI).

STUDY DESIGN

This observational study consisted of 619,262 community-residing Medicare fee-for-service (FFS) beneficiaries with ADRD who had a hospital stay in 2017.

DATA COLLECTION/EXTRACTION METHODS

PAC discharge was to skilled nursing facilities (SNF), home health care (HHC) agencies or home without services. Outcomes were 30-day readmission and death. Multinomial logistic regressions with hospital random effects (RE), stratified by dual eligibility, were fit.

PRINCIPAL FINDINGS

Dual-related differences were significantly larger than race/ethnicity differences in PAC transitions. For example, the difference in the probability of SNF transitions between White and Black patients was 3.2% and 6.8%-points for non-duals and duals, respectively. The difference between non-dual/dual White patients was 21.6% points, and among Black patients 18.0%-points. The adjusted risk of 30-day readmission was 5.6 percentage point higher among non-duals discharged to SNF, compared to home, but such risk among duals was not statistically significantly different. The adjusted probabilities of 30-day mortality were larger for duals and non-duals who transitioned to SNF, compared to those discharged home.

CONCLUSIONS

PAC referrals and the resulting outcomes for Medicare beneficiaries with ADRD are associated with multi-level variables that need to be incorporated in discharge decision making.

Hospitals That Serve Many Black Patients Have Lower Revenues and Profits: Structural Racism in Hospital Financing

BACKGROUND

Care for Black patients is concentrated at a relatively small proportion of all US hospitals. Some previous studies have documented quality deficits at Black-serving hospitals, which may be due to inequities in financial resources for care.

OBJECTIVE

To assess disparities in funding between hospitals associated with the proportion of Black patients that they serve.

PARTICIPANTS

All Medicare-participating hospitals, 2016-2018.

MAIN MEASURES

Patient care revenues and profits per patient day at Black-serving hospitals (the top 10% of hospitals ranked by the share of Black patients among all Medicare inpatients) and at other hospitals, unadjusted and adjusted for differences in case mix and hospital characteristics.

KEY RESULTS

Among the 574 Black-serving hospitals, an average of 43.7% of Medicare inpatients were Black, vs. 5.2% at the 5,166 other hospitals. Black-serving hospitals were slightly larger, and were more often urban, teaching, and for-profit or government (vs. non-profit) owned. Patient care revenues and profits averaged $1,736 and $-17 per patient day respectively at Black-serving hospitals vs. $2,213 and $126 per patient day at other hospitals (p<.001 for both comparisons). Adjusted for patient case mix and hospital characteristics, mean revenues were $283 lower/patient day (p<.001) and mean profits were $111/patient day lower (p<.001) at Black-serving hospitals. Equalizing reimbursement levels would have required $14 billion in additional payments to Black-serving hospitals in 2018, a mean of approximately $26 million per Black-serving hospital.

CONCLUSIONS

US hospital financing effectively assigns a lower dollar value to the care of Black patients. To reduce disparities in care, health financing reforms should eliminate the underpayment of hospitals serving a large share of Black patients.

Deficits and Disparities in Early Uptake of Glucagon-Like Peptide 1 Receptor Agonists and SGLT2i Among Medicare-Insured Adults Following a New Diagnosis of Cardiovascular Disease or Heart Failure

OBJECTIVE

To examine the association of race/ethnicity and socioeconomic deprivation with initiation of guideline-recommended diabetes medications with cardiovascular benefit (glucagon-like peptide 1 receptor agonists [GLP1-RA] and sodium-glucose cotransporter 2 inhibitors [SGLT2i]) among older adults with type 2 diabetes (T2D) and either incident atherosclerotic cardiovascular disease (ASCVD) or congestive heart failure (CHF).

RESEARCH DESIGN AND METHODS

Using Medicare data (2016-2019), we identified 4,057,725 individuals age >65 years with T2D and either incident ASCVD or CHF. We estimated incidence rates and hazard ratios (HR) of GLP1-RA or SGLT2i initiation within 180 days by race/ethnicity and zip code-level Social Deprivation Index (SDI) using adjusted Cox proportional hazards models.

RESULTS

Incidence rates of GLP1-RA or SGLT2i initiation increased over time but remained low (<0.6 initiations per 100 person-months) in all years studied. Medication initiation was less common among those of Black or other race/ethnicity (HR 0.81 [95% CI 0.79-0.84] and HR 0.84 [95% CI 0.75-0.95], respectively) and decreased with increasing SDI (HR 0.96 [95% CI 0.96-0.97]). Initiation was higher in ASCVD than CHF (0.35 vs. 0.135 initiations per 100 person-months). Moderate (e.g., nephropathy, nonalcoholic fatty liver disease) but not severe (e.g., advanced chronic kidney disease, cirrhosis) comorbidities were associated with higher probability of medication initiation.

CONCLUSIONS

Among older adults with T2D and either ASCVD or CHF, initiation of GLP1-RA or SGLT2i was low, suggesting a substantial deficit in delivery of guideline-recommended care or treatment barriers. Individuals of Black and other race/ethnicity and those with higher area-level socioeconomic deprivation were less likely to initiate these medications.

Risk Adjustment And Promoting Health Equity In Population-Based Payment: Concepts And Evidence

The objective of risk adjustment is not to predict spending accurately but to support the social goals of a payment system, which include equity. Setting population-based payments at accurate predictions risks entrenching spending levels that are insufficient to mitigate the impact of social determinants on health care use and effectiveness. Instead, to advance equity, payments must be set above current levels of spending for historically disadvantaged groups. In analyses intended to guide such reallocations, we found that current risk adjustment for the community-dwelling Medicare population overpredicts annual spending for Black and Hispanic beneficiaries by $376-$1,264. The risk-adjusted spending for these populations is lower than spending for White beneficiaries despite the former populations' worse risk-adjusted health and functional status. Thus, continued movement from fee-for-service to population-based payment models that omit race and ethnicity from risk adjustment (as current models do) should result in sizable resource reallocations and incentives that support efforts to address racial and ethnic disparities in care. We found smaller overpredictions for less-educated beneficiaries and communities with higher proportions of residents who are Black, Hispanic, or less educated, suggesting that additional payment adjustments that depart from predictive accuracy are needed to support health equity. These findings also suggest that adding social risk factors as predictors to spending models used for risk adjustment may be counterproductive or accomplish little.

Specialist Availability and Drug Adherence in Older Adults with Dementia Across Regions of the United States

BACKGROUND

Access to specialists facilitates appropriate Alzheimer's disease and related dementia (ADRD) medication use and adherence. However, there is little information on the impact of specialists' availability on ADRD medication adherence, especially in regions of the United States (US) where specialists are scarce, e.g., the Deep South (DS).

OBJECTIVE

To ascertain whether the availability of specialty physicians in the DS and other US regions predicts ADRD medication adherence among community-dwelling older adultsMethods:We conducted secondary analyses of claims data for 54,194 Medicare beneficiaries with ADRD in 2013-2015. Medication adherence was measured using the proportion of days covered (PDC). Multivariable-adjusted Modified Poisson regression was used to examine associations of adherence with physicians' availability by region.

RESULTS

The race/ethnicity distribution was 81.44% white, 9.17% black, 6.24% Hispanic, 2.25% Asian, and 1% other; 71.81% were female, and 42.36% were older than 85 years. Beneficiaries across regions differed in all individual and contextual characteristics except sex and comorbidities. Neurologists and psychiatrists' availability was not significantly associated with adherence (DS = 1.00, 0.97-1.03 & non-DS = 1.01, 1.00-1.01). Race and having ≥1 specialist visits were associated with a lower risk of adherence in both regions (p < 0.0001). Advanced age, dual Medicare/Medicaid eligibility, and living in non-large metropolitan areas, were associated with adherence in the non-DS region.

CONCLUSION

Among older Americans with ADRD, a context defined by specialist availability does not affect adherence, but other context characteristics related to socioeconomic status may. Research should further examine the influence of individual and contextual factors on ADRD treatment among older adults.

Variations in Medicare Advantage Switching Rates Among African American and Hispanic Medicare Beneficiaries With Alzheimer's Disease and Related Dementias, by Sex and Dual Eligibility

OBJECTIVES

The objective of this study was to identify rates of switching to Medicare Advantage (MA) among fee-for-service (FFS) Medicare beneficiaries with Alzheimer's disease and related dementias (ADRD) by race/ethnicity and whether these rates vary by sex and dual-eligibility status for Medicare and Medicaid.

METHODS

Data came from the Medicare Master Beneficiary Summary File from 2017 to 2018. The outcome of interest for this study was switching from FFS to MA during any month in 2018. The primary independent variable was race/ethnicity including non-Hispanic White, non-Hispanic African American, and Hispanic beneficiaries. Two interaction terms among race/ethnicity and dual eligibility, and race/ethnicity and sex were included. The model adjusted for age, year of ADRD diagnosis, the number of chronic/disabling conditions, total health care costs, and ZIP code fixed effects.

RESULTS

The study included 2,284,175 FFS Medicare beneficiaries with an ADRD diagnosis in 2017. Among dual-eligible beneficiaries, adjusted rates of switching were higher among African American (1.91 percentage points [p.p.], 95% confidence interval [CI]: 1.68-2.15) and Hispanic beneficiaries (1.36 p.p., 95% CI: 1.07-1.64) compared to non-Hispanic White beneficiaries. Among males, adjusted rates were higher among African American (3.28 p.p., 95% CI: 2.97-3.59) and Hispanic beneficiaries (2.14 p.p., 95% CI: 1.86-2.41) compared to non-Hispanic White beneficiaries.

DISCUSSION

Among persons with ADRD, African American and Hispanic beneficiaries are more likely than White beneficiaries to switch from FFS to MA. This finding underscores the need to monitor the quality and equity of access and care for these populations.

Race, Sex, and Neighborhood Socioeconomic Disparities in Ablation of Ventricular Tachycardia Within a National Medicare Cohort

Background Ventricular tachycardia (VT) ablation significantly improves our ability to control VT, yet little is known about whether disparities exist in delivery of this technology. Methods and Results Using a national 100% Medicare inpatient data set of beneficiaries admitted with VT from January 1, 2014, through November 30, 2014, multivariable logistic regression techniques were used to examine the sociodemographic and clinical characteristics associated with receiving ablation. Census block group-level neighborhood socioeconomic disadvantage was measured for each patient by the Area Deprivation Index, a composite measure of socioeconomic disadvantage consisting of education, income, housing, and employment factors. Among 131 645 patients admitted with VT, 2190 (1.66%) received ablation. After adjustment for comorbidities, hospital characteristics, and sociodemographics, female sex (odds ratio [OR], 0.75 [95% CI, 0.67-0.84]), identifying as Black race (OR, 0.75 [95% CI, 0.62-0.90] compared with identifying as White race), and living in a highly socioeconomically disadvantaged neighborhood (national Area Deprivation Index percentile of >85%) (OR, 0.81 [95% CI, 0.69-0.95] versus Area Deprivation Index ≤85%) were associated with significantly lower odds of receiving ablation. Conclusions Female patients, patients identifying as Black race, and patients living in the most disadvantaged neighborhoods are 19% to 25% less likely to receive ablation during hospitalization with VT. The cause of and solutions for these disparities require further investigation.

Association Between Individual Primary Care Physician Merit-based Incentive Payment System Score and Measures of Process and Patient Outcomes

IMPORTANCE

The Medicare Merit-based Incentive Payment System (MIPS) influences reimbursement for hundreds of thousands of US physicians, but little is known about whether program performance accurately captures the quality of care they provide.

OBJECTIVE

To examine whether primary care physicians' MIPS scores are associated with performance on process and outcome measures.

DESIGN, SETTING, AND PARTICIPANTS

Cross-sectional study of 80 246 US primary care physicians participating in the MIPS program in 2019.

EXPOSURES

MIPS score.

MAIN OUTCOMES AND MEASURES

The association between physician MIPS scores and performance on 5 unadjusted process measures, 6 adjusted outcome measures, and a composite outcome measure.

RESULTS

The study population included 3.4 million patients attributed to 80 246 primary care physicians, including 4773 physicians with low MIPS scores (≤30), 6151 physicians with medium MIPS scores (>30-75), and 69 322 physicians with high MIPS scores (>75). Compared with physicians with high MIPS scores, physicians with low MIPS scores had significantly worse mean performance on 3 of 5 process measures: diabetic eye examinations (56.1% vs 63.2%; difference, -7.1 percentage points [95% CI, -8.0 to -6.2]; P < .001), diabetic HbA1c screening (84.6% vs 89.4%; difference, -4.8 percentage points [95% CI, -5.4 to -4.2]; P < .001), and mammography screening (58.2% vs 70.4%; difference, -12.2 percentage points [95% CI, -13.1 to -11.4]; P < .001) but significantly better mean performance on rates of influenza vaccination (78.0% vs 76.8%; difference, 1.2 percentage points [95% CI, 0.0 to 2.5]; P = .045] and tobacco screening (95.0% vs 94.1%; difference, 0.9 percentage points [95% CI, 0.3 to 1.5]; P = .001). MIPS scores were inconsistently associated with risk-adjusted patient outcomes: compared with physicians with high MIPS scores, physicians with low MIPS scores had significantly better mean performance on 1 outcome (307.6 vs 316.4 emergency department visits per 1000 patients; difference, -8.9 [95% CI, -13.7 to -4.1]; P < .001), worse performance on 1 outcome (255.4 vs 225.2 all-cause hospitalizations per 1000 patients; difference, 30.2 [95% CI, 24.8 to 35.7]; P < .001), and did not have significantly different performance on 4 ambulatory care-sensitive admission outcomes. Nineteen percent of physicians with low MIPS scores had composite outcomes performance in the top quintile, while 21% of physicians with high MIPS scores had outcomes in the bottom quintile. Physicians with low MIPS scores but superior outcomes cared for more medically complex and socially vulnerable patients, compared with physicians with low MIPS scores and poor outcomes.

CONCLUSIONS AND RELEVANCE

Among US primary care physicians in 2019, MIPS scores were inconsistently associated with performance on process and outcome measures. These findings suggest that the MIPS program may be ineffective at measuring and incentivizing quality improvement among US physicians.

Healthcare Utilization for Medicaid-Insured Children with Medical Complexity: Differences by Sociodemographic Characteristics

OBJECTIVE

To compare differences in healthcare utilization and costs for Medicaid-insured children with medical complexity (CMC) by race/ethnicity and rurality.

METHODS

Retrospective cohort of North Carolina (NC) Medicaid claims for children 3-20 years old with 3 years continuous Medicaid coverage (10/1/2015-9/30/2018). Exposures were medical complexity, race/ethnicity, and rurality. Three medical complexity levels were: without chronic disease, non-complex chronic disease, and complex chronic disease; the latter were defined as CMC. Race/ethnicity was self-reported in claims; we defined rurality by home residence ZIP codes. Utilization and costs were summarized for 1 year (10/1/2018-9/30/2019) by complexity level classification and categorized as acute care (hospitalization, emergency [ED]), outpatient care (primary, specialty, allied health), and pharmacy. Per-complexity group utilization rates (per 1000 person-years) by race/ethnicity and rurality were compared using adjusted rate ratios (ARR).

RESULTS

Among 859,166 Medicaid-insured children, 118,210 (13.8%) were CMC. Among CMC, 36% were categorized as Black non-Hispanic, 42.7% White non-Hispanic, 14.3% Hispanic, and 35% rural. Compared to White non-Hispanic CMC, Black non-Hispanic CMC had higher hospitalization (ARR = 1.12; confidence interval, CI 1.08-1.17) and ED visit (ARR = 1.17; CI 1.16-1.19) rates; Hispanic CMC had lower ED visit (ARR = 0.77; CI 0.75-0.78) and hospitalization rates (ARR = 0.79; CI 0.73-0.84). Black non-Hispanic and Hispanic CMC had lower outpatient visit rates than White non-Hispanic CMC. Rural CMC had higher ED (ARR = 1.13; CI 1.11-1.15) and lower primary care utilization rates (ARR = 0.87; CI 0.86-0.88) than urban CMC.

DISCUSSION

Healthcare utilization varied by race/ethnicity and rurality for Medicaid-insured CMC. Further studies should investigate mechanisms for these variations and expand higher value, equitable care delivery for CMC.

Geographic Variation in Influenza Vaccination Disparities Between Hispanic and Non-Hispanic White US Nursing Home Residents

BACKGROUND

Disparities in influenza vaccination exist between Hispanic and non-Hispanic White US nursing home (NH) residents, but the geographic areas with the largest disparities remain unknown. We examined how these racial/ethnic disparities differ across states and hospital referral regions (HRRs).

METHODS

This retrospective cohort study included >14 million short-stay and long-stay US NH resident-seasons over 7 influenza seasons from October 1, 2011, to March 31, 2018, where residents could contribute to 1 or more seasons. Residents were aged ≥65 years and enrolled in Medicare fee-for-service. We used the Medicare Beneficiary Summary File to ascertain race/ethnicity and Minimum Data Set assessments for influenza vaccination. We calculated age- and sex-standardized percentage point (pp) differences in the proportions vaccinated between non-Hispanic White and Hispanic (any race) resident-seasons. Positive pp differences were considered disparities, where the proportion of non-Hispanic White residents vaccinated was greater than the proportion of Hispanic residents vaccinated. States and HRRs with ≥100 resident-seasons per age-sex stratum per racial/ethnic group were included in analyses.

RESULTS

Among 7 442 241 short-stay resident-seasons (94.1% non-Hispanic White, 5.9% Hispanic), the median standardized disparities in influenza vaccination were 4.3 pp (minimum, maximum: 0.3, 19.2; n = 22 states) and 2.8 pp (minimum, maximum: -3.6, 10.3; n = 49 HRRs). Among 6 758 616 long-stay resident-seasons (93.7% non-Hispanic White, 6.5% Hispanic), the median standardized differences were -0.1 pp (minimum, maximum: -4.1, 11.4; n = 18 states) and -1.8 pp (minimum, maximum: -6.5, 7.6; n = 34 HRRs).

CONCLUSIONS

Wide geographic variation in influenza vaccination disparities existed across US states and HRRs. Localized interventions targeted toward areas with high disparities may be a more effective strategy to promote health equity than one-size-fits-all national interventions.

Prolonged use of newly prescribed gabapentin after surgery

BACKGROUND

Surgeons have made substantial efforts to decrease postoperative opioid prescribing, largely because it can lead to prolonged use. These efforts include adoption of non-opioid pain medication including gabapentin. Like opioids, gabapentin use may be prolonged, increasing the risk of altered mental status and even overdose and death when taken concurrently with opioids. However, little is known about postoperative prolonged use of gabapentin in older adults.

METHODS

We merged a 20% sample of Medicare Carrier, MedPAR and Outpatient Files with Part D for 2013-2018. We included patients >65 years old without prior gabapentinoid use who underwent common non-cataract surgical procedures. We defined new postoperative gabapentin as fills for 7 days before surgery until 7 days after discharge. We excluded patients whose discharge disposition was hospice or death. The primary outcome was prolonged use of gabapentin, defined as a fill>90 days after discharge. To identify risk factors for prolonged use, we constructed logistic regression models, adjusted for procedure and patient characteristics, length of stay, disposition location, and care complexity.

RESULTS

Overall, 17,970 patients (3% of all eligible patients) had a new prescription for gabapentin after surgery. Of these, the mean age was 73 years old and 62% were female. The most common procedures were total knee (45%) and total hip (21%) replacements. Prolonged use occurred in 22%. Those with prolonged use were more likely to be women (64% vs. 61%), be non-White (14% vs. 12%), have concurrent prolonged opioid use (44% vs. 18%), and have undergone emergency surgery (8% vs. 4%). On multivariable analysis, being female, having a higher Charlson comorbidity score, having an opioid prescription at discharge and at >90 days and having a higher care complexity were associated with prolonged use of gabapentin.

CONCLUSIONS

More than one-fifth of older adults prescribed gabapentin postoperatively filled a prescription >90 days after discharge, especially among patients with more comorbidities and concurrent prolonged opioid use, increasing the risk of adverse drug events and polypharmacy.

Racial disparities in the development of comorbid conditions after preterm birth: A narrative review

Despite recognition and attempts to reduce racial disparities in perinatal outcomes, Black infants are still disproportionately represented among those who are born preterm. Postnatal investigations of racial disparities in comorbidities and outcomes after preterm birth are increasing, although their results and interpretations are conflicting. In the present review, we 1.) identify important methodological limitations of that literature 2.) summarize the conflicting literature investigating racial disparities, specifically Black-white differences, in postnatal comorbidities and outcomes after preterm birth 3.) describe mechanisms by which racism operates to contextualize our understanding to inform future work to actively reduce disparities in preterm birth and subsequently, its complications.

Association of Medicare Advantage Star Ratings With Racial and Ethnic Disparities in Hospitalizations for Ambulatory Care Sensitive Conditions

BACKGROUND

Enrollment in high-quality Medicare Advantage (MA) plans, measured by a 5-star quality rating system, was lower among racial and ethnic minority enrollees than White enrollees partly due to fewer high-quality plans available in their counties of residence. This may contribute to racial and ethnic disparities in ambulatory care sensitive condition (ACSC) hospitalizations.

OBJECTIVE

We examined whether there were racial and ethnic disparities in ACSC hospitalizations among MA enrollees overall and by star rating.

METHODS

Using the Medicare enrollment and claims data for 2016, we identified White, Black, Hispanic, and Asian/Pacific Islander enrollees in MA plans. We estimated racial and ethnic disparities in ACSC hospitalizations (per 10,000 enrollees) overall and by star rating.

RESULTS

We found that the adjusted rates of ACSC hospitalizations were significantly higher among Black enrollees than White enrollees overall [39.4 (95% confidence interval: 36.3-42.5)]. However, no significant disparities were found among Hispanic and Asian/Pacific Islander enrollees. The adjusted rates of ACSC hospitalizations were higher in lower-rated plans than higher-rated plans in all racial and ethnic groups. The significant disparities in ACSC hospitalizations by star rating were the most pronounced between White and Black enrollees. We found suggestive evidence that enrollment in lower-rated plans was associated with higher disparities in ACSC hospitalizations between White and Black enrollees.

CONCLUSIONS

Substantial disparities in ACSC hospitalizations exist between White and Black enrollees in MA plans, especially for lower-rated plans. Policies aimed at reducing racial disparities in ACSC hospitalizations could include improving access to high-rated plans.

Structural interventions that affect racial inequities and their impact on population health outcomes: a systematic review

Structural racism is the historical and ongoing reinforcement of racism within society due to discriminatory systems and inequitable distribution of key resources. Racism, embedded within institutional structures, processes and values, perpetuates historical injustices and restricts access to structural factors that directly impact health, such as housing, education and employment. Due to the complex and pervasive nature of structural racism, interventions that act at the structural level, rather than the individual level, are necessary to improve racial health equity. This systematic review was conducted to evaluate the effects of structural-level interventions on determinants of health and health outcomes for racialized populations. A total of 29 articles are included in this review, analyzing interventions such as supplemental income programs, minimum wage policies, nutrition safeguard programs, immigration-related policies, and reproductive and family-based policies. Most studies were quasi-experimental or natural experiments. Findings of studies were largely mixed, although there were clear benefits to policies that improve socioeconomic status and opportunities, and demonstrable harms from policies that restrict access to abortion or immigration. Overall, research on the effects of structural-level interventions to address health inequities is lacking, and the evidence base would benefit from well-designed studies on upstream policy interventions that affect the structural determinants of health and health inequities and improve daily living conditions.

A Practical Guide to Use of Publicly Available Data Sets for Observational Research in Interventional Radiology

Observational data research studying access, utilization, cost, and outcomes of image-guided interventions using publicly available "big data" sets is growing in the interventional radiology (IR) literature. Publicly available data sets offer insight into real-world care and represent an important pillar of IR research moving forward. They offer insights into how IR procedures are being used nationally and whether they are working as intended. On the other hand, large data sources are aggregated using complex sampling frames, and their strengths and weaknesses only become apparent after extensive use. Unintentional misuse of large data sets can result in misleading or sometimes erroneous conclusions. This review introduces the most commonly used databases relevant to IR research, highlights their strengths and limitations, and provides recommendations for use. In addition, it summarizes methodologic best practices pertinent to all data sets for planning and executing scientifically rigorous and clinically relevant observational research.

Investigating Health Disparities Associated With Multisystem Inflammatory Syndrome in Children After SARS-CoV-2 Infection

BACKGROUND

Multisystem inflammatory syndrome in children (MIS-C) is a postinfectious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related complication that has disproportionately affected racial/ethnic minority children. We conducted a pilot study to investigate risk factors for MIS-C aiming to understand MIS-C disparities.

METHODS

This case-control study included MIS-C cases and SARS-CoV-2-positive outpatient controls less than 18 years old frequency-matched 4:1 to cases by age group and site. Patients hospitalized with MIS-C were admitted between March 16 and October 2, 2020, across 17 pediatric hospitals. We evaluated race, ethnicity, social vulnerability index (SVI), insurance status, weight-for-age and underlying medical conditions as risk factors using mixed effects multivariable logistic regression.

RESULTS

We compared 241 MIS-C cases with 817 outpatient SARS-CoV-2-positive at-risk controls. Cases and controls had similar sex, age and U.S. census region distribution. MIS-C patients were more frequently previously healthy, non-Hispanic Black, residing in higher SVI areas, and in the 95th percentile or higher for weight-for-age. In the multivariable analysis, the likelihood of MIS-C was higher among non-Hispanic Black children [adjusted odds ratio (aOR): 2.07; 95% CI: 1.23-3.48]. Additionally, SVI in the 2nd and 3rd tertiles (aOR: 1.88; 95% CI: 1.18-2.97 and aOR: 2.03; 95% CI: 1.19-3.47, respectively) were independent factors along with being previously healthy (aOR: 1.64; 95% CI: 1.18-2.28).

CONCLUSIONS

In this study, non-Hispanic Black children were more likely to develop MIS-C after adjustment for sociodemographic factors, underlying medical conditions, and weight-for-age. Investigation of the potential contribution of immunologic, environmental, and other factors is warranted.

A Review of Race and Ethnicity in Hospice and Palliative Medicine Research: Representation Matters

CONTEXT

Despite documented racial and ethnic disparities in care, there is significant variability in representation, reporting, and analysis of race and ethnic groups in the hospice and palliative medicine (HPM) literature.

OBJECTIVES

To evaluate the race and ethnic diversity of study participants and the reporting of race and ethnicity data in HPM research.

METHODS

Adult patient and/or caregiver-centered research conducted in the U.S. and published as JPSM Original Articles from January 1, 2015, through December 31, 2019, were identified. Descriptive analyses were used to summarize the frequency of variables related to reporting of race and ethnicity.

RESULTS

Of 1253 studies screened, 218 were eligible and reviewed. There were 78 unique race and ethnic group labels. Over 85% of studies included ≥ one non-standard label based on Office of Management and Budget designations. One-quarter of studies lacked an explanation of how race and ethnicity data were collected, and 83% lacked a rationale. Over half did not include race and/or ethnicity in the analysis, and only 14 studies focused on race and/or ethnic health or health disparities. White, Black, Hispanic, Asian, American Indian or Alaska Native, and Native Hawaiian or Other Pacific Islander persons were included in 95%, 71%, 43% 37%,10%, and 4% of studies. In 92% of studies the proportion of White individuals exceeded 57.8%, which is their proportion in the U.S.

CONCLUSION

Our findings suggest there are important opportunities to standardize reporting of race and ethnicity, strive for diversity, equity, and inclusion among research participants, and prioritize the study of racial and ethnic disparities in HPM research.

Peter WL. Disparities in SGLT2 Inhibitor or Glucagon-Like Peptide 1 Receptor Agonist Initiation Among Medicare-Insured Adults With CKD in the United States

Rationale & Objective

Information regarding disparities in initiating sodium/glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide 1 receptor agonists (GLP-1RA) in patients with chronic kidney disease (CKD) is limited. We examined sociodemographic and clinical factors associated with the initiation of SGLT2i, GLP-1RA, or second-generation sulfonylureas in a Medicare Fee-For-Service patient population with CKD and type 2 diabetes.

Study Design

Retrospective cohort study.

Setting & Participants

The 20% random sample of Medicare Fee-For-Service claims, 2012-2018.

Exposures

Patients' sociodemographic and clinical factors.

Outcomes

Use of SGLT2i, GLP-1RA, or sulfonylureas.

Analytical Approach

Patients with a newly initiated prescription of SGLT2i, GLP-1RA, or second-generation sulfonylureas from January 1, 2013, to December 31, 2018, were identified. Multinomial logistic regression model was used to evaluate demographic and clinical factors associated with the initiation of SGLT2i, GLP-1RA, or second-generation sulfonylureas.

Results

The study cohort comprised 53,029 adults (aged greater than or equal to 18 years) with CKD and type 2 diabetes, of whom 10.0%, 17.4%, and 72.6% had a first prescription for SGLT2i, GLP-1RA, and sulfonylurea, respectively. Patients aged greater than or equal to 75 years versus those aged 65-74 years had lower odds to start SGLT2i or GLP-1RA compared with sulfonylureas. Black patients were associated with lower odds of initiation of SGLT2i (OR, 0.67; 95% CI, 0.61-0.74) and GLP-1RA (OR, 0.73; 95% CI, 0.68-0.79), compared with White patients. Hispanic and Asian patients had lower odds of initiation of GLP-1RA. Patients with cardiovascular disease or hyperlipidemia had higher odds to start SGLT2i or GLP-1RA.

Limitations

CKD and type 2 diabetes diagnosis; CKD stage; and patient clinical status were identified with diagnosis or procedure codes. There is potential for residual confounding with the use of retrospective data.

Conclusions

The results of this study identified disparities in the use of SGLT2i and GLP-1RA in patients with CKD. Black and older patients were significantly less likely to be initiated on SGLT2i or GLP-1RA than on second-generation sulfonylureas.

Medicare Enrollment Rates Across Six Asian Subgroups in the USA

OBJECTIVES

Although Medicare is a vital source of health insurance coverage for older Americans, little is known about Medicare enrollment among older Asians. This study aimed to examine heterogeneity in Medicare enrollment across the six largest subgroups of Asian Americans (Chinese, Japanese, Filipino, Indian, Korean, and Vietnamese), in relation to their citizenship status and labor force participation.

METHODS

Data from the American Community Survey Public Use Microdata Sample (2014-2018) were analyzed for older foreign-born Asians aged 65 or older (N = 83,378). A two-level multilevel logistic regression model (states > individuals) was used to model the probabilities of Medicare enrollment, accounting for state-level residential clustering by Asian subgroup and, thus, for nonindependence among respondents from the same state.

RESULTS

The results indicated a substantial amount of heterogeneity in Medicare enrollment across the six Asian subgroups. Although the overall Medicare enrollment rate was low (90.2%), the rates varied from 85.5% among Indians to 93.8% among Koreans and Japanese. Naturalized citizens and those not in the labor force were associated with greater probabilities of Medicare enrollment. However, the relative differences in the Medicare enrollment rates across the six Asian subgroups were different by individuals' naturalization status and labor force participation (i.e., significant three-way interactions).

DISCUSSION

These results highlight that aggregated data cannot accurately represent Medicare and health insurance status of older Asians with different sub-ethnic backgrounds. Intragroup and intergroup differences in Medicare enrollment among foreign-born older Asians should be considered for targeted policy approaches for this group of older adults.

Short Report: Race and Ethnicity Misclassification in Kidney Transplantation Research

Recently, the misuse of race as a biological variable, rather than a social construct, in biomedical research has received national attention for its contributions to medical bias. In national transplant registry data, bias may arise from measurement imprecision because of the collection of provider-perceived race rather than patients' own self-report.

Methods

We linked Scientific Registry of Transplant Recipients data to a prospective, multicenter cohort study of adult kidney transplant patients (December 2008-February 2020) that collects patient-reported race. We computed Cohen's kappa statistic to estimate agreement between provider-perceived and patient-reported race in the 2 data sources. We used an unadjusted generalized linear model to examine changes in agreement over time.

Results

Among 2942 kidney transplant patients, there was almost perfect agreement among Asian (kappa = 0.88, 95% confidence interval [CI], 0.84-0.92), Black (kappa = 0.97, 95% CI, 0.96-0.98), and White categories (kappa = 0.95, 95% CI, 0.93-0.96) and worse agreement among Hispanic/Latino (kappa = 0.66, 95% CI, 0.57-0.74) and Native Hawaiian/Other Pacific Islander categories (kappa = 0.40, 95% CI, 0.01-0.78). The percent agreement decreased over time (difference in percent agreement = -0.55, 95% CI, -0.75 to -0.34). However, there were differences in these trends by race: -0.07/y, 95% CI, -0.21 to 0.07 for Asian; -0.06/y, 95% CI, -0.28 to 0.16 for Black; -0.01/y, 95% CI, -0.21 to 0.19 for Hispanic/Latino; -0.43/y, 95% CI, -0.58 to -0.28 for White categories.

Conclusions

Race misclassification has likely led to increasingly biased research estimates over time, especially for Asian, Hispanic/Latino, and Native Hawaiian/Other Pacific Islander study populations. Improvements to race measurement include mandating patient-reported race, expanding race categories to better reflect contemporary US demographics, and allowing write-ins on data collection forms, as well as supplementing data with qualitative interviews or validated measures of cultural identity, ancestry, and discrimination.

Filling out the race/skin color item in the patient identification form: aspects of its implementation in a university hospital

Abstract Thirteen years after the publication of the National Policy for the Comprehensive Health of the Black Population (PNSIPN, Política Nacional da Saúde Integral da População Negra), filling out the race/skin color question in the patient identification form remains a challenge. Authors have focused on the need to integrate knowledge from the science of implementation into public policies. The aim of this article is to describe and analyze the implementation of the collection of the race/skin color item carried out by the professionals responsible for the registration of patients at a university hospital in the city of São Paulo. This was an exploratory and descriptive study, structured from three constructs of the Consolidated Framework for Implementation Research (CFIR): intervention, internal scenario and characteristics of individuals. Most records of race/skin color in the observed institution are made by heteroidentification. Based on the CFIR constructs, aspects identified as obstacles and facilitators are identified. The implementation of the collection of the race/skin color item by self-declaration, as provided for in the PNSIPN and in Ordinance n. 344/2017, is still incipient and depends mainly on organizational changes, which can favor its effectiveness.

Enrollment in Supplemental Insurance Coverage Among Medicare Beneficiaries by Race/Ethnicity

OBJECTIVES

The objective of this study was to examine racial/ethnic differences in enrollment trends for supplemental insurance coverage among traditional Medicare (TM) and Medicare Advantage (MA) beneficiaries.

STUDY DESIGN

We employed a retrospective cohort study design using the 2010-2016 Medicare Current Beneficiary Survey.

METHODS

We included two types of outcomes: 1) seven exclusive types of insurance coverage in a given year and 2) changes in insurance coverage in the next year for those with each of the seven exclusive types of insurance coverage. Our primary independent variable was race/ethnicity. We conducted regression while controlling for demographic, socioeconomic, and health characteristics. We calculated the adjusted value of the outcome by race/ethnicity after adjusting for demographic, socioeconomic, and health status characteristics.

RESULTS

We found substantial racial/ethnic differences in supplemental insurance coverage among TM and MA beneficiaries. Compared to White beneficiaries, racial/ethnic minority beneficiaries had lower adjusted rates of enrollment in Medigap among TM beneficiaries and higher enrollment in Medicaid among both TM and MA beneficiaries. Trends in enrollment differed by supplemental insurance coverage, but an increasing trend in enrollment among MA beneficiaries without supplemental insurance coverage and MA beneficiaries with Medicaid was notable. Overall trends were consistent across all racial/ethnic groups. Finally, most beneficiaries were less likely to change insurance coverage in the next year, but a distinct phenomenon was observed among Black beneficiaries with the lowest rates of remaining in Medigap or MA only.

CONCLUSIONS

Our findings indicate the minority Medicare beneficiaries may not have equitable access to supplemental insurance coverage.

A national study of disenrollment from hospice among people with dementia

BACKGROUND

People with dementia (PWD) are at high risk for hospice disenrollment, yet little is known about patterns of disenrollment among the growing number of hospice enrollees with dementia.

DESIGN

Retrospective, observational cohort study of 100% Medicare beneficiaries with dementia aged 65 and older enrolled in the Medicare Hospice Benefit between July 2012 and December 2017. Outcome measures included hospice-initiated disenrollment for patients whose rate of decline ceased to meet the Medicare hospice eligibility guideline of "expected death within 6 months" (extended prognosis) and patient-initiated disenrollment (revocation). Hospice, regional, and patient risk factors and variation were assessed with multilevel mixed-effects logistic regression models.

RESULTS

Among 867,695 hospice enrollees with dementia, 70,945 (8.2%) were disenrolled due to extended prognosis and 43,133 (5.0%) revoked within 1-year of their index admission. There was substantial variation in hospice provider disenrollment due to extended prognosis (10th-90th percentile 4.5%-14.6%, adjusted median odds ratio (MOR) 1.86, 95% confidence interval (CI) 1.82, 1.91) and revocation (10th-90th percentile 2.5%-10.1%, MOR 2.09, 95% CI 2.03, 2.14). Among hospital referral regions (HRR), there was more variation in revocation (10th-90th percentile 3.5%-7.6%, MOR 1.4, 95% CI 1.34, 1.47) than extended prognosis (10th-90th percentile 7.0%-9.5%, MOR 1.23, 95% CI 1.18, 1.27), with much higher revocation rates noted in HRRs located in the Southeast and Southern California. A number of patient and hospice characteristics were associated with higher odds of both types of disenrollment (younger age, female sex, minoritized race and ethnicity, Medicaid dual eligibility, Medicare Part C enrollment), while some were associated with revocation only (more comorbidities, newer, smaller, and for-profit hospices).

CONCLUSIONS

In this nationally representative study of hospice enrollees with dementia, hospice disenrollment varied by type of hospice, geographic region, and patient characteristics including age, sex, race, and ethnicity. These findings raise important questions about whether and how the Medicare Hospice Benefit could be adapted to reduce disparities and better support PWD.

Filling out the race/skin color item in the patient identification form: aspects of its implementation in a university hospital

Thirteen years after the publication of the National Policy for the Comprehensive Health of the Black Population (PNSIPN, Política Nacional da Saúde Integral da População Negra), filling out the race/skin color question in the patient identification form remains a challenge. Authors have focused on the need to integrate knowledge from the science of implementation into public policies. The aim of this article is to describe and analyze the implementation of the collection of the race/skin color item carried out by the professionals responsible for the registration of patients at a university hospital in the city of São Paulo. This was an exploratory and descriptive study, structured from three constructs of the Consolidated Framework for Implementation Research (CFIR): intervention, internal scenario and characteristics of individuals. Most records of race/skin color in the observed institution are made by heteroidentification. Based on the CFIR constructs, aspects identified as obstacles and facilitators are identified. The implementation of the collection of the race/skin color item by self-declaration, as provided for in the PNSIPN and in Ordinance n. 344/2017, is still incipient and depends mainly on organizational changes, which can favor its effectiveness.

Racial/ethnic disparities in the enrollment of Medication Therapy Management programs among Medicare beneficiaries with Alzheimer's disease and related dementias

OBJECTIVE

Previous analysis of policy scenarios reported potential disparities in eligibility in the Medicare Medication Therapy Management (MTM) program. With recently released MTM data, this study aimed to determine if racial/ethnic disparities exist in MTM enrollment among Medicare beneficiaries with Alzheimer's disease and related dementias (ADRD).

METHODS

Medicare claims/records (from 2013-2014 and 2016-2017) linked to the Area Health Resources File were examined. Included individuals were patients with ADRD and diabetes, hypertension or hyperlipidemia. The proportions of MTM enrollment were compared between non-Hispanic White (White) patients and racial/ethnic minority groups in descriptive analysis. Racial/ethnic disparities were then examined using a logistic regression adjusting for patient and community characteristics. Disparities across study periods were compared by estimating a logistic regression model with interaction terms between dummy variables for each racial/ethnic minority group and 2016-2017.

RESULTS

In unadjusted analyses, minorities had higher enrollment proportions than Whites. In 2016-2017, for example, enrollment percentages for Whites, Blacks, Hispanics, Asian/Pacific Islanders (Asians) and Others were respectively 14.44%, 16.71%, 19.83%, 16.66%, and 17.78%. In adjusted analyses, Blacks had lower enrollment odds than Whites within all cohorts. In the entire study sample in 2016-2017, for example, Blacks with ADRD had 9% lower odds of MTM enrollment (odds ratio 0.91, 95% confidence interval [CI] = 0.86-0.97) than Whites. These disparities decreased over time among the ADRD sample and all sub-groups. The interaction term between Blacks and 2016-2017, for instance, indicated that disparities were lowered by 11% (odds ratio 1.11, 95% CI = 1.05-1.16) across study periods among those with ADRD.

CONCLUSIONS

Blacks with ADRD, and diabetes, hypertension or hyperlipidemia have lower likelihood of MTM enrollment than Whites. Racial disparities were reduced over time but not eliminated.

Racial Disparities in Hospitalization Among Patients Who Receive a Diagnosis of Acute Coronary Syndrome in the Emergency Department

Background Timely hospitalization of patients who are diagnosed with an acute coronary syndrome (ACS) at the emergency department (ED) is a crucial step to lower the risk of ACS mortality. We examined whether there are racial and ethnic differences in the risk of being discharged home among patients who received a diagnostic code of ACS at the ED and whether having health insurance plays a role. Methods and Results We examined 51 022 910 discharge records of ED visits in Florida, New York, and Utah in the years 2008, 2011, 2014, and 2016/2017 using state-specific data from the Healthcare Cost and Utilization Project. We identified ED admissions for acute myocardial infarction or unstable angina using the International Classification of Diseases, Ninth Revision (ICD-9)/International Statistical Classification of Diseases, Tenth Revision (ICD-10) diagnostic codes. We used generalized estimating equation models to compare the risk of being discharged home across racial and ethnic groups. We used Poisson marginal structural models to estimate the mediating role of health insurance status. The proportion discharged home with a diagnostic code of ACS was 12% among Black patients, 6% among White patients, 9% among Hispanic patients, and 9% among Asian/Pacific Islander patients. The incidence risk ratio for being discharged home was 1.26 (95% CI, 1.18-1.34) in Black patients, 1.23 (95% CI, 1.15-1.32) in Hispanic patients, and 1.11 (95% CI, 0.93-1.31) in Asian/Pacific Islander patients compared with White patients. Race and ethnicity were marginally associated with discharge home via pathways not mediated by health insurance. Conclusions Racial and ethnic disparities exist in the hospitalization of patients who received a diagnostic code of ACS in the ED. Possible causes need to be investigated.

Changes in Health and Quality of Life in US Skilled Nursing Facilities by COVID-19 Exposure Status in 2020

Importance

During the COVID-19 pandemic, the US federal government required that skilled nursing facilities (SNFs) close to visitors and eliminate communal activities. Although these policies were intended to protect residents, they may have had unintended negative effects.

Objective

To assess health outcomes among SNFs with and without known COVID-19 cases.

Design, Setting, and Participants

This retrospective observational study used US Medicare claims and Minimum Data Set 3.0 for January through November in each year beginning in 2018 and ending in 2020 including 15 477 US SNFs with 2 985 864 resident-years.

Exposures

January through November of calendar years 2018, 2019, and 2020. COVID-19 diagnoses were used to assign SNFs into 2 mutually exclusive groups with varying membership by month in 2020: active COVID-19 (≥1 COVID-19 diagnosis in the current or past month) or no-known COVID-19 (no observed diagnosis by that month).

Main Outcomes and Measures

Monthly rates of mortality, hospitalization, emergency department (ED) visits, and monthly changes in activities of daily living (ADLs), body weight, and depressive symptoms. Each SNF in 2018 and 2019 served as its own control for 2020.

Results

In 2018-2019, mean monthly mortality was 2.2%, hospitalization 3.0%, and ED visit rate 2.9% overall. In 2020, among active COVID-19 SNFs compared with their own 2018-2019 baseline, mortality increased by 1.60% (95% CI, 1.58% to 1.62%), hospitalizations decreased by 0.10% (95% CI, -0.12% to -0.09%), and ED visit rates decreased by 0.57% (95% CI, -0.59% to -0.55%). Among no-known COVID-19 SNFs, mortality decreased by 0.15% (95% CI, -0.16% to -0.13%), hospitalizations by 0.83% (95% CI, -0.85% to -0.81%), and ED visits by 0.79% (95% CI, -0.81% to -0.77%). All changes were statistically significant. In 2018-2019, across all SNFs, residents required assistance with an additional 0.89 ADLs between January and November, and lost 1.9 lb; 27.1% had worsened depressive symptoms. In 2020, residents in active COVID-19 SNFs required assistance with an additional 0.36 ADLs (95% CI, 0.34 to 0.38), lost 3.1 lb (95% CI, -3.2 to -3.0 lb) more weight, and were 4.4% (95% CI, 4.1% to 4.7%) more likely to have worsened depressive symptoms, all statistically significant changes. In 2020, residents in no-known COVID-19 SNFs had no significant change in ADLs (-0.06 [95% CI, -0.12 to 0.01]), but lost 1.8 lb (95% CI, -2.1 to -1.5 lb) more weight and were 3.2% more likely (95% CI, 2.3% to 4.1%) to have worsened depressive symptoms, both statistically significant changes.

Conclusions and Relevance

Among skilled nursing facilities in the US during the first year of the COVID-19 pandemic and prior to the availability of COVID-19 vaccination, mortality and functional decline significantly increased at facilities with active COVID-19 cases compared with the prepandemic period, while a modest statistically significant decrease in mortality was observed at facilities that had never had a known COVID-19 case. Weight loss and depressive symptoms significantly increased in skilled nursing facilities in the first year of the pandemic, regardless of COVID-19 status.

Trends In Mental Health Care Delivery By Psychiatrists And Nurse Practitioners In Medicare, 2011-19

The supply of psychiatrists in the United States is inadequate to address the unmet demand for mental health care. Psychiatric mental health nurse practitioners (PMHNPs) may fill the widening gap between supply of and demand for mental health specialists with prescribing privileges. Using Medicare claims for a 100 percent sample of fee-for-service beneficiaries (average age, sixty-one years) who had an office visit for either a psychiatrist or a PMHNP during the period 2011-19, we examined how the supply and use of psychiatrists and PMHNPs changed over time, and we compared their practice patterns. Psychiatrists and PMHNPs treated roughly comparable patient populations with similar services and prescriptions. From 2011 to 2019 the number of PMHNPs treating Medicare beneficiaries grew 162 percent, compared with a 6 percent relative decrease in the number of psychiatrists doing so. During the same period, total annual mental health office visits per 100 beneficiaries decreased 11.5 percent from 27.4 to 24.2, the net result of a 29.0 percent drop in psychiatrist visits being offset by a 111.3 percent increase in PMHNP visits. The proportion of all mental health prescriber visits provided by PMHNPs increased from 12.5 percent to 29.8 percent during 2011-19, exceeding 50 percent in rural, full-scope-of-practice regions. PMHNPs are a rapidly growing workforce that may be instrumental in improving mental health care access.

Use of hospitals in the New York City Metropolitan Region, by race: how separate? How equal in resources and quality?

BACKGROUND

Although racial and ethnic minorities disproportionately use some hospitals, hospital-based racial and ethnic composition relative to geographic region and its association with quality indicators has not been systematically analyzed.

METHODS

We used four race and ethnicity categories: non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic, and Asian/Pacific Islander/Alaskan Native/American Indian (API/AIAN), as well as a combined non-NHW category, from the 2010 (latest year publicly available) Medicare Institutional Provider & Beneficiary Summary public use file for 84 hospitals in the New York City region. We assessed the relative distribution of race and ethnicity across hospitals grouped at different geographic levels (region, county, hospital referral region [HRR], or hospital service areas [HSA]) using the dissimilarity index. Hospital characteristics included quality star ratings, essential professional services and diagnostic/treatment equipment, bed size, total expenses, and patients with dual Medicare and Medicaid enrollment. We assessed Spearman's rank correlation between hospital-based racial and ethnic composition and quality/structural measures.

RESULTS

Dissimilarity Index decreases from region (range 30.3-40.1%) to county (range 13.7-23.5%), HRR (range 10.5-27.5%), and HSA (range 12.0-16.9%) levels. Hospitals with larger non-NHW patients tended to have lower hospital ratings and higher proportions of dually-enrolled patients. They were also more likely to be safety net hospitals and non-federal governmental hospitals.

CONCLUSIONS

In the NYC metropolitan region, there is considerable hospital-based racial and ethnic segregation of Medicare patients among non-NHW populations, extending previous research limited to NHB. Availability of data on racial and ethnic composition of hospitals should be made publicly available for researchers and consumers.

Examining Regional Differences in Nursing Home Palliative Care for Black and Hispanic Residents

Background: Approximately one-quarter of all deaths in the United States occur in nursing homes (NHs). Palliative care has the potential to improve NH end-of-life care, but more information is needed on the provision of palliative care in NHs serving Black and Hispanic residents. Objective: To determine whether palliative care services in United States NHs are associated with differences in the concentrations of Black and Hispanic residents, respectively, and the impact by region. Design: We conducted a cross-sectional analysis. The outcome was NH palliative care services (measured by an earlier national survey); total scores ranged from 0 to 100 (higher scores indicated more services). Other data included the Minimum Data Set and administrative data. The independent variables were concentration of Black and Hispanic residents (i.e., <3%, 3-10%, >10%), respectively, and models were stratified by region (i.e., Northeast, Midwest, South and West). We compared unadjusted, weighted mean palliative care services by the concentration of Black and Hispanic residents and computed NH-level multivariable linear regressions. Setting/Subjects: Eight hundred sixty-nine (weighted n = 15,020) NHs across the United States. Results: Multivariable analyses showed fewer palliative care services provided in NHs with greater concentrations of Black and Hispanic residents. Fewer palliative care services were reported in NHs in the Northeast, for which >10% of the resident population was Black, and NHs in the West for which >10% was Hispanic versus NHs with <3% of the population being Black and Hispanic (-13.7; p < 0.001 and -9.3; p < 0.05, respectively). Conclusion: We observed differences in NH palliative care by region and with greater concentration of Black and Hispanic residents. Our findings suggest that greater investment in NH palliative care services may be an important strategy to advance health equity in end-of-life care for Black and Hispanic residents.

Lost to Follow-Up: A Nationwide Analysis of Patients With Transient Ischemic Attack Discharged From Emergency Departments With Incomplete Imaging

PURPOSE

Imaging guidelines for transient ischemic attack (TIA) recommend that patients undergo urgent brain and neurovascular imaging within 48 hours of symptom onset. Prior research suggests that most patients with TIA discharged from the emergency department (ED) do not complete recommended TIA imaging workup during their ED encounters. The purpose of this study was to determine the nationwide percentage of patients with TIA discharged from EDs with incomplete imaging workup who complete recommended imaging after discharge.

METHODS

Patients discharged from EDs with the diagnosis of TIA were identified from the Medicare 5% sample for 2017 and 2018 using International Classification of Diseases, tenth rev, Clinical Modification codes. Imaging performed was identified using Current Procedural Terminology codes. Incomplete imaging workup was defined as a TIA encounter without cross-sectional brain, brain-vascular, and neck-vascular imaging performed within the subsequent 30 days of the initial ED encounter. Patient- and hospital-level factors associated with incomplete TIA imaging were analyzed in a multivariable logistic regression.

RESULTS

In total, 6,346 consecutive TIA encounters were analyzed; 3,804 patients (59.9%) had complete TIA imaging workup during their ED encounters. Of the 2,542 patients discharged from EDs with incomplete imaging, 761 (29.9%) completed imaging during the subsequent 30 days after ED discharge. Among patients with TIA imaging workup completed after ED discharge, the median time to completion was 5 days. For patients discharged from EDs with incomplete imaging, the odds of incomplete TIA imaging at 30 days after discharge were highest for black (odds ratio, 1.84; 95% confidence interval, 1.27-2.66) and older (≥85 years of age; odds ratio, 2.41; 95% confidence interval, 1.78-3.26) patients. Reference values were age cohort 65 to 69 years; male gender; white race; no co-occurring diagnoses of hypertension, hyperlipidemia, or diabetes mellitus; household income > $63,029; hospital in the Northeast region; urban hospital location; hospital size > 400 beds; academically affiliated hospital; and facility with access to MRI.

CONCLUSIONS

Most patients discharged from EDs with incomplete TIA imaging workup do not complete recommended imaging within 30 days after discharge.

The Assessment of Social Determinants of Health in Postsepsis Mortality and Readmission: A Scoping Review

To summarize knowledge and identify gaps in evidence about the relationship between social determinants of health (SDH) and postsepsis outcomes.

DATA SOURCES

We conducted a comprehensive search of PubMed/Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, and the Cochrane Library.

STUDY SELECTION

We identified articles that evaluated SDH as risk factors for mortality or readmission after sepsis hospitalization. Two authors independently screened and selected articles for inclusion.

DATA EXTRACTION

We dual-extracted study characteristics with specific focus on measurement, reporting, and interpretation of SDH variables.

DATA SYNTHESIS

Of 2,077 articles screened, 103 articles assessed risk factors for postsepsis mortality or readmission. Of these, 28 (27%) included at least one SDH variable. Inclusion of SDH in studies assessing postsepsis adverse outcomes increased over time. The most common SDH evaluated was race/ethnicity (n = 21, 75%), followed by payer type (n = 10, 36%), and income/wealth (n = 9, 32%). Of the studies including race/ethnicity, nine (32%) evaluated no other SDH. Only one study including race/ethnicity discussed the use of this variable as a surrogate for social disadvantage, and none specifically discussed structural racism. None of the studies specifically addressed methods to validate the accuracy of SDH or handling of missing data. Eight (29%) studies included a general statement that missing data were infrequent. Several studies reported independent associations between SDH and outcomes after sepsis discharge; however, these findings were mixed across studies.

CONCLUSIONS

Our review suggests that SDH data are underutilized and of uncertain quality in studies evaluating postsepsis adverse events. Transparent and explicit ontogenesis and data models for SDH data are urgently needed to support research and clinical applications with specific attention to advancing our understanding of the role racism and racial health inequities in postsepsis outcomes.

Racial and ethnic disparities in rifaximin use and subspecialty referrals for patients with hepatic encephalopathy in the United States

BACKGROUND & AIMS

Rifaximin use in combination with lactulose is associated with a decreased risk of overt hepatic encephalopathy (HE). We sought to determine whether race and ethnicity were associated with rifaximin prescriptions.

METHODS

We examined data for a 20% random sample of United States Medicare enrollees with cirrhosis and hepatic encephalopathy treated with outpatient lactulose and Part D prescription coverage from 2011-2019. Beginning at the time of first diagnosis, we evaluated time to first prescription of rifaximin accounting for competing risks (Fine-Gray, yielding subdistribution hazard ratios [sHRs]) and cumulative rifaximin exposure using a gamma hurdle model (yielding exposure length ratios). We aimed to determine the association of race and ethnicity with each outcome, adjusting for demographics, clinical factors, and other features of clinical management.

RESULTS

Overall, 29,095 patients were diagnosed with HE and treated with lactulose, of whom 13,272 were prescribed rifaximin. Compared to White patients, Black patients were least likely to receive any prescription for rifaximin (sHR 0.70; 95% CI 0.65-0.76). Asian and Hispanic patients were also less likely to receive rifaximin compared to White patients. Black patients also received fewer doses of rifaximin (exposure length ratio 0.90; 95% CI 0.82-0.98). Hispanic patients also received fewer doses (0.88; 95% CI 0.80-0.98). Out-of-pocket spending on rifaximin per person-year was higher for Black and Hispanic than White patients. Out-of-pocket medication spending was associated with reduced odds of filling a rifaximin prescription. Black and Hispanic patients were least likely to be referred to a gastroenterologist.

CONCLUSION

In a national cohort of patients with HE, we observed stark racial and ethnic disparities in the use of rifaximin, an approved therapy for the improvement of HE-specific outcomes. Access to gastroenterologists and cost controls may reduce disparities.

LAY SUMMARY

Hepatic encephalopathy is a serious problem that can affect people with cirrhosis. When someone develops hepatic encephalopathy, there are 2 main treatments. The first-line treatment is called lactulose. If episodes of hepatic encephalopathy happen on lactulose, another treatment called rifaximin is recommended. In this study, we found that compared to White patients, Black and Hispanic patients are less likely to be prescribed rifaximin, receive fewer rifaximin refills, spend more on rifaximin, and have less access to subspecialists who are familiar with rifaximin. We conclude that efforts to address the cost of rifaximin and access to gastroenterologists could help improve these disparities.

Differences in Comorbidities Explain Black-White Disparities in Outcomes After Femoropopliteal Endovascular Intervention

BACKGROUND

Black adults have a higher incidence of peripheral artery disease and limb amputations than White adults in the United States. Given that peripheral endovascular intervention (PVI) is now the primary revascularization strategy for peripheral artery disease, it is important to understand whether racial differences exist in PVI incidence and outcomes.

METHODS

Data from fee-for-service Medicare beneficiaries ≥66 years of age from 2016 to 2018 were evaluated to determine age- and sex-standardized population-level incidences of femoropopliteal PVI among Black and White adults over the 3-year study period. Patients' first inpatient or outpatient PVIs were identified through claims codes. Age- and sex-standardized risks of the composite outcome of death and major amputation within 1 year of PVI were examined by race.

RESULTS

Black adults underwent 928 PVIs per 100 000 Black beneficiaries compared with 530 PVIs per 100 000 White beneficiaries (risk ratio, 1.75 [95% CI, 1.73-1.77]; P<0.01). Black adults who underwent PVI were younger (mean age, 74.5 years versus 76.4 years; P<0.01), were more likely to be female (52.8% versus 42.7%; P<0.01), and had a higher burden of diabetes (70.6% versus 56.0%; P<0.01), chronic kidney disease (67.5% versus 56.6%; P<0.01), and heart failure (47.4% versus 41.7%; P<0.01) than White adults. When analyzed by indication for revascularization, Black adults were more likely to undergo PVI for chronic limb-threatening ischemia than White adults (13 023 per 21 352 [61.0%] versus 59 956 per 120 049 [49.9%]; P<0.01). There was a strong association between Black race and the composite outcome at 1 year (odds ratio, 1.21 [95% CI, 1.16-1.25]). This association persisted after adjustment for socioeconomic status (odds ratio, 1.08 [95% CI, 1.03-1.13]) but was eliminated after adjustment for comorbidities (odds ratio, 0.96 [95% CI, 0.92-1.01]).

CONCLUSIONS

Among fee-for-service Medicare beneficiaries, Black adults had substantially higher population-level PVI incidence and were significantly more likely to experience adverse events after PVI than White adults. The association between Black race and adverse outcomes appears to be driven by a higher burden of comorbidities. This analysis emphasizes the critical need for early identification and aggressive management of peripheral artery disease risk factors and comorbidities to reduce Black-White disparities in the development and progression of peripheral artery disease and the risk of adverse events after PVI.

Optimizing Data on Race and Ethnicity for Veterans Affairs Patients

INTRODUCTION

Maintaining accurate race and ethnicity data among patients of the Veterans Affairs (VA) healthcare system has historically been a challenge. This work expands on previous efforts to optimize race and ethnicity values by combining multiple VA data sources and exploring race- and ethnicity-specific collation algorithms.

MATERIALS AND METHODS

We linked VA patient data from 2000 to 2018 with race and ethnicity data from four administrative and electronic health record sources: VA Medical SAS files (MedSAS), Corporate Data Warehouse (CDW), VA Centers for Medicare extracts (CMS), and VA Defense Identity Repository Data (VADIR). To assess the accuracy of each data source, we compared race and ethnicity values to self-reported data from the Survey of Health Experiences of Patients (SHEP). We used Cohen's Kappa to assess overall (holistic) source agreement and positive predictive values (PPV) to determine the accuracy of sources for each race and ethnicity separately.

RESULTS

Holistic agreement with SHEP data was excellent (K > 0.80 for all sources), while race- and ethnicity-specific agreement varied. All sources were best at identifying White and Black users (average PPV = 0.94, 0.93, respectively). When applied to the full VA user population, both holistic and race-specific algorithms substantially reduced unknown values, as compared to single-source methods.

CONCLUSIONS

Combining multiple sources to generate race and ethnicity values improves data accuracy among VA patients. Based on the overall agreement with self-reported data, we recommend using non-missing values from sources in the following order to fill in race values-SHEP, CMS, CDW, MedSAS, and VADIR-and in the following order to fill in ethnicity values-SHEP, CDW, MedSAS, VADIR, and CMS.

Bridge clinic implementation of "72-hour rule" methadone for opioid withdrawal management: Impact on opioid treatment program linkage and retention in care

BACKGROUND

Methadone for opioid use disorder (OUD) treatment is restricted to licensed opioid treatment programs (OTPs) with substantial barriers to entry. Underutilized regulations allow non-OTP providers to administer methadone for opioid withdrawal for up to 72 h while arranging ongoing care. Our low-barrier bridge clinic implemented a new pathway to treat opioid withdrawal and facilitate OTP linkage utilizing the "72-hour rule."

METHODS

Patients presenting to a hospital-based bridge clinic were evaluated for OUD, opioid withdrawal, and treatment goals. Eligible patients were offered methadone opioid withdrawal management with rapid OTP referral. OTPs accepted patients as direct admissions. We described bridge clinic patients who received at least one dose of methadone between March-August 2021 and key clinical outcomes including OTP referral completion within 72 h. For the subset of patients referred to our two primary OTP partners, we described OTP linkage (i.e., attended at least one OTP visit within one month) and OTP retention at one month.

RESULTS

Methadone was administered during 150 episodes of care for 142 unique patients, the majority of whom were male (73%), white (67%), and used fentanyl (85%). In 92% of episodes (138/150), a plan for ongoing care was in place within 72 h. Among 121 referrals to two primary OTP partners, 87% (105/121) linked and 58% (70/121) were retained at one month.

CONCLUSIONS

Methadone administration for opioid withdrawal with direct OTP admission under the "72-hour rule" is feasible in an outpatient bridge clinic and resulted in high OTP linkage and 1-month retention rates. This model has the potential to improve methadone access.

Hospital Characteristics Associated With Heterogeneity in Institutional Postacute Care Spending Reductions Under the Comprehensive Care for Joint Replacement Model

Question

How were hospital characteristics associated with reductions in institutional postacute care spending under the Comprehensive Care for Joint Replacement (CJR) model?

Findings

This cross-sectional study of 531 CJR participating hospitals and 658 control group hospitals did not find strong evidence for significant heterogeneity in how CJR was associated with reductions in institutional postacute care spending across a range of hospital characteristics.

Meaning

Reductions in institutional postacute care spending under the CJR model did not appear concentrated among a single hospital group or characteristics, suggesting that this payment model created opportunities for savings across a spectrum of different hospitals.

Importance

Prior research concluded that institutional postacute care spending decreased under the Comprehensive Care for Joint Replacement (CJR) model. Less is known about how changes in institutional postacute care spending varied across different types of hospitals.

Objective

To measure hospital-level heterogeneity in the association of the CJR model with changes in institutional postacute care spending and to identify hospital characteristics associated with this variation.

Design, Setting, and Participants

Using 100% Medicare claims data, this cross-sectional study assessed institutional postacute care spending from 2016 to 2017 among US hospitals randomly selected to participate in the CJR model and control group hospitals that were eligible but not selected for the participation in the CJR model. A causal forest was used to estimate the treatment effect of the CJR model conditional on hospital characteristics. Analysis was conducted between October 2019 and October 2021.

Main Outcomes and Measures

The unit of analysis was each hospital; the outcome was the average per-episode Medicare spending for institutional postacute care within 90 days after hospital discharge for hip or knee joint replacement.

Results

This study included 531 CJR participating hospitals and 658 control group hospitals from 2016 to 2017. The CJR model was associated with a $761 reduction in institutional postacute care spending (95% CI, −$1172 to −$351). The reduction in spending under the CJR model did not vary across conditional on hospital characteristics. Limited evidence was found for greater savings among hospitals with higher pre-CJR spending. However, this finding did not hold for hospitals in the highest quintile of pre-CJR spending.

Conclusions and Relevance

In this cross-sectional study of 1189 hospitals, findings did not show strong evidence for significant heterogeneity in how the CJR model was associated with reductions in institutional postacute care spending across a range of hospital characteristics. Savings were not concentrated in hospitals with specific characteristics, such as hospitals with high-volume joint replacement or hospitals serving less medically or socially complex patients. Findings suggest that the CJR model created opportunities for savings across a spectrum of different hospitals.

Demographic and Clinical Differences Between Applied Definitions of Medical Complexity

OBJECTIVES

To identify the degree of concordance and characterize demographic and clinical differences between commonly used definitions of multisystem medical complexity in children hospitalized in children's hospitals.

METHODS

We conducted a retrospective, cross-sectional cohort study of children <21 years of age hospitalized at 47 US Pediatric Health Information System-participating children's hospitals between January 2017 to December 2019. We classified patients as having multisystem complexity when using 3 definitions of medical complexity (pediatric complex chronic conditions, pediatric medical complexity algorithm, and pediatric chronic critical illness) and assessed their overlap. We compared demographic, clinical, outcome, cost characteristics, and longitudinal healthcare utilization for each grouping.

RESULTS

Nearly one-fourth (23.5%) of children hospitalized at Pediatric Health Information System-participating institutions were identified as meeting at least 1 definition of multisystem complexity. Children with multisystem complexity ranged from 1.0% to 22.1% of hospitalized children, depending on the definition, with 31.2% to 95.9% requiring an ICU stay during their index admission. Differences were seen in demographic, clinical, and resource utilization patterns across the definitions. Definitions of multisystem complexity demonstrated poor agreement (Fleiss' κ 0.21), with 3.5% of identified children meeting all 3.

CONCLUSIONS

Three definitions of multisystem complexity identified varied populations of children with complex medical needs, with poor overall agreement. Careful consideration is required when applying definitions of medical complexity in health services research, and their lack of concordance should result in caution in the interpretation of research using differing definitions of medical complexity.

Racial and ethnic disparities due to Medicare Part D Star Ratings criteria among kidney transplant patients with diabetes, hypertension, and/or dyslipidemia

BACKGROUND: Policies such as Medicare Part D Star Ratings are designed to encourage medication adherence and facilitate positive health outcomes. Patients who have received a kidney transplant not included in assessment of Star Ratings measures may have worse outcomes. OBJECTIVE: To determine if criteria for inclusion in assessment of Star Ratings medication adherence measures among kidney transplant patients with diabetes, hypertension, and dyslipidemia lead to racial and ethnic disparities in who is included in this assessment. METHODS: This was a cross-sectional, secondary analysis of 94,822 adult kidney transplant patients receiving continuous coverage of Medicare Parts A/B/D and filling at least 1 prescription for diabetes, hypertension, or dyslipidemia in 2017. Utilizing 2017 Medicare claims, inclusion in assessment of Star Ratings measures was determined based on criteria for each measure concerning adherence to oral diabetes, hypertension, and dyslipidemia medication. Binary and multinomial logistic regression were conducted. RESULTS: Among kidney transplant patients with diabetes only, Black and Hispanic patients were less likely than White patients to be included in assessment of the Star Ratings adherence measure for oral diabetes medications (P < 0.0001). Among kidney transplant patients with hypertension only and dyslipidemia only, all racial and ethnic minority groups were less likely to be included in assessments of Star Ratings adherence measures for oral hypertension and dyslipidemia medications (P < 0.001). For example, among patients with hypertension, adjusted odds ratios for inclusion of Black, Hispanic, and Asian patients were 0.44 (95% CI = 0.40-0.49), 0.56 (95% CI = 0.49-0.63), and 0.55 (95% = CI 0.45-0.67), respectively. CONCLUSIONS: Disparities exist among patients who have received a kidney transplant qualifying for inclusion in Star Ratings measures, which may ultimately facilitate adverse health outcomes. DISCLOSURES: Marie Chisholm-Burns is a member of the American Society of Transplantation Board of Directors. Christina Spivey has no conflicts of interest to disclose. Chi Chun Tsang has no conflicts of interest to disclose. Junling Wang received funding for this project from the National Institute on Aging/National Institutes of Health; she has also received funding from AbbVie and Pharmaceutical Research and Manufacturers of America (additionally, she has received consulting fees from the latter). Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under Award Number R01AG049696 (Principal Investigator: Junling Wang). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The sponsor of the research does not have any role in any aspect of the research, including study design and the collection, analysis, and interpretation of data; the writing of the report; and the decision to submit the manuscript for publication.