The validity of race and ethnicity in enrollment data for Medicare beneficiaries

Acute work-related injuries among older adults in the USA on Medicare, 2016-2019: a national longitudinal study

OBJECTIVES

Work-related injuries are only partially captured for older workers in the USA, likely due to low sensitivity of traditional data sources, such as workers' compensation, to capture non-fatal incidents. Using claims from Medicare, the primary health insurance of most US adults after age 65, we identified and described work-related injuries among Medicare enrollees aged 65 years and older.

METHODS

We identified injury claims from 2016 to 2019 Medicare inpatient and outpatient claims for aged 65+ Medicare fee-for-service enrollees. We then identified work-related injury claims using ICD-10-CM external cause codes and employment-related and workers' compensation codes used in Medicare claims processing. We calculated annual rates of work-related injuries among aged 65+ Medicare fee-for-service enrollees. We described demographics, injuries and their mechanisms, and healthcare encounter characteristics of Medicare enrollees with work-related injuries.

RESULTS

From 2016 to 2019, the average annual rate of work-related injuries was 27.6 per 100 000 Medicare fee-for-service enrollees aged 65+. Injury claims were most often for outpatient emergency department (ED) visits (58%), followed by non-ED outpatient visits (20%) and hospitalisations (19%). Falls, transportation and machinery-related mechanisms of injury each accounted for approximately 20% of injuries.

CONCLUSIONS

Using the mechanism of injury, employment-related and workers' compensation codes, Medicare claims can be used to identify work-related injuries. Most work-related injuries appear in outpatient settings, although hospitalisations involve the most extensive care. Future research should validate and expand these methods, drawing on the depth of information in Medicare claims data to explore costs and health outcomes of work-related injuries in older populations.

Associations Between Measures of Structural Racism and Receipt of Acute Ischemic Stroke Interventions in the United States

BACKGROUND

Structural racism and rural/urban differences in stroke care affect care delivery and outcomes. We explored the interplay among structural racism, urbanity, and intravenous thrombolysis (tissue plasminogen activator) and endovascular thrombectomy (ET).

METHODS AND RESULTS

In this retrospective study using complete, deidentified inpatient Medicare data (2016-2019), we identified incident acute ischemic stroke admissions, demographics, and hospital-level variables. Medicare beneficiaries aged ≥65 years with incident acute ischemic stroke admission in large metropolitan and nonurban settings were included. Validated structural racism metrics at the county level and a composite structural racism score that incorporated measures of segregation, housing, employment, education, and income were studied. Among 951 914 patients, rural hospitals demonstrated lower intensive care unit capacity (27.5% versus 88.6%), stroke certification (5.3% versus 38.4%), and rates of tissue plasminogen activator (1.6% versus 12.3%) and ET (<1% versus 3.8%). Large metropolitan areas demonstrated higher levels of income inequality (Gini index -0.15 versus 0.11 SD), and racial segregation (dissimilarity index 0.29 SD higher than the US mean). The composite structural racism score was associated with increased odds of tissue plasminogen activator receipt (odds ratio, 1.47 [95% CI, 1.33-1.63]) and ET (odds ratio, 4.15 [95% CI, 2.98-5.79]). Despite greater access to stroke care in urban areas, a persistent racial disparity remained, with Black patients less likely to receive tissue plasminogen activator (odds ratio, 0.70 [95% CI, 0.68-0.72]) and ET (odds ratio, 0.63 [95% CI, 0.60-0.66]) compared with White patients.

CONCLUSIONS

We found persistent disparities in stroke care access and outcomes, influenced by structural racism and rural-urban differences. Further research should explore interactions between structural racism, urbanity, and health care delivery to inform effective interventions.

Consistency in Self-Reported Race-and-Ethnicity Over Time: Implications for Improving the Accuracy of Imputations and Making the Best Use of Self-Report

BACKGROUND

Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity.

OBJECTIVES

To assess whether temporal inconsistency of self-reported race-and-ethnicity might limit improvements in approaches like MBISG.

METHODS

Using the Medicare Health Outcomes Survey (HOS) baseline (2013-2018) and 2-year follow-up data (2015-2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group. We compare the consistency of self-reported race-and-ethnicity (HOS) to the accuracy of MBISG (using 2021 Medicare Consumer Assessment of Healthcare Providers and Systems data).

RESULTS

Concordance (C-statistic) of HOS baseline and follow-up self-reported race-and-ethnicity was 0.95-0.97 for AA&NHPI, Black, Hispanic, and White, 0.83 for AI/AN, and 0.72 for Multiracial using mutually exclusive categories (weighted concordance=0.956). Concordance of MBISG with self-report followed a similar pattern and had similar values, with somewhat lower AI/AN and Multiracial values. The concordance of individual endorsements over time was somewhat higher than for classification (weighted concordance=0.975).

CONCLUSIONS

The concordance of MBISG with self-reported race-and-ethnicity appears to be limited by the consistency of self-report for some racial-and-ethnic groups when employing the 6-mutually-exclusive category approach. The use of individual endorsements can improve the consistency of self-reported data. Reconfiguring algorithms such as MBISG in this form could improve its overall performance.

Understanding the quality of ethnicity data recorded in health-related administrative data sources compared with Census 2021 in England

BACKGROUND

Electronic health records (EHRs) are increasingly used to investigate health inequalities across ethnic groups. While there are some studies showing that the recording of ethnicity in EHR is imperfect, there is no robust evidence on the accuracy between the ethnicity information recorded in various real-world sources and census data.

METHODS AND FINDINGS

We linked primary and secondary care NHS England data sources with Census 2021 data and compared individual-level agreement of ethnicity recording in General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR), Hospital Episode Statistics (HES), Ethnic Category Information Asset (ECIA), and Talking Therapies for anxiety and depression (TT) with ethnicity reported in the census. Census ethnicity is self-reported and, therefore, regarded as the most reliable population-level source of ethnicity recording. We further assessed the impact of multiple approaches to assigning a person an ethnic category. The number of people that could be linked to census from ECIA, GDPPR, HES, and TT were 47.4m, 43.5m, 47.8m, and 6.3m, respectively. Across all 4 data sources, the White British category had the highest level of agreement with census (≥96%), followed by the Bangladeshi category (≥93%). Levels of agreement for Pakistani, Indian, and Chinese categories were ≥87%, ≥83%, and ≥80% across all sources. Agreement was lower for Mixed (≤75%) and Other (≤71%) categories across all data sources. The categories with the lowest agreement were Gypsy or Irish Traveller (≤6%), Other Black (≤19%), and Any Other Ethnic Group (≤25%) categories.

CONCLUSIONS

Certain ethnic categories across all data sources have high discordance with census ethnic categories. These differences may lead to biased estimates of differences in health outcomes between ethnic groups, a critical data point used when making health policy and planning decisions.

Fractures by race and ethnicity in a diverse sample of postmenopausal women: a current evaluation among Hispanic and Asian origin groups

Using 1998-2022 Women's Health Initiative (WHI) data, our study provides contemporary fracture data by race and ethnicity, specifically focusing on Hispanic and Asian women. Fractures of interest included any clinical, hip, and major osteoporotic fractures (MOFs). We utilized the updated race and ethnicity information collected in 2003, which included seven Asian and five Hispanic origin groups. We computed crude and age-standardized fracture incidence rates per 10 000 woman-years across race and ethnic categories and by Asian and Hispanic origin. We used Cox proportional hazards model, adjusting for age and WHI clinical trial arm, to evaluate the risk of fracture (1) by race compared to White women, (2) Asian origin compared to White women, (3) Hispanic compared to non-Hispanic women, and (4) Asian and Hispanic origins compared the most prevalent origin group. Over a median (interquartile range) follow-up of 19.4 (9.2-24.2) years, 44.2% of the 160 824 women experienced any clinical fracture, including 36 278 MOFs and 8962 hip fractures. Compared to White women, Black, Pacific Islander, Asian, and multiracial women had significantly lower risk of any clinical and MOFs, while only Black and Asian women had significantly lower hip fracture risk. Within Asian women, Filipina women had 24% lower risk of any clinical fracture compared to Japanese women. Hispanic women had significantly lower risk of any clinical, hip, and MOF fractures compared to non-Hispanic women, with no differences in fracture risk observed within Hispanic origin groups. In this diverse sample of postmenopausal women, we confirmed racial and ethnic differences in fracture rates and risk, with novel findings among within Asian and Hispanic subgroups. These data can aid in future longitudinal studies evaluate contributors to racial and ethnic differences in fractures.

Social Risk Factors and Racial and Ethnic Disparities in Health Care Resource Utilization Among Medicare Advantage Beneficiaries With Psychiatric Disorders

The intersection of social risk and race and ethnicity on mental health care utilization is understudied. This study examined disparities in health care treatment, adjusting for clinical need, among 25,780 Medicare Advantage beneficiaries with a diagnosis of a psychiatric disorder. We assessed contributions to disparities from racial and ethnic differences in the composition and returns of social risk variables. Black and Hispanic beneficiaries had lower rates of mental health outpatient visits than Whites. Assessing composition, Black and Hispanic beneficiaries experienced greater financial, food, and housing insecurity than White beneficiaries, factors associated with greater mental health treatment. Assessing returns, food insecurity was associated with an exacerbation of Hispanic-White disparities. Health care systems need to address the financial, food and housing insecurity of racial and ethnic minority groups with psychiatric disorder. Accounting for racial and ethnic differences in social risk adjustment-based payment reforms has significant implications for provider reimbursement and outcomes.

Risk of Recurrent Stroke and Mortality Among Black and White Patients With Poststroke Depression

BACKGROUND

Poststroke depression (PSD) is a treatable and common complication of stroke that is underdiagnosed and undertreated in minority populations. We compared outcomes of Black and White patients with PSD in the United States to assess whether race is independently associated with the risk of recurrent stroke and mortality.

METHODS

We used deidentified Medicare data from inpatient, outpatient, and subacute nursing facilities for Black and White US patients from January 1, 2016, to December 31, 2019, to perform this retrospective cohort analysis. International Classification of Diseases, Tenth Revision codes were used to identify patients diagnosed with depression within 6 months of index stroke with no depression diagnosis 1-year preceding index stroke. We performed an unadjusted Kaplan-Meier analysis of the cumulative risk of recurrent stroke up to 3 years after index acute ischemic stroke admission and all-cause mortality following acute ischemic stroke stratified by Black and White race. We performed adjusted and reduced Cox regression to calculate hazard ratios for the main predictor of race (Black versus White), for recurrent stroke and all-cause mortality, adjusting for sociodemographic characteristics, comorbidities, characteristics of the hospitalization, and acute stroke interventions.

RESULTS

Of 474 770 Medicare patients admitted with acute index stroke, 443 486 were categorized as either Black or White race and 35 604 fulfilled our criteria for PSD. Within the PSD cohort, 25 451 (71.5%) had no death or recurrent stroke within 6 months and 5592 (15.7%) had no death or readmission of any cause within 6 months. Black patients with PSD had a persistently elevated cumulative risk of recurrent stroke compared with White patients with PSD up to 3 years following acute ischemic stroke (log-rank P=0.0011). In our reduced multivariable model, Black patients had a 19.8% (hazard ratio, 1.198 [95% CI, 1.022-1.405]; P=0.0259) greater risk of recurrent stroke than White patients. The unadjusted cumulative risk of all-cause mortality was higher in this cohort of older White patients with PSD compared with Black patients; however, this difference disappeared with adjustment for age and other cofactors.

CONCLUSIONS

Black patients with PSD face a persistently elevated risk of recurrent stroke compared with White patients but a similar risk of all-cause mortality. Our findings support that black race is an independent predictor of recurrent stroke in patients with PSD and highlight the need to address social determinants of health and systemic racism that impact poststroke outcomes among racial minorities.

Leveraging Ethnic Backgrounds to Improve Collection of Race, Ethnicity, and Language Data

INTRODUCTION

Healthcare disparities may be exacerbated by upstream incapacity to collect high-quality and accurate race, ethnicity, and language (REaL) data. There are opportunities to remedy these data barriers. We present the Denver Health (DH) REaL initiative, which was implemented in 2021.

METHODS

Denver Health is a large safety net health system. After assessing the state of REaL data at DH, we developed a standard script, implemented training, and adapted our electronic health record to collect this information starting with an individual's ethnic background followed by questions on race, ethnicity, and preferred language. We analyzed the data for completeness after REaL implementation.

RESULTS

A total of 207,490 patients who had at least one in-person registration encounter before and after the DH REaL implementation were included in our analysis. There was a significant decline in missing values for race (7.9%-0.5%, p < .001) and for ethnicity (7.6%-0.3%, p < .001) after implementation. Completely of language data also improved (3%-1.6%, p < .001). A year after our implementation, we knew over 99% of our cohort's self-identified race and ethnicity.

CONCLUSIONS

Our initiative significantly reduced missing data by successfully leveraging ethnic background as the starting point of our REaL data collection.

Misracialization of Indigenous people in population health and mortality studies: a scoping review to establish promising practices

Indigenous people are often misracialized as other racial or ethnic identities in population health research. This misclassification leads to underestimation of Indigenous-specific mortality and health metrics, and subsequently, inadequate resource allocation. In recognition of this problem, investigators around the world have devised analytic methods to address racial misclassification of Indigenous people. We carried out a scoping review based on searches in PubMed, Web of Science, and the Native Health Database for empirical studies published after 2000 that include Indigenous-specific estimates of health or mortality and that take analytic steps to rectify racial misclassification of Indigenous people. We then considered the weaknesses and strengths of implemented analytic approaches, with a focus on methods used in the US context. To do this, we extracted information from 97 articles and compared the analytic approaches used. The most common approach to address Indigenous misclassification is to use data linkage; other methods include geographic restriction to areas where misclassification is less common, exclusion of some subgroups, imputation, aggregation, and electronic health record abstraction. We identified 4 primary limitations of these approaches: (1) combining data sources that use inconsistent processes and/or sources of race and ethnicity information; (2) conflating race, ethnicity, and nationality; (3) applying insufficient algorithms to bridge, impute, or link race and ethnicity information; and (4) assuming the hyperlocality of Indigenous people. Although there is no perfect solution to the issue of Indigenous misclassification in population-based studies, a review of this literature provided information on promising practices to consider.

Racial and Ethnic Disparities in Delivery In-Hospital Mortality or Maternal End-Organ Injury: A Multistate Analysis, 2007-2020

Background: In the United States, Black maternal mortality is 2-4 × higher than that of White maternal mortality, with differences also present in severe maternal morbidity and other measures. However, limited research has comprehensively studied multilevel social determinants of health, and their confounding and effect modification on obstetrical outcomes. Materials and Methods: We performed a retrospective multistate analysis of adult inpatient delivery hospitalizations (Florida, Kentucky, Maryland, New Jersey, New York, North Carolina, and Washington) between 2007 and 2020. Multilevel multivariable models were used to test the confounder-adjusted association for race/ethnicity and the binary outcomes (1) in-hospital mortality or maternal end-organ injury and (2) in-hospital mortality only. Stratified analyses were performed to test effect modification. Results: The confounder-adjusted odds ratio showed that Black (1.33, 95% confidence interval [CI]: 1.30-1.36) and Hispanic (1.14, 95% CI: 1.11-1.18) as compared with White patients were more likely to die in-hospital or experience maternal end-organ injury. For Black and Hispanic patients, stratified analysis showed that findings remained significant in almost all homogeneous strata. After statistical adjustment, Black as compared with White patients were more likely to die in-hospital (1.49, 95% CI: 1.21-1.82). Conclusions: Black and Hispanic patients had higher adjusted odds of in-patient mortality and end-organ damage after birth than White patients. Race and ethnicity serve as strong predictors of health care inequality, and differences in outcomes may reflect broader structural racism and individual implicit bias. Proposed solutions require immense and multifaceted active efforts to restructure how obstetrical care is provided on the societal, hospital, and patient level.

Racial Disparities in Lipid Screening Among Patients With Coronary Artery Disease Narrowed in Primary Care Settings Supportive of Nurse Practitioners

Background

Coronary artery disease (CAD) is the most prevalent heart disease in the United States, and it disproportionately affects Black compared to White patients. Regular primary care and dyslipidemia screening and management are essential for optimal CAD care. Nurse practitioners (NPs) increasingly provide primary care services, though unsupportive practice environments may constrain their ability to do so.

Purpose

To examine whether disparities in lipid screening between Black and White patients with CAD were associated with the NP practice environment scores.

Methods

Cross-sectional survey data from NPs in primary care practices and Medicare claims were linked to evaluate outcomes among 111,911 CAD patients (94% White, 6% Black) across 456 primary care practices in four states (California, Florida, New Jersey, and Pennsylvania) in 2016. The NP-Primary Care Organizational Climate Questionnaire, which provides a score on the supportiveness of a respondent's practice, was used to evaluate the NP practice environment. Multilevel regression models that accounted for patient and practice characteristics were used to evaluate the study aim.

Results

Compared to White patients with CAD, Black patients with CAD less frequently received annual lipid screening (77.0% vs. 70.6%; p < .001). In logistic regression models accounting for patient and practice characteristics, for every standard deviation increase in the practice environment score, Black patients experienced a 5% increase in odds of receiving lipid screening.

Conclusion

Investing in the NP practice environment, including increasing NP role visibility and strengthening relationships with physicians and administrators, may narrow racial disparities in CAD management.

The accuracy of race & ethnicity data in US based healthcare databases: A systematic review

BACKGROUND

The availability and accuracy of data on a patient's race/ethnicity varies across databases. Discrepancies in data quality can negatively impact attempts to study health disparities.

METHODS

We conducted a systematic review to organize information on the accuracy of race/ethnicity data stratified by database type and by specific race/ethnicity categories.

RESULTS

The review included 43 studies. Disease registries showed consistently high levels of data completeness and accuracy. EHRs frequently showed incomplete and/or inaccurate data on the race/ethnicity of patients. Databases had high levels of accurate data for White and Black patients but relatively high levels of misclassification and incomplete data for Hispanic/Latinx patients. Asians, Pacific Islanders, and AI/ANs are the most misclassified. Systems-based interventions to increase self-reported data showed improvement in data quality.

CONCLUSION

Data on race/ethnicity that is collected with the purpose of research and quality improvement appears most reliable. Data accuracy can vary by race/ethnicity status and better collection standards are needed.

Retaining Race in Chronic Kidney Disease Diagnosis and Treatment

The best overall measure of kidney function is glomerular filtration rate (GFR) as commonly estimated from serum creatinine concentrations (eGFRcr) using formulas that correct for the higher average creatinine concentrations in Blacks. After two decades of use, these formulas have come under scrutiny for estimating GFR differently in Blacks and non-Blacks. Discussions of whether to include race (Black vs. non-Black) in the calculation of eGFRcr fail to acknowledge that the original race-based eGFRcr provided the same CKD treatment recommendations for Blacks and non-Blacks based on directly (exogenously) measured GFR. Nevertheless, the National Kidney Foundation and the American Society of Nephrology Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease removed race in CKD treatment guidelines and pushed for the immediate adoption of a race-free eGFRcr formula by physicians and clinical laboratories. This formula is projected to negate CKD in 5.51 million White and other non-Black adults and reclassify CKD to less severe stages in another 4.59 million non-Blacks, in order to expand treatment eligibility to 434,000 Blacks not previously diagnosed and to 584,000 Blacks previously diagnosed with less severe CKD. This review examines: 1) the validity of the arguments for removing the original race correction, and 2) the performance of the proposed replacement formula. Excluding race in the derivation of eGFRcr changed the statistical bias from +3.7 to -3.6 ml/min/1.73m2 in Blacks and from +0.5 to +3.9 in non-Blacks, i.e., promoting CKD diagnosis in Blacks at the cost of restricting diagnosis in non-Blacks. By doing so, the revised eGFRcr greatly exaggerates the purported racial disparity in CKD burden. Claims that the revised formulas identify heretofore undiagnosed CKD in Blacks are not supported when studies that used kidney failure replacement therapy and mortality are interpreted as proxies for baseline CKD. Alternatively, a race-stratified eGFRcr (i.e., separate equations for Blacks and non-Blacks) would provide the least biased eGFRcr for both Blacks and non-Blacks and the best medical treatment for all patients.

Racial and ethnic disparities in COVID-19 booster vaccination among U.S. older adults differ by geographic region and Medicare enrollment

Introduction

COVID-19 booster vaccines are highly effective at reducing severe illness and death from COVID-19. Research is needed to identify whether racial and ethnic disparities observed for the primary series of the COVID-19 vaccines persist for booster vaccinations and how those disparities may vary by other characteristics. We aimed to measure racial and ethnic differences in booster vaccine receipt among U.S. Medicare beneficiaries and characterize potential variation by demographic characteristics.

Methods

We conducted a cohort study using CVS Health and Walgreens pharmacy data linked to Medicare claims. We included community-dwelling Medicare beneficiaries aged ≥66 years who received two mRNA vaccine doses (BNT162b2 and mRNA-1273) as of 8/1/2021. We followed beneficiaries from 8/1/2021 until booster vaccine receipt, death, Medicare disenrollment, or end of follow-up (12/31/2021). Adjusted Poisson regression was used to estimate rate ratios (RRs) and 95% confidence intervals (CIs) comparing vaccine uptake between groups.

Results

We identified 11,339,103 eligible beneficiaries (mean age 76 years, 60% female, 78% White). Overall, 67% received a booster vaccine (White = 68.5%; Asian = 67.0%; Black = 57.0%; Hispanic = 53.3%). Compared to White individuals, Black (RR = 0.78 [95%CI = 0.78-0.78]) and Hispanic individuals (RR = 0.72 [95% = CI 0.72-0.72]) had lower rates of booster vaccination. Disparities varied by geographic region, urbanicity, and Medicare plan/Medicaid eligibility. The relative magnitude of disparities was lesser in areas where vaccine uptake was lower in White individuals.

Discussion

Racial and ethnic disparities in COVID-19 vaccination have persisted for booster vaccines. These findings highlight that interventions to improve vaccine uptake should be designed at the intersection of race and ethnicity and geographic location.

Hospitalizations for Alcohol and Opioid Use Disorders in Older Adults: Trends, Comorbidities, and Differences by Gender, Race, and Ethnicity

Background

The prevalence of substance use disorders (SUDs) among adults ages 65 and older has been increasing at a notably high rate in recent years, yet little information exists on hospitalizations for SUDs among this age group. In this study we examined trends in hospitalizations for alcohol use disorders (AUDs) and opioid use disorders (OUDs) among adults 65 and older in the United States, including differences by gender and race/ethnicity.

Methods

We used Medicare claims data for years 2007-2014 from beneficiaries ages 65 and older. We abstracted hospitalization records with an ICD-9 diagnostic code for an AUD or OUD. Hospitalization rates were calculated using population estimates from the United States Census. We examined trends in quarterly hospitalization rates for hospitalizations with AUD/OUD as primary diagnoses, and separately for those with these disorders as secondary diagnoses. We also examined comorbidities for those with a primary diagnosis of AUD/OUD. Analyses were conducted for all hospitalizations with AUD/OUD diagnoses, and separately by gender and race/ethnicity.

Results

Between the last quarter of 2007 and the third quarter of 2014, AUD hospitalization rates increased from 485 to 579 per million (19%), and OUD hospitalization rates from 46 to 101 per million (120%) and varied by gender (for AUD) and race/ethnicity (for both AUD and OUD). Hospitalization rates were particularly high for Black older adults, as was the increase in hospitalization rates. The increase in hospitalization rates was substantially higher for hospitalizations with AUD (84%) and OUD (269%) as secondary diagnoses.

Conclusions

Hospitalizations for AUDs and OUDs among older adults increased at an alarming rate during the observation period, and disparities existed in hospitalization rates for these conditions. Interventions focusing on the needs of older adults with AUD and/or OUD are needed, particularly to address the needs of a growing racially/ethnically diverse older adult population.

The Contribution of First-name Information to the Accuracy of Racial-and-Ethnic Imputations Varies by Sex and Race-and-Ethnicity Among Medicare Beneficiaries

BACKGROUND

Data on race-and-ethnicity that are needed to measure health equity are often limited or missing. The importance of first name and sex in predicting race-and-ethnicity is not well understood.

OBJECTIVE

The objective of this study was to compare the contribution of first-name information to the accuracy of basic and more complex racial-and-ethnic imputations that incorporate surname information.

RESEARCH DESIGN

We imputed race-and-ethnicity in a sample of Medicare beneficiaries under 2 scenarios: (1) with only sparse predictors (name, address, sex) and (2) with a rich set (adding limited administrative race-and-ethnicity, demographics, and insurance).

SUBJECTS

A total of 284,627 Medicare beneficiaries who completed the 2014 Medicare Consumer Assessment of Healthcare Providers and Systems survey and reported race-and-ethnicity were included.

RESULTS

Hispanic, non-Hispanic Asian/Pacific Islander, and non-Hispanic White racial-and-ethnic imputations are more accurate for males than females under both sparse-predictor and rich-predictor scenarios; adding first-name information increases accuracy more for females than males. In contrast, imputations of non-Hispanic Black race-and-ethnicity are similarly accurate for females and males, and first names increase accuracy equally for each sex in both sparse-predictor and rich-predictor scenarios. For all 4 racial-and-ethnic groups, incorporating first-name information improves prediction accuracy more under the sparse-predictor scenario than under the rich-predictor scenario.

CONCLUSION

First-name information contributes more to the accuracy of racial-and-ethnic imputations in a sparse-predictor scenario than in a rich-predictor scenario and generally narrows sex gaps in accuracy of imputations.

Considerations for the Use of Race in Research in Obstetrics and Gynecology

The race variable in research has been the topic of debate in both research and clinical realms. The tension surrounding the discourse of the use of race in research stem from the difficulties in defining race, the limitations of the variable, and the implications for health and racial equity. In this review, we dissect the challenges faced when incorporating race into research and offer a guide for incorporating race in research in a manner that promotes racial and health equity.

Effects of Medicare comprehensive medication review on racial/ethnic disparities in nonadherence to statin medications among patients with Alzheimer's Disease: an observational analysis

Background

Alzheimer’s Disease (AD) is the mostcommon cause of dementia, a neurological disorder characterized by memory loss and judgment impairment. Hyperlipidemia, a commonly co-occurring condition, should be treated to prevent associated complications. Medication adherence may be difficult for individuals with AD due to the complexity of AD management. Comprehensive Medication Reviews (CMRs), a required component of Medicare Part D Medication Therapy Management (MTM), have been shown to improve medication adherence. However, many MTM programs do not target AD. Additionally, racial/ethnic disparities in MTM eligibility have been revealed. Thus, this study examined the effects of CMR receipt on reducing racial/ethnic disparities in the likelihood of nonadherence to hyperlipidemia medications (statins) among the AD population.

Methods

This retrospective study used 2015-2017 Medicare data linked to the Area Health Resources Files. The likelihood of nonadherence to statin medications across racial/ethnic groups was compared between propensity-score-matched CMR recipients and non-recipients in a ratio of 1 to 3. A difference-in-differences method was utilized to determine racial/ethnic disparity patterns using a logistic regression by including interaction terms between dummy variables for CMR receipt and each racial/ethnic minority group (non-Hispanic Whites, or Whites, as reference).

Results

The study included 623,400 Medicare beneficiaries. Blacks and Hispanics had higher statin nonadherence than Whites: Compared to Whites, Blacks’ nonadherence rate was 4.53% higher among CMR recipients and 7.35% higher among non-recipients; Hispanics’ nonadherence rate was 2.69% higher among CMR recipients and 7.38% higher among non-recipients. Differences in racial/ethnic disparities between CMR recipients and non-recipients were significant for each minority group (p < 0.05) except Others. The difference between Whites and Hispanics in the odds of statin nonadherence was 11% lower among CMR recipients compared to non-recipients (OR = 0.89; 95% Confidence Interval = 0.85-0.94 for the interaction term between dummy variables for CMR and Hispanics). Interaction terms between dummy variables for CMR and other racial/ethnic minorities were not significant.

Conclusions

Receiving a CMR was associated with a disparity reduction in nonadherence to statin medications between Hispanics and Whites among patients with AD. Strategies need to be explored to increase the number of MTM programs that target AD and promote CMR completion.

The impact of Long-Term PM2.5 constituents and their sources on specific causes of death in a US Medicare cohort

BACKGROUND

Our understanding of the impact of long-term exposures to PM_2.5 constituents and sources on mortality is limited.

OBJECTIVES

To examine associations between long-term exposures to PM_2.5 constituents and sources and cause-specific mortality in US older adults.

METHODS

We obtained demographic and mortality data for 15.4 million Medicare beneficiaries living within the conterminous United States (US) between 2000 and 2008. We assessed PM_2.5 constituents exposures for each beneficiary and used factor analysis and residual-based methods to characterize PM_2.5 sources and mixtures, respectively. In age-, sex-, race- and site- stratified Cox proportional hazard models adjusted for neighborhood socio-economic status (SES), we assessed associations of individual PM_2.5 constituents, sources, and mixtures and cause-specific mortality and examined modification of these associations by participant demographics and location of residence. We assessed the robustness of our findings to additional adjustment for behavioral risk factors and to alternate exposure definitions and exposure windows.

RESULTS

Hazard ratios (HR) were highest for all causes of death, except COPD, for PM_2.5 constituents and the coal combustion-related PM_2.5 components, with no evidence of confounding by behavioral covariates. We further found Pb and metal-related PM_2.5 components to be significantly associated with increased HR of all causes of death, except COPD and lung cancer mortality, and nitrate (NO₃^-) and silicon (Si) and associated source-related PM_2.5 components (traffic and soil, respectively) to be significantly associated with increased all-cause, CVD, respiratory and all cancer-related mortality HR. Associations for other examined constituents and mortality were inconsistent or largely null. Our analyses of mixtures were generally consistent with these findings. Mortality HRs were greatest for minority, especially Black, low-income urban, younger, and male beneficiaries.

DISCUSSION

PM_2.5 components related to coal combustion, traffic, and to a lesser extent, soil were strongly associated with mortality from CVD, respiratory disease, and cancer.

Evaluating the Contribution of Patient-Provider Communication and Cancer Diagnosis to Racial Disparities in End-of-Life Care Among Medicare Beneficiaries

BACKGROUND

The quality of end-of-life (EOL) care in the USA remains suboptimal, with significant variations in care by race and across disease subgroups. Patient-provider communication may contribute to racial and disease-specific variations in EOL care outcomes.

OBJECTIVE

We examined racial disparities in EOL care, by disease group (cancer vs. non-cancer), and assessed whether racial differences in patient-provider communication accounted for observed disparities.

DESIGN

Retrospective cohort study using the 2001-2015 Surveillance, Epidemiology, and End Results - Consumer Assessment of Healthcare Providers and Systems data linked with Medicare claims (SEER-CAHPS). We employed stratified propensity score matching and modified Poisson regression analyses, adjusting for clinical and demographic characteristics PARTICIPANTS: Black and White Medicare beneficiaries 65 years or older with cancer (N=2000) or without cancer (N=11,524).

MAIN MEASURES

End-of-life care measures included hospice use, inpatient hospitalizations, intensive care unit (ICU) stays, and emergency department (ED) visits, during the 90 days prior to death.

KEY RESULTS

When considering all conditions together (cancer + non-cancer), Black beneficiaries were 26% less likely than their Whites counterparts to enroll in hospice (adjusted risk ratio [ARR]: 0.74, 95%CI: 0.66-0.83). Among beneficiaries without cancer, Black beneficiaries had a 32% lower likelihood of enrolling in hospice (ARR: 0.68, 95%CI: 0.59-0.79). There was no racial difference in hospice enrollment among cancer patients. Black beneficiaries were also at increased risk for ED use (ARR: 1.12, 95%CI: 1.01-1.26). Patient-provider communication did not explain racial disparities in hospice or ED use. There were no racial differences in hospitalizations or ICU admissions.

CONCLUSION

We observed racial disparities in hospice use and ED visits in the 90 days prior to death among Medicare beneficiaries; however, hospice disparities were largely driven by patients without cancer. Condition-specific differences in palliative care integration at the end-of-life may partly account for variations in EOL care disparities across disease groups.

Beyond Black and White: Mapping Misclassification of Medicare Beneficiaries Race and Ethnicity

The Centers for Medicare and Medicaid Services administrative data contains two variables that are used for research and evaluation of health disparities: the enrollment database (EDB) beneficiary race code and the Research Triangle Institute (RTI) race code. The objective of this article is to examine state-level variation in racial/ethnic misclassification of EDB and RTI race codes compared with self-reported data collected during home health care. The study population included 4,231,370 Medicare beneficiaries who utilized home health care services in 2015. We found substantial variation between states in Medicare administrative data misclassification of self-identified Hispanic, Asian American/Pacific Islander, and American Indian/Alaska Native beneficiaries. Caution should be used when interpreting state-level health care disparities and minority health outcomes based on existing race variables contained in Medicare data sets. Self-reported race/ethnicity data collected during routine care of Medicare beneficiaries may be used to improve the accuracy of minority health and health disparities reporting and research.

Unveiling an 'invisible population': health, substance use, sexual behavior, culture, and discrimination among urban American Indian/Alaska Native adolescents in California

Objectives: There are limited public health data on urban American Indian/Alaska Native (AI/AN) populations, particularly adolescents. The current study attempted to address gaps by providing descriptive information on experiences of urban AI/AN adolescents across northern, central, and southern California.Design: We describe demographics and several behavioral health and cultural domains, including: alcohol and other drug (AOD) use, risky sexual behavior, mental and physical health, discrimination experiences, involvement in traditional practices, and cultural pride and belonging. We recruited 185 urban AI/AN adolescents across northern, central, and southern California from 2014 to 2017 who completed a baseline survey as part of a randomized controlled intervention trial.Results: Average age was 15.6 years; 51% female; 59% of adolescents that indicated AI/AN descent also endorsed another race or ethnicity. Rates of AOD use in this urban AI/AN sample were similar to rates for Monitoring the Future. About one-third of adolescents reported ever having sexual intercourse, with 15% reporting using alcohol or drugs before sex. Most reported good mental and physical health. Most urban AI/AN adolescents participated in traditional practices, such as attending Pow Wows and learning their tribal history. Adolescents also reported discrimination experiences, including being a victim of racial slurs and discrimination by law enforcement.Conclusions: This study describes a select sample of California urban AI/AN adolescents across several behavioral health and cultural domains. Although these adolescents reported numerous discrimination experiences and other stressors, findings suggest that this sample of urban AI/AN teens may be particularly resilient with regard to behavioral health.

Association of Medicare Advantage Star Ratings With Racial, Ethnic, and Socioeconomic Disparities in Quality of Care

Importance

Medicare Advantage (MA) plans, which disproportionately enroll racial/ethnic minorities and persons with socioeconomic disadvantage, receive bonus payments on the basis of overall performance on a 5-star rating scale. The association between plans' overall quality and disparities in quality is not well understood.

Objective

To examine the association between MA star ratings and disparities in care for racial/ethnic minorities and enrollees with lower income and educational attainment.

Design Setting and Participants

This cross-sectional study included 1 578 564 MA enrollees from 454 contracts across the 2015 and 2016 calendar years. Data analyses were conducted between June 2019 and June 2020.

Exposures

Self-reported race and ethnicity and low socioeconomic status (SES) (defined by low income or less than a high school education) vs high SES (neither low income nor low educational attainment).

Main Outcomes and Measures

Performance on 22 measures of quality and satisfaction determined at the individual enrollee level, aggregated into simulated star ratings (scale, 2-5) stratified by SES and race/ethnicity.

Results

A total of 1 578 564 enrollees were included in this analysis (55.8% female; mean [SD] age, 71.4 [11.3] years; 65.8% White; 12.3% Black; 14.6% Hispanic). Enrollees with low SES had simulated stratified star ratings 0.5 stars lower (95% CI, 0.4-0.6 stars) than individuals with high SES in the same contract. Black and Hispanic enrollees had simulated star ratings that were 0.3 stars (95% CI, 0.2-0.4 stars) and 0.1 stars (95% CI, -0.04 to 0.2 stars) lower than White enrollees within the same contracts. Black enrollees had a 0.4-star lower rating (95% CI, 0.1-0.7 stars) in 4.5- to 5-star contracts and a no statistical difference in 2.0- to 2.5-star-rated contracts (difference, 0.3 stars; 95% CI, -0.02 to 0.7 stars). Hispanic enrollees had a 0.6-star lower simulated rating (95% CI, 0.2-1.0 stars) in 4.5- to 5-star contracts and no statistical difference in 2- to 2.5-star contracts (difference, -0.01 stars; 95% CI, -0.5 to 0.4 stars). There was low correlation between simulated ratings for enrollees of low SES and high SES (difference, 0.2 stars; 95% CI, 0.03-0.4 stars) and between simulated ratings for White and Black enrollees (difference, 0.4 stars; 95% CI, 0.3-0.5 stars) and White and Hispanic enrollees (difference, 0.3 stars; 95% CI, 0.2-0.4 stars). As the proportion of Black and Hispanic enrollees increased in a contract, racial/ethnic disparities in ratings decreased.

Conclusions and Relevance

In this cross-sectional study, simulated MA star ratings were only weakly correlated with those for enrollees of low SES in the same contract, and contracts with higher star ratings had larger disparities in quality. Measures of equity in MA plans' quality of care may be needed.

Medication Use Among Patients With COVID-19 in a Large, National Dataset: Cerner Real-World Data™

PURPOSE

The outbreak of coronavirus disease 2019 (COVID-19) required clinicians to use knowledge of therapeutic mechanisms of established drugs to piece together treatment regimens. The purpose of this study is to examine the trends in medication use among patients with COVID-19 across the United States using a national dataset.

METHODS

We conducted a cross-sectional study of the COVID-19 cohort in the Cerner Real-World Data warehouse, which includes deidentified patient information for encounters associated with COVID-19 from December 1, 2019, through June 30, 2020. The primary variables of interest were medications given to patients during their inpatient COVID-19 treatment. We also identified demographic characteristics, calculated the proportion of patients with each medication, and stratified data by demographic variables.

FINDINGS

Our sample included 51,169 inpatients from every region of the United States. Males and females were equally represented, and most patients were white and non-Hispanic. The largest proportion of patients were older than 45 years. Corticosteroids were used the most among all patients (56.5%), followed by hydroxychloroquine (17.4%), tocilizumab (3.1%), and lopinavir/ritonavir (1.1%). We found substantial variation in medication use by region, race, ethnicity, sex, age, and insurance status.

IMPLICATIONS

Variations in medication use are likely attributable to multiple factors, including the timing of the pandemic by region in the United States and processes by which medications are introduced and disseminated. This study is the first of its kind to assess trends in medication use in a national dataset and is the first large, descriptive study of pharmacotherapy in hospitalized patients with COVID-19. It provides an important glimpse into prescribing patterns during a pandemic.

Racial/Ethnic Differences in Receipt of Oral Health Services in Medical and Dental Offices: Impact of Medicaid Policies on Young Children

Purpose: The purpose of this study was to examine receipt of preventive oral health services (POHS) by race/ethnicity for young Medicaid-enrollees following the enactment of state policies enabling medical providers to deliver POHS. Methods: Using Medicaid data (2006 to 2014) from 38 states for 8,711,192 child-years (aged six months to five years), logistic regressions were used to examine differences within and between racial/ethnic groups (white, black, Hispanic, and "other" race/ethnicity groups) in terms of adjusted probabilities of receiving POHS in medical offices or any medical or dental offices. Models were adjusted for years since policy enactment and estimated separately for states with and without requirements that medical providers obtain POHS training. Results: Receipt of any POHS was 10.9 percentage points higher for Hispanic children and 4.7 percentage points higher for "other" race/ethnicity group children than white children after five or more years of policy enactment in states with training requirements (P<0.05). Findings for medical POHS and states without training requirements were similar but smaller in magnitude. Conclusions: Hispanic and "other" race/ethnicity group children benefitted more from the integration of POHS into medical offices than white children. Policies enabling delivery of POHS in medical offices increased receipt of POHS among some minority groups and may help to reduce disparities.

Racial/Ethnic Disparities in Interhospital Transfer for Conditions With a Mortality Benefit to Transfer Among Patients With Medicare

IMPORTANCE

Interhospital transfer (IHT) of patients is a common occurrence in modern health care. Racial/ethnic disparities are prevalent throughout US health care, but their presence in IHT is not well characterized.

OBJECTIVE

To determine if there are racial/ethnic disparities in IHT for medical diagnoses for which IHT is associated with a mortality benefit.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional analysis used 2013 data from the Center for Medicare & Medicaid Services 100% Master Beneficiary Summary and Inpatient Claims merged with 2013 American Hospital Association data. Individuals with Medicare aged 65 years or older continuously enrolled in Medicare Part A and B with an inpatient hospitalization claim in 2013 for primary diagnosis of acute myocardial infarction, stroke, sepsis, or respiratory diseases were included. Data analysis occurred from November 2019 through July 2020.

EXPOSURES

Race/ethnicity.

MAIN OUTCOMES AND MEASURES

The primary outcome of interest was IHT. For the primary analysis, a series of logistic regression models were created to estimate the adjusted odds of IHT for Black and Hispanic patients compared with White patients, controlling for patient clinical and demographic variables and incorporating hospital fixed effects. In secondary analyses, subgroup analyses were conducted by diagnosis, hospital teaching status, and hospitalization to hospitals in the top decile of Black and Hispanic patient proportion.

RESULTS

Among 899 557 patients, 734 958 patients were White (81.7%), 84 544 patients were Black (9.4%), and 47 588 patients were Hispanic (5.3%); there were 418 683 men (46.5%), and 306 215 patients (34.0%) were older than 84 years. The mean (SD) age was 76.8 (7.5) years. Among all patients, 20 171 White patients (2.7%), 1913 Black patients (2.3%), and 1062 Hispanic patients (2.2%) underwent IHT. After controlling for patient variables and hospital fixed effects, Black patients had a persistently lower odds of IHT (adjusted odds ratio, 0.87; 95% CI, 0.81-0.92; P < .001), while Hispanic patients had higher odds of IHT (adjusted odds ratio, 1.14; 95% CI, 1.05-1.24; P = .002) compared with White patients.

CONCLUSIONS AND RELEVANCE

This national evaluation of IHT among patients hospitalized with diagnoses previously found to have mortality benefit with transfer found that, compared with White patients, Black patients had persistently lower adjusted odds of transfer after accounting for patient and hospital characteristics and measured across various hospital settings. Meanwhile, Hispanic patients had higher adjusted odds of transfer. This research highlights the need for the development of strategies to mitigate disparate transfer practices by patient race/ethnicity.

Use of diabetes medications in traditional Medicare and Medicare Advantage

OBJECTIVES

To compare use of diabetes medications between beneficiaries enrolled in Medicare Advantage (MA) and traditional Medicare (TM).

STUDY DESIGN

Retrospective cohort analysis of Medicare enrollment and Part D event claims during 2015-2016.

METHODS

Data came from 1,027,884 TM and 838,420 MA beneficiaries who received at least 1 prescription for an oral or injectable diabetes medication. After matching MA and TM enrollees by demographic characteristics and geography, we analyzed use of medication overall, choices of first diabetes medication for those new to medication, and patterns of adding medications.

RESULTS

Overall and for patients on 1, 2, or 3 diabetes medications, use of metformin was higher in MA by about 3 percentage points, but use of newer medication classes was 5.1 percentage points higher in TM overall (21.3% vs 16.2%). Use of guideline-recommended first-line agents was higher in MA. For those who started metformin first, use of a sulfonylurea as a second medication was 7.8 percentage points higher in MA than TM (61.5% vs 53.7%), whereas use of medications from newer classes was 7.7 percentage points lower (22.0% vs 29.7%). Mean total spending was $149 higher in TM for those taking 1 medication and $298 higher for those taking 2 medications. Differences in spending among MA plans were of similar magnitude to the MA-TM differences.

CONCLUSIONS

MA enrollees are more likely to be treated with metformin and sulfonylureas and less likely to receive costly newer medications than those in TM, but there also is substantial variation within MA. A limitation of the study is that we could not assess glucose control using glycated hemoglobin levels.

Geographic Variation and Disparities in Total Joint Replacement Use for Medicare Beneficiaries: 2009 to 2017

BACKGROUND

Little is known about how the geographic variation and disparities in use of elective primary total hip and knee replacements for Medicare beneficiaries have evolved in recent years. The study objectives are to determine these variations and disparities, whether Black Medicare beneficiaries have continued to undergo fewer total hip replacements and total knee replacements across regions, and whether disparities affected all Black beneficiaries or mainly affected socioeconomically disadvantaged Black beneficiaries.

METHODS

We used 2009 to 2017 Medicare enrollment and claims data to examine Hospital Referral Region (HRR)-level variation and disparities by race (non-Hispanic White and Black) and socioeconomic status (Medicare-only and dual eligibility for both Medicare and Medicaid). The outcomes were HRR-level age and sex-standardized total hip replacement and total knee replacement utilization rates for White Medicare-only beneficiaries, White dual-eligible beneficiaries, Black Medicare-only beneficiaries, and Black dual-eligible beneficiaries, and the differences in rates between these groups as a representation of disparities. The key exposure variables were race-socioeconomic group and year. We constructed multilevel mixed-effects linear regression models to estimate trends in total hip replacement and total knee replacement rates and to examine whether rates were lower in HRRs with high percentages of Black beneficiaries or dual-eligible beneficiaries.

RESULTS

The study included 924,844 total hip replacements and 2,075,968 total knee replacements. In 2017, the mean HRR-level total hip replacement rate was 4.64 surgical procedures per 1,000 beneficiaries, and the mean HRR-level total knee replacement rate was 9.66 surgical procedures per 1,000 beneficiaries, with a threefold variation across HRRs. In 2017, the total hip replacement rate was 32% higher for White Medicare-only beneficiaries and 48% higher for Black Medicare-only beneficiaries than in 2009 (p < 0.001). However, because the surgical rates for White and Black dual-eligible beneficiaries remained unchanged over the study period, the 2017 Medicare-only and dual-eligible disparity for White beneficiaries increased by 0.75 surgical procedures per 1,000 from 2009 (40.98% increase; p = 0.03), and the disparity for Black beneficiaries by 1.13 surgical procedures per 1,000 beneficiaries (297.37% increase; p < 0.001). The total knee replacement disparities remained unchanged. Notably, the rates for White dual-eligible beneficiaries were significantly lower than those for Black Medicare-only beneficiaries (p < 0.001 for both total hip replacements and total knee replacements), and fewer surgical procedures were conducted in HRRs with a higher density of Black or dual-eligible beneficiaries.

CONCLUSIONS

Although the total hip replacement use for Medicare-only beneficiaries of both races increased, disparities for White and Black dual-eligible beneficiaries (compared with their Medicare-only counterparts) are increasing. Efforts to improve equity must identify and address both racial and socioeconomic barriers and focus on regions with high concentrations of disadvantaged beneficiaries.

CLINICAL RELEVANCE

Although total hip replacements and total knee replacements are highly successful surgical procedures for end-stage osteoarthritis, our findings show that, as recently as 2017, Black beneficiaries and those dual eligible for Medicaid (a proxy for socioeconomic status) are less likely to undergo these surgical procedures and that there is profound geographic variation in the use of these surgical procedures. This evidence is essential for the design and implementation of disparity-reduction strategies focused on patients, providers, and geographic areas that can potentially improve the equity in joint replacement care.

Identifying Racial/Ethnic Disparities in Interhospital Transfer: an Observational Study

BACKGROUND

Interhospital transfer (IHT) is often performed to provide patients with specialized care. Racial/ethnic disparities in IHT have been suggested but are not well-characterized.

OBJECTIVE

To evaluate the association between race/ethnicity and IHT.

DESIGN

Cross-sectional analysis of 2016 National Inpatient Sample data.

PATIENTS

Patients aged ≥ 18 years old with common medical diagnoses at transfer, including acute myocardial infarction, congestive heart failure, arrhythmia, stroke, sepsis, pneumonia, and gastrointestinal bleed.

MAIN MEASURES

We performed a series of logistic regression models to estimate adjusted odds of transfer by race/ethnicity controlling for patient demographics, clinical variables, and hospital characteristics and to identify potential mediators. In secondary analyses, we estimated adjusted odds of transfer among patients at community hospitals (those more likely to transfer patients) and performed subgroup analyses by region and primary medical diagnosis.

KEY RESULTS

Of 5,774,175 weighted hospital admissions, 199,015 (4.5%) underwent IHT, including 4.7% of White patients, compared with 3.9% of Black patients and 3.8% of Hispanic patients. Black (OR 0.83, 95% CI 0.78-0.89) and Hispanic (OR 0.81, 95% CI 0.75-0.87) patients had lower crude odds of transfer compared with White patients, but this became non-significant after adjusting for hospital-level characteristics. In secondary analyses among patients hospitalized at community hospitals, Hispanic patients had lower adjusted odds of transfer (aOR 0.89, 95% CI 0.79-0.98). Disparities in IHT by race/ethnicity varied by region and medical diagnosis.

CONCLUSIONS

Black and Hispanic patients had lower odds of IHT, largely explained by a higher likelihood of being hospitalized at urban teaching hospitals. Racial/ethnic disparities in transfer were demonstrated at community hospitals, in certain geographic regions and among patients with specific diseases.

Associations of multimorbidity and patient-reported experiences of care with conservative management among elderly patients with localized prostate cancer

Background

Many elderly localized prostate cancer patients could benefit from conservative management (CM). This retrospective cohort study examined the associations of patient‐reported access to care and multimorbidity on CM use patterns among Medicare Fee‐for‐Service (FFS) beneficiaries with localized prostate cancer.

Methods

We used linked Surveillance, Epidemiology, and End Results cancer Registry, Medicare Claims, and the Medicare Consumer Assessment of Healthcare Providers and Systems (MCAHPS) survey files. We identified FFS Medicare Beneficiaries (age ≥ 66; continuous enrollment in Parts A & B) with incident localized prostate cancer from 2003 to 2013 and a completed MCAHPS survey measuring patient‐reported experiences of care within 24 months after diagnosis (n = 496). We used multivariable models to examine MCAHPS measures (getting needed care, timeliness of care, and doctor communication) and multimorbidity on CM use.

Results

Localized prostate cancer patients with multimorbidity were less likely to use CM (adjusted odds ratio (AOR)=0.42 (0.27‐ 0.66), P < .001); those with higher scores on timeliness of care (AOR = 1.21 (1.09, 1.35), P < .001), higher education attainment (3.21 = AOR (1.50,6.89), P = .003), and impaired mental health status (4.32 = AOR (1.86, 10.1) P < .001) were more likely to use CM.

Conclusion(s)

Patient‐reported experience with timely care was significantly and positively associated with CM use. Multimorbidity was significantly and inversely associated with CM use. Addressing specific modifiable barriers to timely care along the cancer continuum for elderly localized prostate cancer patients with limited life expectancy could reduce the adverse effects of overtreatment on health outcomes and costs.

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

BACKGROUND

Misclassification of Medicare beneficiaries' race/ethnicity in administrative data sources is frequently overlooked and a limitation in health disparities research.

OBJECTIVE

To compare the validity of 2 race/ethnicity variables found in Medicare administrative data [enrollment database (EDB) and Research Triangle Institute (RTI) race] against a gold-standard source also available in the Medicare data warehouse: the self-reported race/ethnicity variable on the home health Outcome and Assessment Information Set (OASIS).

SUBJECTS

Medicare beneficiaries over the age of 18 who received home health care in 2015 (N=4,243,090).

MEASURES

Percent agreement, sensitivity, specificity, positive predictive value, and Cohen κ coefficient.

RESULTS

The EDB and RTI race variable have high validity for black race and low validity for American Indian/Alaskan Native race. Although the RTI race variable has better validity than the EDB race variable for other races, κ values suggest room for future improvements in classification of whites (0.90), Hispanics (0.87), Asian/Pacific Islanders (0.77), and American Indian/Alaskan Natives (0.44).

DISCUSSION

The status quo of using "good-enough for government" race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data, available in the Medicare data warehouse. Health services and policy researchers should critically examine the source of race/ethnicity variables used in minority health and health disparities research. Future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.

Spatiotemporal and Demographic Trends and Disparities in Cardiovascular Disease Among Older Adults in the United States Based on 181 Million Hospitalization Records

Background

The US population is aging, with concurrent increases in cardiovascular disease (CVD) burdens; however, spatiotemporal and demographic trends in CVD incidence in the US elderly have not been investigated in detail. This study aims to characterize trends from 1991 to 2014 in CVD hospitalizations among US Medicare beneficiaries, aged 65+ years, by single year of age/sex/race/state using records from the US Centers for Medicare & Medicaid, covering 98% of older Americans.

Methods and Results

We abstracted 181 202 758 US Centers for Medicare & Medicaid hospitalization records indicating CVD in any of 10 diagnosis codes; tabulated total cases of CVD by sex, age, race, state, and calendar year (1991–2014); and normalized hospitalization counts to standardize over data batches. Stratum‐specific hospitalization rates were calculated using US Centers for Medicare & Medicaid records and US Census population counts; a cubic polynomial function was fit to year‐specific distributions of rates by single year of age. Nationwide, CVD‐related hospitalization rates increased from 1991 to 2014. Differences between hospitalization rates at age 65 and 66 years, representing magnitude of healthcare deferral until Medicare onset, increased by 7.49 per 100 people 1991 to 2006 overall, and were largest among blacks and Native Americans. Rates of CVD hospitalizations were consistently highest in the Midwest/Deep South. Evidence of misclassification of race/ethnicity in US Centers for Medicare & Medicaid hospitalization records in the 1990s was noted.

Conclusions

Trends in CVD‐related hospitalization rates among older Americans highlight the essential need for targeted policies to reduce CVD burdens, to improve reporting of race/ethnicity in large administrative databases, and to enhance access to affordable healthcare.

Trends and Racial Differences in First Hospitalization for Stroke and 30-Day Mortality in the US Medicare Population From 1988 to 2013

PURPOSE

The main purpose of this study was to determine whether there were temporal differences in the rates of first stroke hospitalizations and 30-day mortality after stroke between black and white Medicare enrollees.

METHODS

We used a 20% sample of Medicare beneficiaries aged 65 years or older and described the annual rate of first hospitalization for ischemic and hemorrhagic strokes from years 1988 to 2013, as well as 30-day mortality after stroke hospitalization. We used linear tests of trend to determine whether stroke rates changed over time, and tested the interaction term between race and year to determine whether trends differed by race.

RESULTS

We identified 1,009,057 incident hospitalizations for ischemic strokes and 147,817 for hemorrhagic strokes. Annual stroke hospitalizations decreased significantly over time for both blacks and whites, and in both stroke subtypes (P-values for all trend <0.001). Reductions in stroke rates were comparable between blacks and whites: among men, the odds ratio for the interaction term for race by year was 1.008 [95% confidence interval (CI), 1.004-1.012] for ischemic and 1.002 (95% CI, 0.999-1.004) for hemorrhagic; for women, it was 1.000 (95% CI, 0.997-1.004) for ischemic and 1.003 (95% CI, 1.001-1.006) for hemorrhagic. Both black men and women experienced greater improvements over time in terms of 30-day mortality after strokes.

CONCLUSIONS

Rates of incident hospitalizations for ischemic and hemorrhagic strokes fell significantly over a 25-year period for both black and white Medicare enrollees. Black men and women experienced greater improvements in 30-day mortality after both ischemic and hemorrhagic stroke.

Epidemiology of Cardiac Amyloidosis-Associated Heart Failure Hospitalizations Among Fee-for-Service Medicare Beneficiaries in the United States

Background Cardiac amyloidosis is a substantially underdiagnosed disease, and contemporary estimates of the epidemiology of amyloidosis are lacking. This study aims to determine the incidence and prevalence of cardiac amyloidosis among Medicare beneficiaries from 2000 to 2012. Methods and Results Medicare beneficiaries were counted in the prevalence cohort in each year they had (1) ≥1 principal or secondary International Classification of Diseases, Ninth Revision code for amyloidosis and (2) ≥1 principal or secondary International Classification of Diseases, Ninth Revision code for heart failure or cardiomyopathy within 2 years after the systemic amyloidosis code. A beneficiary was counted in the incidence cohort only during the first year in which they met criteria. Primary outcomes included the prevalence and incidence of hospitalizations for cardiac amyloidosis. There were 4746 incident cases of cardiac amyloidosis in 2012 and 15 737 prevalent cases in 2012. There was also a significant increase in the prevalence rate (8 to 17 per 100 000 person-years) and incidence rate (18 to 55 per 100 000 person-years) from 2000 to 2012, most notable after 2006. Incidence and prevalence increased substantially more among men, the elderly, and in blacks. Conclusions The incidence and prevalence rates of cardiac amyloidosis are higher than previously thought. The incidence and prevalence rates of cardiac amyloidosis among hospitalized patients have increased since 2000, particularly among specific patient subgroups and after 2006, suggesting improved amyloidosis awareness and higher diagnostic rates with noninvasive imaging. In light of these trends, cardiac amyloidosis should be considered during the initial work up of patients ≥65 years old hospitalized with heart failure.

Differences in hospitalizations, emergency room admissions, and outpatient visits among Mexican-American Medicare beneficiaries

BACKGROUND

Few studies have investigated the healthcare utilization of Mexican-American Medicare beneficiaries. We used survey data that has been linked with Medicare claims records to describe the healthcare utilization of Mexican-American Medicare beneficiaries, determine common reasons for hospitalizations, and identify characteristics associated with healthcare utilization.

METHODS

Data came from wave five (2004/05) of the Hispanic Established Populations for the Epidemiological Study of the Elderly. The final sample included 1187 participants aged ≥75 who were followed for two-years (eight-quarters). Generalized estimating equations were used to estimate the probability of ≥1 hospitalization, emergency room (ER) admissions, and outpatient visits.

RESULTS

The percentage of beneficiaries who had ≥1 hospitalizations, ER admissions, and outpatient visits for each quarter ranged from 10.12-12.59%, 14.15-19.03%, and 76.61-80.68%, respectively. Twenty-three percent of hospital discharges were for circulatory conditions and 17% were for respiratory conditions. Hospitalizations for heart failure and simple pneumonia were most common. Older age was associated with significantly higher odds for ER admissions (OR = 1.49, 95% CI = 1.21-1.84) but lower odds for outpatient visits (OR = 0.74, 95% CI = 0.57-0.96). Spanish language and female gender were associated with significantly higher odds for hospitalizations (OR = 1.53, 95% CI = 1.14-2.06) and outpatient visits (OR = 1.82, 95% CI = 1.43-2.33), respectively. Having a middle-school or higher level of education was associated with significantly lower odds for ER admissions (OR = 0.71, 95% CI = 0.56-0.91). Participants who were deceased within two-years had significantly higher odds for hospitalizations (OR = 6.15, 95% CI = 4.79-7.89) and ER admissions (OR = 3.63, 95% CI = 2.88-4.57) than participants who survived at least three-years.

CONCLUSION

We observed high healthcare utilization among Mexican-American Medicare beneficiaries. Forty percent of all hospitalizations were for circulatory and respiratory conditions with hospitalizations for heart failure and pneumonia being the most common. Older age, gender, education, language, and mortality were all associated with healthcare utilization. Continued research is needed to identify patterns and clusters of social determinants and health characteristics associated with healthcare utilization and outcomes in older Mexican-Americans.

Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity

OBJECTIVE

To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services' (CMS) administrative measure of race/ethnicity with surname and geographic data to estimate race/ethnicity.

DATA SOURCES/STUDY SETTING

Data from 284 627 respondents to the 2014 Medicare CAHPS survey.

STUDY DESIGN

We compared performance (cross-validated Pearson correlation of estimates and self-reported race/ethnicity) for several alternative models predicting self-reported race/ethnicity in cross-sectional observational data to assess accuracy of estimates, resulting in MBISG 2.0. MBISG 2.0 adds to MBISG 1.0 first name, demographic, and coverage predictors of race/ethnicity and uses a more flexible data aggregation framework.

DATA COLLECTION/EXTRACTION METHODS

We linked survey-reported race/ethnicity to CMS administrative and US census data.

PRINCIPAL FINDINGS

MBISG 2.0 removed 25-39 percent of the remaining MBISG 1.0 error for Hispanics, Whites, and Asian/Pacific Islanders (API), and 9 percent for Blacks, resulting in correlations of 0.88 to 0.95 with self-reported race/ethnicity for these groups.

CONCLUSIONS

MBISG 2.0 represents a substantial improvement over MBISG 1.0 and the use of CMS administrative data on race/ethnicity alone. MBISG 2.0 is used in CMS' public reporting of Medicare Advantage contract HEDIS measures stratified by race/ethnicity for Hispanics, Whites, API, and Blacks.

Using predicted Spanish preference to target bilingual mailings in a mail survey with telephone follow-up

OBJECTIVE

Spanish-preferring Medicare beneficiaries are underrepresented in national patient experience surveys. We test a method for improving their representation via higher response rates.

DATA SOURCES/STUDY SETTING

2009-2010 Medicare CAHPS surveys; Medicare population.

STUDY DESIGN

We used surname and address to predict Spanish-language preference for a national sample of 177 139 beneficiaries. We randomized half of the 10 000 non-Puerto Rico beneficiaries with the highest predicted probabilities of Spanish preference (>10 percent) to bilingual mailings (intervention) and half to standard English-only mailings (control).

DATA COLLECTION

Medicare CAHPS Survey data were collected through mail surveys with telephone follow-up of nonrespondents.

PRINCIPAL FINDINGS

Mail response rate was higher for intervention (28.7 percent) than control (23.9 percent) (P < 0.0001); phone response rates among mail nonrespondents were similar in intervention and control arms (15.8 percent vs 15.7 percent, P = 0.90). Targeted bilingual mailings induced 6.5 percent of those who would not have responded to respond by mail and 54.0 percent of those who would have responded in English to respond in Spanish. Beneficiaries with greater Spanish probabilities showed greater increases in response rates, a higher proportion of responses in Spanish, and lower control response rates among.

CONCLUSIONS

Targeted bilingual mailing of mixed-mode surveys using commonly available surname and address information can efficiently increase representation of this underrepresented group.

Association of Legal Intervention Injuries With Race and Ethnicity Among Patients Treated in Emergency Departments in California

IMPORTANCE

Increased public concern regarding police use of force has coincided with a dearth of available data to uncover the magnitude and trends in injuries, particularly across race or ethnicity.

OBJECTIVE

To examine trends in injury rates, severity, and disparities across black individuals, white individuals, Hispanic individuals, and Asian/Pacific Islander individuals.

DESIGN, SETTING, AND PARTICIPANTS

In this retrospective, cross-sectional study, data collected on every hospital visit in California from January 1, 2005, to September 30, 2015, were used to model trends in rates of legal intervention injuries (n = 92 386) per capita and per arrest for men aged 14 to 64 years, by race or ethnicity. The study also examined descriptive statistics on injury dispositions to assess changes in severity. Analyses were conducted between December 2017 and June 2018.

MAIN OUTCOMES AND MEASURES

All visits with an external cause of injury code of E970 to E977 were classified as legal intervention injuries. This range of codes includes injuries inflicted by the police or other law-enforcing agents in the course of arresting or attempting to arrest lawbreakers, suppressing disturbances, maintaining order, and other legal action.

RESULTS

The study identified a total of 92 386 hospital visits that were the result of legal intervention among males aged 14 to 64 years. Black individuals were at the highest risk of legal intervention injury per capita in 2005 (for black vs white individuals, rate ratio, 2.90; 95% CI, 2.74-3.06), and remained so across the study period. Although rates among Asian/Pacific Islander individuals remained stable, rates in all other groups increased from 2005 to 2009 and then declined from 2009 to 2015, nearly returning to 2005 levels. During the period of increasing rates, the black to white disparity widened by 3% annually (rate ratio, 1.03; 95% CI, 1.01-1.05), then narrowed as rates declined. In contrast, rates of injury per arrest have increased over the past decade, although rates were broadly similar across race or ethnicity. The proportion of injuries involving firearms (ie, shootings by police) declined from 7.0% in 2005 and 2006 to 3.7% in 2014 and 2015.

CONCLUSIONS AND RELEVANCE

States with central repositories for hospital visits offer data sources to illuminate the public health problem of legal intervention injuries, and warrant greater attention to ensure consistent coding for complete capture.

Do Changes in Post-acute Care Use at Hospitals Participating in an Accountable Care Organization Spillover to All Medicare Beneficiaries?

BACKGROUND

While early evidence suggests that Medicare accountable care organizations (ACOs) may reduce post-acute care (PAC) utilization for attributed beneficiaries, whether these effects spill over to all beneficiaries admitted to hospitals participating in ACOs stray is unknown.

OBJECTIVE

The objective of this study was to evaluate whether changes in PAC use and Medicare spending spill over to all beneficiaries admitted to hospitals participating in the Medicare Shared Savings Program (MSSP).

DESIGN

Observational study using a difference-in-differences design comparing changes in PAC utilization and spending among beneficiaries admitted to ACO-participating hospitals before and after the start of the ACO contracts, compared to those admitted to non-ACO hospitals.

SETTING

A total of 233 hospitals participate in MSSP ACOs and 3103 non-ACO hospitals.

PARTICIPANTS

A national sample of 11,683,573 Medicare beneficiaries experiencing 26,503,086 hospital admissions from 2010 to 2013.

EXPOSURE

Admission to a hospital participating in an MSSP ACO.

MAIN MEASURES

The probability of discharge and Medicare payments to inpatient rehabilitation facilities (IRF), skilled nursing facilities (SNF), and home health agencies (HHA).

KEY RESULTS

For beneficiaries admitted to hospitals that joined an ACO, the likelihood of being discharged to PAC did not change after the hospital joined the ACO compared with non-ACO hospitals over the same period (differential change in probability of discharge to any PAC was 0.000 (P = 0.89), SNF was 0.000 (P = 0.73), IRF was 0.000 (P = 0.96), and HHA was 0.001 (P = 0.57)). Payments reduced significantly for PAC overall (- $130.41, P = 0.03), but not for any individual PAC type alone. These results were consistent in samples that were conditional on discharge to any PAC, across conditions with high PAC use nationally, and among ACO-participating hospitals that also had a PAC participant.

CONCLUSIONS

Hospital participation in an ACO did not result in spillovers in PAC utilization or payments to all beneficiaries, even when considering high PAC-use conditions and ACO hospitals that also have an ACO-participating PAC.

Changes in specialty care use and leakage in Medicare accountable care organizations

OBJECTIVES

Reducing leakage to outside specialists has been promoted as a key strategy for accountable care organizations (ACOs). We sought to examine changes in specialty care leakage and use associated with the Medicare Shared Savings Program (MSSP).

STUDY DESIGN

Analyses of trends in ACOs from 2010 to 2014 and quasi-experimental difference-in-differences analyses comparing changes for ACOs versus local non-ACO providers from before until after the start of ACO contracts, stratified by ACO specialty composition and year of MSSP entry.

METHODS

We used Medicare claims for a 20% sample of beneficiaries attributed to ACOs or non-ACO providers. The main beneficiary-level outcome was the annual count of new specialist visits. ACO-level outcomes included the proportion of visits for ACO-attributed patients outside of the ACO (leakage) and proportion of ACO Medicare outpatient revenue devoted to ACO-attributed patients (contract penetration).

RESULTS

Leakage of specialist visits decreased minimally from 2010 to 2014 among ACOs. Contract penetration also changed minimally but differed substantially by specialty composition (85% for the most primary care-oriented quartile vs 47% for the most specialty-oriented quartile). For the most primary care-oriented quartile of ACOs in 2 of 3 entry cohorts, MSSP participation was associated with differential reductions in new specialist visits (-0.04 visits/beneficiary in 2014 for the 2012 cohort; -5.4%; P <.001). For more specialty-oriented ACOs, differential changes in specialist visits were not statistically significant.

CONCLUSIONS

Leakage of specialty care changed minimally in the MSSP, suggesting ineffective efforts to reduce leakage. MSSP participation was associated with decreases in new specialty visits among primary care-oriented ACOs.

Trends in Diabetes Treatment and Monitoring among Medicare Beneficiaries

BACKGROUND

Diabetes is a costly and common condition, but little is known about recent trends in diabetes management among Medicare beneficiaries.

OBJECTIVE

To evaluate the use of diabetes medications and testing supplies among Medicare beneficiaries.

DESIGN/SETTING

Retrospective cohort analysis of Medicare claims from 2007 to 2014.

PARTICIPANTS

Traditional Medicare beneficiaries with a diagnosis of diabetes in the current or any prior year.

MAIN MEASURES

We analyzed choices of first diabetes medication for those new to medication and patterns of adding medications. We also examined the use of testing supplies, use of statins and ACE inhibitors/angiotensin receptor blockers, and spending.

KEY RESULTS

Diagnosed diabetes increased from 28.7% to 30.2% of beneficiaries from 2007 to 2014. The use of metformin as the most commonly prescribed first medication increased from 50.2% in 2007 to 70.2% in 2014, whereas long-acting sulfonylureas decreased from 16.6% to 8.2%. The use of thiazolidinediones fell considerably, while the use of new diabetes medication classes increased. Among patients prescribed insulin, long-acting insulin as the first choice increased substantially, from 38.9% to 56.8%, but short-acting or combination regimens remained common, particularly among older or sicker beneficiaries. Prescriptions of testing supplies for more than once-daily testing were also common. The mean total cost of diabetes medications per patient increased over the period due to the increasing use of high-cost drugs, particularly by those patients with costs above the 90th percentile of spending, although the median costs decreased for both medications and testing supplies.

CONCLUSIONS

The use of metformin and long-acting insulin have increased substantially among elderly Medicare patients with diabetes, but a substantial subgroup continues to receive costly and complex treatment regimens.

Examining Race and Ethnicity Information in Medicare Administrative Data

Racial and ethnic disparities are observed in the health status and health outcomes of Medicare beneficiaries. Reducing these disparities is a national priority, and having high-quality data on individuals' race and ethnicity is critical for researchers working to do so. However, using Medicare data to identify race and ethnicity is not straightforward. Currently, Medicare largely relies on Social Security Administration data for information about Medicare beneficiary race and ethnicity. Directly self-reported race and ethnicity information is collected for subsets of Medicare beneficiaries but is not explicitly collected for the purpose of populating race/ethnicity information in the Medicare administrative record. As a consequence of historical data collection practices, the quality of Medicare's administrative data on race and ethnicity varies substantially by racial/ethnic group; the data are generally much more accurate for whites and blacks than for other racial/ethnic groups. Identification of Hispanic and Asian/Pacific Islander beneficiaries has improved through use of an imputation algorithm recently applied to the Medicare administrative database. To improve the accuracy of race/ethnicity data for Medicare beneficiaries, researchers have developed techniques such as geocoding and surname analysis that indirectly assign Medicare beneficiary race and ethnicity. However, these techniques are relatively new and data may not be widely available. Understanding the strengths and limitations of different approaches to identifying race and ethnicity will help researchers choose the best method for their particular purpose, and help policymakers interpret studies using these measures.

Changes in Postacute Care in the Medicare Shared Savings Program

Importance

Postacute care is thought to be a major source of wasteful spending. The extent to which accountable care organizations (ACOs) can limit postacute care spending has implications for the importance and design of other payment models that include postacute care.

Objective

To assess changes in postacute care spending and use of postacute care associated with provider participation as ACOs in the Medicare Shared Savings Program (MSSP) and the pathways by which they occurred.

Design, Setting, and Participants

With the use of fee-for-service Medicare claims from a random 20% sample of beneficiaries with 25 544 650 patient-years, 8 395 426 hospital admissions, and 1 595 352 stays in skilled nursing facilities (SNFs) from January 1, 2009, to December 31, 2014, difference-in-difference comparisons of beneficiaries served by ACOs with beneficiaries served by local non-ACO health care professionals (control group) were performed before vs after entry into the MSSP. Differential changes were estimated separately for cohorts of ACOs entering the MSSP in 2012, 2013, and 2014.

Exposures

Patient attribution to an ACO in the MSSP.

Main Outcomes and Measures

Postacute spending, discharge to a facility, length of SNF stays, readmissions, use of highly rated SNFs, and mortality, adjusted for patient characteristics.

Results

For the 2012 cohort of 114 ACOs, participation in the MSSP was associated with an overall reduction in postacute spending (differential change in 2014 for ACOs vs control group, -$106 per beneficiary [95% CI, -$176 to -$35], or -9.0% of the precontract unadjusted mean of $1172; P = .003) that was driven by differential reductions in acute inpatient care, discharges to facilities rather than home (-0.6 percentage points [95% CI, -1.1 to 0.0], or -2.7% of the unadjusted precontract mean of 22.6%; P = .03), and length of SNF stays (-0.60 days per stay [95% CI, -0.99 to -0.22], or -2.2% of the precontract unadjusted mean of 27.07 days; P = .002). Reductions in use of SNFs and length of stay were largely due to within-hospital or within-SNF changes in care specifically for ACO patients. Participation in the MSSP was associated with smaller significant reductions in SNF spending in 2014 for the 2013 ACO cohort (-$27 per beneficiary [95% CI, -$49 to -$6], or -3.3% of the precontract unadjusted mean of $813; P = .01) but not in the 2013 or 2014 cohort's first year of participation (-$13 per beneficiary [95% CI, -$33 to $6]; P = .19; and $4 per beneficiary [95% CI, -$15 to $24]; P = .66). Estimates were similar for ACOs with and without financial ties to hospitals. Participation in the MSSP was not associated with significant changes in 30-day readmissions, use of highly rated SNFs, or mortality.

Conclusions and Relevance

Participation in the MSSP has been associated with significant reductions in postacute spending without ostensible deterioration in quality of care. Spending reductions were more consistent with clinicians working within hospitals and SNFs to influence care for ACO patients than with hospital-wide initiatives by ACOs or use of preferred SNFs.

Residential Segregation and Racial Cancer Disparities: A Systematic Review

BACKGROUND

This paper provides the first review of empirical studies of segregation and black-white cancer disparities.

METHODS

We searched all years of PubMed (through May 2016) using these terms: racial segregation, residential segregation, neighborhood racial composition (first terms) and (second terms) cancer incidence, mortality, survival, stage at diagnosis, screening. The 17 (of 668) articles that measured both segregation and a cancer outcome were retained.

RESULTS

Segregation contributed significantly to cancer and to racial cancer disparities in 70% of analyses, even after controlling for socioeconomic status and health insurance. Residing in segregated African-American areas was associated with higher odds of later-stage diagnosis of breast and lung cancers, higher mortality rates and lower survival rates from breast and lung cancers, and higher cumulative cancer risks associated with exposure to ambient air toxics. There were no studies of many types of cancer (e.g., cervical). Studies differed in their measure of segregation, and 40% used an invalid measure. Possible mediators of the segregation effect usually were not tested.

CONCLUSIONS

Empirical analysis of segregation and racial cancer disparities is a recent area of research. The literature is limited to 17 studies that focused primarily on breast cancer. Studies differed in their measure of segregation, yet segregation nonetheless contributed to cancer and to racial cancer disparities in 70% of analyses. This suggests the need for further research that uses valid measures of segregation, examines a variety of types of cancers, and explores the variables that may mediate the segregation effect.

Identifying the Transgender Population in the Medicare Program

Purpose: To identify and describe the transgender population in the Medicare program using administrative data. Methods: Using a combination of International Classification of Diseases ninth edition (ICD-9) codes relating to transsexualism and gender identity disorder, we analyzed 100% of the 2013 Centers for Medicare & Medicaid Services (CMS) Medicare Fee-For-Service (FFS) "final action" claims from both institutional and noninstitutional providers (∼1 billion claims) to identify individuals who may be transgender Medicare beneficiaries. To confirm, we developed and applied a multistage validation process. Results: Four thousand ninety-eight transgender beneficiaries were identified, of which ∼90% had confirmatory diagnoses, billing codes, or evidence of a hormone prescription. In general, the racial, ethnic, and geographic distribution of the Medicare transgender population tends to reflect the broader Medicare population. However, age, original entitlement status, and disease burden of the transgender population appear substantially different. Conclusions: Using a variety of claims information, ranging from claims history to additional diagnoses, billing modifiers, and hormone prescriptions, we demonstrate that administrative data provide a valuable resource for identifying a lower bound of the Medicare transgender population. In addition, we provide a baseline description of the diversity and disease burden of the population and a framework for future research.