Examining Black-White Disparities Among Medicare Beneficiaries in Assisted Living Settings in 2014

ObjectiveAssisted living (AL) provides housing and personal care to residents who need assistance with daily activities. Few studies have examined black-white disparities in larger (25 + beds) ALs; therefore, little is known about black residents, their prior residential settings, and how they compare to whites in AL. We examined racial differences among a national cohort of AL residents and how the racial variation among AL Medicare Fee-For-Service (FFS) beneficiaries compared to differences among community-dwelling and nursing home cohorts.Study designRetrospective cohort study.ParticipantsWe included (1) a prevalence sample of 442,018 white and black Medicare beneficiaries residing in large AL settings, (2) an incidence sample of new residents (n = 94,741), and (3) 10% random samples of Medicare FFS community-dwelling and nursing home beneficiaries in 2014.MeasuresThe Medicare Master Summary Beneficiary File was used to identify AL residents and provided demographic, entitlement, chronic condition, and health care utilization information. We used the American Community Survey and prior ZIP code tabulation areas of residents to examine differences in prior neighborhoods. Medicare claims and the Minimum Data Set yielded samples of Medicare FFS community-dwelling older adults and nursing home residents.ResultsBlacks were disproportionately represented in AL, younger, more likely to be Medicaid eligible, had higher levels of acuity, and more often lived in ALs with fewer whites and more duals. New black residents entered AL with higher rates of acute care hospitalizations and skilled nursing facility utilization. Across the 3 cohorts, blacks had higher rates of dual-eligibility.ConclusionsBlack-white differences observed among AL residents indicate a need for future work to examine how disparities manifest in differences in care received and residents’ outcomes, as well as the pathways to AL. More research is needed to understand the implications of inequities in AL as they relate to quality and experiences of residents.     

Changes in Long-Term Care Markets: Assisted Living Supply and the Prevalence of Low-Care Residents in Nursing Homes

ObjectivesTo assess the effect of changes in assisted living (AL) capacity within a market on prevalence of residents with low care needs in nursing homes.DesignRetrospective, longitudinal analysis of nursing home markets.Setting and participantsTwelve thousand two hundred fifity-one nursing homes in operation during 2007 and 2014.MeasurementsWe analyzed the percentage of residents in a nursing home who qualified as low-care. For each nursing home, we constructed a market consisting of AL communities, Medicare beneficiaries, and competing nursing homes within a 15-mile radius. We estimated the effect of change in AL beds on prevalence of low-care residents using multivariate linear models with year and nursing home fixed effects.ResultsThe supply of AL beds increased by an average 258 beds per nursing home market (standard deviation = 591) during the study period. The prevalence of low-care residents decreased from an average of 13.0% (median 10.5%) to 12.2% (median 9.5%). In adjusted models, a 100-bed increase in AL supply was associated with a decrease in low-care residents of 0.041 percentage points (P = .026), controlling for changes in market and nursing home characteristics, county demographics, and year and nursing home fixed effects. In markets with a high percentage of its Medicare beneficiaries (≥14%) dual eligible for Medicaid, the effect of AL is stronger, with a 0.066–percentage point decrease per 100 AL beds (P = .026) vs a 0.016–percentage point decrease in low-duals markets (P = .48).Conclusions and implicationsOur analysis suggests that some of the growth in AL capacity serves as a substitute for nursing homes for patients with low care needs. Furthermore, the effects are concentrated in markets with an above-average proportion of beneficiaries with dual Medicaid eligibility.     

Excess Mortality Among Assisted Living Residents With Dementia During the COVID-19 Pandemic

ObjectiveTo evaluate whether assisted living (AL) residents with Alzheimer’s disease and related dementias (ADRD) experienced a greater rate of excess all-cause mortality during the first several months of the COVID-19 pandemic compared to residents without ADRD, and to compare excess all-cause mortality rates in memory care vs general AL among residents with ADRD.DesignRetrospective cohort study.Setting and ParticipantsTwo cohorts of AL residents enrolled in Medicare Fee-For-Service who resided in 9-digit ZIP codes corresponding to US AL communities of ≥25 beds during calendar year 2019 or 2020.MethodBy linking Medicare claims and Vital Statistics data, we examined the weekly excess all-cause mortality rate, comparing the rate from March 12, 2020, to December 31, 2020, to the rate from January 1, 2019, to March 11, 2020. We adjusted for demographics, chronic conditions, AL community size, and county fixed effects.ResultsOf the 286,350 residents in 2019 and the 273,601 in 2020 identified in these cohorts, approximately 31% had a diagnosis of ADRD. Among all AL residents, the excess weekly mortality rate in 2020 was 49.1 per 100,000 overall during the pandemic. Compared to residents without ADRD, residents with ADRD experienced 33.4 more excess deaths per 100,000 during the pandemic. Among residents with ADRD, those who resided in memory care communities did not experience a statistically significant different mortality rate than residents who lived in general AL.Conclusions and ImplicationsAL residents with ADRD were more vulnerable to mortality during COVID-19 than residents without ADRD, a finding similar to those reported in other settings such as nursing homes. Additionally, the study provides important new information that residents with ADRD in memory care communities may not have been at differential risk of COVID-19 mortality when compared to residents with ADRD in general AL, despite prior research suggesting they have more advanced dementia.     

Sensitivity and Specificity of the Minimum Data Set 3.0 Discharge Data Relative to Medicare Claims

ObjectiveThe objective of this study was to determine whether the Minimum Data Set (MDS) 3.0 discharge record accurately identifies hospitalizations and deaths of nursing home residents.DesignWe merged date of death from Medicare enrollment data and hospital inpatient claims with MDS discharge records to check whether the same information can be verified from both the sources. We examined the association of 30-day rehospitalization rates from nursing homes calculated only from MDS and only from claims. We also examined how correspondence between these 2 data sources varies across nursing homes.SettingsAll fee-for-service (FFS) Medicare beneficiaries admitted for Medicare-paid (with prospective payment system) skilled nursing facility (SNF) care in 2011.ResultsSome 94% of hospitalization events in Medicare claims can be identified using MDS discharge records and 87% of hospitalization events detected in MDS data can be verified by Medicare hospital claims. Death can be identified almost perfectly from MDS discharge records. More than 99% of the variation in nursing home–level 30-day rehospitalization rate calculated using claims data can be explained by the same rates calculated using MDS. Nursing home structural characteristics explain only 5% of the variation in nursing home–level sensitivity and 3% of the variation in nursing home–level specificity.ConclusionThe new MDS 3.0 discharge record matches Medicare enrollment and hospitalization claims events with a high degree of accuracy, meaning that hospitalization rates calculated based on MDS offer a good proxy for the “gold standard” Medicare data.     

ICD-10 anaphylaxis algorithm and the estimate of vaccine-attributable anaphylaxis incidence in Medicare

BackgroundAnaphylaxis is a rare, serious allergic reaction. Its identification in large healthcare databases can help better characterize this risk.ObjectiveTo create an ICD-10 anaphylaxis algorithm, estimate its positive predictive values (PPVs) in a post-vaccination risk window, and estimate vaccination-attributable anaphylaxis rates in the Medicare Fee For Service (FFS) population.MethodsAn anaphylaxis algorithm with core and extended portions was constructed analyzing ICD-10 anaphylaxis claims data in Medicare FFS from 2015 to 2017. Cases of post-vaccination anaphylaxis among Medicare FFS beneficiaries were then identified from October 1, 2015 to February 28, 2019 utilizing vaccine relevant anaphylaxis ICD-10 codes. Information from medical records was used to determine true anaphylaxis cases based on the Brighton Collaboration’s anaphylaxis case definition. PPVs were estimated for incident anaphylaxis and the subset of vaccine-attributable anaphylaxis within a 2-day post-vaccination risk window. Vaccine-attributable anaphylaxis rates in Medicare FFS were also estimated.ResultsThe study recorded 66,572,128 vaccinations among 21,685,119 unique Medicare FFS beneficiaries. The algorithm identified a total of 190 suspected anaphylaxis cases within the 2-day post-vaccination window; of these 117 (62%) satisfied the core algorithm, and 73 (38%) additional cases satisfied the extended algorithm. The core algorithm’s PPV was 66% (95% CI [56%, 76%]) for identifying incident anaphylaxis and 44% (95% CI [34%, 56%]) for vaccine-attributable anaphylaxis. The vaccine-attributable anaphylaxis incidence rate after any vaccination was 0.88 per million doses (95% CI [0.67, 1.16]).ConclusionThe ICD-10 claims algorithm for anaphylaxis allows the assessment of anaphylaxis risk in real-world data. The algorithm revealed vaccine-attributable anaphylaxis is rare among vaccinated Medicare FFS beneficiaries.     

State Variation in Antipsychotic Use Among Assisted Living Residents With Dementia

ObjectivesMore than two-thirds of assisted living (AL) residents have dementia or cognitive impairment and antipsychotics are commonly prescribed for behavioral disturbances. As AL communities are regulated by state-level policies, which vary significantly regarding the care for people with dementia, we examined how antipsychotic prescribing varied across states among AL residents with dementia.DesignThis was an observational study using 20% sample of national Medicare data in 2017.Setting and ParticipantsThe study cohort included Medicare beneficiaries with dementia aged 65 years or older who resided in larger (≥25-bed) ALs in 2017.MethodsThe study outcome was the percentage of eligible AL person-months in which antipsychotics were prescribed for each state. We used a random intercept linear regression model to shrink estimates toward the overall mean use of antipsychotics addressing unstable estimates due to small sample sizes in some states.ResultsA total of 20,867 AL residents with dementia were included in the analysis, contributing to 194,718 person-months of observation. On average, AL residents with dementia were prescribed antipsychotics during 12.6% of their person-months. This rate varied significantly by state, with a low of 7.8% (95% CI 5.9%-10.3%) for Hawaii to a high of 20.5% (95% CI 16.4%-25.3%) for Wyoming.Conclusions and implicationsWe observed significant state variation in the prescribing of antipsychotics among AL residents with dementia using national data. These variations may reflect differences in state regulations regarding the care for AL residents with dementia and suggest the need for further investigation to ensure high quality of care.     

Characterizing Emergency Department Use in Assisted Living

ObjectivesLittle is known about emergency department (ED) utilization among the nearly 1 million older adults residing in assisted living (AL) settings. Unlike federally regulated nursing homes, states create and enforce AL regulations with great variability, which may affect the quality of care provided. The objective of this study was to examine state variability in all-cause and injury-related ED use among residents in AL.DesignObservational retrospective cohort study.Setting and ParticipantsWe identified a cohort of 293,336 traditional Medicare beneficiaries residing in larger AL communities (25+ beds).MethodsWith Medicare enrollment and claims data, we identified ED visits and classified those because of injury. We present rates of all-cause and injury-related ED use per 100 person-years in AL, by state, adjusting for age, sex, race, dual-eligibility, and chronic conditions.ResultsRisk-adjusted state rates of all-cause ED visits ranged from 100.9 visits/100 AL person-years [95% confidence interval (CI) 92.8, 109.9] in New Mexico to 162.3 visits/100 AL person-years (95% CI 154.0, 174.7) in Rhode Island. The risk-adjusted rate of injury-related ED visits ranged from 18.7 visits/100 AL person-years (95% CI 17.2, 20.3) in New Mexico to 35.7 visits/100 AL person-years (95% CI 34.7, 36.8) in North Carolina.Conclusions and ImplicationsWe observed significant variability among states in all-cause and injury-related ED use among AL residents. There is an urgent need to better understand why this variability is occurring to prevent avoidable visits to the ED.     

Quality of Post-Acute Care in Skilled Nursing Facilities That Disproportionately Serve Hispanics With Dementia

ObjectivesAs the number of Hispanics with dementia continues to increase, greater use of post-acute care in nursing home settings will be required. Little is known about the quality of skilled nursing facilities (SNFs) that disproportionately serve Hispanic patients with dementia and whether the quality of SNF care varies by the concentration of Medicare Advantage (MA) patients with dementia admitted to these SNFs.DesignCross-sectional study using 2016 data from Medicare certified providers.Setting and ParticipantsOur cohort included 177,396 beneficiaries with probable dementia from 8884 SNFs.MethodsWe examined facility-level quality of care among facilities with high and low proportions of Hispanic beneficiaries with probable dementia enrolled in MA and fee-for-service (FFS) using data from Medicare-certified providers. Three facility-level measures were used to assess quality of care: (1) 30-day rehospitalization rate; (2) successful discharge from the facility to the community; and (3) Medicare 5-star quality ratings.ResultsAbout 20% of residents were admitted to 1615 facilities with a resident population that was more than 15% Hispanic. Facilities with a higher share of Hispanic residents had a lower proportion of 4- or 5-star facilities by an average of 14% to 15% compared with facilities with little to no Hispanics. In addition, these facilities had a 1% higher readmission rate. There were also some differences in the quality of facilities with high (>26.5%) and low (<26.5%) proportions of MA beneficiaries. On average, SNFs with a high concentration of MA patients have lower readmission rates and higher successful discharge, but lower star ratings.Conclusions and ImplicationsAchieving better quality of care for people with dementia may require efforts to improve the quality of care among facilities with a high concentration of Hispanic residents.     

The Influence of Hospice Use on Nursing Home and Hospital Use in Assisted Living Among Dual-Eligible Enrollees

ObjectiveThis study examined the impact of hospice enrollment on the probabilities of hospital and nursing home admissions among a sample of frail dual-eligible assisted living (AL) residents.DesignThe study used a retrospective cohort design. We estimated bivariate probit models with 2 binary outcome variables: any hospital admissions and any nursing home admissions after assisted living enrollment.SettingA total of 328 licensed AL communities accepting Medicaid waivers in Florida.ParticipantsWe identified all newly admitted dual-eligible AL residents in Florida between January and June of 2003 who had complete state assessment data (n = 658) and followed them for 6 to 12 months.MeasurementsUsing the Andersen behavioral model, predisposing (age, gender, race), enabling (marital status, available caregiver, hospice use), and need (ADL/IADL, comorbidity conditions, and incontinence) characteristics were included as predictors of 2 binary outcomes (hospital and nursing home admission). Demographics, functional status, and caregiver availability were obtained from the state client assessment database. Data on diagnosis and hospital, nursing home, and hospice use were obtained from Medicare and Medicaid claims. Death dates were obtained from the state vital statistics death certificate data.ResultsThe mean age of the study sample was 81.5 years. Three-fourths were female and 63% were White. The average resident had a combined ADL/IADL dependency score of 11.49. Fifty-eight percent of the sample had dementia. During the average 8.9-month follow-up period, 6.8% were enrolled in hospice and 10.2% died. Approximately 33% of the sample had been admitted into a hospital and 20% had been admitted into a nursing home. Bivariate probit models simultaneously predicting the likelihood of hospital and nursing home admissions showed that hospice enrollment was associated with lower likelihood of hospital (OR = 0.24, P < .01) and nursing home admissions (OR = 0.56, P < .05). Significant predictors of hospital admissions included higher Charlson Comorbidity Index score and incontinence. Predictors of nursing home admissions included higher Charlson Comorbidity Index score, the absence of available informal caregiver, and incontinence.ConclusionsHospice enrollment was associated with a lower likelihood of hospital and nursing home admissions, and, thus, may have allowed AL residents in need of palliative care to remain in the AL community. AL providers should support and facilitate hospice care among older frail dual-eligible AL residents. More research is needed to examine the impact of hospice care on resident quality of life and total health care expenditures among AL residents.     

Identifying cohabiting couples in administrative data: evidence from Medicare address data

Marital status is recognized as an important social determinant of health, income, and social support, but is rarely available in administrative data. We assessed the feasibility of using exact address data and zip code history to identify cohabiting couples using the 2018 Medicare Vital Status file and ZIP codes in the 2011–2014 Master Beneficiary Summary Files. Medicare beneficiaries meeting our algorithm displayed characteristics consistent with assortative mating and resembled known married couples in the Health and Retirement Study linked to Medicare claims. Address information represents a promising strategy for identifying cohabiting couples in administrative data including healthcare claims and other data types.

     

Growth of Physicians and Nurse Practitioners Practicing Full Time in Nursing Homes

ObjectivesThe objective was to describe the growth of physicians, nurse practitioners (NPs), and physician assistants (PAs) who practice full time in nursing homes, to assess resident and nursing home characteristics associated with receiving care from full-time providers, and describe variation among nursing homes in use of full-time providers.DesignRetrospective cohort study.Setting and ParticipantsA 20% national sample Medicare data on long-term care residents in 2008 to 2018 and the physicians, NPs, and PAs who submitted charges to Medicare for their care.MethodsWe measured the percentage of provider charges for services rendered in nursing homes, in addition to resident and facility characteristics.ResultsFull-time nursing home providers increased from 26.0% of all nursing home providers in 2008 to 44.6% in 2017. The largest increase was in NPs: from 1986 in 2008 to 4479 in 2017. Resident age, sex, Medicaid eligibility, and race/ethnicity had minimal association with the odds of having a full-time provider, whereas residents with an NP primary care provider were 23.0 times more likely (95% confidence interval = 21.6, 24.6) to have a full-time provider. Residents who received care from both a physician and an NP or PA increased from 33.6% in 2008 to 62.5% in 2018. There was large variation among facilities in the percentage of residents with full-time providers, from 5.72% of residents with full-time providers in the bottom quintile of facilities to 91.44% in the top quintile. Individual nursing homes accounted for 59% of the variation in whether a resident had a full-time provider.Conclusions and ImplicationsThe percentage of nursing home residents with full-time providers continues to grow, with very large variation among nursing homes.     

Reducing Transfers among Long-Stay Nursing Facility Residents to Acute Care Settings: Effect of the 2013‒2016 Centers for Medicare and Medicaid Services Initiative

ObjectivesFrom 2013 to 2016, the Centers for Medicare and Medicaid Services Initiative to Reduce Avoidable Hospitalizations among Nursing Facility Residents (“the Initiative”) tested a series of clinical interventions and care models, through organizations called Enhanced Care and Coordination Providers (ECCPs), with the goal of reducing avoidable inpatient hospital admissions among long-stay nursing home residents. We identify the effect of the Initiative on the probability and count of acute care transfers [capturing any transfer to the hospital, including hospitalizations (inpatient stays), emergency department visits, and observation stays].DesignWe evaluate the effect of the Initiative on the probability and count of all-cause acute care transfers and potentially avoidable acute care transfers and estimate the average effect of the Initiative per resident per year.Setting and ParticipantsWe use 2011–2016 data from the Centers for Medicare and Medicaid Services Minimum Data Set, version 3.0, nursing home resident assessments linked with Medicare eligibility and enrollment data and Medicare inpatient and outpatient hospital claims. Our sample is limited to Medicare fee-for-service beneficiaries in participating ECCP facilities and a comparison group of long-stay nursing facility residents.MethodsWe evaluate the effect of the Initiative on both the probability and count of all-cause acute care transfers and potentially avoidable acute care transfers using difference-in-differences regression models controlling for both resident-level clinical and demographic characteristics as well as facility-level characteristics.ResultsWe found statistically significant evidence of a reduction in both the probability and count of all-cause and potentially avoidable acute care transfers among long-stay nursing facility residents who participated in the Initiative, relative to comparison group residents.Conclusions and ImplicationsThe clinical interventions and care models implemented by the ECCPs show that by using staff education, facility leadership and physician engagement, and/or clinical assessment and treatment of residents who experienced a change in condition, it is possible to reduce acute care transfers of nursing facility residents. This could lead to better outcomes and reduced cost of care for this vulnerable patient population.     

Utilization by Long-Term Nursing Home Residents Under Accountable Care Organizations

ObjectivesNursing home care is common and costly. Accountable care organization (ACO) payment models, which have incentives for care that is better coordinated and less reliant on acute settings, have the potential to improve care for this high-cost population. We examined the association between ACO attribution status and utilization and Medicare spending among long-term nursing home residents and hypothesized that attribution of nursing home residents to an ACO will be associated with lower total spending and acute care use.DesignObservational propensity-matched study.Setting and ParticipantsMedicare fee-for-service beneficiaries who were long-term nursing home residents residing in areas with ≥5% ACO penetration.MethodsACO attribution and covariates used in propensity matching were measured in 2013 and outcomes were measured in 2014, including hospitalization (total and ambulatory care sensitive conditions), outpatient emergency department visits, and Medicare spending.ResultsNearly one-quarter (23.3%) of nursing home residents who survived into 2014 (n = 522,085, 76.1% of 2013 residents) were attributed to an ACO in 2013 in areas with ≥5% ACO penetration. After propensity score matching, ACO-attributed residents had significantly (P < .001) lower hospitalization rates per 1000 (total: 402.9 vs 419.9; ambulatory care sensitive conditions: 64.4 vs 71.4) and fewer outpatient ED visits (29.9 vs 33.3 per 100) but no difference in total spending ($14,071 vs $14,293 per resident, P = .058). Between 2013 and 2014, a sizeable proportion of residents’ attribution status switched (14.6%), either into or out of an ACO.Conclusions and ImplicationsACO nursing home residents had fewer hospitalizations and ED visits, but did not have significantly lower total Medicare spending. Among residents, attribution was not stable year over year.     

Accuracy of infection reporting in US nursing home ratings

Objective

To assess the accuracy of nursing home-reported data on urinary tract infections (UTIs), which are publicly reported on Nursing Home Care Compare, and pneumonia, which are not publicly reported.

Data Sources and Study Setting

We used secondary data for 100% of Medicare fee-for-service beneficiaries in the United States between 2011 and 2017.

Study Design

We identified Medicare fee-for-service beneficiaries who were nursing home residents between 2011 and 2017 and admitted to a hospital with a primary diagnosis of UTI or pneumonia. After linking these hospital claims to resident-level nursing home-reported assessment data in the Minimum Data Set, we calculated the percentages of infections that were appropriately reported and assessed variation by resident- and nursing home-level characteristics. We developed a claims-based nursing home-level measure of hospitalized infections and estimated correlations between this and publicly reported ratings.

Data Extraction Methods

Medicare fee-for-service beneficiaries who were nursing home residents and hospitalized for UTI or pneumonia during the study period were included.

Principal Findings

Reporting rates were low for both infections (UTI: short-stay residents 29.1% and long-stay residents 19.2%; pneumonia: short-stay residents 66.0% and long-stay residents 70.6%). UTI reporting rates increased when counting additional assessments, but it is unclear whether these reports are for the same versus a newly developed UTI. Black residents had slightly lower reporting rates, as did nursing homes with more Black residents. Correlations between our claims-based measure and publicly reported ratings were poor.

Conclusions

UTI and pneumonia were substantially underreported in data used for national public reporting. Alternative approaches are needed to improve surveillance of nursing home quality.     

State Variation in Chronic Opioid Use in Long-Term Care Nursing Home Residents

ObjectivePolicies and regulations on opioid use have evolved from being primarily state-to federally based. We examined the trends and variation in chronic opioid use among states and nursing homes.DesignRetrospective cohort study.Setting and ParticipantsWe used the nursing home Minimum Data Set and Medicare claims from 2014 to 2018 and included long-term care nursing home residents from each year who had at least 120 days of consecutive stay.MeasurementsChronic opioid use was defined as use for ≥90 days. Three-level hierarchical logistic regression models (resident, nursing home, state) were constructed to estimate intraclass correlation coefficient (ICC) at the state level and at the nursing home level. The ICC shows the proportion of variation in chronic opioid use that is attributable to states or nursing homes. All models were constructed separately for each calendar year and controlled for resident, nursing home, and state characteristics.ResultsWe included 3,245,714 nursing home stays from 2014 to 2018, representing 1,502,131 unique residents. The stays ranged from 676,413 in 2014 to 594,874 in 2018, with residents contributing a maximum of 1 stay per year. Chronic opioid use among nursing home residents declined from 14.1% in 2014 to 11.4% in 2018. The variation (ICC) in chronic opioid use among states declined from 2.5% in 2014 to 1.7% in 2018. In contrast, the variation (ICC) among nursing homes increased from 5.6% in 2014 to 6.5% in 2018.Conclusions and ImplicationsVariation in chronic opioid use declined by one-third at the state level but not at the nursing home level. National guidelines on opioid use and federal policies on opioid use may have contributed to reducing state-level variation in chronic opioid use.     

Medicare-Certified Home Health Care: Urban-Rural Differences in Utilization

CONTEXT: Availability of Medicare-certified home health care (HHC) to rural elders can prevent more expensive institutional care. To date, utilization of HHC by rural elders has not been studied in detail. PURPOSE: To examine urban-rural differences in Medicare HHC utilization. METHODS: The 2002 100% Medicare HHC claims and denominator files were used to estimate use of HHC and to make urban-rural comparisons on the basis of utilization levels within ZIP codes. FINDINGS: Overall, the proportion of Medicare beneficiaries living in areas with little HHC utilization is relatively low. Rural elders, however, are more likely than their urban counterparts to live in such areas. Less than 1% of urban beneficiaries live in ZIP codes with no or low use of HHC, but over 17% of the most rural beneficiaries live in such areas. CONCLUSIONS: Continued monitoring of rural HHC utilization and access is important, especially as Medicare seeks to evaluate the effectiveness of payment increases to rural home health agencies.     

Association of Race and Poverty With Mortality Among Nursing Home Residents on Maintenance Dialysis

ObjectivesThe association of race, ethnicity, and socioeconomic factors with survival rates of nursing home (NH) residents with treated end-stage renal disease (ESRD) is unclear. We examined whether race/ethnicity, ZIP code–level, and individual-level indicators of poverty relate to mortality of NH residents on dialysis.DesignRetrospective cohort study.Participants/SettingUsing the United States Renal Data System database, we identified 56,194 nursing home residents initiated on maintenance dialysis from January 1, 2007 through December 31, 2013, followed until May 31, 2014.MeasurementsWe evaluated baseline characteristics of the NH cohort on dialysis, including race and ethnicity. We assessed the Medicare-Medicaid dual eligibility status as an indicator of individual-level poverty and ZIP code–level median household income (MHI) data. We conducted Cox regression analyses with all-cause mortality as the outcome variable, adjusted for clinical and sociodemographic factors including end-of-life preferences.ResultsAdjusted Cox analysis showed a significantly lower risk of death among black vs nonblack NH residents [adjusted hazard ratio (AHR) 0.91, 95% confidence interval (CI) 0.89, 0.94]. Dual-eligibility status was significantly associated with lower risk of death compared to those with Medicare alone (AHR 0.80, 95% CI 0.78, 0.82). Compared to those in higher MHI quintile levels, NH ESRD patients in the lowest quintile were significantly associated with higher risk of death (AHR 1.09, 95% CI 1.06, 1.13).Conclusions/ImplicationsBlack and Hispanic NH residents on dialysis had an apparent survival advantage. This “survival paradox” occurs despite well-documented racial/ethnic disparities in ESRD and NH care and warrants further exploration that could generate new insights into means of improving survival of all NH residents on dialysis. Area-level indicator of poverty was independently associated with mortality, whereas dual-eligibility status for Medicare and Medicaid was associated with lower risk of death, which could be partly explained by improved access to care.     

Are Dual Eligibles Admitted to Poorer Quality Skilled Nursing Facilities?

BackgroundDual eligibles, persons who qualify for both Medicare and Medicaid coverage, often receive poorer quality care relative to other Medicare beneficiaries.ObjectivesTo determine whether dual eligibles are discharged to lower quality post-acute skilled nursing facilities (SNFs) compared with Medicare-only beneficiaries.SubjectsA total of 692,875 Medicare fee-for-service patients (22% duals) who were discharged for Medicare paid SNF care between July 2004 and June 2005.MeasuresMedicare enrollment and the Medicaid Analytic Extract files were used to determine dual eligibility. The proportion of Medicaid patients and nursing staff characteristics provided measures of SNF quality.ResultsDuals are more likely to be discharged to SNFs with a higher share of Medicaid patients and fewer nurses. These results are robust to estimation with an alternative subsample of patients based on primary diagnoses, propensity of being dual eligible, and likelihood of remaining in the nursing home.ConclusionsDisparities exist in access to quality SNF care for duals. Strategies to improve discharge planning processes are required to redirect patients to higher quality providers, regardless of Medicaid eligibility.     

State Variability in Assisted Living Residents’ End-of-Life Care Trajectories

ObjectiveA growing and increasingly vulnerable population resides in assisted living. States are responsible for regulating assisted living and vary in their requirements. Little is known about how this variability translates to differences in the dying experiences of assisted living residents. The objective of this study is to describe assisted living residents’ end-of-life care trajectories and how they vary by state.DesignObservational retrospective cohort study.Setting and ParticipantsUsing Medicare data and a methodology developed to identify beneficiaries residing in larger assisted living communities (25+ beds), we identified a cohort of 40,359 assisted living residents in the continental United States enrolled in traditional Medicare and who died in 2016.MethodsWe used Medicare data and the Residential History File to examine assisted living residents’ locations of care and services received in the last 30 days of life.ResultsNationally, 57% of our cohort died outside of an institutional setting, that is, hospital or nursing home (n = 23,165), 18,396 of whom received hospice at the time of death. Rates of hospitalization and transition to a nursing home increased during the last 30 days of life. We observed significant interstate variability in the adjusted number of days spent in assisted living in the month before death [from 13.6 days (95% confidence interval [CI] 11.8, 15.4) in North Dakota to 24.0 days (95% CI 22.7, 25.2) in Utah] and wider variation in the adjusted number of days receiving hospice in the last month of life, ranging from 2.1 days (95% CI 1.0, 3.2) in North Dakota to 13.8 days (95% CI 12.1, 15.5) in Utah.Conclusions and ImplicationsFindings suggest that assisted living residents’ dying trajectories vary significantly by state. To ensure optimal end-of-life outcomes for assisted living residents, state policy makers should consider how their regulations influence end-of-life care in assisted living, and future research should examine factors (eg, state regulations, market characteristics, provider characteristics) that may enable assisted living residents to die in place and contribute to differential access to hospice services.