Are dual eligibles admitted to poorer quality skilled nursing facilities?

Access to preferred skilled nursing facilities: Transitional care pathways for patients with Alzheimer's disease and related dementias

OBJECTIVE

The study aimed to assess whether individuals with Alzheimer's disease and related dementias (ADRD) experience restricted access to hospitals' high-volume preferred skilled nursing facility (SNF) partners.

DATA SOURCES

The data source includes acute care hospital to SNF transitions identified using 100% Medicare Provider Analysis and Review files, 2017-2019.

STUDY DESIGN

We model and compare the estimated effect of facility "preferredness" on SNF choice for patients with and without ADRD. We use conditional logistic regression with a 1:1 patient sample otherwise matched on demographic and encounter characteristics.

DATA COLLECTION

Our matched sample included 58,190 patients, selected from a total observed population of 3,019,260 Medicare hospitalizations that resulted in an SNF transfer between 2017 and 2019.

PRINCIPAL FINDINGS

Overall, patients with ADRD have a lower probability of being discharged to a preferred SNF (52.0% vs. 54.4%, p < 0.001). Choice model estimation using our matched sample suggests similarly that the marginal effect of preferredness on a patient choosing a proximate SNF is 2.4 percentage points lower for patients with ADRD compared with those without (p < 0.001). The differential effect of preferredness based on ADRD status increases when considering (a) the cumulative effect of multiple SNFs in close geographic proximity, (b) the magnitude of the strength of hospital-SNF relationship, and (c) comparing patients with more versus less advanced ADRD.

CONCLUSIONS

Preferred relationships are significantly predictive of where a patient receives SNF care, but this effect is weaker for patients with ADRD. To the extent that these high-volume relationships are indicative of more targeted transitional care improvements from hospitals, ADRD patients may not be fully benefiting from these investments. Hospital leaders can leverage integrated care relationships to reduce SNFs' perceived need to engage in selection behavior (i.e., enhanced resource sharing and transparency in placement practices). Policy intervention may be needed to address selection behavior and to support hospitals in making systemic improvements that can better benefit all SNF partners (i.e., more robust information sharing systems).

Quality of Nursing Homes Among ADRD Residents Newly Admitted From the Community: Does Race Matter?

OBJECTIVE

To examine racial differences in admissions to high-quality nursing homes (NHs) among residents with Alzheimer disease and related dementias (ADRD), and whether such racial differences can be influenced by dementia-related state Medicaid add-on policies.

DESIGN

Retrospective cross-sectional study.

SETTING AND PARTICIPANTS

The study included 786,096 Medicare beneficiaries with ADRD newly admitted from the community to NHs between January 1, 2011 and December 31, 2017.

METHODS

2010-2017 Minimum Data Set 3.0, Medicare Beneficiary Summary File, Medicare Provider Analysis and Review, and Nursing Home Compare data were linked. For each individual, we constructed a "choice" set of NHs based on the distance between the NH and an individual residential zip code. McFadden's choice models were estimated to examine the relationship between admission into a high-quality (4- or 5-star) NH and individual characteristics, specifically race, and state Medicaid dementia-related add-on policies.

RESULTS

Among the identified residents, 89% were White, and 11% were Black. Overall, 50% of White and 35% of Black individuals were admitted to high-quality NHs. Black individuals were more likely to be Medicare-Medicaid dually eligible. Results from McFadden's model suggested that Black individuals were less likely to be admitted to a high-quality NH than White individuals (OR = 0.615, P < .01), and such differences were partially explained by some individual characteristics. Furthermore, we found that the racial difference was reduced in states with dementia-related add-on policies, compared with states without these policies (OR = 1.16, P < .01).

CONCLUSIONS AND IMPLICATIONS

Black individuals with ADRD were less likely to be admitted to high-quality NHs than White individuals. Such difference was partially related to individuals' health conditions, social-economic status, and state Medicaid add-on policies. Policies to reduce barriers to high-quality NHs among Black individuals are necessary to mitigate health inequity in this vulnerable population.

Severe neighborhood deprivation and nursing home staffing in the United States

BACKGROUND

Low nursing home staffing in the United States is a growing safety concern. Socioeconomic deprivation in the local areas surrounding a nursing home may be a barrier to improving staffing rates but has been poorly studied. Thus, the objective of this paper was to assess the relationship between neighborhood deprivation and nursing home staffing in the United States.

METHODS

This cross-sectional study used 2018 daily payroll-based staffing records and address data for 12,609 nursing homes in the United States linked with resident assessment data. Our primary exposure of interest was severe economic deprivation at the census block group (neighborhood) level, defined as an area deprivation index score ≥85/100. The primary outcome was hours worked per resident-day among nursing home employees providing direct resident care. Marginal linear regression models and generalized estimating equations with robust sandwich-type standard errors were used to estimate associations between severe neighborhood deprivation and staffing rates.

RESULTS

Compared to less deprived neighborhoods, unadjusted staffing rates in facilities located within severely deprived neighborhoods were 38% lower for physical and occupational therapists, 30% lower for registered nurses (RNs), and 5% lower for certified nursing assistants. No disparities in licensed practical nurse (LPN) staffing were observed. In models with state-level and rurality fixed effects and clustered on the county, a similar pattern of disparities was observed. Specifically, RN staffing per 100 resident-days was significantly lower in facilities located within severely deprived neighborhoods as compared to those in less deprived areas (mean difference: 5.6 fewer hours, 95% confidence interval [CI] 4.2-6.9). Disparities of lower magnitude were observed for other clinical disciplines except for LPNs.

CONCLUSIONS

Significant staffing disparities were observed within facilities located in severely deprived neighborhoods. Targeted interventions, including workforce recruitment and retention efforts, may be needed to improve staffing levels for nursing homes in deprived neighborhoods.

Factors Influencing Admission Decisions in Skilled Nursing Facilities: A Retrospective Quantitative Study (Preprint)

BACKGROUND

Occupancy rates within skilled nursing facilities (SNFs) in the United States have reached a record low. Understanding drivers of occupancy, including admission decisions, is critical for assessing the recovery of the long-term care sector as a whole. We provide the first comprehensive analysis of financial, clinical, and operational factors that impact whether a patient referral to an SNF is accepted or denied, using a large health informatics database.

OBJECTIVE

Our key objectives were to describe the distribution of referrals sent to SNFs in terms of key referral- and facility-level features; analyze key financial, clinical, and operational variables and their relationship to admission decisions; and identify the key potential reasons behind referral decisions in the context of learning health systems.

METHODS

We extracted and cleaned referral data from 627 SNFs from January 2020 to March 2022, including information on SNF daily operations (occupancy and nursing hours), referral-level factors (insurance type and primary diagnosis), and facility-level factors (overall 5-star rating and urban versus rural status). We computed descriptive statistics and applied regression modeling to identify and describe the relationships between these factors and referral decisions, considering them individually and controlling for other factors to understand their impact on the decision-making process.

RESULTS

When analyzing daily operation values, no significant relationship between SNF occupancy or nursing hours and referral acceptance was observed (P>.05). By analyzing referral-level factors, we found that the primary diagnosis category and insurance type of the patient were significantly related to referral acceptance (P<.05). Referrals with primary diagnoses within the category "Diseases of the Musculoskeletal System" are least often denied whereas those with diagnoses within the "Mental Illness" category are most often denied (compared with other diagnosis categories). Furthermore, private insurance holders are least often denied whereas "medicaid" holders are most often denied (compared with other insurance types). When analyzing facility-level factors, we found that the overall 5-star rating and urban versus rural status of an SNF are significantly related to referral acceptance (P<.05). We found a positive but nonmonotonic relationship between the 5-star rating and referral acceptance rates, with the highest acceptance rates found among 5-star facilities. In addition, we found that SNFs in urban areas have lower acceptance rates than their rural counterparts.

CONCLUSIONS

While many factors may influence a referral acceptance, care challenges associated with individual diagnoses and financial challenges associated with different remuneration types were found to be the strongest drivers. Understanding these drivers is essential in being more intentional in the process of accepting or denying referrals. We have interpreted our results using an adaptive leadership framework and suggested how SNFs can be more purposeful with their decisions while striving to achieve appropriate occupancy levels in ways that meet their goals and patients' needs.

Social determinants of recovery

PURPOSE OF REVIEW

The purpose of this review is to examine evidence describing the influence of social determinants on recovery following hospitalization with critical illness. In addition, it is meant to provide insight into the several mechanisms through which social factors influence recovery as well as illuminate approaches to addressing these factors at various levels in research, clinical care, and policy.

RECENT FINDINGS

Social determinants of health, ranging from individual factors like social support and socioeconomic status to contextual ones like neighborhood deprivation, are associated with disability, cognitive impairment, and mental health after critical illness. Furthermore, many social factors are reciprocally related to recovery wherein the consequences of critical illness such as financial toxicity and caregiver burden can put essential social needs under strain turning them into barriers to recovery.

SUMMARY

Recovery after hospitalization for critical illness may be influenced by many social factors. These factors warrant attention by clinicians, health systems, and policymakers to enhance long-term outcomes of critical illness survivors.

Association Between Socioeconomic Disadvantage and Decline in Function, Cognition, and Mental Health After Critical Illness Among Older Adults : A Cohort Study

BACKGROUND

Older adults admitted to an intensive care unit (ICU) are at risk for developing impairments in function, cognition, and mental health. It is not known whether socioeconomically disadvantaged older persons are at greater risk for these impairments than their less vulnerable counterparts.

OBJECTIVE

To evaluate the association between socioeconomic disadvantage and decline in function, cognition, and mental health among older survivors of an ICU hospitalization.

DESIGN

Retrospective analysis of a longitudinal cohort study.

SETTING

Community-dwelling older adults in the National Health and Aging Trends Study (NHATS).

PARTICIPANTS

Participants with ICU hospitalizations between 2011 and 2017.

MEASUREMENTS

Socioeconomic disadvantage was assessed as dual-eligible Medicare-Medicaid status. The outcome of function was defined as the count of disabilities in 7 activities of daily living and mobility tasks, the cognitive outcome as the transition from no or possible to probable dementia, and the mental health outcome as the Patient Health Questionnaire-4 score in the NHATS interview after ICU hospitalization. The analytic sample included 641 ICU hospitalizations for function, 458 for cognition, and 519 for mental health.

RESULTS

After accounting for sociodemographic and clinical characteristics, dual eligibility was associated with a 28% increase in disability after ICU hospitalization (incidence rate ratio, 1.28; 95% CI, 1.00 to 1.64); and nearly 10-fold greater odds of transitioning to probable dementia (odds ratio, 9.79; 95% CI, 3.46 to 27.65). Dual eligibility was not associated with symptoms of depression and anxiety after ICU hospitalization (incidence rate ratio, 1.33; 95% CI, 0.99 to 1.79).

LIMITATION

Administrative data, variability in timing of baseline and outcome assessments, proxy selection.

CONCLUSION

Dual-eligible older persons are at greater risk for decline in function and cognition after an ICU hospitalization than their more advantaged counterparts. This finding highlights the need to prioritize low-income seniors in rehabilitation and recovery efforts after critical illness and warrants investigation into factors leading to this disparity.

PRIMARY FUNDING SOURCE

National Institute on Aging.

Risk Factors of Skilled Nursing Facility Admissions and the Interrelation With Hospitalization and Amount of Informal Caregiving Received

BACKGROUND

The correlations between skilled nursing facility (SNF) admissions, number of hospitalizations, and informal caregiving hours received after adjusting for physical and cognitive function and sociodemographic covariates are not well understood.

OBJECTIVE

The objective of this study was to better understand risk factors for SNF admissions and the interrelation with hospitalizations and amount of informal caregiving received, this study applied a novel joint modeling analysis to simultaneously explore the correlation and shared information between the 3 outcomes.

RESEARCH DESIGN

This was an observational follow-up study.

SUBJECTS

Data from 4836 older Americans included in the 2011-2015 rounds of the National Health and Aging Trends Study were linked with Centers for Medicare & Medicaid Services.

MEASURES

We jointly modeled SNF admission, hospital admissions, and informal caregiving hours received while accounting for possible risk factors. We addressed missing values by multiple imputation with chained equations.

RESULTS

SNF admission evidenced a strong positive correlation with hospital admission, and SNF admission evidenced a weak positive correlation with the informal caregiving hours received after adjustment for important risk factors. Non-Hispanic White race/ethnicity, living alone, not being Medicaid eligible, Alzheimer disease and related dementias diagnosis, activities of daily living disabilities, and frailty were associated with increased risk of SNF admissions and any/number of hospital admission. Lower educational level was also associated with the latter. Medicaid eligibility was the only factor not associated with any nor numbers of informal caregiving hours received.

CONCLUSIONS

Sociodemographic and health factors were important for predicting SNF admissions. After adjustment for important risk factors, SNF evidenced a strong positive correlation with the number of hospitalizations and a weak positive correlation with the hours of informal caregiving received.

Association of Medicare-Medicaid Dual Eligibility and Race and Ethnicity With Ischemic Stroke Severity

IMPORTANCE

Black and Hispanic US residents are disproportionately affected by stroke incidence, and patients with dual eligibility for Medicare and Medicaid may be predisposed to more severe strokes. Little is known about differences in stroke severity for individuals with dual eligibility, Black individuals, and Hispanic individuals, but understanding hospital admission stroke severity is the first important step for focusing strategies to reduce disparities in stroke care and outcomes.

OBJECTIVE

To examine whether dual eligibility and race and ethnicity are associated with stroke severity in Medicare beneficiaries admitted to acute hospitals with ischemic stroke.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cross-sectional study was conducted using Medicare claims data for patients with ischemic stroke admitted to acute hospitals in the United States from October 1, 2016, to November 30, 2017. Data were analyzed from July 2021 and January 2022.

EXPOSURES

Dual enrollment for Medicare and Medicaid; race and ethnicity categorized as White, Black, Hispanic, and other.

MAIN OUTCOMES AND MEASURES

Claim-based National Institutes of Health Stroke Scale (NIHSS) categorized into minor (0-7), moderate (8-13), moderate to severe (14-21), and severe (22-42) stroke.

RESULTS

Our sample included 45 459 Medicare fee-for-service patients aged 66 and older (mean [SD] age, 80.2 [8.4]; 25 303 [55.7%] female; 7738 [17.0%] dual eligible; 4107 [9.0%] Black; 1719 [3.8%] Hispanic; 37 715 [83.0%] White). In the fully adjusted models, compared with White patients, Black patients (odds ratio [OR], 1.21; 95% CI, 1.06-1.39) and Hispanic patients (OR, 1.54; 95% CI, 1.29-1.85) were more likely to have a severe stroke. Using White patients without dual eligibility as a reference group, White patients with dual eligibility were more likely to have a severe stroke (OR, 1.75; 95% CI, 1.56-1.95). Similarly, Black patients with dual eligibility (OR, 2.15; 95% CI, 1.78-2.60) and Hispanic patients with dual eligibility (OR, 2.50; 95% CI, 1.98-3.16) were more likely to have a severe stroke.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, Medicare fee-for-service patients with ischemic stroke admitted to acute hospitals who were Black or Hispanic had a higher likelihood of worse stroke severity. Additionally, dual eligibility status had a compounding association with stroke severity regardless of race and ethnicity. An urgent effort is needed to decrease disparities in access to preventive and poststroke care for dual eligible and minority patients.

Brain tumor craniotomy outcomes for dual-eligible medicare and medicaid patients: a 10-year nationwide analysis

INTRODUCTION

Dual-eligible (DE) patients, simultaneous Medicare and Medicaid beneficiaries, have been shown to have poorer clinical outcomes while incurring higher resource utilization. However, neurosurgical oncology outcomes for DE patients are poorly characterized. Accordingly, we examined the impact of DE status on perioperative outcomes following glioma, meningioma, or metastasis resection.

METHODS

We identified all admissions undergoing a craniotomy for glioma, meningioma, or metastasis resection in the National Inpatient Sample from 2002 to 2011. Assessed outcomes included inpatient mortality, complications, discharge disposition, length of stay (LOS), and hospital costs. Multivariable regression adjusting for 13 patient, severity, and hospital characteristics assessed the association between DE status and outcomes, relative to four reference insurance groups (Medicare-only, Medicaid-only, private insurance, self-pay).

RESULTS

Of 195,725 total admissions analyzed, 3.0% were dual-eligible beneficiaries (n = 5933). DEs were younger than Medicare admissions (P < 0.001) but older than Medicaid, private, and self-pay admissions (P < 0.001). Relative to other insurance groups, DEs also exhibited higher severity of illness, risk of mortality, and Charlson Comorbidity Index scores as well as treatment at low-volume hospitals (all P < 0.001). DEs had lower mortality than self-pay admissions (odds ratio [OR] 0.47, P = 0.017). Compared to Medicare, Medicaid, private, and self-pay admissions, DEs had lower rates of discharge disposition (OR 0.53, 0.50, 0.34, and 0.27, respectively, all P < 0.001). DEs also had higher complications (OR 1.23 and 1.20, respectively, both P < 0.05) and LOS (β = 1.06 and 1.13, respectively, both P < 0.01) than Medicare and private insurance beneficiaries. Differences in discharge disposition remained significant for all three tumor subtypes, but only glioma DE admissions continued to exhibit higher complications and LOS.

CONCLUSIONS

DEs undergoing definitive craniotomy for brain tumor had higher rates of unfavorable discharge disposition compared to all other insurance groups and, especially for glioma surgery, had higher inpatient complication rates and LOS. Practice and policy reforms to improve outcomes for this vulnerable clinical population are warranted.

Successful Community Discharge Among Older Adults With Traumatic Brain Injury in Skilled Nursing Facilities

OBJECTIVE

To identify patient, injury, and functional status characteristics associated with successful discharge to the community following a skilled nursing facility (SNF) stay among older adults hospitalized following traumatic brain injury (TBI).

SETTING

Skilled nursing facilities.

PARTICIPANTS

Medicare fee-for-service beneficiaries admitted to an SNF after hospitalization for TBI.

DESIGN

Retrospective cohort study using Medicare administrative data merged with the National Trauma Data Bank using a multilayered Bayesian record linkage approach.

MAIN OUTCOME MEASURE

Successful community discharge: discharged alive within 100 days of SNF admission and remaining in the community for 30 days or more without dying or admission to a healthcare facility.

RESULTS

Medicaid enrollment, incontinence, decreased independence with activities of daily living, and cognitive impairment were associated with lower odds of successful discharge, whereas race "other" was associated with higher odds of successful discharge. Injury factors including worse injury severity (Glasgow Coma Scale and Abbreviated Injury Scale scores) and fall-related injury mechanism were not associated with successful discharge.

CONCLUSION

Among older adults with TBI who discharge to an SNF, sociodemographic and functional status characteristics are associated with successful discharge and may be useful to clinicians for discharge planning. Acute injury severity indices may have limited utility in predicting discharge disposition once a patient is admitted to an SNF for post-acute care.

Higher hospital referral concentration associated with lower-risk patients in skilled nursing facilities

OBJECTIVE

To examine whether stronger referral relationships between hospitals and skilled nursing facilities (SNF) are associated with lower-risk patients being admitted to SNF.

DATA SOURCES/COLLECTION

We used MedPAR data to estimate referral relationship strength and nursing home survey data (OSCAR and CASPER) to determine the risk of patient admissions at nearly 14 000 SNFs from 2008 to 2014.

STUDY DESIGN

We examined the association of hospital referral concentration with the percentage of higher-risk patients admitted to non-hospital-based (freestanding) SNFs using an instrumental variables approach. We used the distance between patients and SNFs and hospitals and SNFs as the instrument.

DATA COLLECTION/EXTRACTION METHODS

We used previously collected MedPAR and OSCAR/CASPER survey data.

PRINCIPAL FINDINGS

We find greater observed referral concentration among freestanding SNFs is associated with lower percentages of patients with pressure sores (coefficient, -2.64; 95% CI, [-2.82 to -2.46]), catheters (-0.55; [-0.74 to -0.36]), and physical restraints (-0.16; [-0.29 to -0.03]) at admission to a skilled nursing facility.

CONCLUSIONS

We find evidence that freestanding SNFs with stronger hospital referral relationships may be admitting less risky patients, possibly contributing to disparities across SNFs.

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.

Patient Characteristics Are Not Associated With Documentation of Weight and Heart Failure Related Sign and Symptom Assessment in Skilled Nursing Facilities

OBJECTIVE

Monitoring body weight and signs and symptoms related to heart failure (HF) can alert clinicians to a patient's worsening condition but the degree to which these practices are performed in skilled nursing facilities (SNFs) is unknown. This study analyzed the frequency of these monitoring practices in SNFs and explored associated factors at both the patient and SNF level.

DESIGN

An observational study of data from the usual care arm of the SNF Connect Trial, a randomized cluster trial of a HF disease management intervention. The data extracted from charts were combined with publicly available facility data. A linear regression model was estimated to evaluate the frequency of HF disease management conditional on patient and facility covariates.

SETTING

Data from 28 SNFs in Colorado.

PARTICIPANTS

Patients discharged from hospital to SNFs with a primary or secondary diagnosis of HF.

MEASUREMENTS

Patient-level covariates included demographics, New York Heart Association class, type of HF, and Charlson comorbidity index. Facility-level covariates were from Nursing Home Compare.

RESULTS

The sample (n = 320) was majority female (66%), white (93%), with mean age 80 ± 10 years and a Charlson comorbidity index of 3.2 ± 1.5. Seventy percent had HF with preserved ejection fraction, mean ejection fraction of 50 ± 16% and 40% with a New York Heart Association class III-IV. On average, patients were weighed 40% of their days in the SNF and had documentation of at least 1 HF-related sign or symptom 70% of their days in the SNF. Patient-level factors were not associated with frequency of documenting weight and assessments of HF-related signs/symptoms. Health Inspection Star Rating was positively associated with weight monitoring (P < .05) but not associated with symptom assessment.

CONCLUSIONS AND IMPLICATIONS

Patient-level factors are not meaningfully associated with the documentation of weight tracking or sign/symptom assessment. Monitoring weight was instead associated with the Health Inspection Star Rating.

The Quality of Nursing Homes That Serve Patients With Human Immunodeficiency Virus

BACKGROUND/OBJECTIVES

As the national population of persons living with human immunodeficiency virus (HIV) ages, they will require greater postacute and long-term care use. Little is known about the quality of nursing homes (NHs) to which patients with HIV are admitted. In this study, we assess the association between the number of persons with HIV admitted annually to a given NH (HIV concentration) and that NH's quality outcomes.

DESIGN

A cross-sectional comparative study.

SETTING

NHs in nine states, from 2001 to 2012.

PARTICIPANTS

A total of 46 918 NH-years accounting for 67 301 admissions by patients with HIV.

MEASUREMENTS

We used 100% Medicaid Analytic Extract, Minimum Dataset 2.0 and 3.0, and Medicare claims from 2001 to 2012 from nine states to examine the association between HIV concentration and NH quality. Persons were classified as HIV positive on the basis of all available data sources, and a NH's percentage of new admissions with HIV was calculated (HIV concentration). We then compared differences in star ratings, rehospitalization rates, NH survey deficiencies, and restraint use by a NH's percentage of admissions with HIV, using linear random effects models.

RESULTS

After adjusting for NH characteristics, zip code characteristics, and state and year fixed effects, NHs with greater than 0% to 5% of admissions with HIV had a 0.6 lower star rating (P < .001), and a 0.4% percentage point higher 30-day rehospitalization rate (P < .01), compared to those with no HIV admissions. NHs with 5% to 50% of admissions with HIV had 7.0 more deficiencies (P < .001), a 0.1 lower star rating (P < .001), and a 1.5 percentage point higher rehospitalization rate (P < .001).

CONCLUSION

Persons with HIV were generally admitted to lower-quality NHs compared to persons without HIV. More efforts are needed to ensure that persons with HIV have access to high-quality NHs. J Am Geriatr Soc 67:2615-2621, 2019.

U.S. Nursing Home Violations of International and Domestic Human Rights Standards

We present a review of the international covenants and conventions and U.S. domestic laws and regulations that are designed to protect nursing home residents in the United States. Based on a review of research studies, government reports, and news reports, we found extensive evidence of widespread and systematic abuse and neglect of nursing home residents in the United States that needs urgent government action to protect the basic human rights of residents.

Health Insurance and Disparities in Mortality among Older Survivors of Critical Illness: A Population Study

OBJECTIVES

The 1.5 million Medicare beneficiaries who survive intensive care each year have a high post-hospitalization mortality rate. We aimed to determine whether mortality after critical illness is higher for Medicare beneficiaries with Medicaid compared with those with commercial insurance.

DESIGN

A retrospective cohort study from 2010 through 2014 with 1 year of follow-up using the New York Statewide Planning and Research Cooperative System database.

SETTING

A New York State population-based study of older (age ≥65 y) survivors of intensive care.

PARTICIPANTS

Adult Medicare beneficiaries age 65 years or older who were hospitalized with intensive care at a New York State hospital and survived to discharge.

INTERVENTION

None.

MEASUREMENT

Mortality in the first year after hospital discharge.

RESULTS

The study included 340 969 Medicare beneficiary survivors of intensive care with a mean (standard deviation) age of 77 (8) years; 20% died within 1 year. There were 152 869 (45%) with commercial insurance, 78 577 (23%) with Medicaid, and 109 523 (32%) with Medicare alone. Compared with those with commercial insurance, those with Medicare alone had a similar 1-year mortality rate (adjusted hazard ratio [aHR] = 1.01; 95% confidence interval [CI] = .99-1.04), and those with Medicaid had a 9% higher 1-year mortality rate (aHR = 1.09; 95% CI = 1.05-1.12). Among those discharged home, the 1-year mortality rate did not vary by insurance coverage, but among those discharged to skilled-care facilities (SCFs), the 1-year mortality rate was 16% higher for Medicaid recipients (aHR = 1.16; 95% CI = 1.12-1.21; P for interaction <.001).

CONCLUSIONS

Older adults with Medicaid insurance have a higher 1-year post-hospitalization mortality compared with those with commercial insurance, especially among those discharged to SCFs. Future studies should investigate care disparities at SCFs that may mediate these higher mortality rates. J Am Geriatr Soc 67:2497-2504, 2019.

Care experiences among dually enrolled older adults with cancer: SEER-CAHPS, 2005-2013

PURPOSE

Given the associations between poverty and poorer outcomes among older adults with cancer, we sought to understand the effects of dual enrollment in Medicare and Medicaid-as a marker of poverty-on self-reported care experiences among seniors diagnosed with cancer.

METHODS

Retrospective, observational study using cancer registry, Medicare claims, and care experience survey data (Surveillance, Epidemiology, and End Results [SEER]-Consumer Assessment of Healthcare Providers and Systems [CAHPS®]) for a national sample of fee-for-service (FFS) and Medicare Advantage (MA) enrollees aged 65 or older. We included people with one incident primary, malignant cancer diagnosed between 2005 and 2011, surveyed within 2 years after diagnosis (n = 9,800; 995 dual enrollees). Medicare CAHPS measures included 5 global ratings and 3 composite scores.

RESULTS

After adjustment for potential confounders, people with cancer histories who were dually enrolled were significantly more likely to report better experiences than non-duals on 2 measures (Medicare/their health plan: adjusted odds ratio [aOR]: 0.68, 95% confidence interval [CI] 0.53-0.87; prescription drug plan [PDP]: aOR: 0.54, 95% CI 0.40-0.73).

CONCLUSIONS

Dual enrollees with cancer reported better experiences than Medicare-only enrollees in terms of their health plan (Medicare FFS or Medicare Advantage) and their PDP. Better ratings among dually enrolled beneficiaries suggest possible divergence between health outcomes and care experiences, warranting additional investigation.

What Do Clinicians Caring for Aging Patients Need to Know About Private Long-Term Care Insurance?

Preparing for future long-term care (LTC) needs is a critical component of successful aging. Clinicians with aging patient panels may be a valuable source of information about the importance of LTC planning and the mechanisms available to do so, including private LTC insurance (LTCi). This article provides an overview, from a clinician's perspective, of current LTC financing and the key questions patients should consider when assessing LTCi. Although actual purchasing decisions likely require support from impartial financial experts, clinicians may be well positioned to help initiate difficult conversations about LTC planning and point patients to unbiased resources concerning LTCi. J Am Geriatr Soc 67:2167-2173, 2019.

Consumer Response to Composite Ratings of Nursing Home Quality

Health care report cards are intended to address information asymmetries and enable consumers to choose providers of better quality. However, the form of the information may matter to consumers. Nursing Home Compare, a website that publishes report cards for nursing homes, went from publishing a large set of indicators to a composite rating in which nursing homes are assigned one to five stars. We evaluate whether the simplified ratings motivated consumers to choose better-rated nursing homes. We use a regression discontinuity design to estimate changes in new admissions six months after the publication of the ratings. Our main results show that nursing homes that obtained an additional star gained more admissions, with heterogeneous effects depending on baseline number of stars. We conclude that the form of quality reporting matters to consumers, and that the increased use of composite ratings is likely to increase consumer response.

Medicaid and Nursing Home Choice: Why Do Duals End Up in Low-Quality Facilities?

We provide empirical evidence on the relative importance of specific observable factors that can explain why individuals enrolled in both Medicare and Medicaid (duals) are concentrated in lower quality nursing homes, relative to those not on Medicaid. Descriptive results show that duals are 9.7 percentage points more likely than nonduals to be admitted to a low-quality (1-2 stars) nursing home. Using the Blinder-Oaxaca decomposition approach in a multivariate framework, we find that 35.4% of the difference in admission to low-quality nursing homes can be explained by differences in the distribution of observable characteristics. Differences in education and distance to high-quality nursing homes are important drivers, as are health status and race. Our findings highlight the need for creative policy solutions targeting the modifiable factors to reduce the disparity.

Adjusting for social risk factors impacts performance and penalties in the hospital readmissions reduction program

OBJECTIVE

Medicare's Hospital Readmissions Reduction Program (HRRP) does not account for social risk factors in risk adjustment, and this may lead the program to unfairly penalize safety-net hospitals. Our objective was to determine the impact of adjusting for social risk factors on HRRP penalties.

STUDY DESIGN

Retrospective cohort study.

DATA SOURCES/STUDY SETTING

Claims data for 2 952 605 fee-for-service Medicare beneficiaries with acute myocardial infarction (AMI), congestive heart failure (CHF) or pneumonia from December 2012 to November 2015.

PRINCIPAL FINDINGS

Poverty, disability, housing instability, residence in a disadvantaged neighborhood, and hospital population from a disadvantaged neighborhood were associated with higher readmission rates. Under current program specifications, safety-net hospitals had higher readmission ratios (AMI, 1.020 vs 0.986 for the most affluent hospitals; pneumonia, 1.031 vs 0.984; and CHF, 1.037 vs 0.977). Adding social factors to risk adjustment cut these differences in half. Over half the safety-net hospitals saw their penalty decline; 4-7.5 percent went from having a penalty to having no penalty. These changes translated into a $17 million reduction in penalties to safety-net hospitals.

CONCLUSIONS

Accounting for social risk can have a major financial impact on safety-net hospitals. Adjustment for these factors could reduce negative unintended consequences of the HRRP.

Depression and Unmet Needs for Assistance With Daily Activities Among Community-Dwelling Older Adults

Background and Objectives

This study aims to investigate the impact of depressive symptoms on adverse consequences of unmet needs for assistance with daily activities among community-dwelling older adults.

Research Design and Methods

Data came from round 1 to 5 of the National Health and Aging Trends Study. Study sample consisted of 3,400 Medicare beneficiaries needing assistance with activities of daily living (ADL), instrumental activities of daily living (IADL), or mobility for any two consecutive years between 2011 and 2015. Study outcome was the number of self-reported adverse consequences of unmet needs for assistance with daily activities (e.g., went without eating, wet or soiled clothes). Mixed-effects negative binomial regression was used to estimate the association of lagged depressive symptoms and covariates in period t-1 and the number of adverse consequences of unmet needs in period t.

Results

The prevalence rates of adverse consequences of unmet needs were twice as high among older adults with elevated depressive symptoms as those without depression. After adjusting for covariates, prior wave depressive symptoms were associated with 1.24 times the rate of adverse consequences of unmet needs for assistance with ADL (Incidence Rate Ratio [IRR] = 1.24, 95% confidence interval [CI] = 1.09-1.41, p < .01) and IADL (IRR = 1.24, 95% CI = 1.06-1.44, p < .01), and 1.14 times the rate of adverse consequences of unmet needs for assistance with mobility (IRR = 1.14, 95% CI = 1.03-1.27, p < .05).

Discussion and Implications

Caring for older adults with mental health and long-term care needs calls for an integrated social and health services system.

Patterns of performance and improvement in US Medicare's Hospital Star Ratings, 2016-2017

BACKGROUND

Publicly reported quality data can help consumers make informed choices about where to seek medical care. The Centers for Medicare and Medicaid Services developed a composite Hospital Compare Overall Star Rating for US acute-care hospitals in 2016. However, patterns of performance and improvement have not been previously described.

OBJECTIVE

To characterise high-quality and low-quality hospitals as assessed by Star Ratings.

DESIGN

We performed a retrospective cross-sectional study of 3429 US acute-care hospitals assigned Overall Star Ratings in both 2016 and 2017. We used multivariable logistic regression models to identify characteristics associated with receiving 4 or 5 stars.

RESULTS

Small hospitals were more likely to receive 4 or 5 stars in 2016 (33% of small hospitals, 26% of medium hospitals and 21% of large hospitals, OR for medium 0.78, p=0.02, and for large, 0.61, p=0.003). Non-profit status (OR 1.37, p=0.01), midwest region (OR=2.30, p<0.001), west region (OR 1.30 in 2016, p=0.06) and system membership (OR 1.33, p=0.003) were associated with higher odds of achieving a higher Star Rating. Hospitals with the most Medicaid patients were markedly less likely to receive 4 or 5 stars (OR for highest quartile=0.32, p<0.001), and hospitals with the highest proportion of Medicare patients were somewhat less likely to do so (OR for highest quartile=0.68, p=0.01). These associations remained largely consistent over the first two years of reporting and were also associated with the highest likelihood of improvement.

CONCLUSIONS

Small hospitals with fewer Medicaid patients had the highest odds of performing well on Star Ratings. Further monitoring of these trends is needed as patients, clinicians and policymakers strive to use this information to promote high-quality care.

Assessing the Quality of Nursing Homes in Managed Care Organizations: Integrating LTSS for Dually Eligible Beneficiaries

Little is known about the quality of nursing homes in managed care organizations (MCOs) networks. This study (1) described decision-making criteria for selecting nursing home networks and (2) compared selected quality indicators of network and nonnetwork nursing homes. The sample was 17 MCOs participating in a California demonstration that provided integrated long-term services and supports to dually eligible enrollees in 2017. The findings showed that the MCOs established a broad network of nursing homes, with only limited attention to using quality criteria. Network nursing homes (602) scored significantly lower on 6 selected quality measures than nonnetwork (117) nursing homes. Low registered nurse and total nurse staffing were strong predictors of network nursing homes controlling for facility characteristics. Managed care organizations should consider greater transparency about the quality of their nursing homes and use specific quality criteria to improve the quality of their networks.

Medicare Advantage enrollees' use of nursing homes: trends and nursing home characteristics

OBJECTIVES

To examine temporal trends in the prevalence of nursing home (NH) patients participating in Medicare Advantage (MA) and to identify the characteristics of both these patients and the NHs that provide care for them.

STUDY DESIGN

Retrospective cohort study.

METHODS

Data sources included the Medicare enrollment file, Minimum Data Set, and facility-level data from the Certification and Survey Provider Enhanced Reporting system. Longitudinal trends of NH use by MA enrollees were examined over the period 2000 to 2013 and logistic regression models were used to identify facility characteristics associated with having a high proportion of MA patients.

RESULTS

The proportion of MA enrollees in NHs more than doubled between 2000 and 2013, increasing 125% during this period. Notable differences in facility characteristics were found between NHs that serve high proportions of MA enrollees and other NHs. High-MA NHs tended to be larger facilities affiliated with chains. These NHs also had better quality indicators, such as higher staffing levels, lower use of antipsychotics, and lower odds of rehospitalization. Additionally, high-MA NHs were more likely to be in counties with higher Medicare managed care penetration and less market concentration.

CONCLUSIONS

MA plans may be selectively contracting with NHs, as evidenced by the larger shares of MA patients who have been placed in facilities with better performance on quality measures. This may reflect MA plans concentrating enrollees in specific facilities and building "networks" of postacute and long-term care providers that provide better and more efficient care.

The Role of Assisted Living Capacity on Nursing Home Financial Performance

The rapid growth of the assisted living industry has coincided with decreased levels of nursing home occupancy and financial performance. The purpose of this article is to examine the relationships among assisted living capacity, nursing home occupancy, and nursing home financial performance. In addition, we explore whether the relationship between assisted living capacity and nursing home financial performance is mediated by nursing home occupancy. This research utilized publicly available secondary data, for the state of Florida from 2003 through 2015. General descriptive statistics were used to assess the relationships among financial performance, assisted living capacity, and occupancy. To explore the relationships among financial performance, assisted living capacity and occupancy, and test potential mediation of occupancy, we followed Baron and Kenny's approach and estimated 3 models examining the relationships between (1) assisted living capacity and nursing home financial performance, (2) assisted living capacity and nursing home occupancy, and (3) nursing home occupancy and financial performance after assisted living capacity is included in the model. We used generalized estimating equations, to adjust for repeated measures and to model the above relationships. Year fixed effects control for time trend. The independent variable, assisted living beds, was lagged for 1 year to account for the potential influence on financial performance. The final analytic sample consisted of 7688 nursing home-year observations from 657 unique nursing homes. Our findings suggest that assisted living capacity does have a negative impact on nursing homes' financial performance. Even though, assisted living capacity seems not to significantly decrease nursing home occupancy. The relationship between assisted living capacity and financial performance was not mediated through occupancy. These findings suggest that assisted living communities may not be able to significantly reduce nursing home occupancy; however, the presence of assisted living communities may create additional financial/competitive pressures that result in decreased nursing home financial performance.

Thirty-day readmission and mortality among Medicare beneficiaries discharged to skilled nursing facilities after vascular surgery

BACKGROUND

Readmission within 30 d of an acute hospital stay is frequent, costly, and increasingly subject to penalties. Early readmission is most common after vascular surgery; these patients are often discharged to skilled nursing facilities (SNFs), making postacute care an essential partner in reducing readmissions. We characterize 30-day readmissions among vascular surgery patients discharged to SNF to provide evidence for this understudied segment of readmission after specialty surgery.

METHODS

We utilize the Centers for Medicare & Medicaid Services Chronic Conditions Warehouse, a longitudinal 5% national random sample of Medicare beneficiaries to study 30-day readmission or death after discharge to SNF following abdominal aortic aneurysm repair or lower extremity revascularization from 2005-2009. Descriptive statistics and logistic regression with Least Adaptive Shrinkage and Selection Operator were used for analysis.

RESULTS

Two thousand one hundred ninety-seven patients underwent an abdominal aortic aneurysm procedure or lower extremity revascularization at 686 hospitals and discharged to 1714 SNFs. Eight hundred (36%) were readmitted or had died at 30 d. In adjusted analysis, predictors of readmission or death at 30 d included SNF for-profit status (OR [odds ratio] = 1.2; P = 0.032), number of hospitalizations in the previous year (OR = 1.06; P = 0.011), number of comorbidities (OR = 1.06; P = 0.004), emergent procedure (OR = 1.69; P < 0.001), renal complication (OR = 1.38; P = 0.003), respiratory complication (OR = 1.45; P < 0.001), thromboembolic complication (OR = 1.57; P = 0.019), and wound complication (OR = 0.70; P = 0.017).

CONCLUSIONS

Patients discharged to SNF following vascular surgery have exceptionally high rates of readmission or death at 30 d. Many factors predicting readmission or death potentially modify decision-making around discharge, making early detection, discharge planning, and matching patient needs to SNF capabilities essential to improving outcomes.

Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness

OBJECTIVES

To determine whether minority race or ethnicity is associated with mortality and mediated by health insurance coverage among older (≥ 65 yr old) survivors of critical illness.

DESIGN

A retrospective cohort study.

SETTING

Two New York City academic medical centers.

PATIENTS

A total of 1,947 consecutive white (1,107), black (361), and Hispanic (479) older adults who had their first medical-ICU admission from 2006 through 2009 and survived to hospital discharge.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We obtained demographic, insurance, and clinical data from electronic health records, determined each patient's neighborhood-level socioeconomic data from 2010 U.S. Census tract data, and determined death dates using the Social Security Death Index. Subjects had a mean (SD) age of 79 years (8.6 yr) and median (interquartile range) follow-up time of 1.6 years (0.4-3.0 yr). Blacks and Hispanics had similar mortality rates compared with whites (adjusted hazard ratio, 0.92; 95% CI, 0.76-1.11 and adjusted hazard ratio, 0.92; 95% CI, 0.76-1.12, respectively). Compared to those with commercial insurance and Medicare, higher mortality rates were observed for those with Medicare only (adjusted hazard ratio, 1.43; 95% CI, 1.03-1.98) and Medicaid (adjusted hazard ratio, 1.30; 95% CI, 1.10-1.52). Medicaid recipients who were the oldest ICU survivors (> 82 yr), survivors of mechanical ventilation, and discharged to skilled-care facilities had the highest mortality rates (p-for-interaction: 0.08, 0.03, and 0.17, respectively).

CONCLUSIONS

Mortality after critical illness among older adults varies by insurance coverage but not by race or ethnicity. Those with federal or state insurance coverage only had higher mortality rates than those with additional commercial insurance.

Disparities in the Prevalence of Unmet Needs and Their Consequences Among Black and White Older Adults

OBJECTIVE

We document differential prevalence of need for assistance with personal, instrumental, and mobility tasks and adverse consequences of unmet needs, nursing home relocation, and mortality among Black and White older adults.

METHOD

Data are from the National Health and Aging Trends Study. Using logistic and multinomial logistic regression, we determine whether race is predictive of reporting need or adverse consequence and test the role of race as a moderator of the relationship between baseline need and three 1-year outcomes.

RESULTS

Black older adults are more likely to experience a consequence of unmet need (35.33% vs. 29.97%, p = .028) in unadjusted models. In adjusted models, we find no moderating effect of race on baseline need on nursing home placement (0.00, 95% confidence interval [CI] = [-2.43, 2.42], p = .991), mortality (0.73, 95% = [-1.58, 0.11], p = .089), or a Round 2 consequence of unmet (-0.51, 95% CI = [-1.15, 0.14], p = .121).

DISCUSSION

This work highlights the complex relationship between race, need, unmet need, mortality, and nursing home entry.

Do hospital-owned skilled nursing facilities provide better post-acute care quality?

As hospitals are increasingly held accountable for patients' post-discharge outcomes under new payment models, hospitals may choose to acquire skilled nursing facilities (SNFs) to better manage these outcomes. This raises the question of whether patients discharged to hospital-based SNFs have better outcomes. In unadjusted comparisons, hospital-based SNF patients have much lower Medicare utilization in the 180 days following discharge relative to freestanding SNF patients. We solved the problem of differential selection into hospital-based and freestanding SNFs by using differential distance from home to the nearest hospital with a SNF relative to the distance from home to the nearest hospital without a SNF as an instrument. We found that hospital-based SNF patients spent roughly 5 more days in the community and 6 fewer days in the SNF in the 180 days following their original hospital discharge with no significant effect on mortality or hospital readmission.

A comparative analysis of vaccine administration in urban and non-urban skilled nursing facilities

Background

The U.S. population is aging at an unprecedented rate, resulting in an increased demand for skilled nursing facilities (SNFs) and long-term care. Residents of these facilities are at a high risk for pneumococcal disease or severe influenza-related illnesses and death. For these reasons, the Centers for Medicare and Medicaid Services use influenza and pneumococcal vaccination rates as a quality measure in the assessment of SNFs, as complications related to these infections increase morbidity and mortality rates.

Methods

Disparities have been reported amongst vaccination with increased rates in urban areas as compared to their non-urban counterparts. Statistical analyses were performed to compare influenza and pneumococcal vaccination in urban and non-urban SNFs to determine variables that may influence vaccination status.

Results

Of the 15,639 nursing homes included in the study, 10,107 were in urban areas, while 5532 were considered non-urban. We found the percent of eligible and willing residents with up-to-date influenza and pneumococcal vaccinations increased with overall five-star ratings of SNFs. Somewhat paradoxically, although urban SNFs had higher mean overall five-star ratings, they showed lower rates of influenza and pneumococcal vaccination compared to non-urban SNFs. Ordinary least squares regression analysis comparing overall ratings, type of ownership, and geographic location by region yielded statistically significant results in which the overall rating, ownership-type and certificate-type favored urban SNFs (p < 0.001).

Conclusions

This is the first systematic and comparative analysis to use the Nursing Home Compare database to assess vaccine administration of urban and non-urban SNFs. The findings of this study may be used to encourage the development of programs to improve vaccination rates and the quality of care in these facilities.

Electronic supplementary material

The online version of this article (doi:10.1186/s12877-016-0320-4) contains supplementary material, which is available to authorized users.

The Contribution of Skilled Nursing Facilities to Hospitals' Readmission Rate

OBJECTIVE

To examine the relative influence of hospital and skilled nursing facilities (SNFs) on 30-day rehospitalization.

DATA SOURCES/SETTINGS

Elderly Medicare beneficiaries newly admitted to a SNF following hospitalization.

STUDY DESIGN

We ranked hospitals and SNFs into quartiles based on previous years' adjusted rehospitalization rates (ARRs) and examined how rehospitalizations from a given hospital vary depending upon the admitting SNF ARR quartile. We examined whether the availability of SNFs with low rehospitalization rates influenced hospitals' SNF readmission rates and whether changes in a hospital's ARR over 3 years is associated with changes in the SNFs to which they discharge.

PRINCIPAL FINDINGS

Hospital readmission rates from SNFs varied 5 percentage points between patients discharged to SNFs in the lowest and the highest rehospitalization quartiles. Low rehospitalization rate hospitals sent a larger fraction of their patients to the lowest rehospitalization SNFs available in the area. A 10 percent increase in hospital's share of discharges to the lowest rehospitalization quartile SNFs is associated with a 1 percentage point reduction in hospital's ARR.

CONCLUSIONS

The SNF rehospitalization rate has greater influence on patients' risk of rehospitalization than the discharging hospital. Identifying high-performing SNFs may be a powerful strategy for hospitals to reduce rehospitalizations.

Hospital-skilled nursing facility referral linkage reduces readmission rates among Medicare patients receiving major surgery

BACKGROUND

In the health reform era, rehospitalization after discharge may result in financial penalties to hospitals. The effect of increased hospital-skilled nursing facility (SNF) linkage on readmission reduction after surgery has not been explored.

METHODS

To determine whether enhanced hospital-SNF linkage, as measured by the proportion of surgical patients referred from a hospital to a particular SNF, would result in reduced 30-day readmission rates for surgical patients, we used national Medicare data (2011-2012) and evaluated patients who underwent 1 of 5 operative procedures (coronary artery bypass grafting [CABG], hip fracture repair, total hip arthroplasty, colectomy, or lumbar spine surgery). Initial evaluation was performed using regression modeling. Patient choice in SNF referral was adjusted for using instrumental variable (IV) analysis with distance between an individuals' home and the SNF as the IV.

RESULTS

A strong negative correlation (P < .001) was observed between the proportion of selected surgical discharges received by a SNF and the rate of hospital readmission. Increasing the proportion of surgical discharges decreased the likelihood of rehospitalization (regression coefficient, -0.04; 95% CI, -0.07 to -0.02). These findings were preserved in IV analysis. Increasing hospital-SNF linkage was found to reduce significantly the likelihood of readmission for patients receiving lumbar spine surgery, CABG, and hip fracture repair.

CONCLUSION

The benefits of increased hospital-SNF linkage seem to include meaningful reductions in hospital readmission after surgery. Overall, a 10% increase in the proportion of surgical referrals to a particular SNF is estimated to decrease readmissions by 4%. This may impact hospital-SNF networks participating in risk-based reimbursement models.

Post-Acute Care Data for Predicting Readmission After Ischemic Stroke: A Nationwide Cohort Analysis Using the Minimum Data Set

BACKGROUND

Reducing hospital readmissions is a key component of reforms for stroke care. Current readmission prediction models lack accuracy and are limited by data being from only acute hospitalizations. We hypothesized that patient-level factors from a nationwide post-acute care database would improve prediction modeling.

METHODS AND RESULTS

Medicare inpatient claims for the year 2008 that used International Classification of Diseases, Ninth Revision codes were used to identify ischemic stroke patients older than age 65. Unique individuals were linked to comprehensive post-acute care assessments through use of the Minimum Data Set (MDS). Logistic regression was used to construct risk-adjusted readmission models. Covariates were derived from MDS variables. Among 39 178 patients directly admitted to nursing homes after hospitalization due to acute stroke, there were 29 338 (75%) with complete MDS assessments. Crude rates of readmission and death at 30 days were 8448 (21%) and 2791 (7%), respectively. Risk-adjusted models identified multiple independent predictors of all-cause 30-day readmission. Model performance of the readmission model using MDS data had a c-statistic of 0.65 (95% CI 0.64 to 0.66). Higher levels of social engagement, a marker of nursing home quality, were associated with progressively lower odds of readmission (odds ratio 0.71, 95% CI 0.55 to 0.92).

CONCLUSIONS

Individual clinical characteristics from the post-acute care setting resulted in only modest improvement in the c-statistic relative to previous models that used only Medicare Part A data. Individual-level characteristics do not sufficiently account for the risk of acute hospital readmission.

Racial segregation and quality of care disparity in US nursing homes

In this paper, we examine the contributions of travel distance and preferences for racial homogeneity as sources of nursing home segregation and racial disparities in nursing home quality. We first theoretically characterize the distinctive implications of these mechanisms for nursing home racial segregation. We then use this model to structure an empirical analysis of nursing home sorting. We find little evidence of differential willingness to pay for quality by race among first-time nursing home entrants, but do find significant distance and race-based preference effects. Simulation exercises suggest that both effects contribute importantly to racial disparities in nursing home quality.

The adverse consequences of unmet need among older persons living in the community: dual-eligible versus Medicare-only beneficiaries

OBJECTIVE

Our objective is to estimate and compare the prevalence of selected adverse consequences associated with unmet need for assistance among a socioeconomically and medically vulnerable subgroup of the older adult population, those who are dually eligible for Medicare and Medicaid, with those eligible for Medicare only.

METHOD

Using data from the National Health and Aging Trends Study (NHATS), a representative survey of the older Medicare population, we calculated the prevalence of disability-related need for assistance with self-care, household tasks, and mobility activities and the prevalence of adverse consequences of unmet need by dually eligible and Medicare only status.

RESULTS

Over 2 million community-dwelling older persons experienced an adverse consequence due to unmet need for assistance with self-care (e.g., soiled their clothes), over 2 million experienced adverse consequences due to unmet need for assistance with household tasks (e.g., went without groceries), and over 3 million persons experienced at least one adverse consequence of unmet need for assistance with mobility-related activities (e.g., had to stay in bed) in the month prior to the NHATS interview. Dually eligible persons experienced higher rates of 6 of the 11 adverse consequences studied and were more likely to have at least one adverse consequence in all 3 domains than others.

DISCUSSION

Several care models are emerging with the goal of integrating medical care, behavioral health, and long-term services for the dual eligible population. Indicators of adverse consequences of unmet need could be used to monitor the quality and adequacy of such care systems.

Higher Medicare SNF care utilization by dual-eligible beneficiaries: can Medicaid long-term care policies be the answer?

OBJECTIVE

To examine outcomes associated with dual eligibility (Medicare and Medicaid) of patients who are admitted to skilled nursing facility (SNF) care and whether differences in outcomes are related to states' Medicaid long-term care policies.

DATA SOURCES/COLLECTION

We used national Medicare enrollment data and claims, and the Minimum Data Set for 890,922 community-residing Medicare fee-for-service beneficiaries who were discharged to an SNF from a general hospital between July 2008 and June 2009.

STUDY DESIGN

We estimated the effect of dual eligibility on the likelihood of 30-day rehospitalization, becoming a long-stay nursing home resident, and 180-day survival while controlling for clinical, demographic, socio-economic, residential neighborhood characteristics, and SNF-fixed effects. We estimated the differences in outcomes by dual eligibility status separately for each state and showed their relationship with state policies: the average Medicaid payment rate; presence of nursing home certificate-of-need (CON) laws; and Medicaid home and community-based services (HCBS) spending.

PRINCIPAL FINDINGS

Dual-eligible patients are equally likely to experience 30-day rehospitalization, 12 percentage points more likely to become long-stay residents, and 2 percentage points more likely to survive 180 days compared to Medicare-only patients. This longer survival can be attributed to longer nursing home length of stay. While higher HCBS spending reduces the length-of-stay gap without affecting the survival gap, presence of CON laws reduces both the length-of-stay and survival gaps.

CONCLUSIONS

Dual eligibles utilize more SNF care and experience higher survival rates than comparable Medicare-only patients. Higher HCBS spending may reduce the longer SNF length of stay of dual eligibles without increasing mortality and may save money for both Medicare and Medicaid.