Racial/Ethnic Disparities in Nursing Home End-of-Life Care: A Systematic Review

ObjectiveHealth disparities are pervasive in nursing homes (NHs), but disparities in NH end-of-life (EOL) care (ie, hospital transfers, place of death, hospice use, palliative care, advance care planning) have not been comprehensively synthesized. We aim to identify differences in NH EOL care for racial/ethnic minority residents.DesignA systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and registered in PROSPERO (CRD42020181792).Setting and ParticipantsOlder NH residents who were terminally ill or approaching the EOL, including racial/ethnic minority NH residents.MethodsThree electronic databases were searched from 2010 to May 2020. Quality was assessed using the Newcastle-Ottawa Scale.ResultsEighteen articles were included, most (n = 16) were good quality and most (n = 15) used data through 2010. Studies varied in definitions and grouping of racial/ethnic minority residents. Four outcomes were identified: advance care planning (n = 10), hospice (n = 8), EOL hospitalizations (n = 6), and pain management (n = 1). Differences in EOL care were most apparent among NHs with higher proportions of Black residents. Racial/ethnic minority residents were less likely to complete advance directives. Although hospice use was mixed, Black residents were consistently less likely to use hospice before death. Hispanic and Black residents were more likely to experience an EOL hospitalization compared with non-Hispanic White residents. Racial/ethnic minority residents experienced worse pain and symptom management at the EOL; however, no articles studied specifics of palliative care (eg, spiritual care).Conclusions and ImplicationsThis review identified NH health disparities in advance care planning, EOL hospitalizations, and pain management for racial/ethnic minority residents. Research is needed that uses recent data, reflective of current NH demographic trends. To help reduce EOL disparities, language services and cultural competency training for staff should be available in NHs with higher proportions of racial/ethnic minorities.     

Policy to Reduce Antipsychotic Use and Hospitalization of Nursing Home Residents With Dementia

ObjectivesFollowing the 2012 launch of the National Partnership to Improve Dementia Care in Nursing Homes (the National Partnership), the use of antipsychotics has declined. However, little is known about the impact of this effort on quality of care and outcomes for nursing home (NH) residents with Alzheimer's disease and related dementia (ADRD). The objective of this study is to examine changes in hospitalizations for NH long-stay residents with ADRD after the launch of the National Partnership.DesignObservational cross-sectional study.Setting/ParticipantsNH residents who were newly admitted into NHs and became long-stay residents between January 2011 and March 2015 (n = 565,885).MethodsWe estimated linear probability models to explore the relationship between the National Partnership and the likelihood of NH-originated hospitalizations for NH long-stay residents with ADRD, accounting for facility fixed effect, individual covariates, and concurrent changes in hospitalizations among residents without ADRD. We further stratified the analysis by NHs according to their prevalence of antipsychotic use at baseline (ie, prior to the National Partnership).ResultsWe detected a 0.7–percentage point relative increase (P value <.01) in risk-adjusted probabilities of hospitalizations among residents with ADRD compared with non-ADRD residents in the post-Partnership period. In the stratified analysis, we detected a 1.2–percentage point increase (P = .037) in the probability of hospitalizations among ADRD residents in NHs with high antipsychotic use at baseline but no significant change among those in NHs with low antipsychotic use.Conclusions and ImplicationsAlthough the National Partnership may have reduced exposure to antipsychotics, our findings suggest this was related to an increase in hospitalization risk for residents with ADRD. Further research is needed to elucidate the reasons behind the observed relationship and to examine the impact of the National Partnership on other health outcomes.     

Potentially Harmful Medication Prescribing by the Degree of Physician Specialization in Nursing Home Practice: An Observational Study

ObjectivesThe use of anticholinergics, antipsychotics, benzodiazepines, and other potentially harmful medications (PHMs) is associated with particularly poor outcomes in nursing home (NH) residents with Alzheimer's disease and related dementias (ADRD). Our objective was to compare PHM prescribing by NH physicians and advanced practitioners who focus their practice on NH residents (NH specialists) vs non-NH specialists.DesignRetrospective cohort study.Setting and ParticipantsWe included a 20% random sample of Medicare beneficiaries with ADRD who resided in 12,278 US NHs in 2017. Long-stay NH residents with ADRD were identified using MDS, Medicare Parts A and B claims. Residents <65 years old or without continuous Part D coverage were excluded.MethodsPhysicians in generalist specialties and advanced practitioners with ≥90% of Part B claims for NH care were considered NH specialists. Residents were assigned to NH specialists vs non-NH specialists based on plurality of Part D claims submitted for that resident. Any PHM use (defined using the Beers Criteria) and the proportion of NH days on a PHM were modeled using generalized estimating equations. Models included resident demographics, clinical characteristics, cognitive and functional status, behavioral assessments, and facility characteristics.ResultsOf the 54,713 residents in the sample, 27.9% were managed by an NH specialist and 72.1% by a non-NH specialist. There was no statistically significant difference in any PHM use [odds ratio (OR) 0.97, 95% CI 0.93-1.02, P = .23]. There were lower odds of prolonged PHM use (OR 0.87, 95% CI 0.81-0.94, P < .001, for PHM use on >75% vs >0%-<25% of NH days) for NH specialists vs non-NH specialists.Conclusions and ImplicationsAlthough the use of PHMs among NH residents with ADRD managed by NH specialists was not lower, they were less likely to receive PHMs over longer periods of time. Future work should evaluate the underlying causes of these differences to inform interventions to improve prescribing for NH residents.     

Nursing Home Characteristics Associated With Implementation of an Advance Care Planning Video Intervention

ObjectivesAdvance care planning (ACP) is important to ensure that nursing home (NH) residents receive care concordant with their goals. Video interventions have been developed to improve the process of ACP. Yet, little is known about which NH characteristics are associated with implementation of ACP video interventions in clinical practice. Our objective was to examine NH-level characteristics associated with the implementation of an ACP video intervention as part of the Pragmatic trial of Video Education in Nursing Homes (PROVEN) trial.DesignCross-sectional study of NHs in PROVEN.Setting and participants119 NHs randomized to receive the ACP video intervention.MeasurementsThe outcomes were the proportion of short- (<100 days) and long-stay (≥100 days) NH residents who were (1) offered to watch a video and (2) shown a video, aggregated to the NH-level, and measured using electronic forms of video offers. The association between outcomes and NH facility characteristics (eg, staffing, resident acuity) and participation in other aspects of the PROVEN trial (eg, monthly check-in calls) were estimated using multivariate linear regression models. NH characteristics were measured using data from Online Survey Certification and Reporting data, Long-term Care: Facts on Care in the US and NH Compare.ResultsOffer rates were 69% [standard deviation (SD): 28] for short-stay and 56% (SD: 20) for long-stay residents. Show rates were 19% (SD: 21) for short-stay and 17% (SD: 17) for long-stay residents. After adjusting for NH characteristics, compared to 1-star NHs, higher star-rated NHs had higher offer rates. Champions' participation in check-in calls was positively associated with both outcomes for long-stay residents.Conclusions/implicationsLower-quality NHs seem unable to integrate a novel ACP video education program into routine care processes. Ongoing support for and engagement with NH staff to champion the intervention throughout implementation is important for the success of a pragmatic trial within NHs.     

Nursing Home–Hospice Collaboration and End-of-Life Hospitalizations Among Dying Nursing Home Residents

Objectives

Nursing homes (NHs) collaboration with hospices appears to improve end-of-life (EOL) care among dying NH residents. However, the potential benefits of NH-hospice collaboration may vary with the patterns of this collaboration. This study examines the relationship between the attributes of NH-hospice collaboration, especially the exclusivity of NH-hospice collaboration (ie, the number of hospice providers in a NH), and EOL hospitalizations among dying NH residents.

Quality of Nursing Homes and Admission of Residents With Alzheimer's Disease and Related Dementias: The Potential Influence of Market Factors and State Policies

ObjectivesThis study aimed to examine the associations between nursing home (NH) quality and prevalence of newly admitted NH residents with Alzheimer's disease and related dementias (ADRD), and to assess the extent to which market-level wages for certified nursing assistants (CNAs) and state Medicaid behavioral and mental health add-on policy may influence such associations.DesignRetrospective cohort study.Setting and ParticipantsThe analytical sample included 2777 NHs with either high or low quality, located in urban areas of 41 states from 2011 to 2014.MethodsThe outcome variable was the prevalence of ADRD among newly admitted NH residents. NH quality was defined as dichotomous, based on the Nursing Home Compare (NHC) star rating system. We considered an NH with 5-star rating as having high quality and with 1-star rating as having low quality. Information on county-level CNA wages and state Medicaid behavioral and mental health add-on policies was included. Linear regression models with NH random effects and robust standard errors were estimated. A set of sensitivity analyses were performed.ResultsAfter accounting for NH-level aggregated resident characteristics and market/state-level factors, the prevalence of ADRD among newly admitted residents was 3% lower in high-quality NHs compared with low-quality NHs (P < .01). A 1-dollar increase in CNA hourly wage was associated with a 0.9–percentage point decrease in the prevalence of ADRD among newly admitted residents (P < .01). State Medicaid behavioral and mental health add-on policy was associated with a 2.5–percentage point increase in the prevalence of ADRD in high-quality NHs (P < .05), but not in low-quality NHs.Conclusions and ImplicationsOur findings suggest that high-quality NHs are less likely to admit residents with ADRD. The effect size of this relationship is modest and may be influenced by state Medicaid behavioral and mental health add-on policies. Future studies are needed to better understand reasons leading to these associations so that effective interventions can be developed to incentivize high-quality NHs to more readily serve residents with ADRD.     

Nursing Home Star Ratings and New Onset of Depression in Long-Stay Nursing Home Residents

ObjectivesTo examine the association between nursing home (NH) quality and new onset of depression and severity of depressive symptoms in a national cohort of long-stay NH residents in the United States.DesignCohort study.Setting and participants129,837 long-stay residents without indicators of depression admitted to 13,921 NHs.MethodsNH quality was measured by Nursing Home Compare star ratings (overall, health inspection, staffing, quality measures) closest to admission. Study outcomes at 90 days from the Minimum Data Set 3.0 included depression diagnosis and severity of depressive symptoms (minimal; mild; moderate; moderately severe/severe). Symptoms were measured by resident self-report Patient Health Questionnaire (PHQ-9) or a staff-report observational version (PHQ-9-OV). Logistic and multinomial logistic models with generalized estimating equations were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs).ResultsAt 90 days postadmission, 14.1% of residents had a new diagnosis of depression, and odds did not differ across star ratings. Nearly 90% of these residents had minimal depressive symptoms, with only 8.5% reporting mild symptoms and 2.6% with moderate to severe symptoms. Using minimal depressive symptoms as the reference, residents in NHs with 5-star overall ratings were 12% less likely than those in 3-star NHs to experience mild (95% CI: 0.81-0.96) and 31% less likely to experience moderate symptoms (95% CI: 0.58-0.82). In NHs with 1-star staffing compared to 3-star, residents had 37% higher odds of moderate symptoms (95% CI: 1.14-1.64) and 57% higher odds of moderately severe to severe depressive symptoms (95% CI: 1.17-2.12). The odds of any above-minimal depressive symptoms decreased as quality measure ratings increased.Conclusions/ImplicationsLower NH quality ratings were associated with more severe depressive symptoms. Further investigation is warranted to identify potential mechanisms for a targeted intervention to improve quality and provide more equitable care.     

Nursing Home Control of Physician Resources

ObjectivePhysician services are increasingly recognized as important contributors to quality care provision in nursing homes (NH)s, but knowledge of ways in which NHs manage/control physician resources is lacking.DataPrimary data from surveys of NH administrators and directors of nursing from a nationally representative sample of 1938 freestanding United States NHs in 2009–2010 matched to Online Survey Certification and Reporting, aggregated NH Minimum Data Set assessments, Medicare claims, and county information from the Area Resource File.MethodsThe concept of NH Control of Physician Resources (NHCOPR) was measured using NH administrators' reports of management implementation of rules, policies, and procedures aimed at coordinating work activities. The NHCOPR scale was based on measures of formal relationships, physician oversight and credentialing. Scale values ranged from weakest (0) to tightest (3) control. Several hypotheses of expected associations between NHCOPR and other measures of NH and market characteristics were tested.ResultsThe full NHCOPR score averaged 1.58 (standard deviation = 0.77) on the 0–3 scale. Nearly 30% of NHs had weak control (NHCOPR ≤1), 47.5% had average control (NHCOPR between 1 and 2), and the remaining 24.8% had tight control (NHCOPR >2). NHCOPR exhibited good face- and predictive-validity as exhibited by positive associations with more beds, more Medicare services, cross coverage, and number of physicians in the market.ConclusionsThe NHCOPR scale capturing NH's formal structure of control of physician resources can be useful in studying the impact of NH's physician resources on residents' outcomes with potential for targeted interventions by education and promotion of NH administration regarding physician staff.     

Nursing Home Design and COVID-19: Implications for Guidelines and Regulation

ObjectivesNursing homes (NHs) are important health care and residential environments for the growing number of frail older adults. The COVID-19 pandemic highlighted the vulnerability of NHs as they became COVID-19 hotspots. This study examines the associations of NH design with COVID-19 cases, deaths, and transmissibility and provides relevant design recommendations.DesignA cross-sectional, nationwide study was conducted after combining multiple national data sets about NHs.Setting and ParticipantsA total of 7785 NHs were included in the study, which represent 50.8% of all Medicare and/or Medicaid NH providers in the United States.MethodsZero-inflated negative binomial models were used to predict the total number of COVID-19 resident cases and deaths, separately. The basic reproduction number (R₀) was calculated for each NH to reflect the transmissibility of COVID-19 among residents within the facility, and a linear regression model was estimated to predict log(R₀ – 1). Predictors of these models included community factors and NHs’ resident characteristics, management and rating factors, and physical environmental features.ResultsIncreased percentage of private rooms, larger living area per bed, and presence of a ventilator-dependent unit are significantly associated with reductions in COVID-19 cases, deaths, and transmissibility among residents. After setting the number of actual residents as the exposure variable and controlling for staff cases and other variables, increased number of certified beds in the NH is associated with reduced resident cases and deaths. It also correlates with reduced transmissibility among residents when other risk factors, including staff cases, are controlled.Conclusions and ImplicationsArchitectural design attributes have significant impacts on COVID-19 transmissions in NHs. Considering the vulnerability of NH residents in congregated living environments, NHs will continue to be high-risk settings for infection outbreaks. To improve safety and resilience of NHs against future health disasters, facility guidelines and regulations should consider the need to increase private rooms and living areas.     

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

ObjectiveTo 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.DesignRetrospective cross-sectional study.Setting and ParticipantsThe study included 786,096 Medicare beneficiaries with ADRD newly admitted from the community to NHs between January 1, 2011 and December 31, 2017.Methods2010–2017 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.ResultsAmong 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 ImplicationsBlack 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.     

Hospice in the Nursing Home: Perspectives of Front Line Nursing Home Staff

ObjectiveUse of hospice has been associated with improved outcomes for nursing home residents and attitudes of nursing home staff toward hospice influences hospice referral. The objective of this study is to describe attitudes of certified nursing assistants (CNAs), nurses, and social workers toward hospice care in nursing homes.Design, setting, and participantsWe conducted a survey of 1859 staff from 52 Indiana nursing homes.MeasurementsStudy data include responses to 6 scaled questions and 3 open-ended qualitative prompts. In addition, respondents who cared for a resident on hospice in the nursing home were asked how often hospice: (1) makes their job easier; (2) is responsive when a patient has symptoms or is actively dying; (3) makes care coordination smooth; (4) is needed; (5) taught them something; and (6) is appreciated by patients/families. Responses were dichotomized as always/often or sometimes/never.ResultsA total of 1229 surveys met criteria for inclusion. Of the respondents, 48% were CNAs, 49% were nurses, and 3% were social workers; 83% reported caring for a nursing home patient on hospice. The statement with the highest proportion of always/often rating was ‘patient/family appreciate added care’ (84%); the lowest was ‘hospice makes my job easier’ (54%). More social workers responded favorably regarding hospice responsiveness and coordination of care compared with CNAs (P = .03 and P = .05, respectively).ConclusionsA majority of staff responded favorably regarding hospice care in nursing homes. About one-third of nursing home staff rated coordination of care lower than other aspects, and many qualitative comments highlighted examples of when hospice was not responsive to patient needs, representing important opportunities for improvement.     

Nursing Home and Market Factors and Risk-Adjusted Hospitalization Rates Among Urban,Micropolitan, and Rural Nursing Homes

ObjectivesHospitalizations are common among long-stay nursing home (NH) residents, but the role of rurality in hospitalization is understudied. This study examines the relationships between rurality, NH, and market characteristics and NH quarterly risk-adjusted hospitalization rates of long-stay residents over 10 quarters (2011 Q2-2013 Q3).DesignThe longitudinal associations of NH and market factors and hospitalization rates were modeled separately on urban, micropolitan, and rural NHs using generalized estimating equation models and a fully interacted model of all NH and market characteristics with micropolitan and rural indicators to test significance of differences compared with urban NHs.Setting and ParticipantsIn total, 14,600 unique NHs.MeasuresRisk-adjusted hospitalization rates were calculated from 2011 to 2013 national Medicare claims and NH Minimum Data Set 3.0. Rurality was defined based on the 2010 Rural Urban Commuting Area codes. NH and market characteristics were extracted from Certification and Survey Provider Enhanced Reporting and Area Health Resources File.ResultsOver the study period, risk-adjusted hospitalization rates averaged 9.8% (standard deviation = 8.2%). No difference was found in the overall hospitalization rates of long-stay NH residents among urban, micropolitan, and rural NHs. Generalized estimating equation models show that urban NHs with higher percentages of Medicare and Medicaid residents and any nurse practitioner/physician assistant were associated with lower rates, but these associations were insignificant in rural settings. Higher registered nurse to total nurses ratio was only associated with lower hospitalization rates in urban settings. Higher median household income was associated with lower hospitalization rates in micropolitan and rural NHs.Conclusions/ImplicationsRurality is not associated with hospitalization rates of long-stay residents, but NH and market factors (eg, payer distribution, staffing, and population income) may affect hospitalization differently in micropolitan/rural NHs than urban NHs. Future intervention on hospitalization should target factors unique to micropolitan/rural NHs which adopt strategies appropriate to their setting.     

Nursing Home Compare Star Rating and Daily Direct-Care Nurse Staffing During Hurricane Irma

ObjectivesNursing homes (NHs) are affected by major hurricanes and other natural disasters. To mitigate adverse effects of a major hurricane, NHs often increase their direct-care nurse staffing levels to meet the needs of their residents. However, the quality rating of the NH may affect the resources available to obtain and retain staff. This data brief provides estimates of direct-care nurse staffing levels by quality star rating during Hurricane Irma.DesignRetrospective cohort study from September 3, 2017, to September 10, 2017.Setting and Participants570 Florida NHs that sheltered in place during Hurricane Irma.MethodsWe stratified NHs by their NH Compare overall quality star rating and then measured change in direct-care nurse staffing levels for registered nurses, licensed practical nurses, and certified nursing assistants.ResultsWe found that the NH Compare overall star rating was positively associated with a greater staffing level response during Hurricane Irma among registered nurses, licensed practical nurses, and certified nursing assistants. This change was largest for 5-star facilities and smallest for 1-star facilities.Conclusions and ImplicationsHigher-quality NHs may be more responsive and have the resources to be more responsive, to increased needs during a natural disaster. Our findings may serve as a platform for ongoing discussion on the role of the federal, state, and local governments in ensuring minimum staffing standards during natural disasters.     

Preventable Hospitalizations Among Nursing Home Residents With Dementia and Behavioral Health Disorders

ObjectiveNursing home (NH) residents with Alzheimer's disease/related dementias (ADRD) and/or behavioral health disorders (BHD) are at high risk of hospitalizations, many of which are potentially avoidable. Empirical evidence regarding potentially avoidable hospitalizations (PAHs) among these residents is quite sparse and mixed. The objectives of this study were to (1) examine the risk of PAH among residents with ADRD only, BHD only, ADRD and BHD compared to residents with neither and (2) identify associations between individual- and facility-level factors and PAH in these subgroups.DesignRetrospective, CY2014-2015.Setting and ParticipantsLong-term residents age 65+ (N = 807,630) residing in 15,234 NHs.MethodsWe employed the Minimum Data Set, MedPAR, Medicare beneficiary summary, and Nursing Home Compare. Hospitalization risk was the outcome of interest. Individual-level covariates were used to adjust for health conditions. Facility-level covariates and state dummies were included. Multinomial logistic regression models were fit to estimate the risk of PAH and non–potentially avoidable hospitalizations (N-PAH).ResultsCompared to residents without ADRD or BHD, those with ADRD had at least a 10% lower relative risk ratio (RRR) of N-PAH and a significantly lower risk of PAH, at 16% (P < .0001). Residents with BHD only had a statistically higher, but clinically very modest (RRR = 1.03) risk of N-PAH, with no difference in the risk of PAH. Focusing on specific BHD conditions, we found no difference in N-PAH or PAH among residents with depression, lower PAH risk among those with schizophrenia/psychosis (RRR = 0.92), and an increased risk of both N-PAH (RRR = 1.15) and PAH (RRR = 1.09) among residents with bipolar disorders.Conclusions and RelevanceWe observed a lower risk of PAH and N-PAH among residents with ADRD, with the risk for residents with BHD varying by condition. Substantial variations in PAH and N-PAH were evident across states. Future research is needed to identify state-level modifiable factors that explain these variations.     

Facility Characteristics Associated With Intensity of Care of Nursing Homes and Hospital Referral Regions

ObjectivesIntensity of care, such as hospital transfers and tube feeding of residents with advanced dementia varies by nursing home (NH) within and across regions. Little work has been done to understand how these 2 levels of influence relate. This study's objectives are to identify facility factors associated with NHs providing high-intensity care to residents with advanced dementia and determine whether these factors differ within and across hospital referral regions (HRRs).DesignCross-sectional analysis.Setting and Participants1449 NHs.MethodsNationwide 2016–2017 Minimum Data Set was used to categorize NHs and HRRs into 4 levels of care intensity based on rates of hospital transfers and tube feeding among residents with advanced dementia: low-intensity NH in a low-intensity HRR, high-intensity NH in a low-intensity HRR, low-intensity NH in a high-intensity HRR, and a high-intensity NH in a high-intensity HRR.ResultsIn high-intensity HRRs, high-vs low-intensity NHs were more likely to be urban, lack a dementia unit, have a nurse practitioner or physician (NP or PA) on staff, and have a higher proportion of residents who were male, aged <65 years, Black, had pressure ulcers, and shorter hospice stays. In low-intensity HRRs, higher proportion of Black residents was the only characteristic associated with being a high-intensity NH.Conclusions and ImplicationsThese findings suggest that within high-intensity HRRs, there are potentially modifiable factors that could be targeted to reduce burdensome care in advanced dementia, including having a dementia unit, palliative care training for NPs and PAs, and increased use of hospice care.