Nursing Homes Increasingly Rely On Staffing Agencies For Direct Care Nursing.

When nursing homes experience a shortage in directly employed nursing staff, they may rely on temporary workers from staffing agencies to fill this gap. This article examines trends in the use of staffing agencies among nursing homes during the prepandemic and COVID-19 pandemic era (2018-22). In 2018, 23 percent of nursing homes used agency nursing staff, accounting for about 3 percent of all direct care nursing hours worked. When used, agency staff were commonly present for ninety or fewer days in a year. By 2022, almost half of all nursing homes used agency staff, accounting for 11 percent of all direct care nursing staff hours. Agency staff were increasingly used to address chronic staffing shortages, with 13.8 percent of nursing homes having agency staff present every day. Agency staff were 50-60 percent more expensive per hour than directly employed nursing staff, and nursing homes that used agency staff often had lower five-star ratings. Policy makers need to consider postpandemic changes to the nursing home workforce as part of nursing home reform, as increased reliance on agency staff may reduce the financial resources available to increase nursing staff levels and improve the quality of care.

Nursing Home Resident Preferences for Daily Care and Activities: A Latent Class Analysis of National Data.

BACKGROUND AND OBJECTIVES: Uncovering subgroups of nursing home residents sharing similar preference patterns is useful for developing systematic approaches to person-centered care. This study aimed to (i) identify preference patterns among long-stay residents, and (ii) examine the associations of preference patterns with resident and facility characteristics. RESEARCH DESIGN AND METHODS: This study was a national cross-sectional analysis of Minimum Data Set assessments in 2016. Using resident-rated importance for 16 preference items in the Preference Assessment Tool as indicators, we conducted latent class analysis to identify preference patterns and examined their associations with resident and facility characteristics. RESULTS: We identified 4 preference patterns. The high salience group (43.5% of the sample) was the most likely to rate all preferences as important, whereas the low salience group (8.7%) was the least likely. The socially engaged (27.2%) and the socially independent groups (20.6%) featured high importance ratings on social/recreational activities and maintaining privacy/autonomy, respectively. The high salience group reported more favorable physical and sensory function than the other 3 groups and lived in facilities with higher staffing of activity staff. The low salience and socially independent groups reported a higher prevalence of depressive symptoms, whereas the low salience or socially engaged groups reported a higher prevalence of cognitive impairment. Preference patterns also varied by race/ethnicity and gender. DISCUSSION AND IMPLICATIONS: Our study advanced the understanding of within-individual variations in preferences, and the role of individual and environmental factors in shaping preferences. The findings provided implications for providing person-centered care in NHs.

Can Implementing Person-Centered Care Tools Reduce Complaints? Evidence from the Implementation of PELI in Ohio Nursing Homes.

Nursing homes receive complaints when actual care provided to residents misaligns with desired care, suggesting that person-centered care (PCC) and honoring resident preferences in care delivery may help prevent complaints from arising. We explore whether nursing home implementation of a PCC tool, the Preferences for Everyday Living Inventory (PELI), is related to measures of complaints. Publicly available data on Ohio nursing homes was used to examine 1,339 nursing home-year observations. Regression techniques were used to evaluate the relationship between the extent of PELI implementation and four complaint outcomes: any complaint, number of complaints, any substantiated complaint, and number of substantiated complaints. Nursing homes with complete PELI implementation were less likely to have any complaints by 4.7% points (P < .05) and any substantiated complaints by 11.5% points (P < .001) as compared to partial PELI implementers. When complete PELI implementers did have complaints, they were fewer than partial PELI implementers. Complete PELI implementers were not immune from receiving complaints; however, the complaints they did receive were fewer in number and less likely to be substantiated as compared to communities who only partially implemented a PCC tool.

Consumer Complaints in Nursing Homes: Analyzing Substantiated Single-Allegation Complaints to Deficiency Citations.

Complaints provide important information to consumers about nursing homes (NHs), but how substantiated complaints map onto deficiency citations is unknown. The purpose of this study is to understand the relationship between substantiated complaints and deficiency citations. Federally collected NH complaint and inspection records were obtained to identify all single allegation, substantiated complaints for NHs across the U.S. in 2017. Overall, the 369 complaint allegations in our sample resulted in a total of 585 deficiencies at the inspection stage; however, 35.2% of the allegations led to no deficiencies. Nearly two-thirds of the 369 substantiated single allegation complaints were categorized at the intake stage as quality of care (31.7%), resident abuse (17.3%), or resident neglect (14.1%). Further, 18% of the inspection deficiencies originated with complaint allegations that were prioritized as immediate jeopardy at intake, but of these, 71.4% were determined upon inspection to constitute "no actual harm with potential for more than minimal harm." These results provide evidence that complaints have the potential to provide unique valuable information on NH quality of care and draw regulatory attention to consumers' concerns. Future studies should include qualitative research concerning complaint processes by conducting interviews/surveys of complainants, NH staff/administrators, long-term care ombudsmen, and state officials.

Financial Performance is Associated With PPE Shortages in Chain-Affiliated Nursing Homes During the COVID-19 Pandemic: A Longitudinal Study.

Many nursing homes operated at thin profit margins prior to the COVID-19 pandemic. This study examines the role of nursing homes' financial performance and chain affiliation in shortages of personal protection equipment (PPE) during the first year of the COVID-19 pandemic. We constructed a longitudinal file of 79 868 nursing home-week observations from 10 872 unique facilities. We found that a positive profit margin was associated with a 21.0% lower probability of reporting PPE shortages in chain-affiliated nursing homes, but not in non-chain nursing homes. Having adequate financial resources may help nursing homes address future emergencies, especially those affiliated with a multi-facility chain.

Beyond Nursing Staff Levels: The Association of Nursing Home Quality and the Five-Star Quality Rating System's New Staffing Measures.

Recently, the Centers for Medicare & Medicaid Services (CMS) introduced staffing measures related to staffing variability and turnover in the Nursing Home (NH) Care Compare Five-Star Quality Rating System. While the consensus within the literature is that reduced variability and turnover are associated with higher NH quality of care and life, no existing studies have evaluated the relationship between CMS's newly introduced staffing measures and quality. This study uses regression analysis to estimate the relationship between 13 quality measures (used in Care Compare) and CMS's new staffing measures (i.e., weekend nursing staff levels, total nursing and registered nurse staff turnover, and administrator turnover) as well as a measure of daily staffing variation recently introduced in the literature called the coefficient of variation. Regressions analysis finds strong evidence of an association between quality and these staffing measures, though some measures (e.g., nursing staff turnover) are highly correlated and may be duplicative.

Developing a Machine Learning Risk-adjustment Method for Hospitalizations and Emergency Department Visits of Nursing Home Residents With Dementia.

BACKGROUND: Long-stay nursing home (NH) residents with Alzheimer disease and related dementias (ADRD) are at high risk of hospital transfers. Machine learning might improve risk-adjustment methods for NHs. OBJECTIVES: The objective of this study was to develop and compare NH risk-adjusted rates of hospitalizations and emergency department (ED) visits among long-stay residents with ADRD using Extreme Gradient Boosting (XGBoost) and logistic regression. RESEARCH DESIGN: Secondary analysis of national Medicare claims and NH assessment data in 2012 Q3. Data were equally split into the training and test sets. Both XGBoost and logistic regression predicted any hospitalization and ED visit using 58 predictors. NH-level risk-adjusted rates from XGBoost and logistic regression were constructed and compared. Multivariate regressions examined NH and market factors associated with rates of hospitalization and ED visits. SUBJECTS: Long-stay Medicare residents with ADRD (N=413,557) from 14,057 NHs. RESULTS: A total of 8.1% and 8.9% residents experienced any hospitalization and ED visit in a quarter, respectively. XGBoost slightly outperformed logistic regression in area under the curve (0.88 vs. 0.86 for hospitalization; 0.85 vs. 0.83 for ED visit). NH-level risk-adjusted rates from XGBoost were slightly lower than logistic regression (hospitalization=8.3% and 8.4%; ED=8.9% and 9.0%, respectively), but were highly correlated. Facility and market factors associated with the XGBoost and logistic regression-adjusted hospitalization and ED rates were similar. NHs serving more residents with ADRD and having a higher registered nurse-to-total nursing staff ratio had lower rates. CONCLUSIONS: XGBoost and logistic regression provide comparable estimates of risk-adjusted hospitalization and ED rates.

Exploring the Relationship Between Extent of Person-Centered Care Implementation and Staffing Levels in Ohio Nursing Homes.

Background: The Preferences for Everyday Living Inventory (PELI) is a person-centered care (PCC) tool that uncovers/honors older adults' important preferences. PCC implementation in nursing homes (NHs) often requires additional resources, such as staff time. We explored if PELI implementation is associated with NH staffing levels. Methods: Using NH-year as the unit of observation (n = 1307), 2015 and 2017 data from Ohio NHs was used to examine the relationship between complete versus partial PELI implementation and staffing levels, measured in hours per resident day, for various positions and total nursing staff. Results: Complete PELI implementation was associated with higher nursing staff levels in both for-profits and not-for-profits; however, total nursing staff levels in not-for-profits were higher than for-profits (0.16 vs. 0.09 hours per resident day). The specific nursing staff associated with PELI implementation varied by ownership. Discussion: For NHs to fully implement PCC, a multifaceted approach to improve staffing is needed.

Longitudinal Associations of Staff Shortages and Staff Levels with Health Outcomes in Nursing Homes.

OBJECTIVES: To examine whether facility-reported staff shortages and total staff levels were independently associated with changes in nursing home (NH) outcomes in 2020. DESIGN: Longitudinal cohort study. SETTING AND PARTICIPANTS: A total of 8466 NHs with staffing and outcome data. METHODS: This study used NH COVID-19 Public File (2020), Nursing Home Compare (2019-2020), and Payroll-Based Journal data (2019-2020). Outcome measures included the percentage of long-stay residents in a facility with declines in activities in daily living (ADLs), decreases in mobility, weight loss, and pressure ulcers in 2020 Q2, 2020 Q3, and 2020 Q4. Independent variables were whether NHs reported any shortage of aides or licensed nurses and total staff hours per resident day (HPRD). Separate 2-level (NH, state) Hierarchical Generalized Linear Mixed models examined the association of facility-reported shortages and staff hours with key NH resident outcomes, controlling for NH characteristics and COVID-19 infections. RESULTS: The weekly percentage of NHs reporting any staff shortage averaged 20%. Total staff HPRD increased slightly from 3.7 in 2019 to 3.8 in 2020. Health outcomes were stable during 2019 and 2020 Q1 but worsened substantially starting in 2020 Q2. For example, the percentage of residents with mobility loss increased from 16.2% in 2020 Q1 to 27.9% in 2020 Q4. Facility-reported staff shortages were associated with an increase in the proportion of residents with an ADL decline (0.54 percentage points), mobility loss (0.80 percentage points), weight loss (0.22 percentage points), and pressure ulcers (0.22 percentage points) (all P < .01). Total staff HPRD was not associated with changes in any outcomes (all P > .05). CONCLUSIONS AND IMPLICATIONS: NHs reported worsened health outcomes among long-stay residents in 2020, with worse outcomes found among facilities that reported staff shortages but not among those with lower total staff levels. Facility-reported shortages provide important quality information during the COVID-19 pandemic.

Organizational and Resident Characteristics of Nursing Homes Associated With Partial and Complete Implementation of the Preferences for Everyday Living Inventory.

Background and Objectives: Person-centered care practices are essential to providing high-quality care for nursing home (NH) residents. A key component of implementing person-centered care is the assessment and fulfillment of residents' preferences. However, few NHs consistently assess and implement residents' preferences into care. From 2015 to 2019, the Ohio Department of Medicaid added the Preference for Everyday Living Inventory (PELI), a scientifically validated tool to assess residents' preferences, as a quality indicator to improve the person centeredness of Ohio's NHs. In this study, we sought to identify the associations between resident and organizational characteristics and PELI implementation in Ohio NHs. Research Design and Methods: We constructed an NH-level database that merged data from the Ohio Biennial Survey of Long-Term Care Facilities, Ohio Medicaid Cost Reports, the Certification and Survey Provider Enhanced Reports data, the WWAMI Rural Health Research Center, and the Minimum Data Set. Freestanding NHs were included if they were owned by a for-profit or not-for-profit organization, and had data collected in 1 of 2 years (n = 1,320; year 2015, n = 814; year 2017, n = 506). Descriptive statistics and multiple logistic regression were used to understand the relationships between resident demographics, NH organizational characteristics, and partial versus complete PELI implementation. Results: Most NHs (71.2%) reported complete implementation of the PELI over 2 years with implementation increasing over time. There was a relationship between complete PELI implementation and for-profit status, higher number of beds, higher Medicare funding, higher certified nursing assistants and activity staff hours, and urban location. Discussion and Implications: This work has important implications for the implementation of person-centered care interventions in NHs and our understanding of what NH characteristics are related to successful implementation. The next steps should include a continued, detailed assessment of PELI implementation and an exploration of the potential impact of PELI implementation on residents, staff, and organizational outcomes.

Measuring Nursing Home Quality of Life: Validated Measures Are Poorly Correlated With Proxies From MDS and Quality of Life Deficiency Citationsl.

OBJECTIVES: Ensuring quality of life (QoL) is an important goal of person-centered nursing home care. The provision of person-centered care relies on information captured in the Minimum Data Set 3.0 (MDS). It is unclear to what extent MDS items or QoL-related facility deficiency citations correlate with validated measures of nursing home residents' QoL. This study evaluated correlation among MDS items, facility deficiency citations, and residents' QoL from 2 states that currently collect these measures. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: A total of 11,487 long-stay residents in 356 facilities in Minnesota and 13,835 long-stay residents in 851 facilities in Ohio in 2015. METHODS: The outcome, QoL, was measured using validated instruments (Minnesota QoL survey and Ohio Resident Satisfaction Survey). Predictor variables included scores for Preference Assessment Tool (Section F), Patient Health Questionnaire-9 (Section D) for depressive symptoms from MDS, and count of QoL-related facility deficiency citations from the Certification and Survey Provider Enhanced Reporting database. Spearman's ranked test assessed correlation between predictor and outcome variables. Mixed effects models evaluated associations of QoL summary scores with predictor variables, adjusting for resident- and facility-level characteristics, accounting for clustering at the facility level. RESULTS: In Minnesota and Ohio, predictor variables (Section F and D items, and facility deficiency citations) correlated significantly but poorly with QoL (coefficients ranging from 0.003 to 0.3, P < .001). In the fully adjusted mixed effects model, all predictor variables, demographics, and functional status explained <21% of the total variance in QoL among residents. These findings were consistent in sensitivity analyses stratified by 1-year length of stay and by diagnosis of dementia. CONCLUSIONS AND IMPLICATIONS: MDS items and facility deficiency citations encapsulate a significant but very small proportion of variance in residents' QoL. This indicates the need to measure QoL directly among residents, to plan person-centered care, and to evaluate its performance in nursing home facilities.

Understanding Nursing Home Spending And Staff Levels In The Context Of Recent Nursing Staff Recommendations.

To provide context for evaluating proposed nursing home staff regulations, we examined the proportion of facility revenues spent on nursing staff, as well as nursing staff levels in hours worked and paid per resident day, in 2019. Nationally, the median proportion of revenues spent on nursing staff was 33.9 percent, and median nursing staff levels were 3.67 hours worked and 4.08 hours paid per resident day. Facilities with higher shares of Medicaid residents spent a larger share of revenues on nursing staff but had lower staffing levels. States varied significantly with respect to median spending on nursing staff (26.8-44.0 percent of revenues) and median nursing staff levels (3.2-5.6 hours worked and 3.6-5.7 hours paid per resident day). These findings indicate that raising the proportion of revenues spent by nursing homes on nursing staff to a regulated minimum would not guarantee the achievement of adequate nursing staff levels unless it was paired with other regulatory mechanisms.

Assessment of Consumer Complaint Investigation Scores, Recertification Survey Scores, and Overall Nursing Home Health Inspection Star Quality Rating.

Importance: The Centers for Medicare & Medicaid Services' Five-Star Quality Rating System combines results from nursing home recertification surveys and complaint investigations into a single indicator for health inspections. This combination may mask complaint investigation results. Objective: To construct and compare star ratings specific to recertification surveys and specific to complaint investigations to discern whether they provide different information. Design, Setting, and Participants: In this quality improvement study, the Nursing Home Compare Five-Star Quality Rating System was used to calculate three 5-star ratings: 1 overall health inspection rating combining recertification survey scores and complaint investigation scores, 1 using only recertification scores, and 1 using only complaint investigation scores. The study included US nursing homes. The sample calculated star ratings for nursing homes in November 2017. This sample included all whose most recent recertification surveys occurred in 2016 up to and including November 2017, and those with 36 months of data from the ASPEN Complaints/Incidents Tracking System and the Certification and Survey Provider Enhanced Reports. Data analyses were completed on different days in 2022, depending on which questions were being addressed. Main Outcomes and Measures: Comparison of the 3 star rating distributions. The recertification survey and complaint investigation star ratings were compared with respect to the overall health investigation rating. The recertification and complaint star ratings were cross-tabulated. Results: Among the 15 499 nursing homes, 19.8% had 1 overall health inspection star, 23.2% had 2, 23.2% had 3, 23.2% had 4, and 9.8% had 5 overall health inspection stars. Most had the same overall and recertification star ratings; for example, 79.4% had 5 overall stars and 5 recertification survey stars. However, overall and complaint-based star ratings were discordant, with a relatively large proportion of nursing homes (25.7%) having no complaint deficiencies and therefore high star ratings. Conclusions and Relevance: In this quality improvement study assessing the 2 components of the Five-Star Quality Rating System, results of recertification surveys were largely similar to health inspection star ratings. However, recertification survey scores differed from complaint inspection scores, suggesting health inspection ratings may not reflect consumers' views of care, services, or other valued amenities. A complaint-focused metric may have utility. However, research is needed concerning the many nursing homes with no or very few complaint deficiencies.

Impact of Implementing the Preferences for Everyday Living Inventory on Nursing Home Survey Deficiencies.

OBJECTIVES: The purpose of this study is to expand on previous work testing the relationship between person-centered care (PCC) and quality outcomes in the nursing home (NH) setting. We explore if the Preferences for Everyday Living Inventory (PELI) implementation is a predictor of NH quality, as defined by deficiencies. DESIGN: Secondary data analysis of repeated cross-sections. SETTING AND PARTICIPANTS: Data from 6 sources on Ohio NHs were merged to examine 1300 NH-year observations. METHODS: Logistic regression techniques were used to evaluate the relationship between PELI implementation and 3 survey deficiency outcomes: whether the NH had a 4- or 5- deficiency star rating, deficiency score, and whether the NH had a deficiency score of 0. RESULTS: NHs with complete PELI implementation increased the probability of having a 4- or 5- deficiency star rating by 6 percentage points (P = .039). Results also show complete PELI implementation is related to lower deficiency scores and an increased probability of having a deficiency score of 0, but only a 0 deficiency score was marginally significant. CONCLUSIONS AND IMPLICATIONS: The findings indicate PCC stands to improve quality outcomes; however, benefits take time to show. Future research should seek to help improve NHs level of commitment to PCC and buy-in from policymakers.

Identifying Nursing Homes With Diverse Racial and Ethnic Resident Compositions: The Importance of Group Heterogeneity and Geographic Context.

Racial/ethnic composition of nursing home (NH) plays a particularly important role in NH quality. A key methodological issue is defining when an NH serves a low versus high proportion of racially/ethnically diverse residents. Using the Minimum Data Set from 2015 merged with Certification and Survey Provider Enhanced Reports, we calculated the racial/ethnic composition of U.S.-based NHs for Black or Hispanic residents specifically, and a general Black, Indigenous, and People of Color (BIPOC) grouping for long-stay residents. We examined different definitions of having a high racial/ethnic composition by varying percentile thresholds of composition, state-specific and national thresholds, and restricting composition to BIPOC residents as well as only Black and Hispanic residents. NHs with a high racial/ethnic composition have different facility characteristics than the average NH. Based on this, we make suggestions for how to identify NHs with diverse racial/ethnic resident compositions.

Does Higher Worker Retention Buffer Against Consumer Complaints? Evidence From Ohio Nursing Homes.

BACKGROUND AND OBJECTIVES: This study examined the relationship between nursing home (NH) quality using consumer complaints and certified nursing assistant (CNA) annual retention rates among Ohio freestanding NHs (n = 691). RESEARCH DESIGN AND METHODS: Core variables came from the 2017 Ohio Biennial Survey of Long-term Care Facilities and Centers for Medicare and Medicaid Services Automated Survey Processing Environment Complaints/Incidents Tracking System. To compare NHs, 4 quartiles of CNA retention rates were created: low (0%-48%), medium (49%-60%), high (61%-72%), and very high retention (73%-100%). Negative binomial regressions were estimated on total, substantiated, and unsubstantiated allegations and complaints. All regressions controlled for facility and county-level factors and clustered facilities by county. RESULTS: NHs in the top 50% (high and very high) of retention received 1.92 fewer allegations than those in the bottom 50%, representing a 19% difference; this trend was significant and negative across all outcomes. Using quartiles revealed a nonlinear pattern: high-retention NHs received the fewest number of allegations and complaints. The differences between high and low retention on allegations, substantiated, and unsubstantied allegations were 33% (3.73 fewer), 34% (0.51 fewer), and 32% (3.12 fewer), respectively. Unexpectedly, very high-retention NHs received more unsubstantiated allegations than high-retention NHs. DISCUSSION AND IMPLICATIONS: While higher-retention should result in fewer complaints, our results indicate that some turnover may be desirable because the very high-retention NHs performed slightly worse than those with high retention. Among the remaining facilities, fewer complaints may be achieved by improving CNA retention through higher wages, career advancement, and better training.

Exploring the Criterion Validity of Pragmatic Person-Centered Care/Culture Change Measures.

BACKGROUND: Nursing homes (NHs) are required to provide person-centered care, efforts often folded into broader culture change initiatives. Despite the known benefits of culture change, it is difficult to measure. This study aims to assess the criterion validity of the Preferences for Everyday Living Inventory (PELI) Implementation Indicator with other culture change measures. METHODS: Using data from Ohio-based NHs (n = 771), logistic regression techniques demonstrated the relationship between the PELI Implementation Indicator and two validated culture change measures, the Resident Preferences for Care (RPC) and Certified Nursing Assistant (CNA) Empowerment scales. RESULTS: There was a significant relationship between the two scales and complete PELI implementation holding all other variables constant. The RPC and CNA Empowerment scales were significantly associated with complete PELI implementation. DISCUSSION: Findings suggest that the PELI Implementation Indicator can be used as a pragmatic indicator of a community's adoption of person-centered care and culture change.

Serious Mental Illness in Nursing Homes: Stakeholder Perspectives on the Federal Preadmission Screening Program.

The federal Preadmission Screening and Resident Review (PASRR) program was enacted in the 1980s amid concerns surrounding the quality of nursing home (NH) care. This program is meant to serve as a tool to assist with level of care determinations for NH applicants with serious mental illness (SMI) and was intended to limit the growth in the number of NH residents with SMI. Despite this policy effort, the prevalence of SMI in NHs has continued to increase, and little is known about the mechanisms driving the heterogeneous and suboptimal administration of the PASRR program, absent routine evaluative efforts. We conducted 20 semi-structured interviews with state and national stakeholders to identify factors affecting PASRR program administration and NH care for residents with SMI. Stakeholders expressed concern regarding fragmentation, specifically lack of clarity in the value of assessments beyond a regulatory requirement. Additionally, they cited variable program administration as contributing to fragmented communication patterns and inconsistent training across jurisdictions. Given the number of people with SMI currently residing in NHs, policy and practice should take a person-centered approach to assess how PASRR can be better used to support resident needs.

Evidence to Inform Policy and Practice: Mechanisms to Address Racial/Ethnic Disparities in Nursing Home Quality of Life.

Background and Objectives: Abundant evidence documents racial/ethnic disparities in access, quality of care, and quality of life (QoL) among nursing home (NH) residents who are Black, Indigenous, and people of color (BIPOC) compared with White residents. BIPOC residents are more likely to be admitted to lower quality NHs and to experience worse outcomes. Yet, little is known about processes for differences in QoL among residents receiving care in high-proportion BIPOC NHs. This study presents an examination of the processes for racial/ethnic disparities in QoL in high-proportion BIPOC facilities while highlighting variability in QoL between these facilities. Research Design and Methods: Guided by the Minority Health and Health Disparities Research Framework and the Zubritsky framework for QoL in NHs, we employ a concurrent mixed-methods approach involving in-depth case studies of 6 high-proportion BIPOC NHs in Minnesota (96 resident interviews; 61 staff interviews; 614 hours of observation), coupled with statewide survey data on residents' QoL linked to resident clinical Minimum Data Set assessments. Results: Quantitative findings show that BIPOC residents experience lower QoL than White residents across various domains. Qualitative findings reveal variability in BIPOC residents' QoL between high-proportion BIPOC facilities. In some facilities, BIPOC residents experienced worse QoL based on their race/ethnicity, whereas in others BIPOC residents QoL was not directly affected by their race/ethnicity or they had mixed experiences. Discussion and Implications: The findings highlight variability in racial/ethnic disparities in QoL across NHs with a high proportion of BIPOC residents. We identify health equity initiatives, including engaging with community BIPOC organizations and volunteers, and providing more resources to high-proportion BIPOC facilities to support staff training, additional staffing, and culturally specific programming. Given the increasing racial/ethnic diversity of NHs, ensuring equity in QoL for BIPOC residents is an urgent priority for NHs to remain relevant in the future.