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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.

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.

Compared to the fee-for-service (FFS) model, the managed care delivery system has the potential to improve health care management, increase provider accountability, and support better monitoring of health care quality. However, managed care organizations may attempt to control costs by curbing utilization among Medicaid beneficiaries or reducing reimbursement for Medicaid services. It is an empirical question whether managed care increases or decreases utilization of services. Using detailed pediatric public insurance dental claims data from 2016 through 2018, we examined whether the transition from FFS to managed care affects rates of dental care utilization. Between 2016 and 2018, Indiana, Missouri and Nebraska transitioned pediatric Medicaid beneficiaries from public dental fee-for-service programs to private managed care entities. Using an extended two-way fixed-effects estimation framework, we found that dental managed care leads to a decline in dental care utilization, especially when compared to states that maintain FFS provision of Medicaid dental services.

Long-term services and supports (LTSS), including care received at home and in residential settings such as nursing homes, are highly racially segregated; Black, Indigenous and persons of color (BIPOC) users have less access to quality care and report poorer quality of life compared to their White counterparts. Systemic racism lies at the root of these disparities, manifesting via racially segregated care, low Medicaid reimbursement, and lack of livable wages for staff, along with other policies and processes that exacerbate disparities. We reviewed Medicaid reimbursement, pay-for-performance, public reporting of quality of care, and culture change in nursing homes and integrated home- and community-based service (HCBS) programs as possible mechanisms for addressing racial and ethnic disparities. We developed a set of recommendations for LTSS based on existing evidence, including: (1) increase Medicaid and Medicare reimbursement rates, especially for providers serving high proportions of Medicaid-eligible and BIPOC older adults; (2) reconsider the design of pay-for-performance programs as they relate to providers who serve underserved groups; (3) include culturally-sensitive measures, such as quality of life, in public reporting of quality of care, and develop and report health equity measures in outcomes of care for BIPOC individuals; (4) implement culture change so services are more person-centered and home-like, alongside improvements in staff wages and benefits in high-proportion BIPOC nursing homes; (5) expand access to Medicaid-waivered HCBS services; (6) adopt culturally-appropriate HCBS practices, with special attention to family caregivers; (7) and increase promotion of integrated HCBS programs that can be targeted to BIPOC consumers, and implement models that value community health workers. Multipronged solutions may help diminish the role of systemic racism in existing racial disparities in LTSS, and these recommendations provide steps for action which are needed to reimagine how long-term care is delivered, especially for BIPOC populations.

Quality of life (QoL) is important to nursing home (NH) residents, yet QoL is only publicly reported in a few states, in part because of concerns regarding measure stability. This study used QoL data from Minnesota, one of the few states that collects the measures, to test the stability of QoL over time. To do so, we assessed responses from two resident cohorts who were surveyed in subsequent years (2012–2013 and 2014–2015). Stability was measured using intra-class correlation (ICC) obtained from hierarchical linear models. Overall QoL had ICCs of 0.604 and 0.614, respectively. Our findings show that person-reported QoL has adequate stability over a period of one year. Findings have implications for higher adoption of person-reported QoL measure in long-term care.

Background and Objectives Nursing homes (NHs) are serving a large number of residents with serious mental illness (SMI). We analyze the highest (“High SMI”) quartile of NHs based on the proportion of residents with SMI and compare NHs on health deficiencies and the incidence of deficiencies given for resident abuse, neglect, and involuntary seclusion. Research Design and Methods We used national Certification and Survey Provider Enhanced Reports data for all freestanding certified NHs in the continental United States from 2014 to 2017 (14,698 NHs; 41,717 recertification inspections; 246,528 deficiencies). Differences in the number of deficiencies, a weighted deficiency score, the deficiency grade, and the facility characteristics associated with deficiencies for abuse, neglect, and involuntary seclusion were examined in High SMI. Incidence rate ratios (IRRs) and odds ratios (ORs) were reported with 95% confidence intervals. Results High-SMI NHs did not receive more deficiencies or a greater weighted deficiency score per recertification inspection. Deficiencies given to High-SMI NHs were associated with a wider scope, especially Pattern (IRR: 1.03 [1.00, 1.07]) and Widespread (IRR: 1.07 [1.02, 1.11]). High-SMI NHs were more likely to be cited for resident abuse and neglect (OR: 1.49 [1.23, 1.81]) and the policies to prohibit and monitor for abuse and neglect (OR: 1.18 [1.08, 1.30]) in comparison to all other NHs. Discussion and Implications Although resident abuse, neglect, and involuntary seclusion are rarely cited, these deficiencies are disproportionately found in High-SMI NHs. Further work is needed to disentangle the antecedents to potential resident abuse and neglect in those with mental health care needs.

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.

Objective Nursing homes (NHs) are serving an increasing proportion of residents with cognitive issues (e.g. dementia) and mental health conditions. This study aims to: 1) implement unsupervised machine learning to cluster NHs based on residents' dementia and mental health conditions; 2) examine NH staffing related to the clusters; and 3) investigate the association of staffing and NH quality (measured by number of deficiencies and deficiency scores) in each cluster. Data sources 2009-2017 Certification and Survey Provider Enhanced Reporting (CASPER) were merged with LTCFocUS.org data on NHs in the United States. Study design Unsupervised machine learning algorithm (K-means) clustered NHs based on percent residents with dementia, depression, and serious mental illness (SMI, e.g. schizophrenia, anxiety). Panel fixed-effects regressions on deficiency outcomes with staffing-cluster interactions were conducted to examine the effects of staffing on deficiency outcomes in each cluster. Data extraction methods We identified 110,463 NH-year observations from 14,671 unique NHs using CAPSER data. Principal findings Three clusters were identified: low dementia and mental illnesses (Post-acute Cluster); high dementia and depression, but low SMI (Long-stay Cluster); and high dementia and mental illnesses (Cognitive-mental Cluster). From 2009-2017, the number of Post-acute Cluster NHs increased from 3074 to 5719, while number of Long-stay Cluster NHs decreased from 6745 to 3058. NHs in Long-stay/Cognitive-Mental Clusters reported slightly lower nursing staff hours in 2017. Regressions suggested the effect of increasing staffing on reducing deficiencies is statistically similar across NH clusters. For example, one hour increase in registered nurse hours per resident day was associated with -0.67 [standard error (SE) =0.11], -0.88 (SE = 0.12), and - 0.97 (SE = 0.15) deficiencies in Post-acute Cluster, Long-stay Cluster, and Cognitive-Mental Cluster, respectively. Conclusions Unsupervised machine learning detected a changing landscape of NH serving residents with dementia and mental illnesses, which requires assuring staffing levels and trainings are suited to residents' needs. This article is protected by copyright. All rights reserved.

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.

OBJECTIVE: To measure the impact of Medicaid managed long‐term services and supports (MLTSS) on nursing home (NH) quality and rebalancing. DATA SOURCES/STUDY SETTING: This study analyzes secondary data from annual NH recertification surveys and the minimum dataset (MDS) in three states that implemented MLTSS: Massachusetts (2001–2007), Kansas and Ohio (2011–2017). STUDY DESIGN: We utilized a difference‐in‐difference approach comparing NHs in border counties of states that implemented MLTSS with a control group of NHs in neighboring border counties in states that did not implement MLTSS. Sensitivity analyses included a triple‐difference model (stratified by Medicaid payer mix) and a within‐state comparison. We examined changes in six NH‐level outcomes (percentage of low‐care NH residents, facility occupancy, and four NH quality measures) after MLTSS implementation. DATA COLLECTION/EXTRACTION METHODS: For each state, all freestanding NHs in border counties were included, as were NHs in neighboring counties located in other states. Information on low‐care residents was aggregated to the NH level from MDS data, then combined with Online Survey Certification and Reporting (OSCAR) and Certification and Survey Provider Enhanced Reporting (CASPER) data. PRINCIPAL FINDINGS: MLTSS had no statistically significant effects on NH quality outcomes in Massachusetts or Kansas. In Ohio, MLTSS led to an increase of 0.21 nursing hours per resident day [95% CI: 0.03, 0.40], and a decrease of 1.47 deficiencies [95% CI: −2.52, −0.42] and 9.38 deficiency points [95% CI: −18.53, −0.24] per certification survey. After MLTSS, occupancy decreased by 1.52 percentage points [95% CI: −2.92, −0.12] in Massachusetts, but increased by 3.17 percentage points [95% CI: 0.36, 5.99] in Ohio. We found no effect on low‐care residents in any state. Findings were moderately sensitive to the choice of comparator group. CONCLUSION: The study provides little evidence that MLTSS reduces quality of care, occupancy, or the percentage of low‐care residents in NHs.

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.Secondary data analysis of repeated cross-sections.Data from 6 sources on Ohio NHs were merged to examine 1300 NH-year observations.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.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.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.

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.

Nursing homes (NH) and other institutional-based long-term care settings are not considered an appropriate place for the care of those with serious mental illness, absent other medical conditions or functional impairment that warrants skilled care. Despite policy and regulatory efforts intended to curb the unnecessary placement of people with serious mental illness (SMI) in these settings, the number of adults with SMI who receive care in NHs has continued to rise. Through a scoping review, we sought to summarize the available literature describing NH care for adults with SMI from 2000 to 2020. We found that SMI was operationalized and measured using a variety of methods and diagnoses. Most articles focused on a national sample, with the main unit of analysis being at the NH resident-level and based on analysis of secondary data sets. Understanding current evidence about the use of NHs by older adults with SMI is important to policy and practice, especially as we continue to grapple as a nation with how to provide quality care for older adults with SMI.

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.

BACKGROUND Higher risk-adjusted rate of emergency department (ED) visits might reflect poor quality of nursing home (NH) care; however, existing evidence is limited regarding rural-urban differences in ED rates of NHs, especially for long-stay residents. OBJECTIVES To determine and quantify sources of rural-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED) of long-stay residents. RESEARCH DESIGN We calculated quarterly NH risk-adjusted rates using 2011-2013 national Medicare claims and Minimum Data Set 3.0, and then implemented Generalized Estimating Equation models to examine rural-urban differences in ED rates and Blinder-Oaxaca decomposition to quantify the contributions of NH and market factors. SUBJECTS Privately owned, free-standing NHs in the United States (N=13,260). RESULTS Over the study period, risk-adjusted rates averaged 9.8% for any ED, 3.3% for outpatient ED, and 3.2% for PAED. Compared with urban NHs, rural NHs were associated with significantly lower rates of any ED, outpatient ED, and PAED (β=-1.67%, -0.44%, and -0.28%; all P

(300 words) Objectives During the COVID-19 pandemic, U.S. nursing homes (NHs) have been under pressure to maintain staff levels with limited access to personal protection equipment (PPE). This study examines the prevalence and factors associated with shortages of NH staff during COVID-19 pandemic. Design We obtained self-reported information on staff shortages, resident and staff exposure to COVID-19, and PPE availability from a survey conducted by the Centers for Medicare & Medicaid Services in May 2020. Multivariate logistic regressions of staff shortages with state fixed-effects were conducted to examine the effect of COVID-19 factors in NHs. Setting and participants 11,920 free-standing NHs. Measures The dependent variables were self-reported shortages of licensed nurse staff, nurse aides, clinical staff, and other ancillary staff. We controlled for NH characteristics from the most recent Nursing Home Compare and Certification And Survey Provider Enhanced Reporting, market characteristics from Area Health Resources File, and state Medicaid reimbursement calculated from Truven data. Results Of the 11,920 NHs, 15.9%, 18.4%, 2.5%, and 9.8% reported shortages of licensed nurse staff, nurse aides, clinical staff, and other staff, respectively. Georgia and Minnesota reported the highest rates of shortages in licensed nurse and nurse aides (both > 25%). Multivariate regressions suggest that shortages in licensed nurses and nurse aides were more likely in NHs having any resident with COVID-19 (adjusted odds ratio (AOR) = 1.44, 1.60, respectively) and any staff with COVID-19 (AOR = 1.37, 1.34, respectively). Having one-week supply of PPE was associated with lower probability of staff shortages. NHs with a higher proportion of Medicare residents were less likely to experience shortages. Conclusions /Implications: Abundant staff shortages were reported by NHs and were mainly driven by COVID-19 factors. In the absence of appropriate staff, NHs may be unable to fulfill the requirement of infection control even under the risk of increased monetary penalties., Brief Summary: Staff shortages in nursing homes are mainly driven by COVID-19 factors, such as resident and staff with COVID-19, as well as PPE supply. Most nursing home and market factors, and Medicaid reimbursement rate were insignificant.

Background and Objectives Low retention of direct care workers (DCWs), either certified nursing assistants in nursing homes (NHs) or personal care assistants in assisted living (AL), continues to be an unresolved problem. While numerous studies have examined predictors of DCW retention in NHs, little attention has been paid to differences between settings of long-term care. This study compares the predictors of DCW retention rates across both settings. Research Design and Methods The 2017 Ohio Biennial Survey of Long-Term Care Facilities provides facility-level information from NHs and ALs (NHs = 739; ALs = 465). We compare the factors that predict retention rates of DCWs utilizing regression analysis. The factors are structural, financial, resident conditions, staffing, and management characteristics, as well as retention strategies. Results Average DCW retention rates were 66% and 61% in ALs and NHs, respectively. Not-for-profit status was significantly associated with higher retention rates across settings. While the percent of residents with dementia and less administrator turnover were associated with significantly higher DCW retention in NHs, these were not significant for ALs. However, in the AL context, a higher county unemployment rate and DCWs’ participation in resident care planning meetings were positively related to DCW retention after controlling for all other covariates, while DCW cross-training was negatively associated. Discussion and Implications Retention strategies for DCWs may need to differ by setting, as a result of differing working environments, resources, and regulations.

Objective To examine the impact of commercial dental insurer and provider concentration on dentist reimbursement. Data sources We utilized provider data from the American Dental Association, reimbursement data from IBM Watson MarketScan® Commercial Research Databases, submitted billed charges from FAIR Health® , dental insurance market concentration data from FAIR Health® , and county-level demographic and economic data from the Area Health Resources File and the Council for Community and Economic Research. Study design We used the Herfindahl-Hirschman Index to separately measure commercial dental insurance concentration and dentist concentration. We studied the effect of provider and insurance concentration on dentist reimbursement. Using two-stage least squares, we accounted for potential endogeneity in dental insurer and provider concentration. Principal findings Across the dental procedures we examined, a 10 percent increase in dental insurance concentration is associated with a 1.95 percent (P-value = .033) reduction in gross payments to dentists. Conversely, a 10 percent increase in dentist concentration is associated with a more modest 0.71 percent (P-value = .024) increase in gross payments. A 10 percent increase in dental insurance concentration is associated with a 1.16 percentage point (P-value = .016) decline in the allowed-to-list price ratio, while a 10 percent increase in dentist concentration is associated with a 0.56 percentage point (P-value = .001) increase in the allowed-to-list price ratio. Similar patterns were found across dental procedure subcategories. Conclusions Dental provider markets are substantially less concentrated than insurance markets, which may limit the ability of dentists to garner higher reimbursement.

Objectives: To investigate trends in racial/ethnic differences in nursing home (NH) residents’ quality of life (QoL) and assess these patterns within and between facilities. Method: Data include resident-reported QoL surveys ( n = 60,093), the Minimum Data Set, and facility-level characteristics ( n = 376 facilities) for Minnesota. Hierarchical linear models were estimated to identify differences in QoL by resident race/ethnicity and facility racial/ethnic minority composition for 2011–2015. Results: White residents in low-proportion racial/ethnic minority facilities reported higher QoL than both minority and white residents in high-proportion minority facilities. While the year-to-year differences were not statistically significant, the point estimates for white–minority disparity widened over time. Discussion: Racial/ethnic differences in QoL are persistent and may be widening over time. The QoL disparity reported by minority residents and all residents in high-proportion minority facilities underscores the importance of examining NH structural characteristics and practices to ultimately achieve the goal of optimal, person-centered care in NHs.

In this paper, we explore the effects of primary care physician (PCP) practice competition on five distinct quality metrics directly tied to screening, follow-up care, and prescribing behavior under Medicare Part B and D. Controlling for physician, practice, and area characteristics as well as zip code fixed effects, we find strong evidence that PCP practices in more concentrated areas provide lower quality of care. More specifically, PCPs in more concentrated areas are less likely to perform screening and follow-up care for high blood pressure, unhealthy bodyweight, and tobacco use. They are also less likely to document current medications. Furthermore, PCPs in more concentrated areas have a higher amount of opioid prescriptions as a fraction of total prescriptions.

Background and Objectives Nursing homes (NHs) are serving greater proportions of residents with serious mental illness (SMI), and it is unclear whether this affects NH quality. We analyze the highest and lowest quartiles of NHs based on the proportion of residents with SMI and compare these NHs on facility characteristics, staffing, and quality stars. Research Design and Methods National Certification and Survey Provider Enhanced Reports data were merged with NH Compare data for all freestanding certified NHs in the continental United States in 2016 (N = 14,460). NHs were categorized into “low-SMI” and “high-SMI” facilities using the lowest and highest quartiles, respectively, of the proportion of residents in the NH with SMI. Bivariate analyses and logistic models were used to examine differences in organizational structure, payer mix, resident characteristics, and staffing levels associated with high-SMI NHs. Linear models examined differences in quality stars. Results High-SMI facilities were found to report lower direct-care staffing hours, have a greater Medicaid-paying resident census, were more likely to be for-profit, and scored lower on all NH Compare star ratings in comparison to all other NHs. Discussion and Implications As the SMI population in NHs continues to grow, a large number of residents have concentrated in a few NHs. These are uniquely different from typical NHs in terms of facility characteristics, staffing, and care practices. While further research is needed to understand the implications of these trends, public policymakers and NH providers need to be aware of this population’s unique—and potentially unmet—needs.

ImportanceThe 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.ObjectiveTo construct and compare star ratings specific to recertification surveys and specific to complaint investigations to discern whether they provide different information.Design, Setting, and ParticipantsIn 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 MeasuresComparison 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.ResultsAmong 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 RelevanceIn 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.

While research tends to find an association of nurse staffing with quality in nursing homes, few studies examine complaints as a quality measure or account for ancillary staff. This study used federal nursing home complaint data to examine how key explanatory variables including nursing and ancillary staffing were associated with numbers of complaints and the likelihood of receiving a complaint. Results support that nursing home staffing is associated with quality. While direct care staffing was associated with fewer complaints, larger effects were found for social service and activities staffing. Increasing ancillary staffing may be a cost-effective way to reduce complaints.

Objectives: The objective of this study was to examine the relationship between high wages and empowerment practices on certified nursing assistant (CNA) retention, necessary for providing high-quality care for nursing home (NH) residents. Methods: Measures of provider-level CNA empowerment and wages from the 2015 Ohio Biennial Survey were used to estimate two regression models on retention ( n = 719), one without and one with an interaction term of high wages and high empowerment. Results: Only in the context of the interacted model were NHs that provided both high wages and high empowerment associated with a 7.09 percentage-point improvement in the CNA retention rate ( p = .0003). Individually, high wages and a high empowerment score were not statistically significant in either regression model. Discussion: Retaining CNAs in NH communities requires a combination of empowerment practices (e.g., involving CNAs in decision-making about hiring other staff) and high hourly wages.

Nursing homes (NHs) in micropolitan areas are reported to have different facility and market factors than urban NHs, but how these factors contribute to differences in emergency department (ED) visits remains unknown. This study examined and quantified sources of micropolitan-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentially avoidable ED (PAED) visits of long-stay residents.The 2011-2013 national Medicare claims and NH Minimum Data Set (MDS) 3.0 were analyzed. We implemented generalized estimating equation models to examine micropolitan-urban differences in ED rates and Blinder-Oaxaca decompositions to quantify the contributions of NH and market factors.The study cohort included 12,883 unique privately owned, freestanding NHs from urban and micropolitan areas.Quarterly risk-adjusted rates of any ED visits, outpatient ED visits, and PAED visits were calculated from Medicare claims and MDS. NH and market characteristics were extracted from the Certification And Survey Provider Enhanced Reporting and Area Health Resources File.Over the study period, risk-adjusted rates averaged 10.2%, 3.4%, and 3.3% for any ED, outpatient ED, and PAED visits, respectively. Compared with urban NHs, micropolitan NHs reported similar rates of any ED, but significantly higher rates of outpatient ED and PAED (β = 0.20% and 0.27%; both P.05). Observable differences in NH characteristics (eg, number of beds, percentage Medicare or Medicaid residents, and employment of nurse practitioners and physician assistants) explained more than 20% of the micropolitan-urban differences in rates of outpatient ED and PAED visits; market factors (mainly Medicare Advantage penetration) explained about 46% of the differences in rates of outpatient ED visits.Compared with urban NHs, micropolitan NHs tend to utilize more avoidable emergency care that can be partially explained by facility size, payer mix, use of nurse practitioners and physician assistants, and market structure.

Occupational licensing has grown dramatically in recent years, with more than 25% of the US workforce having a license as of 2008, up from 5% in 1950. Has licensing improved quality or is it simply rent-seeking behavior by incumbent workers? To estimate the impact of increased licensure of social workers in skilled nursing facilities (SNFs) on service quality, the authors exploit a federal staffing provision that requires SNFs of a certain size to employ licensed social workers. Using a regression discontinuity design, the authors find that qualified social worker staffing increases by approximately 10%. However, the overall increase in social services staffing is negligible because SNFs primarily meet this requirement in the lowest cost way—substituting qualified social workers for unlicensed social services staff. The authors find no evidence that the increase in licensure improves patient care quality, patient quality of life, or quality of social services provided.

Background and Objectives Assisted living facilities (ALFs) have experienced rapid growth in the past few decades. The expansion in the number of ALFs may cause markets to become oversaturated, and a greater risk of unprofitable ALFs to close. However, no studies have investigated ALF closure. This study adapted a model developed for the nursing home market for the ALF market to examine the organizational, internal, and external factors associated with closure. Research Design and Methods Data on 1,939 ALFs operating in 2013 from Florida were used to estimate a logistic regression to examine the organizational, internal, and external factors that were associated with closure between 2013 and 2015. Results During the 2-year study period, 141 ALFs (7.3%) closed. Significant factors associated with increased odds of closure included fewer beds, not accepting Medicaid, and more deficiencies. Two factors (market concentration and population density) were marginally significant. Discussion and Implications The results of this study confirm the usefulness of a model that includes organizational, internal, and external factors to predict ALF closure. These outcomes highlight the concerns that closure can affect access to community-based long-term care, especially for rural older adults, and indicate an expansion of Medicaid acceptance in ALFs could be protective against closure.

With nursing homes being hit hard by the COVID-19 pandemic, it is important to know whether facilities that have any cases, or those with particularly high caseloads, are different from nursing homes that do not have any reported cases. Our analysis found that through mid-June, just under one-third of nursing homes in Ohio had at least one resident with COVID-19, with over 82% of all cases in the state coming from 37% of nursing homes. Overall findings on the association between facility quality and the prevalence of COVID-19 showed that having any resident case of the virus or even having a high caseload of residents with the virus is not more likely in nursing homes with lower quality ratings.

Consumers play a key role in the U.S. nursing home (NH) oversight through a federally established complaint process. However, past variation by state in complaint numbers and rates raised questions about the uniformity of the process. We examined state variation in numbers of complaints at intake and substantiated complaints, percentages of NHs with at least one complaint and one substantiated complaint, number of allegations per complaint, and complaint substantiation rates. We found state variation most prominently at the intake level, ranging from 0.4 to 30.4 complaints per NH. The investigation process appears to reduce this variation: however, variation remains among states in frequency and prevalence of substantiated complaints. Further work is needed to ensure federal standards concerning the handling of consumer complaints are applied equally across the states. This includes policies affecting how complaints are initially filed, in addition to how complaints are investigated.

What services are available and where racial and ethnic minorities receive long-term services and supports (LTSS) have resulted in a lower quality of care and life for racial/ethnic minority users. These disparities are only likely to worsen during the COVID-19 pandemic, as the pandemic has disproportionately affected racial and ethnic minority communities both in the rate of infection and virus-related mortality. By examining these disparities in the context of the pandemic, we bring to light the challenges and issues faced in LTSS by minority communities with regard to this virus as well as the disparities in LTSS that have always existed.

Objectives Hospitalizations 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). Design The 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 Participants In total, 14,600 unique NHs. Measures Risk-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. Results Over 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/Implications Rurality 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.

Objectives The Preferences Assessment Tool (PAT) in the Minimum Data Set (MDS) 3.0 assesses 16 resident preferences for daily routines and activities. Although integrating important preferences into care planning is essential to provide person-centered care in nursing homes (NHs), preferences rated as important but unmet or unimportant may not receive much attention. This study aims to (1) identify the prevalence of unmet preferences and unimportant preferences, and (2) examine their associations with resident and facility-level characteristics. Design This is a longitudinal study of residents in NHs. Settings and Participants We used data from 2012–2017 MDS assessments of long-stay residents aged 65 or older in 295 Minnesota NHs. In total, 51,859 assessments from 25,668 residents were included. Methods Generalized linear mixed models were used to analyze resident and facility-level characteristics associated with having any unmet preferences, and with the number of unimportant preferences. Results Across all years for both daily routine preferences and activity preferences, 3.3% to 5.1% of residents reported that at least 1 or more preference was important but unmet, and 10.0% to 16.6% reported that 4 or more out of the 8 preferences were unimportant. Residents with higher depressive symptoms, and poorer physical and sensory function were more likely to report unmet preferences. Residents with poorer physical and sensory function, and living in rural facilities and facilities having fewer activity staff hours per resident day were more likely to report unimportant preferences. Conclusions and Implications Residents with functional and sensory limitations and living in underresourced NHs are more likely to report that preferences are unimportant, or that they are important but unmet. It is important for staff to elicit preferences that truly matter for residents, and to enable residents to meet their preferences.

Background and Objectives The proportion of racial/ethnic minority older adults in nursing homes (NHs) has increased dramatically and will surpass the proportion of white adults by 2030.Yet, little is known about minority groups’ experiences related to the quality of life (QOL). QOL is a person-centered measure, capturing multiple aspects of well-being. NH quality has been commonly measured using clinical care indicators, but there is growing recognition for the need to include QOL. This study examines the role of individual race/ethnicity, facility racial/ethnic composition, and the interaction of both for NH resident QOL. Research Design and Methods We used a unique state-level data set that includes self-reported QOL surveys with a random sample of long-stay Minnesota NH residents, using a multidimensional measure of QOL. These surveys were linked to resident clinical data from the Minimum Dataset 3.0 and facility-level characteristics. Minnesota is one of the two states in the nation that collects validated QOL measures, linked to data on resident and detailed facility characteristics. We used mixed-effects models, with random intercepts to model summary QOL score and individual domains. Results We identified significant racial disparities in NH resident QOL. Minority residents report significantly lower QOL scores than white residents, and NHs with higher proportion minority residents have significantly lower QOL scores. Minority residents have significantly lower adjusted QOL than white residents, whether they are in low- or high-minority facilities, indicating a remaining gap in individual care needs. Discussion and Implications The findings highlight system-level racial disparities in NH residents QOL, with residents who live in high-proportion minority NHs facing the greatest threats to their QOL. Efforts need to focus on reducing racial/ethnic disparities in QOL, including potential public reporting (similar to quality of care) and resources and attention to provision of culturally sensitive care in NHs to address residents’ unique needs.

Since the 2000s, private equity (PE) firms have been actively acquiring nursing homes (NH). This has sparked concerns that with stronger profit motive and aggressive use of debt financing, PE ownership may tradeoff quality for higher profits. To empirically address this policy concern, we construct a panel dataset of all for-profit NHs in Ohio from 2005 to 2010 and link it with detailed resident-level data. We compare the quality of care provided to long-stay residents at PE NHs and other for-profit (non-PE) NHs. To account for unobservable resident selection, we use differential distance to the nearest PE NH relative to the nearest non-PE NH in an instrumental variables approach with and without NH fixed effects. In contrast to concerns of the public regarding quality deterioration associated with PE ownership, we find that PE ownership does not lead to lower quality for long-stay NH residents, at least in the medium term.

Background and Objectives Certified nursing assistant (CNA) turnover and retention are critical aspects of facilities’ ability to provide cost-effective, high-quality person-centered care. Previous studies and industry practice often treat turnover and retention as similar concepts, assuming that low turnover and high retention are synonymous. The study addressed the question of whether turnover and retention rates differ and if so, what those differences mean for nursing home practice, policy, and research. Research Design and Methods This study examines facility-level factors associated with CNA retention and turnover rates using 2015 data from the Ohio Biennial Survey of Long-Term Care Facilities, Ohio Medicaid Cost Reports, Certification and Survey Provider Enhanced Report, and the Area Health Resource File. Using bivariate tests and regression analysis, we compare rates and the factors associated with retention and turnover. Results The mean facility annual retention rate was 64% and the mean annual turnover rate was 55%. As expected, there was a statistically significant and negative correlation between the rates (r = −0.26). However, some facilities had both high retention and high turnover and some had low rates for both measures. Not all the variables that are associated with turnover are also associated with retention. Discussion and Implications CNA retention is not simply the absence of CNA turnover. Given the differences, nursing homes may need to use strategies and policies designed to target a particular stability measure.

Purpose: Family satisfaction, while recognized as important, is frequently missing from validated measures of long-term care quality. This paper uses validated measures from two states and identifies organizational and structural factors associated with higher family satisfaction with nursing home care. Methods: Data sources are family satisfaction surveys from Minnesota (MN) (N = 13,646) and Ohio (OH) (N = 26,460), linked to facility characteristics from CASPER for both states (N=378 facilities for MN; N=926 facilities for OH). We used multivariate analyses to identify the facility predictors of aggregate family satisfaction and compared findings across the two states. We examined satisfaction for questions pertaining to 5 distinct domains of satisfaction, an indicator of global satisfaction (whether the respondent would recommend the facility), and a summary score. Results: Activities and food were among lowest rated items in both states, with relationships with staff as the highest rated domain across both MN and OH. Higher occupancy rates, smaller facility size, and non-profit ownership consistently predicted better satisfaction in both states. Higher activity staff hours were positively associated with higher satisfaction in MN but not OH, while nursing assistant staffing consistently predicted satisfaction in OH but not MN. Discussion: This is the first study to compare family satisfaction across two states, with findings showing consistency of organizational and structural factors associated with higher family satisfaction. Our findings provide further evidence to the validity of family satisfaction as a person-centered measure of quality and lay the foundation for tool development on the national level.

Health care providers face fixed reimbursement rates from government sources and need to carefully adjust staffing to achieve the highest quality within a given cost structure. With data from the Certification and Survey Provider Enhanced Reports (1999-2015), this study holistically examined how staffing levels affect two publicly reported measures of quality in the nursing home industry, the number of deficiency citations and the deficiency score. While higher staffing consistently yielded better quality, the largest quality improvements resulted from increasing administrative registered nurses and social service staffing. After adjusting for wages, the most cost-effective investment for improving overall deficiency outcomes was increasing social services. Deficiencies related to quality of care were improved most by increasing administrative nursing and social service staff. Quality of life deficiencies were improved most by increasing social service and activities staff. Approaches to improve quality through staffing adjustments should target specific types of staff to maximize return on investment.

Nursing homes (NH) are inspected annually, however, residents and others can file complaints any time. Complaints are critical to NH oversight. Another important quality factor is staffing. Our objective was to examine the association of complaints and staffing levels in a 2017 sample of 14,194 freestanding NHs. We used federal data on NH complaints, quality, staffing, and other characteristics. The outcomes were having received at least one complaint (or not) and numbers of complaints. Using logit and negative binomial regression, controlling for facility and resident characteristics, we found greater registered nurse, nursing assistant, and social services staffing were associated with fewer complaints. Interestingly, licensed practical nurse (LPN) staffing was associated with a higher likelihood of receiving a complaint. Results are consistent with literature on nurse staffing and quality. LPN results raise questions about substituting LPNs for RNs. The social services results show social services staffing may be important for quality.

Low retention of certified nursing assistants (CNAs) and direct care workers (DCWs) continues to be an unresolved problem for nursing homes (NH) and assisted living (AL) settings. While numerous studies have examined predictors of CNA retention in NHs, little attention has been paid to differences between settings of long-term care. To inform practice and policy related to growth in the AL industry, this study compares the predictors of CNA and DCW retention rates. The 2017 Ohio Biennial Survey of Long-Term Care Facilities provides facility-level information from 968 NHs (91% response rate) and 708 ALs (88% response rate). Using regression analysis, we compare the factors that predict retention rates among providers with complete data on retention and controls. The same covariates relating to structural and financial characteristics, as well as staffing, management, and a number of retention best practices are used. Average DCW and CNA retention rates were 66% and 61% in ALs and NHs, respectively, with some settings reporting very low (and even 0%) retention over a year. AL and NH providers rated the problem’s severity highest (6 out of 10) compared to retaining other licensed nurses. Similar and different predictors were found across financial, environmental, and managerial practices supporting retention. CNA and DCW retention strategies may not be equivalently meaningful between settings, given differing working environments, resources, and regulations. Aging services managers should be attuned to practices supporting retention in their industry.

Complaints provide important information to consumers about nursing homes (NHs). Complaints that are substantiated often lead to an investigation and potentially a deficiency citation. The purpose of this study is to understand the relationship between substantiated complaints and deficiency citations. Because a complaint may contain multiple allegations, and the data do not identify which allegation(s) lead to a complaint’s substantiation, we identified all substantiated single allegation complaints for NHs in 2017. Our data were drawn from federally collected NH complaint and inspection records. Among the 369 substantiated single-allegation complaints, we found most were categorized as quality of care (31.7%), resident abuse (17.3%), or resident neglect (14.1%). Of the deficiency citations resulting from complaints in our sample, 27.9% were categorized as quality of care and 19.5% were in the category of resident behavior and facility practices, which includes abuse and neglect. While two-thirds (N=239) of the substantiated complaints generated from 1 to 19 deficiency citations, nearly one third had no citations. Surprisingly, 28% of substantiated abuse and neglect allegations resulted in no deficiency citations. More surprisingly, a fifth of complaints that were categorized as “immediate jeopardy” at intake did not result in any deficiency citations. We also found a number of asymmetries in the allegation categories suggesting different processes by Centers for Medicare and Medicaid Services (CMS) region. These results suggest that the compliant investigation process warrants further investigation. Other policy and practice implications, including the need for better and more uniform investigation processes and staff training, will be discussed.

Studies suggest that nursing homes (NHs) that predominantly serve residents with serious mental illness (SMI) are of worse quality due to poor resources (i.e., high Medicaid-paying census) and lower staffing. We used national Certification and Survey Provider Enhanced Reports (CASPER) data to examine the deficiencies issued to NHs from 37,800 recertification inspections of 14,582 unique NHs from 2014 to 2017. NHs were categorized into “low-SMI” and “high-SMI” facilities using the lowest and highest quartiles, respectively, of the proportion of residents in the NH with SMI. Bivariate analyses were used to assess for differences between low-SMI and high-SMI NHs in the number of deficiencies, the deficiency score (a point-based metric developed by the Centers for Medicare & Medicaid Services), and the scope and severity of deficiencies. In total, there were 245,178 deficiencies issued. In comparison to low-SMI NHs, high-SMI NHs received a greater deficiency score and more deficiencies per survey (p

Within the United States, a growing debate about special tax treatment and community benefits provided by not-for-profits (NFPs) has been occurring. While the nondistribution constraint of NFPs is often thought to incentivize higher quality and more charitable care, NFPs may also be used by contractors for personal gain. This study explores whether the use of external contractors by NFP health care providers alter behavior. Using a sample of patients receiving rehabilitative care for hip fractures in skilled nursing facilities, and exploiting variation in ownership and contracting status, this study finds contracting in NFPs results in increased prevalence of profit-maximizing behaviors more commonly associated with FPs. Furthermore, contracting results in more revenue focused care delivery patterns.

Although nurse staffing has been extensively studied within nursing homes (NHs), social services has received less attention. The study describes how social service departments are organized in NHs and examines the structural characteristics of NHs and other macro-focused contextual factors that explain differences in social service staffing patterns using longitudinal national data (Certification and Survey Provider Enhanced Reports, 2009-2012). NHs have three patterns of staffing for social services, using qualified social workers (QSWs); paraprofessional social service staff; and interprofessional teams, consisting of both QSWs and paraprofessionals. Although most NHs employ a QSW (89 percent), nearly half provide social services through interprofessional teams, and 11 percent rely exclusively on paraprofessionals. Along with state and federal regulations that depend on facility size, other contextual and structural factors within NHs also influence staffing. NHs most likely to hire QSWs are large facilities in urban areas within a health care complex, owned by nonprofit organizations, with more payer mixes associated with more profitable reimbursement. QSWs are least likely to be hired in small facilities in rural areas. The influence of policy in supporting the professionalization of social service staff and the need for QSWs with expertise in gerontology, especially in rural NHs, are discussed.

This article explores the differentiated effects of health insurer market concentration on net compensation of employees across distinct firm sizes. Consistent with the existing literature evaluating insurer market concentration and the theory of compensating differentials, we find evidence of higher premiums and reduced net compensation for employees in markets with more concentrated insurers. Furthermore, we find evidence that the magnitude of these effects is distinctly smaller for large employers. This implies that mergers of large health insurance companies may have a significant impact on small businesses but that the effect is mitigated for larger employers.