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.

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.

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.

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.

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.

The Need for an Economically Feasible Nursing Home Staffing Regulation: Evaluating an Acuity-Based Nursing Staff Benchmark.

Background and Objectives: Despite concerns about the adequacy of nursing home (NH) staffing, the federal agency responsible for NH certification and regulation has never adopted an explicit quantitative nursing staff standard. A prior study has proposed a benchmark for this purpose based on the 1995/97 Staff Time Measurement (STM) studies. This article aims to assess the extent to which NHs staff to this proposed STM benchmark, the extent to which regulators already implicitly apply the STM benchmark, and compute the additional operating expenses NHs would incur to adhere to the STM benchmark. Research Design and Methods: Using NH Compare Archive data, the STM benchmark was compared to staffing levels reported by the facility and whether NHs received a nursing staff deficiency. Using financial information from Medicare Cost Reports, the additional annual operating expenses required to staff to the STM benchmark were calculated for each state and nationwide. Results: The vast majority of NHs did not staff to the STM benchmark; 80.2% for registered nurses and 60.0% for total nursing staff. Deficiency patterns showed that NH regulators were not using the STM benchmark to determine sufficiency of nursing staff. Implementing the STM benchmark as a regulatory standard would increase operating expenses for 59.1% of NHs, at an average annual cost of half-million dollars per facility. The nationwide increase in operating expense is estimated to be at least $4.9 billion per year. Discussion and Implications: Without clear guidance on the staffing level needed to be sufficiently staffed, most NHs are subject to a community standard of care, which some have argued could be associated with suboptimal staffing levels. Implementing an acuity-based benchmark could result in improved staffing levels but also comes with significant economic costs. The STM benchmark is not economically feasible at current Medicare and Medicaid reimbursement levels.

The effect on dental care utilization from transitioning pediatric Medicaid beneficiaries to managed care.

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.

Evidence for Action: Addressing Systemic Racism Across Long-Term Services and Supports.

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 homelike, 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 that are needed to reimagine how long-term care is delivered, especially for BIPOC populations.

Decomposing Differences in Risk-Adjusted Rates of Emergency Department Visits Between Micropolitan and Urban Nursing Homes.

OBJECTIVES: 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. DESIGN: 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. SETTING AND PARTICIPANTS: The study cohort included 12,883 unique privately owned, freestanding NHs from urban and micropolitan areas. MEASURES: 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. RESULTS: 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 (ß = 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. CONCLUSIONS AND IMPLICATIONS: 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.

The One-Two Punch of High Wages and Empowerment on CNA Retention.

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.

Factors Associated With Assisted Living Facility Closure.

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.

Nursing home care under Medicaid managed long-term services and supports.

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.

Pricing in commercial dental insurance and provider markets.

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.

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

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.

Decomposing Racial and Ethnic Disparities in Nursing Home Quality of Life.

This study examines the racial/ethnic disparity among nursing home (NH) residents using a self-reported, validated measure of quality of life (QoL) among long-stay residents in Minnesota. Blinder-Oaxaca decomposition techniques determine which resident and facility factors are the potential sources of the racial/ethnic disparities in QoL. Black, Indigenous, and other People of Color (BIPOC) report lower QoL than White residents. Facility structural characteristics and being a NH with a high proportion of residents who are BIPOC are the factors that have the largest explanatory share of the disparity. Modifiable characteristics like staffing levels explain a small share of the disparity. To improve the QoL of BIPOC NH residents, efforts need to focus on addressing systemic disparities for NHs with a high proportion of residents who are BIPOC.

Rural-Urban Differences in Nursing Home Risk-adjusted Rates of Emergency Department Visits: A Decomposition Analysis.

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 (ß=-1.67%, -0.44%, and -0.28%; all P<0.01). Observable differences in market factors (nursing home bed concentration, hospital beds, and the existence of a critical access hospital) explained about half of the rural-urban differences in rates of any ED and PAED, but not outpatient ED. CONCLUSIONS: Decomposition analyses suggested that lower ED rates in rural NHs appear to be related to market availability of hospital resources. Policymakers may focus on not only reducing unnecessary ED visits but also ensuring equitable hospital access in rural areas.

Primary care competition and quality of care: Empirical evidence from Medicare.

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.