Facilitators of and barriers to County Behavioral Health System Transformation and Innovation: an interview study.

BACKGROUND: Inadequate and inequitable access to quality behavioral health services and high costs within the mental health systems are long-standing problems. System-level (e.g., fee-for-service payment model, lack of a universal payor) and individual factors (e.g., lack of knowledge of existing resources) contribute to difficulties in accessing resources and services. Patients are underserved in County behavioral health systems in the United States. Orange County's (California) Behavioral Health System Transformation project sought to improve access by addressing two parts of their system: developing a template for value-based contracts that promote payor-agnostic care (Part 1); developing a digital platform to support resource navigation (Part 2). Our aim was to evaluate facilitators of and barriers to each of these system changes. METHODS: We collected interview data from County or health care agency leaders, contracted partners, and community stakeholders. Themes were informed by the Consolidated Framework for Implementation Research. RESULTS: Five themes were identified related to behavioral health system transformation, including 1) aligning goals and values, 2) addressing fit, 3) fostering engagement and partnership, 4) being aware of implementation contexts, and 5) promoting communication. A lack of fit into incentive structures and changing state guidelines and priorities were barriers to contract development. Involving diverse communities to inform design and content facilitated the process of developing digital tools. CONCLUSIONS: The study highlights the multifaceted factors that help facilitate or hinder behavioral health system transformation, such as the need for addressing systematic and process behaviors, leveraging the knowledge of leadership and community stakeholders, fostering collaboration, and adapting to implementation contexts.

Dementia Care Is Widespread In US Nursing Homes; Facilities With The Most Dementia Patients May Offer Better Care.

More than three million US nursing home residents were diagnosed with Alzheimer's disease and related dementias (ADRD) between 2017 and 2019. This number is expected to increase as the population ages and ADRD prevalence increases. People with ADRD require specialized care from trained staff. This study addressed two questions: Are residents with ADRD concentrated in nursing homes where they are the majority? If not, what are the implications for their quality of care and life? We answered the first question by determining the ADRD census for each nursing home in the country during the period 2017-19. Using the Minimum Data Set and Medicare claims, we compared characteristics of nursing homes with high and low ADRD census along several dimensions, including staffing, resident outcomes, and resident characteristics. We found that residents with ADRD were dispersed throughout all nursing homes, with fewer than half residing in nursing homes where residents with ADRD accounted for 60-90 percent of the census. Furthermore, only facilities exceeding 90 percent of residents with ADRD seemed to offer better care. These findings raise concerns about the quality of care and life for the majority of residents with ADRD, suggesting that current National Institutes of Health dementia research initiatives and the Biden administration's policies to improve nursing home care should be coordinated.

Examining California nursing home profitability and related factors before and during the COVID-19 pandemic.

BACKGROUND: The financial status of nursing homes (NHs) is a policy concern, especially during a pandemic, because of the higher costs associated with infection prevention and resident care. METHODS: This exploratory study was designed to assess the impact of the federal and state COVID-19 funding support on California NHs profitability during 2020, the first year of the pandemic, compared with 2019, the last pre-pandemic year. The study examined the association of Medicare and Medicaid days, related-party transactions, as well as other facility characteristics on net income profit margins, using cross-sectional regression analysis of data from state NH cost reports and federal NH provider data for 2019 and 2020. RESULTS: California skilled NHs had average reported net income profit margins of 2.26% in 2019 and 7.0% in 2020 with wide variations (from a loss of about 48% to a gain of 74% in 2020). Regression analysis found that the number of beds, occupancy rates, high-quality rating scores, and medium and high proportions of Medicare resident days were positively associated with net income margins in 2019 and 2020. Chains in 2020 (but not 2019), related-party expenditures in 2019 and 2020, median Medicaid days (in 2019), high Medicaid resident days (71%-73% or higher) in 2019 and 2020, and medium and high managed care resident days were negatively associated with net income margins in both years. CONCLUSIONS: Although NH admissions and occupancy rates declined substantially between 2019 and 2020, some (but not all) California NHs had a substantial increase in profit margins in 2020 over 2019. More studies of nursing home financial patterns and profitability are needed to examine trends over time and variations across states.

Association of Staffing Instability With Quality of Nursing Home Care.

Importance: Recent work suggests that instability in nursing home staffing levels may be an important marker of nursing home quality. Whether that association holds when controlling for average staffing levels is unknown. Objective: To examine whether staffing instability, defined as the percentage of days below average staffing levels, is associated with nursing home quality when controlling for average staffing levels. Design, Setting, and Participants: This quality improvement study of 14 717 nursing homes used the merged Centers for Medicare & Medicaid Services Payroll Based Journal, Minimum Data Set, Nursing Home Care Compare, and Long-Term-Care Focus data for fiscal years 2017 to 2019. Statistical analysis was performed from February 8 to November 14, 2022. Main Outcomes and Measures: Linear, random-effect models with state fixed effects and robust SEs were estimated for 12 quality indicators as dependent variables, percentage of below-average staffing days as independent variables, controlling for average staffing hours per resident-day for registered nurses, licensed practical nurses, and certified nurse aides. Below-average staffing days were defined as those 20% below the facility average, by staffing type. Quality indicators included deficiency citations; long-stay residents receiving an antipsychotic; percentage of high-risk long-stay residents with pressure ulcers (2 different measures for pressure ulcers were used); and percentage of long-stay residents with activities of daily living decline, mobility decline, emergency department visits, and hospitalizations; and short-stay residents with new antipsychotic medication, mobility decline, emergency department visits, and rehospitalizations. Results: For the 14 717 nursing homes in this study, the mean (SD) percentage of days with below-average staffing was 30.2% (12.0%) for registered nurses, 16.4% (11.3%) for licensed practical nurses, and 5.1% (5.3%) for certified nurse aides. Mean (SD) staffing hours per resident-day were 0.44 (0.40) for registered nurses, 0.80 (0.32) for licensed practical nurses, and 2.20 (0.50) for certified nurse aides. In regression models that included average staffing, a higher percentage of below-average staffing days was significantly associated with worse quality for licensed practical nurses in 10 of 12 models, with the largest association for decline of activities of daily living among long-stay residents (regression coefficient, 0.020; P < .001). A higher percentage of below-average staffing days was significantly associated with worse quality for certified nurse aides in 9 of 12 models, with the largest association for short-stay functioning (regression coefficient, 0.030; P = .01). Conclusions and Relevance: This study suggests that holding average staffing levels constant, day-to-day staffing stability, especially avoiding days with low staffing of licensed practical nurses and certified nurse aides, is a marker of better quality of nursing homes. Future research should investigate the causes and potential solutions for instability in staffing in all facilities, including those that may appear well-staffed on average.

Hospitals serving nursing home residents disproportionately penalized under hospital readmissions reduction program.

BACKGROUND: Risk factors common to nursing home (NH) residents are potentially not fully captured by the Hospital Readmissions Reduction Program (HRRP). The unique challenges faced by hospitals that disproportionately serve NH residents who are at greater risk of readmissions have not been studied. METHODS: Using 100% Medicare Provider Analysis and Review File and the Minimum Data Set from 2010-2013, we constructed a measure of hospital share of NH-originating hospitalizations (NOHs). We defined hospital share of NOHs as the proportion of inpatient stays by patients aged 65 or older who were directly admitted from NHs. To evaluate the impact of the share of NOHs on readmission penalties, we categorized hospitals into quartiles according to their share of NOHs and estimated the differences in the adjusted penalties across hospital quartiles after accounting for hospital characteristics, market characteristics and state fixed effects. We repeated the analyses for the penalties incurred in each year between 2015 and 2019. RESULTS: Hospitals varied substantially in the share of NOHs (median [interquartile range], 11.3% [8.2%-15.1%]), with limited variation over time. In 2015, hospitals in the highest quartile of NOH received on average 0.58% Medicare payment reduction compared to 0.44% reduction among those in the lowest quartile (32.9% higher penalties, p < 0.001). The increase in penalties continued to grow in 2017 and 2018 when the HRRP expanded to include additional target conditions (47.3% and 66.7%, respectively, p < 0.001 for both). Although the effect diminished in 2019 following the additional adjustment for hospital's dual-eligible share, hospitals in the highest quartile of NOH still incurred 43.0% (p < 0.001) higher penalties than those in the lowest quartile. CONCLUSIONS: Hospitals varied considerably in their share of NOHs. Hospitals having a higher share of NOHs were disproportionately penalized for excess readmissions, even under the revised policy that adjusts for the share of dual-eligible admissions.

Understanding the Potential of Mental Health Apps to Address Mental Health Needs of the Deaf and Hard of Hearing Community: Mixed Methods Study.

BACKGROUND: Mental health concerns are a significant issue among the deaf and hard of hearing (D/HH) community, but community members can face several unique challenges to accessing appropriate resources. OBJECTIVE: The aim of this study was to investigate the mental health needs of the D/HH community and how mental health apps may be able to support these needs. METHODS: A total of 10 members of the D/HH community participated in a focus group and survey to provide their perspectives and experiences. Participants were members of the Center on Deafness Inland Empire team, which comprises people with lived experience as members of and advocates for the D/HH community. RESULTS: Findings identified a spectrum of needs for mental health apps, including offering American Sign Language and English support, increased education of mental health to reduce stigma around mental health, direct communication with a Deaf worker, and apps that are accessible to a range of community members in terms of culture, resources required, and location. CONCLUSIONS: These findings can inform the development of digital mental health resources and outreach strategies that are appropriate for the D/HH community.

Daily Variation in Nursing Home Staffing and Its Association With Quality Measures.

Importance: Average staffing measures are a focus of nursing homes' quality assessments and reporting. They may, however, mask daily variation in staffing, additional information that could be important for understanding nursing home quality and relative ranking. Objective: To examine daily variation in staffing, its association with quality, and whether daily variation provides information regarding quality ranking of nursing homes over and above the information provided by average staffing levels. Design, Setting, and Participants: This quality improvement study included registered nurses (RNs) and certified nurse aide (CNAs) at 13 339 certified nursing homes throughout the United States during 2017 to 2018. Retrospective analyses of the Payroll-Based Journal, Medicare Cost Reports, and Nursing Home Care Compare were conducted. Data were analyzed from January 2017 to December 2018. Main Outcomes and Measures: Three measures of daily variation, ie, coefficient of variation (COV), total outlier days (TOD), and low outlier days (LOD), were calculated for RNs and CNAs. The association between these measures and quality rankings and other facility characteristics were evaluated. Results: A total of 13 339 nursing homes were included in this study, with 9476 (71%) for-profit facilities. The mean (SD) hours-per-resident-day were 0.41 (0.29) for RNs and 2.16 (0.49) for CNAs, and a mean (SD) 55% (26%) of residents were Medicaid beneficiaries. Outcome measures were as follows: mean (SD) COV, 0.5 (0.6) for RNs and 0.1 (0.1) for CNAs; mean (SD) TOD, 220 (69) for RNs and 44 (45) for CNAs; and mean (SD) LOD, 116 (45) for RNs and 22 (24) for CNAs. All 3 variation measures, for both RNs and CNAs, were significantly associated with both the 5-Star Quality Measures (COV among RNs, -0.014 [95% CI, -0.021 to -0.007]; P < .001; COV among CNAs: -0.004 [95% CI, -0.006 to -0.003]; P < .001; TOD among RNs, -3.79 [95% CI, -4.59 to -2.99]; P < .001; TOD among CNAs, -2.52 [95% CI, -3.08 to -1.96]; P < .001; LOD among RNs, -2.46 [95% CI, -3.03 to -1.88]; P < .001; LOD among CNAs, -1.29 [95% CI, -1.58 to -0.99]; P < .001) and the 5-Star Survey rankings (COV among RNs,-0.026 [95% CI, -0.033 to -0.019]; P < .001; COV among CNAs: -0.006 [95% CI, -0.007 to -0.004]; P < .001; TOD among RNs, -5.10 [95% CI, -5.97 to -4.23]; P < .001; TOD among CNAs, -4.16 [95% CI, -4.77 to -3.55]; P < .001; LOD among RNs, -3.04 [95% CI, -3.65 to -2.44]; P < .001; LOD among CNAs, -1.97 [95% CI, -2.29 to -1.65]; P < .001) published in Nursing Home Care Compare. Low κ values, ranging from 0.23 to 0.63, indicated that the variation measures add information about ranking to the information provided by average staffing measure. Conclusions and Relevance: These findings highlight the importance of reporting daily variation in staffing to improve understanding of the relationship between staffing and quality. They suggest that 2 facilities with the same average staffing achieve different quality of resident care and survey ratings in association with on the day-to-day variation in staffing. Measures of daily staffing may enhance the value of Nursing Home Care Compare for nursing homes and others engaged in quality improvement and consumers searching for high quality nursing homes.

Home Health Care Quality, Its Costs and Implications for Home Health Value-Based Purchasing.

The Home Health Value-based Purchasing (HHVBP) demonstration, incorporating a payment formula designed to incentivize both high-quality care and quality improvement, is expected to become a national program after 2022, when the demonstration ends. This study investigated the relationship between costs and several quality dimensions, to inform HHVBP policy. Using Medicare cost reports, OASIS and Home Health Compare data for 7,673 home health agencies nationally, we estimated cost functions with instrumental variables for quality. The estimated net marginal costs varied by composite quality measure, baseline quality, and agency size. For four of the five composite quality measures, the net marginal cost was negative for low-quality agencies, suggesting that quality improvement was cost saving for this agency type. As the magnitude of the net marginal cost is commensurate with the payment incentive planned for HHVBP, it should be considered when designing the incentives for HHVBP, to maximize their effectiveness.

The costs outweigh the benefits: seeing side-effects online may decrease adherence to statins.

BACKGROUND: The prevalence of medical misinformation on the Internet has received much attention among researchers concerned that exposure to such information may inhibit patient adherence to prescriptions. Yet, little is known about information people see when they search for medical information and the extent to which exposure is directly related to their decisions to follow physician recommendations. These issues were examined using statin prescriptions as a case study. METHODS: We developed and used a tool to rank the quality of statin-related web pages based on the presence of information about side effects, clinical benefits, management of side effects, and misinformation. We then conducted an experiment in which students were presented with a hypothetical scenario in which an older relative was prescribed a statin but was unsure whether to take the medication. Participants were asked to search the web for information about statins and make a recommendation to this relative. Their search activity was logged using a web-browser add-on. Websites each participant visited were scored for quality using our tool, quality scores were aggregated for each participant and were subsequently used to predict their recommendation. RESULTS: Exposure to statin-related benefits and management of side effects during the search was significantly associated with a higher probability of recommending that an older relative adhere to their physician's recommendation. Exposure to misinformation and side effects were not associated, nor were any other participant characteristics. Bigram analyses of the top reasons participants gave for their recommendation mirrored the statistical findings, except that among participants who did not recommend following the prescription order, myriad side effects were mentioned. CONCLUSIONS: Our findings suggest that units of information people see on health-related websites are not treated equally. Our methods offer new understanding at a granular level about the impact of Internet searches on health decisions regarding evidence-based recommended medications. Our findings may be useful to physicians considering ways to address non-adherence. Preventive care should include actively engaging patients in discussions about health information they may find on the web. The effectiveness of this strategy should be examined in future studies.

Obesity among Nursing Home Residents: Association with Potentially Avoidable Hospitalizations.

BACKGROUND/OBJECTIVES: Studies show that in nursing homes (NHs), the prevalence of moderate-to-severe obesity has doubled in the last decade and continues to increase. Obese residents are often complex and costly, and this increase in prevalence has come at a time when NHs struggle to decrease hospitalizations, particularly those that are potentially avoidable. This study examined the association between obesity and hospitalizations. DESIGN: We linked 2011-2014 national data using Medicare NH assessments, hospital claims, and the NH Compare. SETTING AND PARTICIPANTS: Individuals aged ≥65 years, newly admitted to NHs, who became long-term residents between July 1, 2011 and March 26, 2014. The analytical sample included 490,086 residents. METHODS: NH-originating hospitalization was the outcome; a categorical variable defined as no hospitalization, potentially avoidable hospitalization (PAH), and other hospitalization (non-PAH). The main independent variable was body mass index (BMI) defined as normal weight (30 >BMI ≥18.5 kg/m2), mildly obese (35 >BMI ≥30 kg/m2), or moderately-to-severely obese (BMI ≥35 kg/m2). Covariates included individual and NH characteristics. Multinomial models with NH random effects and state dummies were estimated. RESULTS: After adjusting for individual level covariates, the risk of non-PAH for the mildly and moderate/severely obese was not different from normal weight residents. But the risk of PAH remained significantly higher for the moderate/severely obese (relative risk ratio = 1.055; 95% confidence interval 1.018, 1.094). Several NH-level factors also influenced hospitalization risk. CONCLUSIONS AND IMPLICATIONS: Obese residents are more likely to experience PAH but not non-PAH. Efforts to improve care for these residents may need to broadly consider the ability of NHs to commit additional resources to fully integrate care for this growing segment of the population.

Going the Extra Mile? How Provider Network Design Increases Consumer Travel Distance, Particularly for Rural Consumers.

CONTEXT: The practical accessibility to medical care facilitated by health insurance plans depends not just on the number of providers within their networks but also on distances consumers must travel to reach the providers. Long travel distances inconvenience almost all consumers and may substantially reduce choice and access to providers for some. METHODS: The authors assess mean and median travel distances to cardiac surgeons and pediatricians for participants in (1) plans offered through Covered California, (2) comparable commercial plans, and (3) unrestricted open-network plans. The authors repeat the analysis for higher-quality providers. FINDINGS: The authors find that in all areas, but especially in rural areas, Covered California plan subscribers must travel longer than subscribers in the comparable commercial plan; subscribers to either plan must travel substantially longer than consumers in open networks. Analysis of access to higher-quality providers show somewhat larger travel distances. Differences between ACA and commercial plans are generally substantively small. CONCLUSIONS: While network design adds travel distance for all consumers, this may be particularly challenging for transportation-disadvantaged populations. As distance is relevant to both health outcomes and the cost of obtaining care, this analysis provides the basis for more appropriate measures of network adequacy than those currently in use.

Certificate of need and the cost of competition in home healthcare markets.

We used 2010-16 Medicare Cost Reports for 10,737 freestanding home health agencies (HHAs) to examine the impact of home health (HH) and nursing home (NH) certificate-of-need (CON) laws on HHA caseload, total and per-patient variable costs. After adjusting for other HHA characteristics, total costs were higher in states with only HH CON laws ($2,975,698), only NH CON laws ($1,768,097), and both types of laws ($3,511,277), compared with no CON laws ($1,538,536). Higher costs were driven by caseloads, as CON reduced per-patient costs. Additional research is needed to distinguish whether this is due to skimping on quality vs. economies of scale.

A Consumer-Centric Approach To Network Adequacy: Access To Four Specialties In California's Marketplace.

We assessed the effect of provider networks on access to four medical specialties for Affordable Care Act Marketplace enrollees in California. Our approach incorporated a crucial consumer-focused attribute, travel distance, and identified the restrictions on provider access resulting from network design. Our analysis indicated that Marketplace plan networks are narrower than their commercial plan counterparts and feature just over half as many providers. However, there is much diversity in network breadth, depending on consumers' choice of plans and geographic region. Furthermore, network designs often create important access issues for consumers because of what we call "artificial local provider deserts"-geographic areas within networks devoid of providers by design. Consumers in large metropolitan areas are generally guaranteed a significant degree of access and choice, but network design exacerbates limited access for rural areas in which few providers are available to any consumer.

A Knotty Problem: Consumer Access and the Regulation of Provider Networks.

In order to increase access to medical services, expanding coverage has long been the preferred solution of policy makers and advocates alike. The calculus appeared straightforward: provide individuals with insurance, and they will be able to see a provider when needed. However, this line of thinking overlooks a crucial intermediary step: provider networks. As provider networks offered by health insurers link available medical services to insurance coverage, their breadth mediates access to health care. Yet the regulation of provider networks is technically, logistically, and normatively complex. What does network regulation currently look like and what should it look like in the future? We take inventory of the ways private and public entities regulate provider networks. Variation across insurance programs and products is truly remarkable, not grounded in empirical justification, and at times inherently absurd. We argue that regulators should be pragmatic and focus on plausible policy levers. These include assuring network accuracy, transparency for consumers, and consumer protections from grievous inadequacies. Ultimately, government regulation provides an important foundation for ensuring minimum levels of access and providing consumers with meaningful information. Yet, information is only truly empowering if consumers can exercise at least some choice in balancing costs, access, and quality.

Have Hospice Costs Increased After Implementation of the Hospice Quality-Reporting Program?

CONTEXT: The Centers for Medicare & Medicaid Services Hospice Quality-Reporting Program introduced the requirement that hospices nationwide begin collecting and submitting standardized patient-level quality data on July 1, 2014. OBJECTIVES: This study examined whether this requirement has increased hospice total costs, general costs, and visiting services costs. METHODS: We conducted a cross-sectional study using data from the 2012 and 2014 Medicare hospice cost reports linked to hospice claims. We measured total costs per patient day (PPD), general costs PPD, and visiting services costs PPD for freestanding hospices. We estimated the incremental costs of operating in 2014 vs. 2012 using hierarchical random effects models and adjusting for year, wage index, care volume, case-mix, and hospice and market characteristics, stratified by hospice ownership type. RESULTS: Both for-profit and nonprofit hospices reported higher total costs PPD and general services costs PPD in 2014 than 2012. Nonprofit hospices also reported higher general costs PPD in 2014 than 2012. In adjusted models, the total costs PPD in 2014 were $10.55 higher than in 2012 for nonprofit hospices and $6.43 higher for for-profit hospices. The increase in general costs PPD and visiting services costs PPD ranged from $3.15 to $5.87 by ownership and type of costs. Both for-profit and nonprofit hospices showed lower costs PPD for all types associated with more patients and longer length of stay. CONCLUSION: Hospice costs increased after the Centers for Medicare & Medicaid Services Hospice Quality-Reporting Program quality data collection/submission requirement. Complementary studies need to understand whether increased costs brought additional benefits.

Patients' preferences over care settings for minor illnesses and injuries.

OBJECTIVES: To identify consumers' preferences over care settings, such as physicians' offices, emergency rooms (ERs), urgent care centers, retail clinics, and virtual physicians on smartphones, for minor illnesses. DATA SOURCES: A survey conducted between 9/27/16 and 12/7/16 emailed to all University of California, Irvine employees. STUDY DESIGN: Participants were presented with 10 clinical scenarios and asked to choose the setting in which they wanted to receive care. We estimated multinomial conditional logit regression models, conditioning the choice on out-of-pocket costs, wait time, travel time, and chooser characteristics. DATA COLLECTION: 5451 out of 21 037 employees responded. PRINCIPAL FINDINGS: Out-of-pocket costs and wait time had minimal impact on patient's preference for site of care. Choices were driven primarily by the clinical scenario and patient characteristics. For chronic conditions and children's well-visits, the doctor's office was the preferred choice by a strong majority, but for most acute conditions, either the ER (for high severity) or urgent care clinics (for lower severity) were preferred to the office setting, particularly among younger patients and those with less education. CONCLUSIONS: Patients have several alternatives to traditional physicians' offices and ERs. The low impact of out-of-pocket costs suggests that insurers interested in encouraging increased utilization of alternatives would need to consider substantial changes to benefit structure.

Using contingent valuation to develop consumer-based weights for health quality report cards.

OBJECTIVE: The current 5-Star composite measure for nursing homes uses expert-driven weights to combine elements of quality into a single score. We assessed the feasibility of using the contingent valuation method (CVM) to derive consumers' preference-based weights for the Nursing Home Compare report card as a potential alternative approach. DATA SOURCES: Survey of 4310 adults with nursing home experience (residents or family members of a resident) administered between September 25 and October 9, 2017. STUDY DESIGN: Contingent valuation method based on respondents' answers to questions about willingness-to-trade (WTT) visit travel time for better quality in seven quantitative indices included in Nursing Home Compare. We calculated WTT amounts per standard deviation change in quantitative indices to derive weights. DATA COLLECTION METHODS: Web-based survey. PRINCIPAL FINDINGS: Contingent valuation method results are consistent with respondents making economically rational trade-offs between quality and travel time. Estimates of mean WTT vary across quantitative quality indices. They also vary in terms of respondent status and behavioral factors. Weights based on mean WTT per standard deviation vary substantially across indices, with the largest weights for inspections and staffing. CONCLUSIONS: Contingent valuation method has promise as a method for deriving weights for use in summary measures that incorporate consumer preferences.

Hospital Readmissions Among Post-acute Nursing Home Residents: Does Obesity Matter?

OBJECTIVES: To explore profiles of obese residents who receive post-acute care in nursing homes (NHs) and to assess the relationship between obesity and hospital readmissions and how it is modified by individual comorbidities, age, and type of index hospitalizations. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Medicare fee-for-service beneficiaries who were newly admitted to free-standing US NHs after an acute inpatient episode between 2011 and 2014 (N = 2,323,019). MEASURES: The Minimum Data Set 3.0 were linked with Medicare data. The outcome variable was 30-day hospital readmission from an NH. Residents were categorized into 3 groups based on their body mass index (BMI): nonobese, mildly obese, moderate-to-severely obese. We tested the relationship between obesity and 30-day readmissions by fixed-effects logit models and stratified analyses by the type of index hospitalization and residents' age. RESULTS: Forty percent of the identified residents were admitted after a surgical episode, and the rest were admitted after a medical episode. The overall relationship between obesity and readmissions suggested that obesity was associated with higher risks of readmission among the oldest old (≥85 years) residents but with lower risks of readmission among the youngest group (65-74 years). After accounting for individual co-covariates, the association between obesity and readmissions among the oldest old residents became weaker; the adjusted odds ratio was 1.061 (P = .049) and 1.004 (P = .829) for moderate-to-severely obese patients with surgical and medical index hospitalizations, respectively. The protective effect of obesity among younger residents reduced after adjusting for covariates. CONCLUSIONS/RELEVANCE: The relationship between obesity and hospital readmission among post-acute residents could be affected by comorbidities, age, and the type of index hospitalization. Further studies are also warranted to understand how to effectively measure NH quality outcomes, including hospital readmissions, so that policies targeting at quality improvement can successfully achieve their goals without unintended consequences.

Quality of Post-Acute Care in Skilled Nursing Facilities That Disproportionately Serve Black and Hispanic Patients.

BACKGROUND: Understanding and addressing racial and ethnic disparities in the quality of post-acute care in skilled nursing facilities is an important health policy issue, particularly as the Medicare program initiates value-based payments for these institutions. METHODS: Our final cohort included 649,187 Medicare beneficiaries in either the fee-for-service or Medicare Advantage programs, who were 65 and older and were admitted to a skilled nursing facility following an acute hospital stay, from 8,375 skilled nursing facilities. We examined the quality of care in skilled nursing facilities that disproportionately serve minority patients compared to non-Hispanic whites. Three measures, all calculated at the level of the facility, were used to assess quality of care in skilled nursing facilities: (a) 30-day rehospitalization rate; (b) successful discharge from the facility to the community; and (c) Medicare five-star quality ratings. RESULTS: We found that African American post-acute patients are highly concentrated in a small number of institutions, with 28% of facilities accounting for 80% of all post-acute admissions for African American patients. Similarly, just 20% of facilities accounted for 80% of all admissions for Hispanics. Skilled nursing facilities with higher fractions of African American patients had worse performance for three publicly reported quality measures: rehospitalization, successful discharge to the community, and the star rating indicator. CONCLUSIONS: Efforts to address disparities should focus attention on institutions that disproportionately serve minority patients and monitor unintended consequences of value-based payments to skilled nursing facilities.

Examination of the New Short-Stay Nursing Home Quality Measures: Rehospitalizations, Emergency Department Visits, and Successful Returns to the Community.

In 2016, the Centers for Medicare & Medicaid Services (CMS) introduced 3 new quality measures (QMs) to its report card, Nursing Home Compare (NHC). These measures-rehospitalizations, emergency department visits, and successful discharges to the community-focus on short-stay residents. We offer a first analysis of nursing homes' performance in terms of these new measures. We examined their properties and distribution across nursing homes using descriptive statistics and regression models. We found that, similar to other QMs, performance varies across the country, and that there is very minimal correlation between these 3 new QMs as well as between these QMs and other NHC QMs. Regression models reveal that better performance on these QMs tends to be associated with fewer deficiencies, higher staffing and more skilled staffing, nonprofit ownership, and lower proportion of Medicaid residents. Other characteristics are associated with better performance for some but not all 3 QMs. We also found improvement in all 3 QMs in the second year of publication. This study contributes to the validity of these measures by demonstrating their relationship to these structural QMs. It also suggests that these QMs are important by demonstrating their large variation across the country, suggesting substantial room for improvement, and finding that nursing homes are already responding to the incentives created by publication of these QMs.