High Medicaid Nursing Homes: Contextual Factors Associated with the Availability of Specialized Resources Required to Care for Obese Residents.

Obesity is an increasingly important concern in the delivery of high-quality nursing home care. Obese nursing home residents require specialized equipment and resources. As high Medicaid nursing homes have limited financial ability, they may lack the necessary resources to address the needs of obese residents. Moreover, there are variations in the availability of obesity-related specialized resources across these facilities. This study aims to investigate the organizational and market factors associated with the availability of obesity-related specialized resources in high-Medicaid nursing homes. Survey and secondary data sources for the study period 2017-2018 were utilized. The survey data were merged with Brown University's Long Term Care Focus (LTCFocus), Nursing Home Compare, and Area Health Resource File datasets. The dependent variable was the composite score of obesity-related specialized resources, ranging from 0-19. An ordinary least square regression with propensity score weights (to adjust for potential survey non-response bias), along with appropriate organizational/market level control variables were used for our analysis. Our results suggest that payer-mix (>Medicare residents) and a higher proportion of obese residents were positively associated with the availability of obesity-related specialized resources. Policymakers should consider implementing incentives, such as increased Medicaid payments, to assist high Medicaid nursing homes in addressing the specific needs of obese residents.

Characteristics of nursing homes with high percentages of falls and falls with injuries among residents with obesity.

BACKGROUND: Obesity among United States nursing home (NH) residents is increasing. These residents have special care needs, which increases their risk for falls and falls with injuries. NH are responsible for ensuring the health of their residents, including minimizing falls. However, given the special care needs of residents with obesity, different factors may be important for developing programs to minimize falls among this group. AIM: We aimed to identify NH characteristics associated with falls and falls with injuries among residents with obesity. METHOD: We used resident assessment data and logistic regression analysis. RESULTS: We found that rates of falls and falls with injuries among residents with obesity varied significantly based on for-profit status, size, acuity index, obesity rate among residents, and registered nurse hours per patient day. CONCLUSION: Recommendations are made as to how NH may be able to lower risk for falls and falls with injuries among their residents with obesity.

Characteristics of Nursing Homes with High Rates of Urinary Tract Infections among Their Residents with Obesity.

Nursing home residents with obesity are at high risk for contracting urinary tract infections. In this research study, we found nursing homes in multi-facility chain organizations, for-profit status, nursing home size, obesity rate of resident population, and market competition were significantly associated with rates of urinary tract infections among residents with obesity.

Examining the relationship between self-reported lifetime cancer diagnosis and nativity: findings from the National Health and Nutrition Examination Survey (NHANES) 2011-2018.

PURPOSE: Cancer incidence in the USA remains higher among certain groups, regions, and communities, and there are variations based on nativity. Research has primarily focused on specific groups and types of cancer. This study expands on previous studies to explore the relationship between country of birth (nativity) and all cancer site incidences among USA and foreign-born residents using a nationally representative sample. METHODS: This is a cross-sectional study of (unweighted n = 22,554; weighted n = 231,175,933) participants between the ages of 20 and 80 from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. Using weighted logistic regressions, we analyzed the impact of nativity on self-reported cancer diagnosis controlling for routine care, smoking status, overweight, race/ethnicity, age, and gender. We ran a partial model, adjusting only for age as a covariate, a full model with all other covariates, and stratified by race/ethnicity. RESULTS: In the partial and full models, our findings indicate that US-born individuals were more likely to report a cancer diagnosis compared to their foreign-born counterparts (OR 2.34, 95% CI [1.93; 2.84], p < 0.01) and (OR 1. 39, 95% CI [1.05; 1.84], p < 0.05), respectively. This significance persisted only among non-Hispanic Blacks when stratified by race. Non-Hispanic Blacks who were US-born were more likely to report a cancer diagnosis compared to their foreign-born counterparts (OR 2.30, 95% [CI 1.31; 4.02], p < 0.05). CONCLUSION: A variety of factors may reflect lower self-reported cancer diagnosis in foreign-born individuals in the USA other than a healthy immigrant advantage. Future studies should consider the factors behind the differences in cancer diagnoses based on nativity status, particularly among non-Hispanic Blacks.

Patient Experience for Hispanic Older Adults Varies by Language Preference.

BACKGROUND: Hispanic people with Medicare report worse patient experiences than non-Hispanic White counterparts. However, little research examines how these disparities may vary by language preference (English/Spanish). OBJECTIVES: Using Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey data, assess whether 2014-2018 disparities in patient experiences for Hispanic people with Medicare vary by language preference. RESEARCH DESIGN: We fit a series of linear, case-mix adjusted models predicting Medicare CAHPS measures by race/ethnicity/language preference (Hispanic Spanish-respondents; Hispanic Spanish-preferring English-respondents; Hispanic English-preferring respondents; and non-Hispanic White English-respondents). SUBJECTS: A total of 1,006,543 Hispanic and non-Hispanic White respondents to the Medicare 2014-2018 CAHPS surveys. RESULTS: There were disparities for all Hispanic groups relative to non-Hispanic White English-respondents. Hispanic Spanish-preferring English-respondents reported worse experience than Hispanic Spanish-respondents for getting care quickly (-8 points), getting needed care (-5 points), doctor communication (-2 points), and customer service (-1 point), but better experiences for flu immunization (+2 points). Similarly, Hispanic Spanish-preferring English-respondents reported worse experience than Hispanic English-preferring respondents for getting care quickly (-4 points) and getting needed care (-2 points). Hispanic English-preferring respondents reported worse experience than Hispanic Spanish-respondents for getting care quickly (-4 points), getting needed care (-3 points), doctor communication and customer service (-2 points each), but better experience for flu immunization (+2 points). CONCLUSIONS: Regardless of language preference, Hispanic people with Medicare experience disparities in patient care relative to non-Hispanic White English-preferring counterparts. Hispanic Spanish-preferring English-respondents report the worse experiences, followed by Hispanic English-preferring respondents. Hispanic Spanish-respondents experienced the least disparities of the three Hispanic language subgroups.

Disparities in Care Experienced by Older Hispanic Medicare Beneficiaries in Urban and Rural Areas.

BACKGROUND: Hispanic older adults face substantial health disparities compared with non-Hispanic-White (hereafter "White") older adults. To the extent that these disparities stem from cultural and language barriers faced by Hispanic people, they may be compounded by residence in rural areas. OBJECTIVE: The objective of this study was to investigate possible interactions between Hispanic ethnicity and rural residence in predicting the health care experiences of older adults in the United States, and whether disparities in care for rural Hispanic older adults differ in Medicare Advantage versus Medicare Fee-for-Service. SUBJECTS: Medicare beneficiaries age 65 years and older who responded to the 2017-2018 nationally representative Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. METHODS: We fit a series of linear, case-mix-adjusted models predicting Medicare CAHPS measures of patient experience (rescaled to a 0-100 scale) from ethnicity, place of residence, and Medicare coverage type. RESULTS: In all residential areas, Hispanic beneficiaries reported worse experiences with getting needed care (-3 points), getting care quickly (-4 points), and care coordination (-1 point) than White beneficiaries (all P's<0.001). In rural areas only, Hispanic beneficiaries reported significantly worse experiences than White beneficiaries on doctor communication and customer services (-3 and -9 points, respectively, P<0.05). Tests of a 3-way interaction between ethnicity, rural residence, and coverage type were nonsignificant. CONCLUSIONS: There is a need to improve access to care and care coordination for Hispanic beneficiaries overall and doctor-patient communication and customer service for rural Hispanic beneficiaries. Strategies for addressing deficits faced by rural Hispanics may involve cultural competency training and provision of language-appropriate services for beneficiaries (perhaps as telehealth services).

Hospital Cultural Competency Leadership and Training is Associated with Better Financial Performance.

GOAL: An organization's cultural competency reflects its ongoing capacity to provide high-quality, equitable, safe, and patient-centered care. Cultural competency leadership and training (CCLT) influences organizational cultural competency, which could affect organizational performance. Policies regarding health disparities point to the need for hospitals to become culturally competent. This study aimed to explore if CCLT practices are associated with better financial performance. METHODS: Using secondary data from three sources-the American Hospital Association Annual Survey, the Health Care Cost Information System, and the Area Health Resource File-a longitudinal panel study design reviewed 3,594 hospital-year observations for acute care hospitals across the United States from 2011 to 2012. CCLT, the independent variable, was measured as a summated scale of strategy, execution, implementation, and training in diversity practices. For financial performance, the operating and total margins of hospitals were measured as dependent variables. Two random-effects regression models with year- and state-fixed effects were used to examine the relationship, with hospital being the unit of analysis. PRINCIPAL FINDINGS: The descriptive statistics showed that hospitals had an average CCLT score of approximately 2 (the range was 0-4). Regression analysis indicated that an increase in the CCLT score was associated with a 0.3% and 0.4% increase in total and operating margins, respectively (p < .05). Also, with each 10 additional staffed beds, hospitals on average experienced a 0.1% increase in both total and operating margins. Overall, for-profit hospitals experienced a 2.4% higher total margin and a 4.9% higher operating margin, as compared to not-for-profit hospitals. On the contrary, government hospitals showed 1% and 5.8% lower total and operating margins, respectively. APPLICATIONS TO PRACTICE: Results of our study support a business case for CCLT practices. Cultural competency makes good economic sense by helping to improve cost savings, increase market share, and enhance the efficiency of care. Therefore, healthcare leaders should consider investing in CCLT. With the growing emphasis on value-based purchasing related to patient outcomes and experience, hospitals that develop a high degree of cultural competency through CCLT can benefit from the changes in reimbursement. CCLT also affects financial performance through avoidance of costs related to employee absenteeism and turnover and improves team cohesiveness by reducing cultural conflicts. Other mechanisms by which CCLT assists in saving costs and affecting financial performance include avoidance of unnecessary readmissions and expensive hospitalizations through the proper screening of patients from diverse backgrounds. CCLT improves cultural competency and diversity management, thus creating a unique competitive advantage for hospitals.

Antecedents of geographical expansion: The case of federally qualified health centers.

BACKGROUND: Federally qualified health centers (FQHCs) are pivotal safety net primary care providers for the medically underserved. FQHCs have complex organizational designs, with many FQHCs providing care at multiple physical locations ("sites"). The number of sites, however, varies considerably between FQHCs, which can have important implications for differential access that may perpetuate disparities in quality of care. PURPOSE: The objective of this study is to explore the organizational and environmental antecedents of the number of sites operated by each FQHC. The findings of this study contribute to a better understanding of FQHCs' expansion that has vital implications for cost and access outcomes. METHODOLOGY/APPROACH: The study is based on data between the years 2012 and 2018. Using multivariate growth curve modeling, we analyzed the final sample, consisting of 5,482 FQHC-years. RESULTS: The level of competition, measured as the number of FQHC sites in the Primary Care Service Area (PCSA) and the number of primary care physicians per 1,000 PCSA residents, was positively associated with the number of FQHC sites. The number of patients, the level of federal grant, and the year were also positively associated with the number of FQHC sites, whereas percentage of Medicaid patients; workforce supply, measured as primary care physician assistants per 1,000 PCSA residents; Medicaid expansion; and state/local funding available for FQHCs were not. CONCLUSION: Findings of this study indicate that competition, especially between peer FQHCs, is significantly associated with FQHC expansion. PRACTICE IMPLICATIONS: This result suggests that FQHC managers and policymakers may closely monitor cost, access, and quality implications of competition and FQHC expansion.

The organizational and environmental characteristics associated with hospitals' use of intensivists.

BACKGROUND: As large numbers of coronavirus disease 2019 (COVID-19) patients were admitted to intensive care units (ICUs) in 2020 and 2021, the United States faced a shortage of critical care providers. Intensivists are physicians specializing in providing care in the ICU. Although studies have explored the clinical and financial benefits associated with the use of intensivists, little is known about the organizational and market factors associated with a hospital administrator's strategic decision to use intensivists. PURPOSE: The aim of this study was to use the resource dependence theory to better understand the organizational and market factors associated with a hospital administrator's decision to use intensivists. METHODOLOGY: The sample consisted of the national acute care hospitals (N = 4,986) for the period 2007-2017. The dependent variable was the number of full-time equivalent intensivists staffed in hospitals. The independent variables were organizational and market-level factors. A negative binomial regression model with state and year fixed effects, clustered at the hospital level, was used to examine the relationship between the use of intensivists and organizational and market factors. RESULTS: The results from the analyses show that administrators of larger, not-for-profit hospitals that operate in competitive urban markets with relatively high levels of munificence are more likely to utilize intensivists. PRACTICE IMPLICATIONS: When significant strains are placed on ICUs like what was experienced during the COVID-19 pandemic, it is imperative that hospital administrators understand how to best staff their ICUs. With a better understanding of the organizational and market factors associated with the use of intensivists, practitioners and policymakers alike can better understand how to strategically utilize intensivists in the ICU, especially in the face of a continuing pandemic.

Nursing home directors of nursing experiences regarding safety among residents with obesity.

The prevalence of nursing home (NH) residents with obesity is rising. Perspectives of NH Directors of Nursing (DONs) who oversee care trajectories for residents with obesity is lacking. This study aimed to describe the experiences of NH DONs regarding care and safety for NH residents with obesity. An adapted version of Donabedian's structure-process-outcome model guided this qualitative descriptive study. Semi-structured interviews were conducted with 15 DONs. Data were analyzed using directed content analysis, and findings are presented under the model's constructs. We learned that admission decisions for NH referrals of patients with obesity are complex due to reimbursement issues, available space and resources, and resident characteristics. DONs described the need to coach and mentor Certified Nursing Assistants to provide safe quality care and that more staff education is needed. We identified novel findings regarding the challenges of short-term residents' experience transitioning out of care due to limited resources.

The impact of public hospitals' privatization on nurse staffing.

BACKGROUND: Privatization is one of the strategies that public hospitals may adopt to remain competitive. Privatized hospitals may implement nurse staffing cuts as a cost-saving mechanism and to increase financial performance. A better understanding of how privatization may affect nurse staffing is important given its association with patient and organizational outcomes. PURPOSE: The aim of this study was to examine the impact of not-for-profit (NFP) and for-profit (FP) privatizations of public hospitals on nurse staffing. METHODOLOGY/APPROACH: Based on secondary data sets from the American Hospital Association Annual Survey, the Centers for Medicare & Medicaid Services Impact Files, and the Area Health Resources File, this study used a nonexperimental longitudinal design consisting of negative binomial and linear regression models with hospital level and year fixed effects. Our sample consisted of nonfederal and noncritical access, acute care, public hospitals (n = 492) followed from 1997 to 2013 (8,335 hospital-year observations). Nurse staffing was measured as full-time equivalents (FTEs) and skill mix. Privatization was defined as conversion from public to either private NFP or private FP status. RESULTS: FP privatization was associated with greater decreases in registered nurse (RN) staffing FTEs (incidence rate ratio [IRR] = 0.93, p = .004) and total nurse staffing FTEs (IRR = 0.93, p = .001), compared with NFP privatization: RN staffing FTEs (IRR = 0.95, p = .003) and total nurse staffing FTEs (IRR = 0.96, p = .007). CONCLUSION: Overall, privatization was associated with decreased RN FTEs and total nurse staffing FTEs and no changes in licensed practical nurse FTEs and RN skill mix. PRACTICE IMPLICATIONS: A close monitoring of nurse staffing level, after privatization, is encouraged to prevent potential deterioration in quality of care.

Examination of nursing home financial distress via Porter's five competitive forces framework.

BACKGROUND: Nursing homes face increased risk of closure because of poor financial performance. PURPOSE: Using resource dependency theory, Porter's Five Forces of Competition framework, and Altman's Z -score model, this study examines the relationship between market factors and nursing home financial distress. METHODOLOGY/APPROACH: This study utilizes Medicare Cost Reports, LTCFocus, Certification and Survey Provider Enhanced Reporting, Online Survey Certification and Reporting, and the Area Health Resource File to examine an average of 10,454 nursing homes per year from 2000 to 2015. Using Porter's framework, market factors were conceptualized as the bargaining power of buyers and suppliers, threat of substitutes and new entrants, and industry rivalry. Organizational control variables include occupancy, payer mix, size, and chain affiliation. Data were analyzed using multinomial logistic regression with robust clustering, year, and state fixed effects. RESULTS: Distressed nursing homes (Relative Risk Ratios [RRR] = 0.991) were less likely to be in counties with higher Medicaid concentration. Distressed (RRR = 0.717) and at-risk-of-distress nursing homes (RRR = 0.807) were less likely to be in markets with home health agencies, and nursing homes at risk of distress (RRR = 1.005) were more likely to be in markets with a higher number of hospital-based skilled nursing facility beds compared to healthy organizations. The organizational-level variables, occupancy, payer mix, size, and chain affiliation had a significant impact on nursing home financial distress. CONCLUSIONS: The effects of external market forces on nursing home financial distress were limited; however, organizational-level variables had a significant impact on nursing home financial distress. PRACTICAL IMPLICATIONS: Study findings can inform policy makers on specific factors associated with nursing home financial distress and provide greater insight as it relates to designing new policies and interventions.

Hospital staffing patterns and safety culture perceptions: The mediating role of perceived teamwork and perceived handoffs.

BACKGROUND: As hospitals are under increasing pressure to improve quality and safety, safety culture has become a focal issue for high-risk organizations, including hospitals. Prior research has examined how structural characteristics directly impact safety culture. However, and based on Donabedian's structure-process-outcome quality model, there is a need to understand the processes that intermediate the relationship between structural characteristics and safety culture perceptions. PURPOSE: The processes by which registered nurse (RN) and hospitalist staffing may affect safety culture perceptions were examined in this study. Specifically, this study investigates the processes of perceived teamwork across units and perceived handoffs. METHODOLOGY: Data sources for this research included Hospital Survey on Patient Safety Culture from the Agency for Healthcare Research and Quality, the American Hospital Association's Annual Survey Data, the American Hospital Association Information Technology supplement, and the Area Health Resource File. Two separate mediation models for each process were used. Propensity weights were assigned to each hospital in the sample ( N = 207) to adjust for potential nonresponse bias of hospitals that did not assess employee's safety culture perceptions. RESULTS: Results suggest that RN staffing influences safety culture perceptions, but hospitalist staffing does not. In addition, RN staffing has an indirect effect on safety culture perceptions through better processes. PRACTICE IMPLICATIONS: Our study sheds light on how staffing affects safety culture perceptions. Specifically, our findings suggest that positive perceptions of teamwork across units and handoffs are integral in the relationship between RN staffing and safety culture perceptions. Hospital managers should, therefore, invest resources in staff recruitment and retention. In addition, a targeted focus on perceived teamwork and handoffs may allow hospital managers to improve safety culture perceptions.

Disparities in Care Experienced by American Indian and Alaska Native Medicare Beneficiaries.

BACKGROUND: Little is known about the health care experiences of American Indians and Alaska Natives (AIANs) due to limited data. OBJECTIVE: The objective of this study was to investigate the health care experiences of AIAN Medicare beneficiaries relative to non-Hispanic Whites using national survey data pooled over 5 years. SUBJECTS: A total of 1,193,248 beneficiaries who responded to the nationally representative 2012-2016 Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. METHODS: Linear regression models predicted CAHPS measures from race and ethnicity. Scores on the CAHPS measures were linearly transformed to a 0-100 range and case-mix adjusted. Three AIAN groups were compared with non-Hispanic Whites: single-race AIANs (n=2491; 0.4% of the total sample), multiple-race AIANs (n=15,502; 1.3%), and Hispanic AIANs (n=2264; 0.2%). RESULTS: Among AIAN groups, single-race AIANs were most likely to live in rural areas and areas served by the Indian Health Service; Hispanic AIANs were most likely to be Spanish-language-preferring (P's<0.05). Compared with non-Hispanic Whites, single-race AIANs reported worse experiences with getting needed care (adjusted disparity of -5 points; a "large" difference), getting care quickly (-4 points; a "medium" difference), doctor communication (-2 points; a "small" difference), care coordination (-2 points), and customer service (-7 points; P<0.001 for all comparisons). Disparities were similar for Hispanic AIANs but more limited for multiple-race AIANs. CONCLUSIONS: Quality improvement efforts are needed to reduce disparities faced by older AIANs. These findings may assist in developing targeted efforts to address cultural, communication, and health system factors presumed to underlie disparities in health care access and customer service.

Better Together? An Examination of the Relationship Between Acute Care Hospital Mergers and Patient Experience.

EXECUTIVE SUMMARY: The United States is experiencing another wave of hospital mergers. Whether patients benefit from these mergers, however, remains an open issue for many interested stakeholders. One measure of the potential benefit of hospital mergers is how they affect patient experience. This study used a quasi-experimental design to examine the relationship between hospital mergers and four different Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings (i.e., overall, physician communication, nurse communication, and staff responsiveness). The study findings showed an association between hospitals that experienced a merger and slower growth in HCAHPS scores for two of the four HCAHPS domains (overall and nurse communication) when compared to matching hospitals that did not merge. Findings from this study can guide and inform hospital administrators, health system boards, state and federal government regulators and policymakers, and others across the spectrum of healthcare stakeholders.

The Relationship Between "Leader in LGBT Healthcare Equality" Designation and Hospitals' Patient Experience Scores.

EXECUTIVE SUMMARY: An increasing number of lesbian, gay, bisexual, and transgender (LGBT) individuals openly acknowledge their identity; however, the fear of discrimination prevents many from seeking healthcare-an issue challenged by a lack of culturally competent LGBT healthcare providers. With more than 4% of American adults identifying as LGBT individuals, greater attention to their needs is imperative to improve care and access for this population. This study examined organizational and market factors associated with hospitals achieving the "Leader in LGBT Healthcare Equality" (Healthcare Equality Index, HEI; HEI Leader) designation and reported patient experience scores. We found that system-affiliated hospitals have 4.16 greater odds and teaching hospitals have 2.86 greater odds of earning the HEI Leader designation compared to nonsystem and nonteaching hospitals, respectively. Governmental hospitals have 2.47 greater odds of achieving HEI Leader status, while for-profit hospitals have 86% lower odds of having HEI Leader status compared to not-for-profit hospitals. Hospitals located in a metropolitan area have 3.19 greater odds of being an HEI Leader. The percentage of minorities and per capita income in a county also demonstrated a positive association with being an HEI Leader, with odds ratios of 1.00 and 1.02, respectively, while lower education was associated with 4% lower odds of being an HEI Leader. The main finding of this study was that HEI Leader-designated hospitals reported significantly higher overall hospital rating patient experience scores (B = 1.785; p ≤ .001) as compared to non-HEI Leader hospitals. As such, participation in the HEI may be viewed as a motivation for hospitals attaining HEI Leader designation.

Resource-based view on safety culture's influence on hospital performance: The moderating role of electronic health record implementation.

BACKGROUND: Patient safety and safety culture have received increasing attention from agencies such as the Agency of Healthcare Research and Quality and the Institute of Medicine. Safety culture refers to the fundamental values, attitudes, and perceptions that provide a unique source of competitive advantage to improve performance. This study contributes to the literature and expands understanding of safety culture and hospital performance outcomes when considering electronic health record (EHR) usage. PURPOSE: Based on the resource-based view of the firm, this study examined the association between safety culture and hospital quality and financial performance in the presence of EHR. METHODOLOGY/APPROACH: Data consist of the 2016 Hospital Survey on Patient Safety, Hospital Compare, American Hospital Association's annual survey, and the American Hospital Association's Information Technology supplement. Our final analytic sample consisted of 154 hospitals. We used a two-part nested regression model approach. RESULTS/CONCLUSION: Safety culture has a direct positive relationship with financial performance (operating margin). Furthermore, having basic EHR as compared to not having EHR further enhances this positive relationship. On the other hand, safety culture does not have a direct association with quality performance (readmissions) in most cases. However, safety culture coupled with basic EHR functionalities, compared to not having EHR, is associated with lower readmissions. PRACTICE IMPLICATIONS: Hospitals should strive to improve patient safety culture as part of their strategic plan for quality improvement. In addition, hospital managers should consider implementing EHR as a resource that can support safety culture's effect on outcomes such as financial and quality performance indicators. Future studies can examine the differences between basic and advanced EHR presence in relation to safety culture.

A Comparison of Methods for Classifying and Modeling Respondents Who Endorse Multiple Racial/Ethnic Categories: A Health Care Experience Application.

BACKGROUND: Race/ethnicity information is vital for measuring disparities across groups, and self-report is the gold standard. Many surveys assign simplified race/ethnicity based on responses to separate questions about Hispanic ethnicity and race and instruct respondents to "check all that apply." When multiple races are endorsed, standard classification methods either create a single heterogenous multiracial group, or attempt to impute the single choice that would have been selected had only one choice been allowed. OBJECTIVES: To compare 3 options for classifying race/ethnicity: (a) hierarchical, classifying Hispanics as such regardless of racial identification, and grouping together all non-Hispanic multiracial individuals; (b) a newly proposed additive model, retaining all original endorsements plus a multiracial indicator; (c) an all-combinations approach, separately categorizing every observed combination of endorsements. RESEARCH DESIGN: Cross-sectional comparison of racial/ethnic distributions of patient experience scores; using weighted linear regression, we model patient experience by race/ethnicity using 3 classification systems. SUBJECTS: In total, 259,763 Medicare beneficiaries age 65+ who responded to the 2017 Medicare Consumer Assessments of Healthcare Providers and Systems Survey and reported race/ethnicity. MEASURES: Self-reported race/ethnicity, 4 patient experience measures. RESULTS: Additive and hierarchical models produce similar classifications for non-Hispanic single-race respondents, but differ for Hispanic and multiracial respondents. Relative to the gold standard of the all-combinations model, the additive model better captures ratings of health care experiences and response tendencies that differ by race/ethnicity than does the hierarchical model. Differences between models are smaller with more specific measures. CONCLUSIONS: Additive models of race/ethnicity may afford more useful measures of disparities in health care and other domains. Our results have particular relevance for populations with a higher prevalence of multiracial identification.

Indirect Estimation of Race/Ethnicity for Survey Respondents Who Do Not Report Race/Ethnicity.

BACKGROUND: Researchers are increasingly interested in measuring race/ethnicity, but some survey respondents skip race/ethnicity items. OBJECTIVES: The main objectives of this study were to investigate the extent to which racial/ethnic groups differ in skipping race/ethnicity survey items, the degree to which this reflects reluctance to disclose race/ethnicity, and the utility of imputing missing race/ethnicity. RESEARCH DESIGN: We applied a previously developed method for imputing race/ethnicity from administrative data (Medicare Bayesian Improved Surname and Geocoding 2.0) to data from a national survey where race/ethnicity was usually self-reported, but was sometimes missing. A linear mixed-effects regression model predicted the probability of self-reporting race/ethnicity from imputed racial/ethnic probabilities. SUBJECTS: In total, 508,497 Medicare beneficiaries responding to the 2013-2014 Medicare Consumer Assessment of Healthcare Providers and Systems surveys were included in this study. MEASURES: Self-reported race/ethnicity and estimated racial/ethnic probabilities. RESULTS: Black beneficiaries were most likely to not self-report their race/ethnicity (6.6%), followed by Hispanic (4.7%) and Asian/Pacific Islander (4.7%) beneficiaries. Non-Hispanic whites were the least likely to skip these items (3.2%). The 3.7% overall rate of missingness is similar to adjacent demographic items. General patterns of item missingness rather than a specific reluctance to disclose race/ethnicity appears to explain the elevated rate of missing race/ethnicity among Asian/Pacific Islander and Hispanic beneficiaries and most but not all among Black beneficiaries. Adding imputed cases to the data set did not substantially alter the estimated overall racial/ethnic distribution, but it did modestly increase sample size and statistical power. CONCLUSIONS: It may be worthwhile to impute race/ethnicity when this information is unavailable in survey data sets due to item nonresponse, especially when missingness is high.

Hospitals' use of hospitalists: Implications for financial performance.

BACKGROUND: Hospitalists, or physicians specializing in hospital-based practice, have grown significantly since they were first introduced in the United States in the mid-1990s. Prior studies on the impact of hospitalists have focused on costs and length of stay. However, there is dearth of research exploring the relationship between hospitals' use of hospitalists and organizational performance. PURPOSE: Using a national longitudinal sample of acute care hospitals operating in the United States between 2007 and 2014, this study explores the impact of hospitalists staffing intensity on hospitals' financial performance. METHODOLOGY: Data sources for this study included the American Hospital Association Annual Survey, the Area Health Resources File, and the Centers for Medicare & Medicaid Services' costs reports and Case Mix Index files. Data were analyzed using a panel design with facility and year fixed effects regression. RESULTS: Results showed that hospitals that switched from not using hospitalists to using a high hospitalist staffing intensity had both increased patient revenues and higher operating costs per adjusted patient day. However, the higher operating costs from high hospitalist staffing intensity were offset by increased patient revenues, resulting in a marginally significant increase in operating profitability (p < .1). PRACTICE IMPLICATIONS: These findings suggest that the rise in the use of hospitalists may be fueled by financial incentives such as increased revenues and profitability in addition to other drivers of adoption.