The Benefits of Culture Change in Nursing Homes-Obtaining Nationally Representative Evidence.

OBJECTIVE: Despite face validity and regulatory support, empirical evidence of the benefit of culture change practices in nursing homes (NHs) has been inconclusive. We used rigorous methods and large resident-level cohorts to determine whether NH increases in culture change practice adoption in the domains of environment, staff empowerment, and resident-centered care are associated with improved resident-level quality outcomes. DESIGN: We linked national panel 2009-2011 and 2016-2017 survey data to Minimum Data Set assessment data to test the impact of increases in each of the culture change domains on resident quality outcomes. SETTING AND PARTICIPANTS: The sample included 1584 nationally representative US NHs that responded to both surveys, and more than 188,000 long-stay residents cared for in the pre- and/or postsurvey periods. METHODS: We used multivariable logistic regression with robust standard errors and a difference-in-differences methodology. Controlling for the endogeneity between increases in culture change adoption and NH characteristics that are also related to quality outcomes, we tested whether pre-post quality outcome differences (ie, improvements in outcomes) were greater for residents in NHs with culture change increases vs in those without such increases. RESULTS: NH performance on most quality indicators improved, but improvement was not significantly different by whether NHs increased or did not increase their culture change domain practices. CONCLUSIONS AND IMPLICATIONS: This study found that increases in an NH's culture change domain practices were not significantly associated with improved resident-level quality. It describes a number of potential limitations that may have contributed to the null findings.

Consumer selection and home health agency quality and patient experience stars.

OBJECTIVE: To compare the impact of the introduction of two distinct sets of star ratings, quality of care, and patient experience, on home health agency (HHA) selection. DATA SOURCES: We utilized 2014-2016 home health Outcome and Assessment Information Set (OASIS) assessments, as well as publicly reported data from the Home Health Compare website. DATA COLLECTION/EXTRACTION METHODS: We identified a 5% random sample of admissions (186,498 admissions) for new Medicare Fee-for-Service home health users. STUDY DESIGN: This admission-level assessment compared HHA selection before (July 2014-June 2015) and after (February-December 2016) star ratings were published. We utilized a conditional logit, discrete choice model, which accounted for all HHAs that each patient could have selected (i.e., the choice set) based on ZIP codes. Our explanatory variables of interest were the interactions between star ratings and time period (pre/post stars). We stratified our analyses by race, admission source, and Medicaid eligibility. We adjusted for HHA characteristics and distance between patients' homes and HHAs. PRINCIPAL FINDINGS: The introduction of star ratings was associated with a 0.88-percentage-point increase in the probability of selecting a high-quality HHA and a 0.81-percentage-point increase in the probability of selecting a highly ranked patient experience HHA. Patients admitted from the community, and black and Medicare-Medicaid dual-eligible beneficiaries experienced larger increases in their likelihood of selecting high-rated agencies than inpatient, white, and nondual beneficiaries. CONCLUSIONS: The introduction of quality of care and patient experience stars were associated with changes in HHA selection; however, the strength of these relationships was weaker than observed in other health care settings where a single star rating was reported. The introduction of star ratings may mitigate disparities in HHA selection. Our findings highlight the importance of reporting information about quality and satisfaction separately and conducting research to understand the mechanisms driving HHA selection.

Are Patient Experience and Outcomes for Home Health Agencies Related?

To facilitate home health agency (HHA) selection, CMS released patient experience star ratings on the Home Health Compare website in January 2016. Our objective was to understand the relationship between patient experience and outcomes in HHAs. We utilized publicly reported data to evaluate the relationships among patient experience star ratings, summary quality of care star ratings (comprised primarily of outcome measures), and individual outcome measures for 4,249 HHAs. Results indicate a weak correlation between patient experience and quality stars (r = .13, p < .001). The difference between the lowest and highest rated HHAs for patient experience is associated with only a half-star improvement in quality stars. The associations between patient experience and individual outcome measures varied, with functional outcomes most strongly associated with patient experience. Findings highlight the importance of reporting separate quality domains; however, conflicting ratings may complicate the HHA selection process and introduce misaligned incentives for HHAs.

Early Effects of Home Health Value-Based Purchasing on Quality Star Ratings.

The Home Health Value-Based Purchasing Model (HHVBP) is a new Medicare model wherein home health agencies compete to achieve higher reimbursements by demonstrating improved value according to clinical and patient experience-related quality measures. Many measures used in HHVBP overlap with measures used in quality star ratings for home health agencies. Thus, improvements in quality measures used in HHVBP may also be reflected in changes in star ratings. However, it is unclear whether agencies competing in HHVBP improve their Centers for Medicare & Medicaid Services star ratings compared with those not competing. Using publicly available data from Centers for Medicare & Medicaid Services, we evaluated the effect of HHVBP on quality of patient care and patient experience composite star ratings over a 2-year period using a difference-in-differences analysis. We found evidence for a small, statistically significant increase in quality of patient care star ratings for agencies participating in HHVBP, and no effect on patient experience ratings.

The Changing Adoption of Culture Change Practices in U.S. Nursing Homes.

BACKGROUND AND OBJECTIVES: The study aimed to: (i) describe whether culture change (CC) practice implementation related to physical environment, resident-centered care, and staff empowerment increased within the same nursing homes (NHs) over time; and (ii) identify factors associated with observed increases. RESEARCH DESIGN AND METHODS: This was a nationally representative panel study of 1,584 U.S. NHs surveyed in 2009/2010 and 2016/2017. Survey data were merged with administrative, NH, and market-level data. Physical environment, staff empowerment, and resident-centered care domain scores were calculated at both time points. Multivariate logistic regression models examined factors associated with domain score increases. RESULTS: Overall, 22% of NHs increased their physical environment scores over time, 32% their staff empowerment scores, and 44% their resident-centered care scores. However, 32%-68% of NHs with below median baseline scores improved their domain scores over time compared with only 11%-21% of NHs with baseline scores at or above the median. Overall, NHs in states with Medicaid pay-for-performance (with CC components), in community care retirement communities, with special care units and higher occupancy had significantly higher odds of increases in physical environment scores. Only baseline domain scores were associated with increases in staff empowerment and resident-centered care scores. DISCUSSION AND IMPLICATIONS: This is the first nationally representative panel study to assess NH CC adoption. Many NHs increased their CC practices, though numerous others did not. While financial incentives and indicators of financial resources were associated with increase in physical environment scores, factors associated with staff empowerment and resident-centered care improvements remain unclear. Studies are needed to assess whether the observed increases in CC adoption are associated with greater quality of life and care gains for residents and whether there is a threshold effect beyond which the efficacy of additional practice implementation may be less impactful.

Home Health Use Following a Cancer Diagnosis Among Patients Enrolled in Medicare Advantage and Traditional Medicare: Findings From the Newly Linked SEER-Medicare and Home Health OASIS Data.

BACKGROUND: This article describes characteristics of patients receiving home health following an initial cancer diagnosis, comparing those enrolled in Medicare Advantage (MA) and Traditional Medicare (TM), using the newly linked 2010-2014 National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare and home health Outcome and Assessment Information Set (OASIS) data. METHODS: We identified SEER-Medicare beneficiaries with at least one OASIS assessment within 3 months of cancer diagnosis in 2010-2014, and summarized their demographic and clinical characteristics. Demographic and diagnostic data were obtained from the SEER-Medicare data, while further details about cognitive status, mood, function, and medical history were obtained from OASIS. We assessed differences between MA and TM beneficiaries using chi-square tests for independence, t-tests, and Kruskal-Wallis tests. RESUTLS: We identified 104 023 patients who received home health within 3 months of cancer diagnosis: 81 587 enrolled in TM and 22 436 enrolled in MA. TM cancer patients had higher unadjusted rates of home health use than MA patients (16.3% vs 10.3%, P < .001). TM cancer patients receiving home health had more limitations in their cognitive function than their MA counterparts and longer lengths of service (mean = 42.2 days vs 39.4 days, P < .001; median = 27 vs 26 days, interquartile range = 42). CONCLUSION: This study demonstrates the large number of cancer patients in the SEER-Medicare-OASIS data and describes characteristics for TM and MA patients. These newly linked data can be used to assess home health care among older patients with cancer.

Quality of Home Health Agencies Serving Traditional Medicare vs Medicare Advantage Beneficiaries.

Importance: Medicare Advantage (MA) enrollment is increasing, with one-third of Medicare beneficiaries currently selecting MA. Despite this growth, it is difficult to assess the quality of the health care professionals and organizations that serve MA beneficiaries or to compare them with health care professionals and organizations serving traditional Medicare (TM) beneficiaries. Elderly individuals served by home health agencies (HHAs) may be particularly susceptible to the negative outcomes associated with low-quality care. Objective: To compare the quality of HHAs that serve TM and MA beneficiaries. Design, Setting, and Participants: This cross-sectional, admission-level analysis used data from 4 391 980 home health admissions identified using the Outcome and Assessment Information Set (most commonly known as OASIS) admission assessments of Medicare beneficiaries in 2015 from Medicare-certified HHAs. A multinomial logistic regression model was used to assess whether an association existed between the Medicare plan type and HHA quality. The model was adjusted for patient demographics, acuity, and characteristics of the zip codes. Sensitivity analyses controlled for zip code fixed effects. The present analysis was conducted between October 2018 and March 2019. Exposures: Home health users were classified as TM or MA beneficiaries using the Master Beneficiary Summary File. The MA beneficiaries were further classified as enrolled in a high- or low-quality MA plan on the basis of publicly reported MA star ratings. Main Outcomes and Measures: Quality of HHA derived from the publicly reported patient care star ratings: low quality (1.0-2.5 stars), average quality (3.0-3.5 stars), or high quality (≥4.0 stars). Results: Of 4 391 980 admissions, most (75.5%) were for TM beneficiaries (mean [SD] age, 76.1 [12.2] years), with 16.6% of beneficiaries enrolled in high-quality MA plans (mean [SD] age, 77.8 [10.0] years) and 7.9% in low-quality MA plans (mean [SD] age, 74.4 [11.4] years). Individuals enrolled in low-rated MA plans were most likely to be nonwhite (percentages of nonwhite individuals in TM, 14.3%; in high-quality MA, 19.8%; and in low-quality MA, 36.5%) and dual Medicare-Medicaid eligible (percentages for dual eligible in TM, 30.5%; in high-quality MA, 19.5%; and in low-quality MA, 43.3%). Among TM beneficiaries, 30.4% received care from high-quality HHAs, whereas 17.0% received care from low-quality HHAs. Compared with TM beneficiaries, those in a low-quality MA plan were 3.0 percentage points (95% CI, 2.6%-3.4%) more likely to be treated by a low-quality HHA and 4.9 percentage points (95% CI, -5.4% to -4.3%) less likely to be treated by a high-quality HHA. The MA beneficiaries in high-quality plans were also less likely to receive care from high-quality vs low-quality HHAs (-2.8% [95% CI, -3.1% to -2.2%] vs 1.0% [95% CI, 0.7%-1.3%]). Conclusions and Relevance: Compared with TM beneficiaries, MA beneficiaries residing in the same zip code enrolled in either high- or low-quality MA plans may receive treatment from lower-quality HHAs. Policy makers may consider incentivizing MA plans to include higher-quality HHAs in their networks and improving patient education regarding HHA quality.

End-of-Life Culture Change Practices in U.S. Nursing Homes in 2016/2017.

CONTEXT: The nursing home (NH) culture change (CC) movement, which emphasizes person-centered care, is particularly relevant to meeting the unique needs of residents near the end of life. OBJECTIVES: We aimed to evaluate the NH-reported adoption of person-centered end-of-life culture change (EOL-CC) practices and identify NH characteristics associated with greater adoption. METHODS: We used NH and state policy data for 1358 NHs completing a nationally representative 2016/17 NH Culture Change Survey. An 18-point EOL-CC score was created by summarizing responses from six survey items related to practices for residents who were dying/had died. NHs were divided into quartiles reflecting their EOL-CC score, and multivariable ordered logistic regression was used to identify NH characteristics associated with having higher (quartile) scores. RESULTS: The mean EOL-CC score was 13.7 (SD = 3.0). Correlates of higher scores differed from those previously found for non-EOL-CC practices. Higher NH leadership scores and nonprofit status were consistently associated with higher EOL-CC scores. For example, a three-point leadership score increase was associated with higher odds of an NH performing in the top EOL-CC quartile (odds ratio [OR] = 2.0, 95% CI: 1.82-2.30), whereas for-profit status was associated with lower odds (OR = 0.7, 95% CI: 0.49-0.90). The availability of palliative care consults was associated with a greater likelihood of EOL-CC scores above the median (OR = 1.5, 95% CI: 1.10-1.93), but not in the top or bottom quartile. CONCLUSION: NH-reported adoption of EOL-CC practices varies, and the presence of palliative care consults in NHs explains only some of this variation. Findings support the importance of evaluating EOL-CC practices separately from other culture change practices.

The Prevalence of Culture Change Practice in US Nursing Homes: Findings From a 2016/2017 Nationwide Survey.

BACKGROUND AND OBJECTIVES: Given the dynamic nursing home (NH) industry and evolving regulatory environment, depiction of contemporary NH culture-change (person/resident-centered) care practice is of interest. Thus, we aimed to portray the 2016/2017 prevalence of NH culture change-related processes and structures and to identify factors associated with greater practice prevalence. RESEARCH DESIGN AND METHODS: We administered a nationwide survey to 2142 NH Administrators at NHs previously responding to a 2009/2010 survey. Seventy-four percent of administrators (1583) responded (with no detectable nonresponse bias) enabling us to generalize (weighted) findings to US NHs. From responses, we created index scores for practice domains of resident-centered care, staff empowerment, physical environment, leadership, and family and community engagement. Facility-level covariate data came from the survey and the Certification and Survey Provider Enhanced Reporting system. Ordered logistic regression identified the factors associated with higher index scores. RESULTS: Eighty-eight percent of administrators reported some facility-level involvement in NH culture change, with higher reported involvement consistently associated with higher domain index scores. NHs performed the best (82.6/100 weighted points) on the standardized resident-centered care practices index, and had the lowest scores (54.8) on the family and community engagement index. Multivariable results indicate higher index scores in NHs with higher leadership scores and in states having Medicaid pay-for-performance with culture change-related quality measures. CONCLUSIONS: The relatively higher resident-centered care scores (compared with other domain scores) suggest an emphasis on person-centered care in many US NHs. Findings also support pay-for-performance as a potential mechanism to incentivize preferred NH practice.

Variation in post-adenotonsillectomy admission practices in 24 pediatric hospitals.

OBJECTIVES/HYPOTHESIS: There is controversy about which children should be admitted after adenotonsillectomy (T&A) and limited clinical evidence to help with this decision. Current practice has evolved based on empirical or anecdotal evidence. We sought to identify practice variations in postoperative admission after T&A in tertiary care pediatric hospitals. STUDY DESIGN: Retrospective database study using administrative information stored in the Pediatric Health Information System (PHIS) database. METHODS: There were 29,920 T&As performed in 24 pediatric hospitals included in the PHIS database between July 1, 2009 and June 30, 2010. Patients were identified as outpatient (discharged the same day) or inpatient (not discharged on the day of surgery). We examined admission rates across different hospitals stratified by age, obstructive sleep apnea (OSA), and other complex chronic conditions. RESULTS: Younger age, the existence of a complex chronic condition, and OSA were all associated with higher post-T&A admission rates. Admission rates ranged from >94% for children under 2 years of age, with OSA and at least one medical comorbidity, to 14% for children older than 5 years, without OSA and without any medical comorbidities. Between-hospital variability was extreme; for example, for 3 to 5 year olds, the admission rate varied from 5% to 90% between hospitals. Very significant variation remained even after controlling for age, comorbidities, and OSA. CONCLUSIONS: Post T&A admission rates vary tremendously across comparable tertiary-care pediatric hospitals. There is a crucial need for a better understanding of the risk of complications on the first postoperative night, and the appropriate indications for monitored admission on that night. LEVEL OF EVIDENCE: 4.