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Background: Home health services are an important site of care following hospitalization among Medicare beneficiaries, providing health assessments that can be leveraged to detect diagnoses that are not available in other data sources. In this work, we aimed to develop a parsimonious and accurate algorithm using home health outcome and assessment information set (OASIS) measures to identify Medicare beneficiaries with a diagnosis of Alzheimer's disease and related dementia (ADRD). Methods: We conducted a retrospective cohort study of Medicare beneficiaries with a complete OASIS start of care assessment in 2014, 2016, 2018, or 2019 to determine how well the items from various versions could identify those with an ADRD diagnosis by the assessment date. The prediction model was developed iteratively, comparing the performance of different models in terms of sensitivity, specificity, and accuracy of prediction, from a multivariable logistic regression model using clinically relevant variables, to regression models with all available variables and predictive modeling techniques, to estimate the best performing parsimonious model. Results: The most important predictors of having a diagnosis of ADRD by the start of care OASIS assessment were a prior discharge diagnosis of ADRD among those admitted from an inpatient setting, and frequently exhibiting symptoms of confusion. Results from the parsimonious model were consistent across the four annual cohorts and OASIS versions with high specificity (above 96%), but poor sensitivity (below 58%). The positive predictive value was high, over 87% across study years. Conclusions: The proposed algorithm has high accuracy, requires a single OASIS assessment, is easy to implement without sophisticated statistical models, and can be used across four OASIS versions and in situations where claims are not available to identify individuals with a diagnosis of ADRD, including the growing population of Medicare Advantage beneficiaries. [ABSTRACT FROM AUTHOR]

Purpose: Home health agencies delivering care in rural counties face unique challenges when providing care to older adults; long travel times between each visit can limit the number of patients seen each day. In 2010, Medicare began paying home health (HH) providers 3% more to serve rural beneficiaries without evaluating the policy's impact on patient outcomes. Methods: Using 100% Medicare data on postacute HH episodes from 2007 to 2014, we estimated the impact of higher payments on beneficiaries outcomes using difference‐in‐differences analysis, comparing rehospitalizations between rural and urban postacute HH episodes before and after 2010. Findings: Our sample included 5.6 million postacute HH episodes (18% rural). In the preperiod, the 30‐ and 60‐day rehospitalization rates for urban HH episodes were 11.30% and 18.23% compared to 11.38% and 18.39% for rural HH episodes. After 2010, 30‐ and 60‐day rehospitalization rates declined, 10.08% and 16.49% for urban HH episodes and 9.87% and 16.08% for rural HH episodes, respectively. The difference‐in‐difference estimate was 0.29 percentage points (P =.005) and 0.57 percentage points (P <.001) for 30‐ and 60‐day rehospitalization, respectively. Conclusions: Increasing payments resulted in a statistically significant reduction in rehospitalizations for rural postacute HH episodes. The add‐on payment is set to sunset in 2022 and its impact on access and quality to HH for rural older adults should be reconsidered. [ABSTRACT FROM AUTHOR]

Background: Potentially burdensome transitions at the end of life (e.g., repeated hospitalizations toward the end of life and/or health care transitions in the last three days of life) are common among residential care/assisted living (RC/AL) residents, and are associated with lower quality of end-of-life care reported by bereaved family members. We examined the association between state RC/AL regulations relevant to end-of-life care delivery and the likelihood of residents experiencing potentially burdensome transitions. Methods: Retrospective cohort study combining RC/AL registries of states' regulations with Medicare claims data for residents in large RC/ALs (i.e., 25+ beds) in the United States on the 120th day before death (N = 129,153), 2017–2019. Independent variables were state RC/AL regulations relevant to end-of-life care, including third-party services, staffing, and medication management. Analyses included: (1) separate logistic regression models for each RC/AL regulation, adjusting for sociodemographic covariates; (2) separate logistic regression models with a Medicare fee-for-service (FFS) subgroup to control for comorbidities, and (3) multivariable regression analysis, including all regulations in both the overall sample and the Medicare FFS subgroup. Results: We found a lack of associations between potentially burdensome transitions and regulations regarding third-party services and staffing. There were small associations found between regulations related to medication management (i.e., requiring regular medication reviews, permitting direct care workers for injections, requiring/not requiring licensed nursing staff for injections) and potentially burdensome transitions. Conclusions: In this cross-sectional study, the associations of RC/AL regulations with potentially burdensome transitions were either small or not statistically significant, calling for more studies to explain the wide variation observed in end-of-life outcomes among RC/AL residents. [ABSTRACT FROM AUTHOR]

Purpose: Medicare hospice is a valuable source of quality care at the end of life, but its lower use by racial minority groups is of concern. This study identifies factors associated with hospice use among urban Black and White nursing home (NH) decedents in the United States. Design and Methods: Multiple data sources are combined and multilevel logistic regression is utilized to examine hospice use among urban Black and White NH residents who had access to hospice and died in 2006 (N = 288,202). Results: In NHs, Blacks are less likely to use hospice than Whites (35.4% vs. 39.3%), even when controlling for covariates, interactions, and clustering of decedents in NHs and counties (adjusted odds ratio = 0.81, 95% confidence interval = 0.77-0.86). Variation in hospice use is greater among subgroups of Blacks than between Blacks and Whites, and these variations are predominantly due to individual-level factors, with some influence of NH-level factors. Hospice use is higher for Blacks versus Whites with do-not-resuscitate orders and lower for Blacks versus Whites with congestive heart failure (CHF). Additionally, hospice use is greater among Blacks with versus without do-not-resuscitate or do-not-hospitalize orders or cancer and those in low-tier versus other NHs. There was also lower hospice use among Blacks with versus without CHF. Implications: Efforts to reduce racial differences in hospice use should attend to individual-level factors. Heightening use of advance directives and targeting Blacks with CHF for hospice could be particularly helpful.