Suchergebnisse

To assess the impact of home-delivered meals programs offered by Meals on Wheels (MOW) a dataset that includes enrollment into MOW and healthcare utilization is required. Because of confidentiality restrictions this data is dispersed over MOW programs internal systems and Medicare claims. In the absence of unique identifying identifiers, MOW beneficiaries are linked to Medicare beneficiaries using probabilistic linking algorithm. However, this procedure may erroneously link individuals across the two datasets, which may result in biased treatment effect estimates and suboptimal interval estimates. We propose a two-stage multiple imputation framework to estimate causal effects when the covariates and outcome information are stored in Medicare claims and the treatment assignment is MOW program data. In the first stage, we create multiple datasets in which MOW beneficiaries are linked to Medicare beneficiaries using a Bayesian record linkage technique. In the second stage, we match Medicare beneficiaries that were not enrolled in MOW programs to those that did. Using these matches we multiply imputed for each MOW beneficiary their unobserved healthcare utilization if they did not receive MOW. This procedure propagates the errors in the linking process and the matching process, and can be used to estimate effects of interventions in other linked datasets when there are no unique identifiers.

Understanding associations between injury severity and post-acute care recovery for older adults with traumatic brain injury (TBI) is crucial to improving care. Estimating these associations requires information on patients' injury, demographics, and long-term health outcomes. This data is despersed across two different datasets: Medicare claims data and the National Trauma Data Bank (NTDB). Because of privacy regulations, unique identifiers are not available to link records across these two data sets. Record linkage methods identify records that represent the same patient across data sets in the absence of unique identifiers. With a large number of records, these methods may result in many false links. Health providers are a natural grouping scheme for patients, because only records that receive care from the same provider can represent the same patient. In some cases, providers are defined within each data set, but they are not uniquely identified across data sets. We propose a Bayesian record linkage procedure that simultaneously links providers and patients. The procedure improves the accuracy of the estimated links compared to current methods. We implement the proposed method to examine the associations between functional status assessments and TBI patients' ability to be independent following their injury by linking records from Medicare enrollment records and the NTDB.

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.

OBJECTIVE. In 1987, the Omnibus Reconciliation Act (OBRA) called for a dramatic overhaul of the nursing home (NH) quality assurance system. This study examines trends in facility, resident, and quality characteristics since passage of that legislation. METHODS. We conducted univariate analyses of national data on U.S. NHs from three sources: (1) the 1985 National Nursing Home Survey (NNHS), (2) the 1992–2015 Online Survey Certification and Reporting (OSCAR) Data, and (3) LTCfocUS data for 2000–2015. We examined changes in NH characteristics, resident composition, and quality. SETTING AND PARTICIPANTS. US NH facilities and residents between 1985 and 2015. RESULTS. The proportion of NHs that are Medicare and Medicaid certified, members of chains, and operating not-for-profit has increased over the past 30 years. There have also been reductions in occupancy and increases in the share of residents who are: racial/ethnic minorities, admitted for post-acute care, in need of physical assistance with daily activities, primarily supported by Medicare, and diagnosed with a psychiatric condition such as schizophrenia. With regards to NH quality, direct care staffing levels have increased. The proportion of residents physically restrained has decreased dramatically, coupled with changes in inappropriate antipsychotic (chemical restraint) use. CONCLUSIONS AND IMPLICATIONS. Together with changes in the long-term care market, the NHs of today look very different from NHs 30 years ago. The 30th anniversary of OBRA provides a unique opportunity to reflect, consider what we have learned, and think about the future of this and other sectors of long-term care.

Research on nursing staff ratios and quality of care in nursing homes prompted Florida to implement minimum nursing staff ratios for certified nursing assistants (CNAs) in 2001. Using the contingency theory, the authors investigated the response to this mandate and its potential effects on indirect-care staff. This study used the Online Survey, Certification, and Reporting (OSCAR) staffing data for freestanding Florida nursing homes between the years 1999 and 2004. Piecewise regression growth curve models were investigated to test whether the percentage of Medicaid residents is associated with change in indirect-care staffing levels. The number of indirect-care staff hours per 100 residents declined significantly following the mandated increase in nursing staff, particularly among facilities with a low percentage of Medicaid residents. This may have stemmed from a partial transfer of indirect-care to CNAs and was exacerbated in facilities that received less additional reimbursement to pay for CNA increases.

Assisted living has become more widely used by dual-eligible Medicare beneficiaries as states try to rebalance their long-term services and supports away from institutional (nursing home) care. In an analysis of 2014 Medicare data for 506,193 adults who live in large (25+ beds) assisted living communities, we found wide variability among states in the share of assisted living residents who were dual-eligible, ranging from 6% in New Hampshire to over 40% in New York. This variation is strongly correlated with the Medicaid support for assisted living care: In states with a Medicaid state plan option covering services in assisted living or both a state plan and waiver, the percent of assisted living residents with dual-eligibility was more than 10 percentage points higher than in states with neither a state plan nor waiver. Findings provide a basis for understanding the role of Medicaid financing in access to assisted living for duals.

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.

Home health agencies (HHAs) are one of the most commonly used third-party providers in the assisted living (AL) setting. One way ALs may be potentially able to meet the needs of their residents despite increased impairment is through supplementing the services offered with those delivered by HHAs. We explore the growth in the delivery of HHA services to Medicare beneficiaries in AL compared with other home settings between 2012 and 2014. We also examine demographic, cognitive, and functional characteristics of beneficiaries; HHA provider characteristics; and the variation in the percentage of home health use in ALs across the country. Our findings suggest that there was a slight growth in the share of HHA services being delivered in AL. HHA recipients in AL were more likely to have cognitive and activities of daily living impairments than those receiving HHA services in other settings. This is among the first studies to examine HHA utilization in AL.

Our goal was to learn about monitoring and enforcement of state assisted living (AL) regulations. Using survey responses provided in 2019 from administrative agents across 48 states, we described state agency structures, accounted for operational processes concerning monitoring and enforcement, and documented data collecting and public reporting efforts. In half of the states, oversight of AL was dispersed across three or more agencies, and administrative support varied in terms of staffing and budget allocations. Operations also varied. While most agents could deploy a range of monitoring and enforcement tools, less than half compiled data concerning inspections, violations, and penalties. Less than 10 states shared such information in a manner that was easily accessible to the public. Future research should determine how these varied administrative structures and processes deter or contribute to AL communities' efforts to implement regulations designed to promote quality of life and provide for the safety of residents.

Payers and providers are increasingly being held accountable for the overall health of their populations and may choose to partner with community-based organizations (CBOs) to address members' social needs. This study examines the opportunities and challenges that health care entities, using Medicare Advantage (MA) plans as an example, encounter when forming these relationships. We conducted interviews with 38 representatives of 17 MA organizations, representing 65% of MA members nationally. Transcripts were qualitatively analyzed to understand overarching themes. Participants described qualities they look for in community partners, including an alignment of organizational missions and evidence of improved outcomes. Participants also described challenges in working with CBOs, including needing an evidence base for CBOs' services and an absence of organizational infrastructure. Results demonstrate areas where CBOs may target their efforts to appeal to payers and providers and reveal a need for health care entities to assist CBOs in acquiring skills necessary for partnerships.