Outcomes for Long-Stay Nursing Facility Residents Following On-Site Acute Care under a CMS Initiative.

OBJECTIVES: The goal of this study was to describe outcomes of long-term nursing facility (NF) residents treated for one of 6 conditions on-site in the NF and to compare outcomes to those treated for the same conditions in the hospital. DESIGN: Cross-sectional retrospective study. SETTINGS AND PARTICIPANTS: The Centers for Medicare & Medicaid Services (CMS) Initiative to Reduce Avoidable Hospitalizations among Nursing Facility Residents-Payment Reform enabled participating NFs to bill Medicare for providing on-site care to eligible long-stay residents meeting specified severity criteria due to any of 6 medical conditions, as an alternative to hospitalization. For billing purposes, residents were required to meet clinical criteria severe enough to warrant hospitalization. METHODS: We used the Minimum Data Set assessments to identify eligible long-stay NF residents. We used Medicare data to identify residents who were treated, either on-site or in the hospital, for the 6 conditions and measure outcomes including subsequent hospitalization and death. To compare residents treated in the 2 modes, we used logistic regression models and adjusted for demographics, functional and cognitive status, and comorbidities. RESULTS: Among residents treated on-site for the 6 conditions, 13.6% were subsequently hospitalized and 7.8% died, within 30 days, compared to 26.5% and 17.0%, respectively, among those treated in the hospital. Based on multivariate analysis, those treated in the hospital were more likely to be readmitted (OR = 1.666, P < .001) or to die (OR = 2.251, P < .001). CONCLUSIONS AND IMPLICATIONS: Although unable to fully account for differences in unobserved severity of illness between residents treated on-site vs in the hospital, our results do not indicate any harm, but rather a possible benefit, to being treated on-site.

What Drove Program Participants to Initially Attend Congregate Meals? Socialization, Health, and Other Reasons.

The Congregate Nutrition Services support efforts to keep older Americans independent and engaged in their communities. We examined participants' self-reported reasons for initially attending the congregate meals program and whether reasons differed by participant characteristics. Descriptive statistics and tests of differences were used to compare participants (n = 1,072). Individuals attended congregate meals for several reasons, with the top two being socialization (36.3%) and age- or health-related reasons (18.7%). Those attending for socialization were less likely to be lower income, have food insecurity, or live with 3+ ADL limitations while participants who first attended due to age or health-related reasons were more likely to be low income, food insecure, and from historically marginalized populations. Health and social service professionals and community organizations could expand data collection on older adults in their communities and partner with congregate meal providers to encourage participation for individuals with unmet nutritional, health, and socialization needs.

Participation in a Medicare advanced primary care model and the delivery of high-value services.

OBJECTIVE: To evaluate whether primary care providers' participation in the Comprehensive Primary Care Plus Initiative (CPC+) was associated with changes in their delivery of high-value services. DATA SOURCES: Medicare Physician & Other Practitioners public use files from 2013 to 2019, 2017 to 2019 Medicare Part B claims for a 5% random sample of Medicare Fee-for-Service (FFS) beneficiaries, the Area Health Resources File, the National Plan & Provider Enumeration System files, and public use datasets from the Centers for Medicare & Medicaid Services Physician Compare. STUDY DESIGN: We used a difference-in-difference approach with a propensity score-matched comparison group to estimate the association of CPC+ participation with the delivery of annual wellness visits (AWVs), advance care planning (ACP), flu shots, counseling to prevent tobacco use, and depression screening. These services are prominent examples of high-value services, providing benefits to patients at a reasonable cost. We examined both the likelihood of delivering these services within a year and the count of services delivered per 1000 Medicare FFS beneficiaries per year. DATA COLLECTION/EXTRACTION METHODS: Secondary data are linked at the provider level. PRINCIPAL FINDINGS: We find that CPC+ participation was associated with increases in the likelihood of delivering AWVs (13.03 percentage points by CPC+'s third year, p < 0.001) and the number of AWVs per 1000 Medicare FFS beneficiaries (44 more AWVs by CPC+'s third year, p < 0.001). We also find that CPC+ participation was associated with more flu shots per 1000 beneficiaries (52 more shots by CPC+'s third year, p < 0.001) but not with the likelihood of delivering flu shots. We did not find consistent evidence for the association between CPC+ participation and ACP services, counseling to prevent tobacco use, or depression screening. CONCLUSIONS: CPC+ participation was associated with increases in the delivery of AWVs and flu shots, but not other high-value services.

Implementation of a CMS Nursing Facility Initiative: Differences by Racial Minority Resident Population.

Objectives: The CMS Initiative to Reduce Avoidable Hospitalizations Among Nursing Facility Residents: Payment Reform (NFI 2) provided billing opportunities to incentivize participating facilities to keep long-stay residents onsite for acute care, rather than hospitalizing them. We examined cross-facility differences in NFI 2 implementation by racial composition of facility resident populations. Methods: We analyzed Medicare claims in conjunction with in-person and telephone interviews among facility staff to assess NFI 2 engagement in relation to racial minority resident population. Results: Participating facilities with larger racial minority resident populations faced additional barriers to NFI 2 implementation. These facilities submitted fewer NFI 2 claims, reported more challenges engaging resident families, and experienced greater facility staff and leadership instability, compared to facilities with predominantly white resident populations. Discussion: Addressing structural differences within facilities with larger populations of racial minority residents may encourage future development of targeted programs to support diverse nursing facilities.

CMS Initiative to Reduce Potentially Avoidable Hospitalizations Among Long-Stay Nursing Facility Residents: Lessons Learned.

Policy Points Misaligned incentives between Medicare and Medicaid may result in avoidable hospitalizations among long-stay nursing home residents. Providing nursing homes with clinical staff, such as nurse practitioners, was more effective in reducing resident hospitalizations than providing Medicare incentive payments alone. CONTEXT: In 2012, the Centers for Medicare and Medicaid Services implemented the Initiative to Reduce Avoidable Hospitalizations Among Nursing Facility Residents. In Phase 1 (2012 to 2016), clinical or education-based interventions (Clinical-Only) aimed to reduce hospitalizations among long-stay nursing home residents. In Phase 2 (2016 to 2020), the Initiative also included a Medicare payment incentive for treating residents with certain conditions within the nursing home. Nursing homes participating in Phase 1 continued their previous interventions and received the incentive (Clinical + Payment) and others received the incentive only (Payment-Only). METHODS: Mixed methods were used to determine the effectiveness of the Initiative and explore facilitators of and barriers to implementation that participating nursing homes experienced. We used telephone and in-person interviews to investigate aspects of implementation and a difference-in-differences regression model framework comparing residents in participating and nonparticipating nursing homes to determine the effect of the Initiative on measures of utilization, expenditures, and quality. FINDINGS: Three key components were necessary for successful implementation of the Initiative-staff retention and leadership stability, leadership and staff support, and provider engagement and support. Nursing homes that lacked one or more of these three components experienced greater challenges. The Clinical-Only intervention in Phase 1 was successful in reducing hospitalizations. We did not find evidence that the Clinical + Payment or Payment-Only interventions were successful in reducing hospitalizations. CONCLUSIONS: Reducing hospitalizations among nursing home residents hinges upon the availability and support of clinical staff who can provide ongoing education to direct-care staff in the nursing home, as well as hands-on care. Use of Medicare payment incentives alone to encourage on-site treatment of residents was insufficient to reduce hospitalizations. Unless nursing homes are adequately staffed to treat residents with acute care needs, further reductions in hospitalizations will be difficult to achieve.

Treating in Place: Acute Care for Long-Stay Residents in Nursing Facilities Under a CMS Initiative.

BACKGROUND/OBJECTIVES: Nursing facility (NF) residents are commonly hospitalized, and many of these hospitalizations may be avoidable. A Centers for Medicare & Medicaid Services (CMS) initiative enables participating NFs to bill Medicare for providing on-site acute care to long-stay residents diagnosed with one of six ambulatory care sensitive conditions (pneumonia, congestive heart failure, chronic obstructive pulmonary disease, dehydration, skin infection, and urinary tract infection) that account for many avoidable hospitalizations. This study describes the frequency of initiative-related treatment for the six conditions, both on site and in the hospital, and the health status of residents who were treated. DESIGN: We used the Minimum Data Set V3.0 and Medicare data to identify eligible residents, detect on-site treatment under the initiative as well as in-hospital treatment both before and during the initiative, and measure health status. SETTING: Participating NFs during fiscal years 2017 to 2018. PARTICIPANTS: There were 47,202 long-stay NF residents from 260 facilities in seven states. INTERVENTION: CMS initiative to reduce avoidable hospitalizations among NF residents-payment reform. MEASUREMENTS: Percentage per year who received on-site treatment (2017-2018), and who received in-hospital treatment (2014-2018), for the six conditions. RESULTS: Each year, approximately 20% of residents received treatment on site during 2017 to 2018, and under 10% received treatment in the hospital during 2014 to 2018, with little change over these years. Residents treated on site had less chronic illness than those treated in the hospital. CONCLUSION: Although the initiative sought to reduce hospitalizations, in-hospital treatment for the six conditions did not substantially change after initiative implementation, despite substantial new billing for on-site treatment for those conditions. These findings suggest that many residents treated on site would likely not have been hospitalized even absent the initiative. The residents treated on site tended to have fewer chronic conditions than those treated in the hospital.

Leveraging summary statistics to make inferences about complex phenotypes in large biobanks.

As genetic sequencing becomes less expensive and data sets linking genetic data and medical records (e.g., Biobanks) become larger and more common, issues of data privacy and computational challenges become more necessary to address in order to realize the benefits of these datasets. One possibility for alleviating these issues is through the use of already-computed summary statistics (e.g., slopes and standard errors from a regression model of a phenotype on a genotype). If groups share summary statistics from their analyses of biobanks, many of the privacy issues and computational challenges concerning the access of these data could be bypassed. In this paper we explore the possibility of using summary statistics from simple linear models of phenotype on genotype in order to make inferences about more complex phenotypes (those that are derived from two or more simple phenotypes). We provide exact formulas for the slope, intercept, and standard error of the slope for linear regressions when combining phenotypes. Derived equations are validated via simulation and tested on a real data set exploring the genetics of fatty acids.