1829. A Systems Approach to Nursing Home Antimicrobial Stewardship

Background: Up to 70% of nursing home (NH) residents receive one or more courses of antibiotics (ATB) annually, of which over half may be inappropriate and risk harm. The current availability of in-house NH data is often insufficient to measure and track appropriateness, due to incomplete data or unusable formatting. Our 3-year project to improve antimicrobial stewardship (AMS) used the Centers for Disease Control and Prevention’s (CDC) Core Elements of AMS for NHs, with guided input from NH providers to develop and implement an electronic ATB de-escalation decision support tool that also captures otherwise inaccessible data. Methods: Our baseline assessment identified wide variation in providers’ knowledge, attitudes, and beliefs regarding ATB prescribing, leading us to identify de-escalation as the most feasible NH AMS intervention. Using facilitated open-ended conversations with leaders from three NH corporations, we developed an electronic decision support tool to systematically prompt de-escalation 48–72 hours post-prescribing. Subsequent site visits with NH clinical teams at a convenience sample of sites allowed us to explore how to incorporate decision support into their electronic health record (EHR). Results: We developed a tool anchored on data capture for the “acute change in condition” that triggers prescriber interactions. It uses clinical and laboratory data to prompt structured communication between nurses and prescribers. Placing this tool in the EHR reduced duplicate charting, enabled guidance from McGeer and Loeb criteria, and promoted its adoption into practice while ensuring data capture to assess appropriateness of ATB prescribing. Conclusion: Our electronic decision support tool captures clinical and laboratory data, which it then uses to systematically prompt conversations about de-escalation between nurses and prescribers, reducing variation in practice. Upon completion, the assessment ensures availability of data to assess, track, and report appropriate prescribing practices among prescribers. This tool proved acceptable to NH providers in three different corporations, suggesting feasibility of further expansion of this approach to a broader group of NH providers

Persistence of Racial Inequities in Receipt of Influenza Vaccination among Nursing Home Residents in the United States

BACKGROUND: We sought to determine if the racial differences in influenza vaccination among nursing home (NH) residents during the 2008-09 influenza season persisted in 2018-19. METHODS: We conducted a cross-sectional study of NHs certified by the U.S. Centers for Medicare & Medicaid Services during the 2018-19 influenza season in U.S. states with ≥ 1% black NH residents and a white-black gap in influenza vaccination of NH residents (N=2,233,392) of at least one percentage point (N=40 states). NH Residents during October 1, 2018 through March 31, 2019 aged ≥ 18 years and self-identified as black or white race were included. Residents' influenza vaccination status (vaccinated, refused, and not offered) was assessed. Multilevel modeling was used to estimate facility-level vaccination status and inequities by state. RESULTS: The white-black gap in influenza vaccination was 9.9 percentage points. In adjusted analyses, racial inequities in vaccination were more prominent at the facility- than at the state-level. Black residents disproportionately lived in NHs with majority blacks, which generally had the lowest vaccination. Inequities were most concentrated in the Midwestern region, also the most segregated. Not being offered the vaccine was negligible by difference in absolute percentage points among whites (2.6%) and blacks (4.8%) whereas refusals were higher among black (28.7%) than white residents (21.0%). CONCLUSIONS: The increase in the white-black vaccination gap among NH residents is occurring at the facility-level, in more states, especially those with the most segregation. Standing orders for vaccinations, previously reported to narrow the racial gap in vaccination among NH residents, should be considered

Decomposing Racial and Ethnic Disparities in Nursing Home Influenza Vaccination

OBJECTIVES: Quantify how observable characteristics contribute to influenza vaccination disparities among White, Black, and Hispanic nursing home (NH) residents. DESIGN: Retrospective cohort. SETTING AND PARTICIPANTS: Short- and long-stay U.S. NH residents aged ≥65 years. METHODS: We linked Minimum Data Set (MDS) and Medicare data to LTCFocUS and other facility data. We included residents with 6-month continuous enrollment in Medicare and an MDS assessment between October 1, 2013, and March 31, 2014. Residents were classified as short-stay (<100 days in NH) or long-stay (≥100 days in NH). We fit multivariable logistic regression models to assess the relationships between 27 resident and NH-level characteristics and receipt of influenza vaccination. Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparity in influenza vaccination between White versus Black and White versus Hispanic NH residents. Analyses were repeated separately for short- and long-stay residents. RESULTS: Our study included 630,373 short-stay and 1,029,593 long-stay residents. Proportions vaccinated against influenza included 67.2% of White, 55.1% of Black, and 54.5% of Hispanic individuals among short-stay residents and 84.2%, 76.7%, and 80.8%, respectively among long-stay residents. Across 4 comparisons, the crude disparity in influenza vaccination ranged from 3.4 to 12.7 percentage points. By equalizing 27 prespecified characteristics, these disparities could be reduced 37.7% to 59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors across all analyses. Characteristics unmeasured in our data (eg, NH staff attitudes and beliefs) may have also contributed significantly to the disparity. CONCLUSIONS AND IMPLICATIONS: The racial/ethnic disparity in influenza vaccination was most dramatic among short-stay residents. Intervening on factors associated with NH quality would likely reduce these disparities; however, future qualitative research is essential to explore potential contributors that were unmeasured in our data and to understand the degree to which these factors contribute to the overall disparity in influenza vaccination

Geographic variation in influenza vaccination among U.S. nursing home residents:A national study

OBJECTIVES: Estimates of influenza vaccine use are not available at the county level for U.S. nursing home (NH) residents but are critically necessary to guide the implementation of quality improvement programs aimed at increasing vaccination. Furthermore, estimates that account for differences in resident characteristics between counties are unavailable. We estimated risk‐standardized vaccination rates (RSVRs) among short‐ and long‐stay NH residents by U.S. county and identified drivers of geographic variation. METHODS: We conducted a retrospective cohort study utilizing 100% of 2013–2015 fee‐for‐service Medicare claims, Minimum Data Set assessments, Certification and Survey Provider Enhanced Reports, and Long‐Term Care: Facts on Care in the U.S. We separately evaluated short‐stay (<100 days) and long‐stay (≥100 days) residents aged 65 and older across the 2013–2014 and 2014–2015 influenza seasons. We estimated RSVRs via hierarchical logistic regression adjusting for 32 resident‐level covariates. We then used multivariable linear regression models to assess associations between county‐level NHs predictors and RSVRs. RESULTS: The study cohort consisted of 2,817,217 residents in 14,658 NHs across 2798 counties. Short‐stay residents had lower RSVRs than long‐stay residents (2013–2014: median [interquartile range], 69.6% [62.8–74.5] vs 84.0% [80.8–86.4]), and there was wide variation within each population (range, 11.4–89.8 vs 49.1–92.6). Several modifiable facility‐level characteristics were associated with increased RSVRs, including higher registered nurse to total nurse ratio and higher total staffing for licensed practical nurses, speech‐language pathologists, and social workers. Characteristics associated with lower RSVRs included higher percentage of residents restrained, with a pressure ulcer, and NH‐level hospitalizations per resident‐year. CONCLUSIONS: Substantial county‐level variation in influenza vaccine use exists among short‐ and long‐stay NH residents. Quality improvement interventions to improve vaccination rates can leverage these results to target NHs located in counties with lower risk‐standardized vaccine use

Measurement of χ c1 and χ c2 production with s√ = 7 TeV pp collisions at ATLAS

The prompt and non-prompt production cross-sections for the χ c1 and χ c2 charmonium states are measured in pp collisions at s√ = 7 TeV with the ATLAS detector at the LHC using 4.5 fb−1 of integrated luminosity. The χ c states are reconstructed through the radiative decay χ c → J/ψγ (with J/ψ → μ + μ −) where photons are reconstructed from γ → e + e − conversions. The production rate of the χ c2 state relative to the χ c1 state is measured for prompt and non-prompt χ c as a function of J/ψ transverse momentum. The prompt χ c cross-sections are combined with existing measurements of prompt J/ψ production to derive the fraction of prompt J/ψ produced in feed-down from χ c decays. The fractions of χ c1 and χ c2 produced in b-hadron decays are also measured

Jet size dependence of single jet suppression in lead-lead collisions at sqrt(s(NN)) = 2.76 TeV with the ATLAS detector at the LHC

Measurements of inclusive jet suppression in heavy ion collisions at the LHC provide direct sensitivity to the physics of jet quenching. In a sample of lead-lead collisions at sqrt(s) = 2.76 TeV corresponding to an integrated luminosity of approximately 7 inverse microbarns, ATLAS has measured jets with a calorimeter over the pseudorapidity interval |eta| < 2.1 and over the transverse momentum range 38 < pT < 210 GeV. Jets were reconstructed using the anti-kt algorithm with values for the distance parameter that determines the nominal jet radius of R = 0.2, 0.3, 0.4 and 0.5. The centrality dependence of the jet yield is characterized by the jet "central-to-peripheral ratio," Rcp. Jet production is found to be suppressed by approximately a factor of two in the 10% most central collisions relative to peripheral collisions. Rcp varies smoothly with centrality as characterized by the number of participating nucleons. The observed suppression is only weakly dependent on jet radius and transverse momentum. These results provide the first direct measurement of inclusive jet suppression in heavy ion collisions and complement previous measurements of dijet transverse energy imbalance at the LHC.Comment: 15 pages plus author list (30 pages total), 8 figures, 2 tables, submitted to Physics Letters B. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/HION-2011-02