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5. List of Contributors

Author

Shimabukuro, Tom T., primary, Duffy, Jonathan, additional, Su, John R., additional, Omer, Saad B., additional, Poland, Caroline M., additional, Gravenstein, Stefan, additional, Cunningham, Anthony L., additional, Heineman, Thomas C., additional, Levin, Myron J., additional, Poland, Gregory A., additional, Ovsyannikova, Inna G., additional, Kennedy, Richard B., additional, Tosh, Pritish K., additional, Loeb, Mark, additional, Harrison, Lee H., additional, Altmann, Daniel M., additional, Whitaker, Jennifer A., additional, Mileno, Maria D., additional, Weber, David J., additional, Pilishvili, Tamara, additional, Nanduri, Srinivas Acharya, additional, Bennett, Nancy M., additional, Chamberlain, Allison T., additional, Saade, Elie A., additional, Canaday, David H., additional, Davidson, H. Edward, additional, Han, Lisa F., additional, Wang, Biao, additional, Sickbert-Bennett, Emily E., additional, Valles, Kenneth, additional, Lau, Colleen, additional, Lonks, John R., additional, Garland, Joseph Metmowlee, additional, Sanchez, Martha C., additional, Nau, Gerard J., additional, and Larkin, Jerome M., additional

Published
2019
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7. Evaluating the Findings of the IMPACT-C Randomized Clinical Trial to Improve COVID-19 Vaccine Coverage in Skilled Nursing Facilities

Author

Berry, Sarah D., primary, Goldfeld, Keith S., additional, McConeghy, Kevin, additional, Gifford, David, additional, Davidson, H. Edward, additional, Han, Lisa, additional, Syme, Maggie, additional, Gandhi, Ashvin, additional, Mitchell, Susan L., additional, Harrison, Jill, additional, Recker, Amy, additional, Johnson, Kimberly S., additional, Gravenstein, Stefan, additional, and Mor, Vincent, additional

Published
2022
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14. sj-docx-1-aop-10.1177_10600280211059241 ��� Supplemental material for Development of MDS-Based Predication Model for COPD Severity in Nursing Home Residents

Author

Blaylock, Barbara, Niu, Xiaoli, Davidson, H. Edward, Gravenstein, Stefan, DePue, Ronald, Williams, G. Rhys, and Steinberg, Karl E.

Subjects
FOS: Clinical medicine, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
Abstract

Supplemental material, sj-docx-1-aop-10.1177_10600280211059241 for Development of MDS-Based Predication Model for COPD Severity in Nursing Home Residents by Barbara Blaylock, Xiaoli Niu, H. Edward Davidson, Stefan Gravenstein, Ronald DePue, G. Rhys Williams and Karl E. Steinberg in Annals of Pharmacotherapy

Published
2021
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22. Cluster-randomized Trial of Adjuvanted Versus Nonadjuvanted Trivalent Influenza Vaccine in 823 US Nursing Homes.

Author

McConeghy, Kevin W, Davidson, H Edward, Canaday, David H, Han, Lisa, Saade, Elie, Mor, Vince, and Gravenstein, Stefan

Subjects
*INFLUENZA vaccines, *CONFIDENCE intervals, *NURSING care facilities, *TREATMENT effectiveness, *RANDOMIZED controlled trials, *HOSPITAL care, *DESCRIPTIVE statistics, *ODDS ratio, *LONGITUDINAL method, *PROPORTIONAL hazards models
Abstract

Background Influenza leads in preventable infection-related hospitalization in nursing home (NH) residents. The adjuvanted trivalent influenza vaccine (aTIV) is more immunogenic than similarly dosed nonadjuvanted trivalent influenza vaccine (TIV), and observational studies suggest aTIV better prevents hospitalizations in older adults. We prospectively tested this in an NH setting. Methods NHs with ≥50 long-stay residents aged ≥65 years were randomized to offer aTIV or TIV for residents for the 2016–2017 influenza season. Using intent-to-treat resident-level analysis with Cox proportional hazards regression models adjusted for clustering by facility and a priori baseline covariates (eg, age, heart failure, and facility-level characteristics), we assessed relative aTIV:TIV effectiveness for hospitalization (ie, all-cause, respiratory, and pneumonia and influenza [P&I]). Results We randomized 823 NHs, housing 50 012 eligible residents, to aTIV or TIV. Residents were similar between groups by age (mean, ~79 years), heart failure, lung disease, and influenza and pneumococcal vaccine uptake, except aTIV homes housed fewer Black residents (14.5 vs 18.9%). Staff vaccine uptake was similar (~55%). P&I and all-cause resident hospitalization rates were lower (adjusted HR [aHR],.80 [95% CI,.66–.98; P =.03] and.94 [.89–.99; P =.02], respectively) for aTIV versus TIV, while the respiratory hospitalization rate was similar, in a season where vaccine effectiveness was considered poor. Conclusions aTIV was more effective than TIV in preventing all-cause and P&I hospitalization from NHs during an A/H3N2-predominant season when TIV was relatively ineffective. Clinical Trials Registration NCT02882100. [ABSTRACT FROM AUTHOR]

Published
2021
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34. 1953. Comparative Effectiveness of High- vs. Standard-Dose Influenza Vaccine on Hospitalization for Acute Myocardial Infarction in Nursing-Home Residents: A Post-hoc Analysis From a Large Cluster-Randomized Trial

Author

Saade, Elie, primary, Joyce, Nina, additional, Ogarek, Jessica, additional, Davidson, H Edward, additional, Han, Lisa, additional, Canaday, David, additional, Yasin, Abul, additional, Shireman, Theresa, additional, Mor, Vincent, additional, and Gravenstein, Stefan, additional

Published
2018
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48. Colaboradores

Author

Shimabukuro, Tom T., Duffy, Jonathan, Su, John R., Omer, Saad B., Poland, Caroline M., Gravenstein, Stefan, Cunningham, Anthony L., Heineman, Thomas C., Levin, Myron J., Poland, Gregory A., Ovsyannikova, Inna G., Kennedy, Richard B., Tosh, Pritish K., Loeb, Mark, Harrison, Lee H., Altmann, Daniel M., Whitaker, Jennifer A., Mileno, Maria D., Weber, David J., Pilishvili, Tamara, Nanduri, Srinivas Acharya, Bennett, Nancy M., Chamberlain, Allison T., Saade, Elie A., Canaday, David H., Davidson, H. Edward, Han, Lisa F., Wang, Biao, Sickbert-Bennett, Emily E., Valles, Kenneth, Lau, Colleen, Lonks, John R., Garland, Joseph Metmowlee, Sanchez, Martha C., Nau, Gerard J., and Larkin, Jerome M.

Published
2020
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