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An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread

The research objective was to rapidly scale up and spread a proven learning collaborative approach (intervention) for adult vaccination rates for influenza and pneumococcal disease from 7 to 39 US health care organizations and to examine improvement in adult immunization rates after scale-up. Compar...

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Autores principales: Ciemins, Elizabeth L., Jerry, Michelle, Powelson, Jill, Leaver-Schmidt, Erin, Joshi, Vaishali, Chambers, Earlean, Casanova, Danielle, Kennedy, John W., Penso, Jerry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703232/
https://www.ncbi.nlm.nih.gov/pubmed/31930932
http://dx.doi.org/10.1089/pop.2019.0169
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author Ciemins, Elizabeth L.
Jerry, Michelle
Powelson, Jill
Leaver-Schmidt, Erin
Joshi, Vaishali
Chambers, Earlean
Casanova, Danielle
Kennedy, John W.
Penso, Jerry
author_facet Ciemins, Elizabeth L.
Jerry, Michelle
Powelson, Jill
Leaver-Schmidt, Erin
Joshi, Vaishali
Chambers, Earlean
Casanova, Danielle
Kennedy, John W.
Penso, Jerry
author_sort Ciemins, Elizabeth L.
collection PubMed
description The research objective was to rapidly scale up and spread a proven learning collaborative approach (intervention) for adult vaccination rates for influenza and pneumococcal disease from 7 to 39 US health care organizations and to examine improvement in adult immunization rates after scale-up. Comparative analyses were conducted between intervention and nonintervention propensity score-matched providers on vaccination rates using a difference-in-differences approach. Qualitative data, collected during site visits and in-person and virtual meetings, were used to enhance understanding of quantitative results. In 2017–2018, an analysis of a subset of sites (n = 9) from 2 intervention cohorts (∼20 sites each) demonstrated greater improvement than their matched providers in pneumococcal vaccinations (PV) for patients ages ≥65 years (treatment effect range: 1.4%-3.7%, P < 0.01) and PV for high-risk patients (eg, with immunocompromising conditions) aged 19–64 years (0.8%-1.6%, P < 0.01). Significant effects were observed in one of the study cohorts for PV for at-risk patients (eg, with diabetes) aged 19–64 years (1.7%, P < 0.01), and influenza vaccination rates (2.4%, P < 0.001). Individual health systems demonstrated even greater improvements across all 4 vaccinations: 9.5% influenza; 8.7% PV ages ≥65 years; 11.8% PV high-risk; 16.3% PV at-risk (all P < 0.01). Results demonstrated that a 7-site pilot could be successfully scaled to 39 additional sites, with similar improvements in vaccination rates. Between 2014 and 2018, vaccination improvements among all 46 groups (7 pilot, 39 in subsequent cohorts) resulted in an estimated 5.5 million adult vaccinations administered or documented in 27 states.
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spelling pubmed-77032322020-12-01 An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread Ciemins, Elizabeth L. Jerry, Michelle Powelson, Jill Leaver-Schmidt, Erin Joshi, Vaishali Chambers, Earlean Casanova, Danielle Kennedy, John W. Penso, Jerry Popul Health Manag Original Articles The research objective was to rapidly scale up and spread a proven learning collaborative approach (intervention) for adult vaccination rates for influenza and pneumococcal disease from 7 to 39 US health care organizations and to examine improvement in adult immunization rates after scale-up. Comparative analyses were conducted between intervention and nonintervention propensity score-matched providers on vaccination rates using a difference-in-differences approach. Qualitative data, collected during site visits and in-person and virtual meetings, were used to enhance understanding of quantitative results. In 2017–2018, an analysis of a subset of sites (n = 9) from 2 intervention cohorts (∼20 sites each) demonstrated greater improvement than their matched providers in pneumococcal vaccinations (PV) for patients ages ≥65 years (treatment effect range: 1.4%-3.7%, P < 0.01) and PV for high-risk patients (eg, with immunocompromising conditions) aged 19–64 years (0.8%-1.6%, P < 0.01). Significant effects were observed in one of the study cohorts for PV for at-risk patients (eg, with diabetes) aged 19–64 years (1.7%, P < 0.01), and influenza vaccination rates (2.4%, P < 0.001). Individual health systems demonstrated even greater improvements across all 4 vaccinations: 9.5% influenza; 8.7% PV ages ≥65 years; 11.8% PV high-risk; 16.3% PV at-risk (all P < 0.01). Results demonstrated that a 7-site pilot could be successfully scaled to 39 additional sites, with similar improvements in vaccination rates. Between 2014 and 2018, vaccination improvements among all 46 groups (7 pilot, 39 in subsequent cohorts) resulted in an estimated 5.5 million adult vaccinations administered or documented in 27 states. Mary Ann Liebert, Inc., publishers 2020-12-01 2020-11-26 /pmc/articles/PMC7703232/ /pubmed/31930932 http://dx.doi.org/10.1089/pop.2019.0169 Text en © Elizabeth L. Ciemins et al. 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited.
spellingShingle Original Articles
Ciemins, Elizabeth L.
Jerry, Michelle
Powelson, Jill
Leaver-Schmidt, Erin
Joshi, Vaishali
Chambers, Earlean
Casanova, Danielle
Kennedy, John W.
Penso, Jerry
An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread
title An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread
title_full An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread
title_fullStr An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread
title_full_unstemmed An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread
title_short An Adult Immunization Best Practices Learning Collaborative: Impact, Scale Up, and Spread
title_sort adult immunization best practices learning collaborative: impact, scale up, and spread
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703232/
https://www.ncbi.nlm.nih.gov/pubmed/31930932
http://dx.doi.org/10.1089/pop.2019.0169
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