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Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis
Introduction: Many comparisons have been made on the effect and impact of COVID-19 on influenza pandemics of history. Therefore, it is reasonable to infer that the strategies utilized by healthcare providers to improve influenza vaccination rates can similarly be applied to the administration of a C...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793539/ https://www.ncbi.nlm.nih.gov/pubmed/33437559 http://dx.doi.org/10.7759/cureus.12549 |
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author | Chin, Justin Zhou, YaQun Chen, Chijen L Lomiguen, Christine M McClelland, Suzanne Lee-Wong, Mary |
author_facet | Chin, Justin Zhou, YaQun Chen, Chijen L Lomiguen, Christine M McClelland, Suzanne Lee-Wong, Mary |
author_sort | Chin, Justin |
collection | PubMed |
description | Introduction: Many comparisons have been made on the effect and impact of COVID-19 on influenza pandemics of history. Therefore, it is reasonable to infer that the strategies utilized by healthcare providers to improve influenza vaccination rates can similarly be applied to the administration of a COVID-19 vaccine. The purpose of this study was to determine the rationale of low influenza vaccination rates in an urban allergy clinic and how to improve patient education and knowledge regarding the importance of influenza vaccination. A three-year comparison of interventions is presented as well as its application to future COVID-19 vaccinations. Methods: This study was performed at an outpatient allergy and clinical immunology practice (MSBI) with hospital affiliation in New York City, New York. A quality improvement medical committee was formed to optimize influenza vaccination rates to greater than 71% and established standardized protocols regarding patient intake workflows, vaccine counseling, and documentation. Patient records from four providers were used for this study to compare pre-and post-intervention rates. Results: 984 patients met inclusion criteria, with a normal distribution of ages (18-80), race, and sex. Average vaccination rates prior to the intervention were 9.25-13.60%. The average vaccination rate after the intervention was 91.34%. Discussion: The MSBI quality improvement study identified key areas to address in improving influenza vaccination rates. Vaccine hesitancy, public misinformation, and ambivalence surrounding vaccination with egg allergies or during a subcutaneous immunotherapy injection were all topics addressed during the 2018-2019 intervention year. Additional attention was also put toward provider education and standardization of documentation. Shared decision making and intensive education/outreach efforts are needed by physicians and patients alike to overcome vaccine hesitancy. In comparing this to upcoming COVID-19 vaccine challenges, similar barriers will likely also need to be addressed. Greater research is needed to understand patient motivations regarding hesitancy specific to the COVID-19 vaccine. Conclusion: As evidenced in the yearly battle with influenza and now the COVID-19 pandemic, it has become essential to identify and implement multi-level strategies to maximize vaccination rates, especially amid a global pandemic. With COVID-19 vaccines reaching emergency approval stages, it is important for healthcare providers to start creating workflows and strategies to address patient inquiries. The influenza vaccination quality improvement project presented here can be used as a guideline for future evaluations of COVID-19 vaccination efforts. |
format | Online Article Text |
id | pubmed-7793539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-77935392021-01-11 Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis Chin, Justin Zhou, YaQun Chen, Chijen L Lomiguen, Christine M McClelland, Suzanne Lee-Wong, Mary Cureus Family/General Practice Introduction: Many comparisons have been made on the effect and impact of COVID-19 on influenza pandemics of history. Therefore, it is reasonable to infer that the strategies utilized by healthcare providers to improve influenza vaccination rates can similarly be applied to the administration of a COVID-19 vaccine. The purpose of this study was to determine the rationale of low influenza vaccination rates in an urban allergy clinic and how to improve patient education and knowledge regarding the importance of influenza vaccination. A three-year comparison of interventions is presented as well as its application to future COVID-19 vaccinations. Methods: This study was performed at an outpatient allergy and clinical immunology practice (MSBI) with hospital affiliation in New York City, New York. A quality improvement medical committee was formed to optimize influenza vaccination rates to greater than 71% and established standardized protocols regarding patient intake workflows, vaccine counseling, and documentation. Patient records from four providers were used for this study to compare pre-and post-intervention rates. Results: 984 patients met inclusion criteria, with a normal distribution of ages (18-80), race, and sex. Average vaccination rates prior to the intervention were 9.25-13.60%. The average vaccination rate after the intervention was 91.34%. Discussion: The MSBI quality improvement study identified key areas to address in improving influenza vaccination rates. Vaccine hesitancy, public misinformation, and ambivalence surrounding vaccination with egg allergies or during a subcutaneous immunotherapy injection were all topics addressed during the 2018-2019 intervention year. Additional attention was also put toward provider education and standardization of documentation. Shared decision making and intensive education/outreach efforts are needed by physicians and patients alike to overcome vaccine hesitancy. In comparing this to upcoming COVID-19 vaccine challenges, similar barriers will likely also need to be addressed. Greater research is needed to understand patient motivations regarding hesitancy specific to the COVID-19 vaccine. Conclusion: As evidenced in the yearly battle with influenza and now the COVID-19 pandemic, it has become essential to identify and implement multi-level strategies to maximize vaccination rates, especially amid a global pandemic. With COVID-19 vaccines reaching emergency approval stages, it is important for healthcare providers to start creating workflows and strategies to address patient inquiries. The influenza vaccination quality improvement project presented here can be used as a guideline for future evaluations of COVID-19 vaccination efforts. Cureus 2021-01-07 /pmc/articles/PMC7793539/ /pubmed/33437559 http://dx.doi.org/10.7759/cureus.12549 Text en Copyright © 2021, Chin et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Family/General Practice Chin, Justin Zhou, YaQun Chen, Chijen L Lomiguen, Christine M McClelland, Suzanne Lee-Wong, Mary Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis |
title | Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis |
title_full | Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis |
title_fullStr | Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis |
title_full_unstemmed | Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis |
title_short | Influenza Vaccination Quality Improvement as a Model for COVID-19 Prophylaxis |
title_sort | influenza vaccination quality improvement as a model for covid-19 prophylaxis |
topic | Family/General Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793539/ https://www.ncbi.nlm.nih.gov/pubmed/33437559 http://dx.doi.org/10.7759/cureus.12549 |
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