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Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital

Background: Pregnancy is a risk factor for severe influenza and related complications. The vaccination has been recommended in healthcare workers as a strategy for preventing influenza in risk patients. The aim of this study was to analyze the influenza vaccination rate of the department of obstetri...

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Autores principales: Dass von Perbandt, Evelyn, Hornung, René, Thanner, Mirjam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: German Medical Science GMS Publishing House 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301741/
https://www.ncbi.nlm.nih.gov/pubmed/30671333
http://dx.doi.org/10.3205/id000037
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author Dass von Perbandt, Evelyn
Hornung, René
Thanner, Mirjam
author_facet Dass von Perbandt, Evelyn
Hornung, René
Thanner, Mirjam
author_sort Dass von Perbandt, Evelyn
collection PubMed
description Background: Pregnancy is a risk factor for severe influenza and related complications. The vaccination has been recommended in healthcare workers as a strategy for preventing influenza in risk patients. The aim of this study was to analyze the influenza vaccination rate of the department of obstetrics and gynaecology of the Cantonal hospital St. Gallen in Switzerland. Methods: A cross-sectional study was carried out to investigate the influenza vaccination rates of all staff members of the Department of obstetrics and gynaecology (n=259). The vaccination coverage was compared according to sociodemographic variables using Chi-squared test. Associations were determined using a logistic regression model. Possible reasons for and against vaccination coverage were then investigated. Results: 200 questionnaires were included (valid response rate 77%). 15% reported being vaccinated against influenza (n=29). Reasons to be vaccinated are the belief of protection of patients (82%), oneself (75%) or family (61%). Reasons not to get vaccinated, including beliefs regarding the vaccine is not important (49%) and its ineffectiveness (44%). In the logistic regression analysis, the vaccination coverage among doctors (61% vaccinated) and nurses/midwives (4% vaccinated) is different from the vaccination coverage among the non-medical staff reference category (16% vaccinated; p=0.004, p=0.027), after controlling for the effect of other variables sex (p=0.807), age (p=0.438) and full time employment (p=0.298). Discussion: This study showed that doctors have a higher vaccination rate compared to other job roles, whereas the nurses and midwives had very low vaccination rates, which indicate a significant public health communication gap that needs to be addressed.
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spelling pubmed-63017412019-01-22 Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital Dass von Perbandt, Evelyn Hornung, René Thanner, Mirjam GMS Infect Dis Article Background: Pregnancy is a risk factor for severe influenza and related complications. The vaccination has been recommended in healthcare workers as a strategy for preventing influenza in risk patients. The aim of this study was to analyze the influenza vaccination rate of the department of obstetrics and gynaecology of the Cantonal hospital St. Gallen in Switzerland. Methods: A cross-sectional study was carried out to investigate the influenza vaccination rates of all staff members of the Department of obstetrics and gynaecology (n=259). The vaccination coverage was compared according to sociodemographic variables using Chi-squared test. Associations were determined using a logistic regression model. Possible reasons for and against vaccination coverage were then investigated. Results: 200 questionnaires were included (valid response rate 77%). 15% reported being vaccinated against influenza (n=29). Reasons to be vaccinated are the belief of protection of patients (82%), oneself (75%) or family (61%). Reasons not to get vaccinated, including beliefs regarding the vaccine is not important (49%) and its ineffectiveness (44%). In the logistic regression analysis, the vaccination coverage among doctors (61% vaccinated) and nurses/midwives (4% vaccinated) is different from the vaccination coverage among the non-medical staff reference category (16% vaccinated; p=0.004, p=0.027), after controlling for the effect of other variables sex (p=0.807), age (p=0.438) and full time employment (p=0.298). Discussion: This study showed that doctors have a higher vaccination rate compared to other job roles, whereas the nurses and midwives had very low vaccination rates, which indicate a significant public health communication gap that needs to be addressed. German Medical Science GMS Publishing House 2018-02-23 /pmc/articles/PMC6301741/ /pubmed/30671333 http://dx.doi.org/10.3205/id000037 Text en Copyright © 2018 Dass von Perbandt et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Dass von Perbandt, Evelyn
Hornung, René
Thanner, Mirjam
Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital
title Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital
title_full Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital
title_fullStr Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital
title_full_unstemmed Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital
title_short Influenza vaccination coverage of health care workers: a cross-sectional study based on data from a Swiss gynaecological hospital
title_sort influenza vaccination coverage of health care workers: a cross-sectional study based on data from a swiss gynaecological hospital
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301741/
https://www.ncbi.nlm.nih.gov/pubmed/30671333
http://dx.doi.org/10.3205/id000037
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