Elements of Influenza Vaccination Programs That Predict Higher Vaccination Rates: Results of an Emerging Infections Network Survey
Introduction. To address suboptimal influenza vaccination rates among health care workers, the Healthcare Infection Control Practices Advisory Committee and the Advisory Committee on Immunization Practices recently issued recommendations designed to increase the number of health care workers vaccina...
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| Veröffentlicht in: | Clinical infectious diseases 2008-01, Vol.46 (1), p.14-19 |
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| creator | Polgreen, Philip M. Chen, YiYi Beekmann, Susan Srinivasan, Arjun Neill, Marguerite A. Gay, Ted Cavanaugh, Joseph E. |
| description | Introduction. To address suboptimal influenza vaccination rates among health care workers, the Healthcare Infection Control Practices Advisory Committee and the Advisory Committee on Immunization Practices recently issued recommendations designed to increase the number of health care workers vaccinated against influenza. The purpose of the present study was to determine how widely these recommendations have been implemented and to identify important elements of successful influenza vaccine programs. Methods. The Infectious Diseases Society of America Emerging Infections Network surveyed 991 infectious diseases consultants. Infectious diseases consultants were asked about vaccination programs and vaccination rates at their respective institutions. Multinomial logistic regression models based on proportional odds were used to determine predictors of vaccination‐rate categories. All program elements were significant univariable factors in predicting vaccination rates. Because the program elements were highly associated with one another, principal components analysis was used to find combinations of the covariates that would serve as optimal predictors of higher vaccination rates. Results. Most infectious diseases consultants indicated that the vaccination rate for all health care workers in their institution had a range of 41%–60%. Vaccination rates were significantly higher in institutions that required signed declination statements (P=.004). In the model based on principal components analysis for predicting institutional vaccination rates, only the first principal component warranted retention (P |
| doi_str_mv | 10.1086/523586 |
| format | Article |
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To address suboptimal influenza vaccination rates among health care workers, the Healthcare Infection Control Practices Advisory Committee and the Advisory Committee on Immunization Practices recently issued recommendations designed to increase the number of health care workers vaccinated against influenza. The purpose of the present study was to determine how widely these recommendations have been implemented and to identify important elements of successful influenza vaccine programs. Methods. The Infectious Diseases Society of America Emerging Infections Network surveyed 991 infectious diseases consultants. Infectious diseases consultants were asked about vaccination programs and vaccination rates at their respective institutions. Multinomial logistic regression models based on proportional odds were used to determine predictors of vaccination‐rate categories. All program elements were significant univariable factors in predicting vaccination rates. Because the program elements were highly associated with one another, principal components analysis was used to find combinations of the covariates that would serve as optimal predictors of higher vaccination rates. Results. Most infectious diseases consultants indicated that the vaccination rate for all health care workers in their institution had a range of 41%–60%. Vaccination rates were significantly higher in institutions that required signed declination statements (P=.004). In the model based on principal components analysis for predicting institutional vaccination rates, only the first principal component warranted retention (P<.001). In this component, the program elements weighted the most heavily were (1) offering the influenza vaccine free of charge, (2) providing adequate staff and resources, and (3) educating targeted groups of health care workers. Requiring signed declinations was not heavily weighted. Conclusion. Influenza vaccination rates remain suboptimal, and hospitals have not completely implemented the Healthcare Infection Control Practices Advisory Committee—Advisory Committee on Immunization Practices recommendations to maximize vaccination rates.</description><identifier>ISSN: 1058-4838</identifier><identifier>EISSN: 1537-6591</identifier><identifier>DOI: 10.1086/523586</identifier><identifier>PMID: 18171207</identifier><identifier>CODEN: CIDIEL</identifier><language>eng</language><publisher>Chicago, IL: The University of Chicago Press</publisher><subject>Articles and Commentaries ; Biological and medical sciences ; Communicable Diseases, Emerging - economics ; Communicable Diseases, Emerging - prevention & control ; Communicable Diseases, Emerging - virology ; Data Collection ; Declination ; Epidemiology ; Guideline Adherence ; Health care ; Health care industry ; Hospitals ; Human viral diseases ; Humans ; Immunization ; Immunization Programs - economics ; Immunization Programs - methods ; Immunization Programs - statistics & numerical data ; Infection control ; Infectious diseases ; Influenza ; Influenza vaccines ; Influenza Vaccines - administration & dosage ; Influenza, Human - economics ; Influenza, Human - prevention & control ; Influenza, Human - virology ; Mass Vaccination - methods ; Medical personnel ; Medical sciences ; Polls & surveys ; Recommendations ; Regression analysis ; Studies ; United States ; Vaccination ; Vaccines ; Viral diseases ; Viral diseases of the respiratory system and ent viral diseases</subject><ispartof>Clinical infectious diseases, 2008-01, Vol.46 (1), p.14-19</ispartof><rights>Copyright 2007 Infectious Diseases Society of America</rights><rights>2008 by the Infectious Diseases Society of America 2008</rights><rights>2008 INIST-CNRS</rights><rights>Copyright University of Chicago, acting through its Press Jan 1, 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-af2a627fccfb6b7a33d129a1a1cacb8c69b94212317a640aff34d105ea52a65b3</citedby><cites>FETCH-LOGICAL-c483t-af2a627fccfb6b7a33d129a1a1cacb8c69b94212317a640aff34d105ea52a65b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40306831$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40306831$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,4023,27922,27923,27924,58016,58249</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19939502$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18171207$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Polgreen, Philip M.</creatorcontrib><creatorcontrib>Chen, YiYi</creatorcontrib><creatorcontrib>Beekmann, Susan</creatorcontrib><creatorcontrib>Srinivasan, Arjun</creatorcontrib><creatorcontrib>Neill, Marguerite A.</creatorcontrib><creatorcontrib>Gay, Ted</creatorcontrib><creatorcontrib>Cavanaugh, Joseph E.</creatorcontrib><creatorcontrib>Infectious Diseases Society of America's Emerging Infections Network</creatorcontrib><creatorcontrib>for the members of the Infectious Diseases Society of America's Emerging Infections Network</creatorcontrib><title>Elements of Influenza Vaccination Programs That Predict Higher Vaccination Rates: Results of an Emerging Infections Network Survey</title><title>Clinical infectious diseases</title><addtitle>Clinical Infectious Diseases</addtitle><addtitle>Clinical Infectious Diseases</addtitle><description>Introduction. To address suboptimal influenza vaccination rates among health care workers, the Healthcare Infection Control Practices Advisory Committee and the Advisory Committee on Immunization Practices recently issued recommendations designed to increase the number of health care workers vaccinated against influenza. The purpose of the present study was to determine how widely these recommendations have been implemented and to identify important elements of successful influenza vaccine programs. Methods. The Infectious Diseases Society of America Emerging Infections Network surveyed 991 infectious diseases consultants. Infectious diseases consultants were asked about vaccination programs and vaccination rates at their respective institutions. Multinomial logistic regression models based on proportional odds were used to determine predictors of vaccination‐rate categories. All program elements were significant univariable factors in predicting vaccination rates. Because the program elements were highly associated with one another, principal components analysis was used to find combinations of the covariates that would serve as optimal predictors of higher vaccination rates. Results. Most infectious diseases consultants indicated that the vaccination rate for all health care workers in their institution had a range of 41%–60%. Vaccination rates were significantly higher in institutions that required signed declination statements (P=.004). In the model based on principal components analysis for predicting institutional vaccination rates, only the first principal component warranted retention (P<.001). In this component, the program elements weighted the most heavily were (1) offering the influenza vaccine free of charge, (2) providing adequate staff and resources, and (3) educating targeted groups of health care workers. Requiring signed declinations was not heavily weighted. Conclusion. 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To address suboptimal influenza vaccination rates among health care workers, the Healthcare Infection Control Practices Advisory Committee and the Advisory Committee on Immunization Practices recently issued recommendations designed to increase the number of health care workers vaccinated against influenza. The purpose of the present study was to determine how widely these recommendations have been implemented and to identify important elements of successful influenza vaccine programs. Methods. The Infectious Diseases Society of America Emerging Infections Network surveyed 991 infectious diseases consultants. Infectious diseases consultants were asked about vaccination programs and vaccination rates at their respective institutions. Multinomial logistic regression models based on proportional odds were used to determine predictors of vaccination‐rate categories. All program elements were significant univariable factors in predicting vaccination rates. Because the program elements were highly associated with one another, principal components analysis was used to find combinations of the covariates that would serve as optimal predictors of higher vaccination rates. Results. Most infectious diseases consultants indicated that the vaccination rate for all health care workers in their institution had a range of 41%–60%. Vaccination rates were significantly higher in institutions that required signed declination statements (P=.004). In the model based on principal components analysis for predicting institutional vaccination rates, only the first principal component warranted retention (P<.001). In this component, the program elements weighted the most heavily were (1) offering the influenza vaccine free of charge, (2) providing adequate staff and resources, and (3) educating targeted groups of health care workers. Requiring signed declinations was not heavily weighted. Conclusion. Influenza vaccination rates remain suboptimal, and hospitals have not completely implemented the Healthcare Infection Control Practices Advisory Committee—Advisory Committee on Immunization Practices recommendations to maximize vaccination rates.</abstract><cop>Chicago, IL</cop><pub>The University of Chicago Press</pub><pmid>18171207</pmid><doi>10.1086/523586</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Articles and Commentaries Biological and medical sciences Communicable Diseases, Emerging - economics Communicable Diseases, Emerging - prevention & control Communicable Diseases, Emerging - virology Data Collection Declination Epidemiology Guideline Adherence Health care Health care industry Hospitals Human viral diseases Humans Immunization Immunization Programs - economics Immunization Programs - methods Immunization Programs - statistics & numerical data Infection control Infectious diseases Influenza Influenza vaccines Influenza Vaccines - administration & dosage Influenza, Human - economics Influenza, Human - prevention & control Influenza, Human - virology Mass Vaccination - methods Medical personnel Medical sciences Polls & surveys Recommendations Regression analysis Studies United States Vaccination Vaccines Viral diseases Viral diseases of the respiratory system and ent viral diseases |
| title | Elements of Influenza Vaccination Programs That Predict Higher Vaccination Rates: Results of an Emerging Infections Network Survey |
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