title: Elements of influenza vaccination programs that predict higher vaccination rates: results of an emerging infections network survey.
abstract: BACKGROUND
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City 52242, USA. philip-polgreen@uiowa.edu
authors.forename: Philip M
authors.initials: PM
authors.lastname: Polgreen
authors.forename: YiYi
authors.initials: Y
authors.lastname: Chen
authors.forename: Susan
authors.initials: S
authors.lastname: Beekmann
authors.forename: Arjun
authors.initials: A
authors.lastname: Srinivasan
authors.forename: Marguerite A
authors.initials: MA
authors.lastname: Neill
authors.forename: Ted
authors.initials: T
authors.lastname: Gay
authors.forename: Joseph E
authors.initials: JE
authors.lastname: Cavanaugh
mesh_terms: D021821:Communicable Diseases, Emerging / Q000191:economics / Q000517:prevention & control* / Q000821:virology; D003625:Data Collection; D019983:Guideline Adherence; D006801:Humans; D017589:Immunization Programs / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D007252:Influenza Vaccines / Q000008:administration & dosage*; D007251:Influenza, Human / Q000191:economics / Q000517:prevention & control* / Q000821:virology; D032541:Mass Vaccination / Q000379:methods; D014481:United States
chemical_list: D007252:Influenza Vaccines