OBJECTIVE: Although pregnant women are a high-priority group for influenza vaccination, vaccination rates in this population remain below recommended levels. This prospective cohort study followed a group of pregnant women during the 2010-2011 influenza season to determine possible predictors of vaccination. METHODS: Participants were 552 pregnant women who had not already received the influenza vaccine at the time of enrollment. Women completed a survey assessing knowledge, attitudes, and beliefs about vaccination (based on the Health Belief Model) by telephone and were then followed to determine vaccination status by the end of the 2010-2011 influenza season. RESULTS: Forty-six percent (n=252) of the women were vaccinated, and 54% (n=300) remained unvaccinated after enrollment in the study. Few baseline characteristics, with the exception of study site, month of enrollment, and maternal ethnicity, were predictive of vaccination status. Even after adjusting for significant baseline characteristics, we found that at least one item from each domain of the Health Beliefs Model was predictive of subsequent vaccination. Specifically, women who perceived they were susceptible to influenza, that they were at risk of getting seriously ill from influenza, that they would regret not getting vaccinated, and who trusted recommended guidelines about influenza vaccination during pregnancy were more likely to get vaccinated. Women who were concerned about vaccine side effects were less likely to get vaccinated. CONCLUSION: Trust in recommendations, perceived susceptibility to and seriousness of influenza, perceived regret about not getting vaccinated, and vaccine safety concerns predict vaccination in pregnant women. LEVEL OF EVIDENCE: II.
OBJECTIVE: Although pregnant women are a high-priority group for influenza vaccination, vaccination rates in this population remain below recommended levels. This prospective cohort study followed a group of pregnant women during the 2010-2011 influenza season to determine possible predictors of vaccination. METHODS:Participants were 552 pregnant women who had not already received the influenza vaccine at the time of enrollment. Women completed a survey assessing knowledge, attitudes, and beliefs about vaccination (based on the Health Belief Model) by telephone and were then followed to determine vaccination status by the end of the 2010-2011 influenza season. RESULTS: Forty-six percent (n=252) of the women were vaccinated, and 54% (n=300) remained unvaccinated after enrollment in the study. Few baseline characteristics, with the exception of study site, month of enrollment, and maternal ethnicity, were predictive of vaccination status. Even after adjusting for significant baseline characteristics, we found that at least one item from each domain of the Health Beliefs Model was predictive of subsequent vaccination. Specifically, women who perceived they were susceptible to influenza, that they were at risk of getting seriously ill from influenza, that they would regret not getting vaccinated, and who trusted recommended guidelines about influenza vaccination during pregnancy were more likely to get vaccinated. Women who were concerned about vaccine side effects were less likely to get vaccinated. CONCLUSION: Trust in recommendations, perceived susceptibility to and seriousness of influenza, perceived regret about not getting vaccinated, and vaccine safety concerns predict vaccination in pregnant women. LEVEL OF EVIDENCE: II.
Authors: Michelle L Henninger; Stephanie A Irving; Mark Thompson; Lyndsay Ammon Avalos; Sarah W Ball; Pat Shifflett; Allison L Naleway Journal: J Womens Health (Larchmt) Date: 2015-04-15 Impact factor: 2.681
Authors: Amanda F Dempsey; Sarah E Brewer; Carter Sevick; Jennifer Pyrzanowski; Sara Mazzoni; Sean T O'Leary Journal: Hum Vaccin Immunother Date: 2015-10-02 Impact factor: 3.452
Authors: Allison T Chamberlain; Katherine Seib; Kevin A Ault; Eli S Rosenberg; Paula M Frew; Marielysse Cortes; Ellen A S Whitney; Ruth L Berkelman; Walter A Orenstein; Saad B Omer Journal: Hum Vaccin Immunother Date: 2016-04-15 Impact factor: 3.452
Authors: Allison L Naleway; Stephanie A Irving; Michelle L Henninger; De-Kun Li; Pat Shifflett; Sarah Ball; Jennifer L Williams; Janet Cragan; Julianne Gee; Mark G Thompson Journal: Vaccine Date: 2014-04-14 Impact factor: 3.641
Authors: Kenneth Goodman; Sherif B Mossad; Glen B Taksler; Jonathan Emery; Sarah Schramm; Michael B Rothberg Journal: J Reprod Med Date: 2015 Nov-Dec Impact factor: 0.142