Sarah A Nowak1, Andrew M Parker2, Courtney A Gidengil3, Andrea S Richardson4, Matthew M Walsh5, David P Kennedy6, Raffaele Vardavas7. 1. Larner College of Medicine at the University of Vermont, Department of Pathology and Laboratory Medicine, Burlington, VT, USA. Electronic address: Sarah.nowak@med.uvm.edu. 2. RAND Corporation, Pittsburgh, PA, USA. Electronic address: parker@rand.org. 3. RAND Corporation, Boston, MA, USA; Boston Children's Hospital, Boston, MA, USA. Electronic address: gidengil@rand.org. 4. RAND Corporation, Pittsburgh, PA, USA. Electronic address: arichard@rand.org. 5. RAND Corporation, Pittsburgh, PA, USA. Electronic address: mwalsh@rand.org. 6. RAND Corporation, Santa Monica, CA, USA. Electronic address: davidk@rand.org. 7. RAND Corporation, Santa Monica, CA, USA. Electronic address: rvardava@rand.org.
Abstract
OBJECTIVE: Our objective was to model the reciprocal relationships of perceived risk of contracting influenza with and without influenza vaccination, vaccination behavior, and reported influenza illness. METHODS: We fit structural equation models to data from a longitudinal survey of adults in the United States collected through the RAND American Life Panel. Data come from fall and spring surveys fielded before and after each of 3 influenza seasons, 2016/2017, 2017/2018, and 2018/2019, for a total of 6 waves. RESULTS: As expected, reported influenza experience was associated with increased perceived influenza risk in subsequent survey waves. Furthermore, perceived risk was associated with subsequent vaccination behavior, such that vaccination was more common for those with higher perceived unvaccinated influenza risk and lower perceived vaccinated influenza risk. Perhaps surprisingly, both elements of perceived risk were also associated with a greater likelihood of subsequent reported influenza illness. This malleability in illness reports may reflect uncertainty, as more respondents reported being sick but being unsure about whether they had influenza than reported certainty that they had influenza. CONCLUSIONS: Interventions that influence perceptions about past experience with influenza, including increased testing and informational campaigns about influenza symptoms, could have unanticipated impacts on perceptions of influenza vaccination and vaccination behavior.
OBJECTIVE: Our objective was to model the reciprocal relationships of perceived risk of contracting influenza with and without influenza vaccination, vaccination behavior, and reported influenza illness. METHODS: We fit structural equation models to data from a longitudinal survey of adults in the United States collected through the RAND American Life Panel. Data come from fall and spring surveys fielded before and after each of 3 influenza seasons, 2016/2017, 2017/2018, and 2018/2019, for a total of 6 waves. RESULTS: As expected, reported influenza experience was associated with increased perceived influenza risk in subsequent survey waves. Furthermore, perceived risk was associated with subsequent vaccination behavior, such that vaccination was more common for those with higher perceived unvaccinated influenza risk and lower perceived vaccinated influenza risk. Perhaps surprisingly, both elements of perceived risk were also associated with a greater likelihood of subsequent reported influenza illness. This malleability in illness reports may reflect uncertainty, as more respondents reported being sick but being unsure about whether they had influenza than reported certainty that they had influenza. CONCLUSIONS: Interventions that influence perceptions about past experience with influenza, including increased testing and informational campaigns about influenza symptoms, could have unanticipated impacts on perceptions of influenza vaccination and vaccination behavior.
Authors: Noel T Brewer; Gretchen B Chapman; Frederick X Gibbons; Meg Gerrard; Kevin D McCaul; Neil D Weinstein Journal: Health Psychol Date: 2007-03 Impact factor: 4.267
Authors: Jill M Ferdinands; Lauren E W Olsho; Anna A Agan; Niranjan Bhat; Ryan M Sullivan; Mark Hall; Peter M Mourani; Mark Thompson; Adrienne G Randolph Journal: J Infect Dis Date: 2014-03-26 Impact factor: 5.226