• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Using classification and regression tree analysis to explore parental influenza vaccine decisions

tetano

Editor, Senior Moderator
Vaccine. 2019 Dec 2. pii: S0264-410X(19)31568-3. doi: 10.1016/j.vaccine.2019.11.039. [Epub ahead of print] [h=1]Using classification and regression tree analysis to explore parental influenza vaccine decisions.[/h]
Lama Y[SUP]1[/SUP], Hancock GR[SUP]2[/SUP], Freimuth VS[SUP]3[/SUP], Jamison AM[SUP]4[/SUP], Quinn SC[SUP]5[/SUP].
[h=3]Author information[/h] 1 Department of Family Science, University of Maryland, College Park, MD, United States. Electronic address: lamay@terpmail.umd.edu. 2 Department of Human Development and Quantitative Methods, University of Maryland, College Park, MD, United States. 3 Center for Health and Risk Communication (Emeritus), University of Georgia, Athens, GA, United States. 4 Center for Health Equity, University of Maryland, College Park, MD, United States. 5 Department of Family Science, University of Maryland, College Park, MD, United States; Center for Health Equity, University of Maryland, College Park, MD, United States.

[h=3]Abstract[/h] [h=4]BACKGROUND AND OBJECTIVES:[/h] Influenza poses a public health threat for children and adults. The CDC recommends annual influenza vaccination for children <18 years, yet vaccine uptake remains low for children (57.9%) and adults (37.1%). Given that parental decision-making is key in childhood vaccine uptake, there is a critical need to understand vaccine hesitancy among parents who decide not to vaccinate their children. This study aims to explore predictors of children's influenza vaccine status given parental vaccination status and examine the factors that contribute to concordance or discordance between parental and children's vaccine uptake.
[h=4]METHODS:[/h] Classification and regression tree (CART) analyses were used to identify drivers of parental decisions to vaccinate their children against influenza. Hierarchy and interactions of these variables in predicting children's vaccination status were explored.
[h=4]RESULTS:[/h] From a nationally representative sample of non-Hispanic Black and White parents who completed an online survey (n = 328), the main factors influencing parents' decisions to vaccinate their children were vaccine behavior following physician recommendation, knowledge of influenza recommendations for children, influenza vaccine confidence and disease risk. Among unvaccinated parents, the greatest concordance was observed among parents who usually do not get vaccinated following physician recommendation and had lower knowledge of recommendations for influenza vaccination for children. The greatest discordance was observed among unvaccinated parents who had lower hesitancy about recommended vaccines.
[h=4]CONCLUSIONS:[/h] Understanding drivers of parental decisions to vaccinate themselves and their children can provide insights on health communication and provider approaches to increase influenza vaccine coverage and prevent influenza related mortality.
Copyright ? 2019 Elsevier Ltd. All rights reserved.


[h=4]KEYWORDS:[/h] Child health; Influenza; Influenza vaccination; Vaccine decision-making

PMID: 31806534 DOI: 10.1016/j.vaccine.2019.11.039
 
Back
Top Bottom