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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jan 3, 2024
Date Accepted: Jul 30, 2024

The final, peer-reviewed published version of this preprint can be found here:

Identifying Population Segments by Differing Levels of COVID-19 Vaccine Confidence and Evaluating Subsequent Uptake of COVID-19 Prevention Behaviors: Web-Based, Longitudinal, Probability-Based Panel Survey

Luchman J, Bennett M, Kranzler E, Tuskeviciute R, Vega R, Denison B, Trigger S, Nighbor T, Vines M, Hoffman L

Identifying Population Segments by Differing Levels of COVID-19 Vaccine Confidence and Evaluating Subsequent Uptake of COVID-19 Prevention Behaviors: Web-Based, Longitudinal, Probability-Based Panel Survey

JMIR Public Health Surveill 2024;10:e56044

DOI: 10.2196/56044

PMID: 39255032

PMCID: 11422724

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Confidents, Waiters, and Non-Intenders: Estimating and Validating a Segmentation Analysis of COVID-19 Attitudes, Beliefs, and Behaviors in Early 2021

  • Joseph Luchman; 
  • Morgane Bennett; 
  • Elissa Kranzler; 
  • Rugile Tuskeviciute; 
  • Ronald Vega; 
  • Benjamin Denison; 
  • Sarah Trigger; 
  • Tyler Nighbor; 
  • Monica Vines; 
  • Leah Hoffman

ABSTRACT

Background:

Background:

The COVID-19 pandemic prompted the launch of the ANONYMIZED national campaign to boost vaccine confidence and uptake among adults, as vaccines are key to preventing severe illness and death.

Objective:

Past segmentation research relevant to COVID-19 behavior has found important differences in attitudes, sociodemographics, and subsequent COVID-19 prevention behaviors across population segments. This study extends prior work by incorporating a more comprehensive set of attitudes, behaviors, and sociodemographic variables to identify population segments by differing levels of COVID-19 vaccine confidence and evaluate differences in their subsequent uptake of COVID-19 prevention behaviors.

Methods:

Data were obtained from five waves of a longitudinal, probability-based panel of U.S. adults (N = 4,398). Latent class cluster analysis estimated segments of respondents based on over 40 COVID-19 attitudes, beliefs, behaviors, and sociodemographics as reported in Wave 1. Survey-weighted cross-tabulations and bivariate regression analyses assessed differences in COVID-19 vaccine uptake, booster uptake, mask use, and social distancing in all segments across all five survey waves.

Results:

Six segments (Hardline Non-Intenders, Prevention-Compliant Non-Intenders, Burned-Out Waiters, Anxious Waiters, Skeptical Confidents, Ready Confidents) were identified that differed by their COVID-19 vaccine confidence, prevention-related attitudes and behaviors, and sociodemographics. Cross-tabulations and regression results indicated significant segment membership differences in COVID-19 vaccine and booster timing, mask use, and social distancing. Results from survey-weighted cross-tabulations comparing COVID-19 vaccine and booster uptake across segments indicate statistically significant differences in these outcomes across the six segments (P < .001). Results were statistically significant for each segment (P < .01 for booster uptake among Burned-Out Waiters; P < .001 for all other coefficients), indicating that, on average, respondents in segments with lower intentions to vaccinate reported later receipt of COVID-19 vaccines and boosters relative to the timing of vaccine and booster uptake among Ready Confidents.

Conclusions:

Results extend previous research by showing that initial beliefs and behaviors relevant to COVID-19 vaccination, mask use, and social distancing are important for understanding differences in subsequent compliance with recommended COVID-19 prevention measures. Results highlight the utility of a comprehensive list of attitudes, behaviors, and other individual-level characteristics that can serve as a basis for future segmentation efforts relevant to COVID-19 and other infectious diseases.


 Citation

Please cite as:

Luchman J, Bennett M, Kranzler E, Tuskeviciute R, Vega R, Denison B, Trigger S, Nighbor T, Vines M, Hoffman L

Identifying Population Segments by Differing Levels of COVID-19 Vaccine Confidence and Evaluating Subsequent Uptake of COVID-19 Prevention Behaviors: Web-Based, Longitudinal, Probability-Based Panel Survey

JMIR Public Health Surveill 2024;10:e56044

DOI: 10.2196/56044

PMID: 39255032

PMCID: 11422724

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