Evidence map›Paper›PMID 33431259›Full record

ArticleResearch in social & administrative pharmacy : RSAP2021

Will they, or Won't they? Examining patients' vaccine intention for flu and COVID-19 using the Health Belief Model.

Amanda R Mercadante, Anandi V Law

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06229444 (Predict + Protect), which is not on this map. Cited by 149 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 6 pooled it
21.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06229444 nacompletednot on this mapstarted 2024, after this paper: background citation

Predict + Protect: A Randomized Controlled Trial Exploring the Effectiveness of a Predictive Health Education Intervention on the Adoption of Protective Behaviors Related to Influenza-like Illness (ILI)

TypeinterventionalSponsorEvidation HealthRan2024 to 2024Enrolled17,043ConditionsInfluenza, Influenza A, Influenza B, COVID-19ArmsILI Predictive Alerts, Reactive Content, and Proactive Content, ILI Predictive Alerts, Reactive Content, Proactive Content, No Intervention
3 · Its place in the literature

Who cites it

149 citing papers in PubMed, 6 syntheses or guidelines pooled it, 246 citations in OpenAlex.

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  3. Implications for COVID-19 vaccine uptake: A systematic review.Journal of infection and public health · 2023
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  10. A Cross-Sectional Study Examining Vaccine Uptake and Attitudes Among Parents Compared to Other Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2026
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Amanda R MercadanteWestern University of Health Sciences College of Pharmacy, United States.
Anandi V LawWestern University of Health Sciences College of Pharmacy, United States. Electronic address: alaw@westernu.edu.
Western University of Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe twindemic of influenza and COVID-19 places pharmacists in a position of high-impact to inform and manage vaccination uptake. Given prior vaccine hesitancy in the US and the current high impact of COVID-19 on the population, it is imperative to understand and address factors that drive perceptions and intention to get vaccinated.

objectivesThe objectives of the study were to 1) determine impact of the COVID-19 pandemic on influenza vaccine uptake, on patient perceptions of vaccinations, vaccine intention, and health behaviors and 2) determine vaccine intention through the Health Belief Model.

methodsAn IRB-approved prospective Qualtrics-based survey was administered online to eligible respondents: non-pregnant panel respondents 18 years or older within the United States who could independently complete the entire questionnaire in English. Data analyses included descriptive statistics, psychometric analyses of the 5C and CoBQ tools, one-way ANOVA to compare demographic groups and vaccine intention items with survey scores, and mapping and path analysis of the HBM with one added domain (Decision Making Determinant, DMD).

results525 respondents completed the survey from October 23-29, 2020. Respondents aged 18-49, making less than $20,000 or an undisclosed income, and not having anyone close to them directly affected by COVID-19 showed a significant, negative impact of COVID-19 on health behavior and a significantly lower vaccine acceptance. The 5C and CoBQ showed moderately strong reliability. Mapping for the HBM revealed significant correlations between all modifying factors with Individual Perceptions except for Race/Ethnicity. Of the Individual Perceptions, Perceived Benefits (-.114) and Perceived Barriers (.307) significantly predicted DMD and directly impacted Vaccine Intention. DMD was not a significant mediator of Vaccination Intention.

conclusionsVaccination messaging should focus on a simple yet balanced view of benefits and risks, targeting those under age 50 and living in low-income households, to motivate uptake of influenza and COVID-19 vaccines.

Indexed as

COVID-19Influenza, HumanCOVID-19 VaccinesHealth Belief ModelHumansIntentionMiddle AgedPandemicsProspective StudiesReproducibility of ResultsSARS-CoV-2United StatesVaccinationCOVID-19 Vaccines

Identifiers

PMID33431259
PMCPMC7833824
OpenAlexW3117969689

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.