Evidence map›Paper›PMID 37280023›Full record

ArticleBMJ open2023

How do psychobehavioural variables shed light on heterogeneity in COVID-19 vaccine acceptance? Evidence from United States general population surveys on a probability panel and social media.

Grace K Charles, Sofia P Braunstein, Jessica L Barker, Henry Fung, Lindsay Coome, Rohan Kumar, Vincent S Huang, Hannah Kemp, Eli Grant, Drew Bernard and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

12 authors at 4 institutions in 2 countries.

Grace K CharlesSurgo Ventures, Washington, DC, USA.
Sofia P BraunsteinSurgo Ventures, Washington, DC, USA.
Jessica L BarkerSurgo Ventures, Washington, DC, USA.ORCID 0000-0002-8369-4823
Henry FungSurgo Ventures, Washington, DC, USA.
Lindsay CoomeSurgo Ventures, Washington, DC, USA.
Rohan KumarSurgo Ventures, Washington, DC, USA.
Vincent S HuangSurgo Ventures, Washington, DC, USA.
Hannah KempSurgo Ventures, Washington, DC, USA.
Eli GrantSurgo Ventures, Washington, DC, USA.
Drew BernardFacebook, Menlo Park, California, USA.
Darren BarefootCapulet Communications, Vancouver, British Columbia, Canada.
Sema K SgaierSurgo Ventures, Washington, DC, USA semasgaier@surgohealth.com.
Aarhus University · DKJohns Hopkins University · USMenlo School · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo (1) understand what behaviours, beliefs, demographics and structural factors predict US adults' intention to get a COVID-19 vaccination, (2) identify segments of the population ('personas') who share similar factors predicting vaccination intention, (3) create a 'typing tool' to predict which persona people belong to and (4) track changes in the distribution of personas over time and across the USA.

designThree surveys: two on a probability-based household panel (NORC's AmeriSpeak) and one on Facebook.

settingThe first two surveys were conducted in January 2021 and March 2021 when the COVID-19 vaccine had just been made available in the USA. The Facebook survey ran from May 2021 to February 2022.

participantsAll participants were aged 18+ and living in the USA. OUTCOME MEASURES: In our predictive model, the outcome variable was self-reported vaccination intention (0-10 scale). In our typing tool model, the outcome variable was the five personas identified by our clustering algorithm.

resultsOnly 1% of variation in vaccination intention was explained by demographics, with about 70% explained by psychobehavioural factors. We identified five personas with distinct psychobehavioural profiles: COVID Sceptics (believe at least two COVID-19 conspiracy theories), System Distrusters (believe people of their race/ethnicity do not receive fair healthcare treatment), Cost Anxious (concerns about time and finances), Watchful (prefer to wait and see) and Enthusiasts (want to get vaccinated as soon as possible). The distribution of personas varies at the state level. Over time, we saw an increase in the proportion of personas who are less willing to get vaccinated.

conclusionsPsychobehavioural segmentation allows us to identify

Indexed as

COVID-19Social MediaAdultCOVID-19 VaccinesHumansIntentionProbabilitySelf ReportUnited StatesVaccinationCOVID-19 VaccinesCOVID-19infectious diseasespublic healthsocial medicinestatistics & research methods

Identifiers

PMID37280023
PMCPMC10255149
OpenAlexW4379598509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.