Evidence map›Paper›PMID 38449769›Full record

ArticlePublic health in practice (Oxford, England)2024

Do some prefer to pay? Identifying bias against free COVID-19 tests.

Yeonsoo Baik, Cedric H Bien-Gund, Gregory P Bisson, Robert Gross, Jessica Fishman

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yeonsoo BaikUniversity of Pennsylvania, Perelman School of Medicine, Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, PA, USA.
Cedric H Bien-GundUniversity of Pennsylvania, Perelman School of Medicine, Department of Medicine, Philadelphia, PA, USA.
Gregory P BissonUniversity of Pennsylvania, Perelman School of Medicine, Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, PA, USA.
Robert GrossUniversity of Pennsylvania, Perelman School of Medicine, Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, PA, USA.
Jessica FishmanUniversity of Pennsylvania, Annenberg School for Communication, Message Effects Lab, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In the United States, a federal emergency program has made SARS-CoV-2 self-test kits available at no cost. It is unclear how widely free tests are preferred. We conducted a survey to estimate the proportion of respondents who do not prefer a free test. We hypothesized that free tests would not be preferred universally, and that a preference for paying would be more common among those with conservative politics than with liberal politics, regardless of income. Design: Observational study design. Methods: A national sample of US adults completed an online survey. To reduce potential enrollment bias, the survey's focus was not specified beforehand. To prioritize a high-risk group, participation was limited to those who were unvaccinated or were incompletely vaccinated in the primary series against COVID-19. Participants reported their testing preferences and socio-demographic characteristics, including political affiliation. The main outcome assessed if a participant preferred to pay for a self-test or receive a free one (subsidized by the US government). Results: Among 1215 participants, (73%, n = 886) preferred free self-testing, while 27% (n = 329) preferred to pay for the same testing. After adjusting for income, the odds of preferring to pay for self-testing were 66% higher in "strong" Republicans compared to "strong" Democrats (odds ratio = 1.66, 95% confidence interval = 1.07-2.62). Conclusions: More than a quarter of individuals preferred paying for these tests. This preference was more likely among those with right-wing politics. Policy implications are discussed, along with future research directions.

Indexed as

Behavioral economicsChoiceCOVID-19DecisionPoliticalPoliticsPreferencesPriceSelf-testing

Identifiers

PMID38449769
PMCPMC10915593

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.