Evidence map›Paper›PMID 36805985›Full record

ArticleJournal of the experimental analysis of behavior2023

Hyperbolic modeling and assessment of hypothetical health behaviors during a viral outbreak using crowdsourced samples.

Mark J Rzeszutek, Anthony DeFulio, Hayley D Brown, Cristal Cardoso São Mateus

Abstract read
In one paragraph

Article in Journal of the experimental analysis of behavior, 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
–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

1 citing paper in PubMed.

  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

4 authors.

Mark J RzeszutekDepartment of Family and Community Medicine, University of Kentucky, Lexington, KY, USA.ORCID 0000-0003-4555-9767
Anthony DeFulioDepartment of Psychology, Western Michigan University, Kalamazoo MI, USA.ORCID 0000-0002-8211-7047
Hayley D BrownDepartment of Psychology, Western Michigan University, Kalamazoo MI, USA.ORCID 0000-0003-4476-3424
Cristal Cardoso São MateusDepartment of Psychology, Western Michigan University, Kalamazoo MI, USA.ORCID 0000-0003-4351-5189

Funding

Remote alcohol monitoring to facilitate abstinence reinforcement with an underserved populationR01AA026605 · NIAAA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KOFFARNUS, MIKHAIL NIKOLAAS · 2018 to 2022
$3.3M
NIAAA NIH HHS R01 AA026605
6 · The paper itself

Abstract

The COVID-19 pandemic provided an opportunity to investigate factors related to public response to public health measures, which could help better prepare implementation of similar measures for inevitable future pandemics. To understand individual and environmental factors that influence likelihood in engaging in personal and public health measures, three crowdsourced convenience samples from Amazon Mechanical Turk (MTurk) completed likelihood-discounting tasks of engaging in health behaviors given a variety of hypothetical viral outbreak scenarios. Experiment 1 assessed likelihood of mask wearing for a novel virus. Experiment 2 assessed vaccination likelihood based on efficacy and cost. Experiment 3 assessed likelihood of seeking health care based on number of symptoms and cost of treatment. Volume-based measures and three-dimensional modeling were used to analyze hypothetical decision making. Hypothetical public and personal health participation increased as viral fatality increased and generally followed a hyperbolic function. Public health participation was moderated by political orientation and trust in science, whereas treatment-seeking was only moderated by income. Analytic methods used in this cross-sectional study predicted population-level outcomes that occurred later in the pandemic and can be extended to various health behaviors.

Indexed as

COVID-19CrowdsourcingCross-Sectional StudiesHealth BehaviorHumansLikelihood FunctionsPandemicsbehavioral economicsdelay discountinghealth decisionsprobability discountingpublic health

Identifiers

PMID36805985
PMCPMC13178050

What OpenQuestion holds

Textmetadata
LicenceTDM
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.