Evidence map›Paper›PMID 33532802›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Integrating Operant and Cognitive Behavioral Economics to Inform Infectious Disease Response: Prevention, Testing, and Vaccination in the COVID-19 Pandemic.

Justin C Strickland, Derek D Reed, Steven R Hursh, Lindsay P Schwartz, Rachel N S Foster, Brett W Gelino, Robert S LeComte, Fernanda S Oda, Allyson R Salzer, Tadd D Schneider and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. 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

5 · Who and what money

Authors and funding

13 authors.

Justin C StricklandDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, US.
Derek D ReedDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Steven R HurshApplied Behavioral Biology Unit, Institutes for Behavior Resources, Baltimore, MD USA.
Lindsay P SchwartzApplied Behavioral Biology Unit, Institutes for Behavior Resources, Baltimore, MD USA.
Rachel N S FosterDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Brett W GelinoDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Robert S LeComteDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Fernanda S OdaDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Allyson R SalzerDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Tadd D SchneiderDepartment of Applied Behavioral Science, University of Kansas, Lawrence, KS, USA.
Lauren DaytonDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, US.
Carl LatkinDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, US.
Matthew W JohnsonDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, US.

Funding

HUMAN BEHAVIORAL PHARMACOLOGY OF SUBSTANCE ABUSET32DA007209 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Eric C. Strain, Elise M Weerts · 1985 to 2026
$12.9M
Dose effects of nicotine: Behavioral economics of cigarette abuse liabilityR01DA042527 · NIDA · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, MATTHEW WAYNE · 2016 to 2018
$2.1M
NIDA NIH HHS R01 DA042527NIDA NIH HHS T32 DA007209
6 · The paper itself

Abstract

The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Yet, many areas of psychological and behavioral science are limited in the ability to mobilize to address exponential spread or provide easily translatable findings for policymakers. Here we describe how integrating methods from operant and cognitive approaches to behavioral economics can provide robust policy relevant data. Adapting well validated methods from behavioral economic discounting and demand frameworks, we evaluate in four crowdsourced samples (total N = 1,366) behavioral mechanisms underlying engagement in preventive health behaviors. We find that people are more likely to social distance when specified activities are framed as high risk, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.

Indexed as

behavioral economicsCOVID-19demanddiscountingpublic policy

Identifiers

PMID33532802
PMCPMC7852253

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.