Evidence map›Paper›PMID 36729484›Full record

ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2023

How people use information about changes in infections and disease prevalence.

Haesung Jung, Dolores Albarracín

Open access · hybridAbstract read
In one paragraph

Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2023. 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, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Haesung JungAnnenberg Public Policy Center, University of Pennsylvania.ORCID 0000-0001-8451-3839
Dolores AlbarracínAnnenberg Public Policy Center, University of Pennsylvania.
University of Pennsylvania · US

Funding

Digital, Community-Led, Social Action Initiative to Reduce Opioid Vulnerability and HIV/HCV in Rural Areas of the Midwest and AppalachiaDP1DA048570 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2023
$4.0M
Mining Social Media Messages for HIV Testing and Prevention CommunicationR01MH114847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2018 to 2022
$2.9M
Development and validation of regional models of HIV vulnerabilities and solutionsR01AI147487 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2022
$2.4M
NIAID NIH HHS R01 AI147487NIDA NIH HHSNIDA NIH HHS DP1 DA048570NIH HHSNIMH NIH HHS R01 MH114847
6 · The paper itself

Abstract

objectiveTo determine the influence of two representative metrics of epidemiological risk, changes in new infections, and disease prevalence, on people's risk judgments and disease-prevention behaviors.

methodFour experiments were conducted from August 2020 to May 2021. In Experiments 1 and 2, participants were exposed to information about different directions of change (upward and downward) and varying levels of prevalence of an infectious disease. In Experiments 3 and 4, participants were exposed to information about only one direction of change (upward or downward) and varying levels of prevalence. Participants reported risk judgments and intentions to engage in disease-prevention behaviors for each disease situation presented to them.

resultsWhen both the direction of change and levels of prevalence varied, risk judgments and intentions were more influenced by change (vs. prevalence) information. Participants' reliance on prevalence information to guide risk judgments increased when they were presented with only an upward or downward change, particularly for situations with worsening infections. In all cases, the effects of epidemiological information on behavioral intentions were mediated by its effects on risk judgments.

conclusionsInformation about changes in infections consistently influences people's risk judgments and drive subsequent behavioral response. The impact of prevalence information, however, is limited to situations in which changes in infections are stable, such that it affects risk judgments and behavior decisions only when changes in infections demonstrate a constant upward or downward direction. The results point to the need for public health interventions to increase the impact of prevalence information. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

IntentionPublic HealthHumansJudgmentPrevalence

Identifiers

PMID36729484
PMCPMC10213109
OpenAlexW4318914500

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.