Evidence map›Paper›PMID 32926171›Full record

ArticleHealth literacy research and practice2020

Public Intent to Comply with COVID-19 Public Health Recommendations.

Robert P Lennon, Surav M Sakya, Erin L Miller, Bethany Snyder, Tonguç Yaman, Aleksandra E Zgierska, Mack T Ruffin, Lauren Jodi Van Scoy

Abstract read
In one paragraph

Article in Health literacy research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effectiveness of cloth face masks to prevent viral spread: a meta-analysis.Journal of public health (Oxford, England) · 2024
    Pooled it
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  20. Face coverings during the pandemic?World medical & health policy · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Robert P Lennon
Surav M Sakya
Erin L Miller
Bethany Snyder
Tonguç Yaman
Aleksandra E Zgierska
Mack T Ruffin
Lauren Jodi Van Scoy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stay-at-home orders have been an essential component of coronavirus 2019 (COVID-19) management in the United States. As states start lifting these mandates to reopen the economy, voluntary public compliance with public health recommendations may significantly influence the extent of resurgence in COVID-19 infection rates. Population-level risk from reopening may therefore be predicted from public intent to comply with public health recommendations. We are conducting a global, convergent design mixed-methods survey on public knowledge, perceptions, preferred health information sources, and understanding of and intent to comply with public health recommendations. With over 9,000 completed surveys from every US state and over 70 countries worldwide, to our knowledge this is the largest pandemic messaging study to date. Although the study is still ongoing, we have conducted an analysis of 5,005 US surveys completed from April 9-15, 2020 on public intent to comply with public health recommendations and offer insights on the COVID-19 pandemic-related risk of reopening. We found marked regional differences in intent to follow key public health recommendations. Regional efforts are urgently needed to influence public behavior changes to decrease the risk of reopening, particularly in higher-risk areas with low public intent to comply with preventive health recommendations. [HLRP: Health Literacy Research and Practice. 2020;4(3):e160-e165.].

Indexed as

Attitude to HealthIntentionPublic HealthSocial BehaviorAdultBetacoronavirusCommunicationCoronavirusCoronavirus InfectionsCOVID-19FemaleGuidelines as TopicHealth Knowledge, Attitudes, PracticeHumansMaleMiddle Aged

Identifiers

PMID32926171
PMCPMC7410495

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.