Evidence map›Paper›PMID 34853849›Full record

ArticleSouthern medical journal2021

Lower Intent to Comply with COVID-19 Public Health Recommendations Correlates to Higher Disease Burden in Following 30 Days.

Robert P Lennon, Aleksandra E Zgierska, Erin L Miller, Bethany Snyder, Aparna Keshaviah, Xindi C Hu, Hanzhi Zhou, Lauren Jodi Van Scoy

Abstract read
In one paragraph

Article in Southern medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Robert P LennonFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Aleksandra E ZgierskaFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Erin L MillerFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Bethany SnyderFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Aparna KeshaviahFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Xindi C HuFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Hanzhi ZhouFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.
Lauren Jodi Van ScoyFrom the Departments of Family and Community Medicine, Internal Medicine, and the Qualitative and Mixed Methods Core, Pennsylvania State University College of Medicine, Hershey, and Mathematica. Princeton, New Jersey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe sought to determine whether self-reported intent to comply with public health recommendations correlates with future coronavirus disease 2019 (COVID-19) disease burden.

methodsA cross-sectional, online survey of US adults, recruited by snowball sampling, from April 9 to July 12, 2020. Primary measurements were participant survey responses about their intent to comply with public health recommendations. Each participant's intent to comply was compared with his or her local COVID-19 case trajectory, measured as the 7-day rolling median percentage change in COVID-19 confirmed cases within participants' 3-digit ZIP code area, using public county-level data, 30 days after participants completed the survey.

resultsAfter applying raking techniques, the 10,650-participant sample was representative of US adults with respect to age, sex, race, and ethnicity. Intent to comply varied significantly by state and sex. Lower reported intent to comply was associated with higher COVID-19 case increases during the following 30 days. For every 3% increase in intent to comply with public health recommendations, which could be achieved by improving average compliance by a single point for a single item, we estimate a 9% reduction in new COVID-19 cases during the subsequent 30 days.

conclusionsSelf-reported intent to comply with public health recommendations may be used to predict COVID-19 disease burden. Measuring compliance intention offers an inexpensive, readily available method of predicting disease burden that can also identify populations most in need of public health education aimed at behavior change.

Indexed as

Health BehaviorPatient ComplianceAdultAgedCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Self ReportSurveys and QuestionnairesUnited States

Identifiers

PMID34853849
PMCPMC8607922

What OpenQuestion holds

Textmetadata
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.