Evidence map›Paper›PMID 34737373›Full record

ArticleScientific reports2021

Preferences and patterns of response to public health advice during the COVID-19 pandemic.

Oded Nov, Graham Dove, Martina Balestra, Katharine Lawrence, Devin Mann, Batia Wiesenfeld

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Oded NovTandon School of Engineering, New York University, New York, NY, USA. onov@nyu.edu.
Graham DoveTandon School of Engineering, New York University, New York, NY, USA.
Martina BalestraTandon School of Engineering, New York University, New York, NY, USA.
Katharine LawrenceGrossman School of Medicine, New York University, New York, NY, USA.
Devin MannGrossman School of Medicine, New York University, New York, NY, USA.
Batia WiesenfeldStern School of Business, New York University, New York, NY, USA.
New York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With recurring waves of the Covid-19 pandemic, a dilemma facing public health leadership is whether to provide public advice that is medically optimal (e.g., most protective against infection if followed), but unlikely to be adhered to, or advice that is less protective but is more likely to be followed. To provide insight about this dilemma, we examined and quantified public perceptions about the tradeoff between (a) the stand-alone value of health behavior advice, and (b) the advice's adherence likelihood. In a series of studies about preference for public health leadership advice, we asked 1061 participants to choose between (5) strict advice that is medically optimal if adhered to but which is less likely to be broadly followed, and (2) relaxed advice, which is less medically effective but more likely to gain adherence-given varying infection expectancies. Participants' preference was consistent with risk aversion. Offering an informed choice alternative that shifts volition to advice recipients only strengthened risk aversion, but also demonstrated that informed choice was preferred as much or more than the risk-averse strict advice.

Indexed as

AdolescentAdultAgedCOVID-19FemaleGuideline AdherenceHealth BehaviorHumansInformation DisseminationMaleMiddle AgedPandemicsPublic HealthPublic PolicyRisk Reduction BehaviorSARS-CoV-2

Identifiers

PMID34737373
PMCPMC8569172
OpenAlexW3210321202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.