Evidence map›Paper›PMID 39913869›Full record

ArticleAmerican journal of public health2025

Public Health Communication Approaches for Building Common Ground.

Wen-Ying Sylvia Chou, Irina A Iles, Anna Gaysynsky, William M P Klein

Abstract read
In one paragraph

Article in American journal of public health, 2025. 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

4 authors.

Wen-Ying Sylvia ChouAll authors are with the Behavior Research Program, National Cancer Institute, Rockville, MD. Anna Gaysynsky is also with ICF Next, Rockville, MD.ORCID 0000-0002-9140-6094
Irina A IlesAll authors are with the Behavior Research Program, National Cancer Institute, Rockville, MD. Anna Gaysynsky is also with ICF Next, Rockville, MD.ORCID 0000-0002-9348-1012
Anna GaysynskyAll authors are with the Behavior Research Program, National Cancer Institute, Rockville, MD. Anna Gaysynsky is also with ICF Next, Rockville, MD.ORCID 0000-0001-5612-5572
William M P KleinAll authors are with the Behavior Research Program, National Cancer Institute, Rockville, MD. Anna Gaysynsky is also with ICF Next, Rockville, MD.ORCID 0000-0002-8847-8193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in the information landscape and increasing polarization in society over recent decades have made it more difficult to establish common ground, which poses a profound challenge to effective health communication and public health in general. We highlight the importance of assessing health communication approaches for their potential to bring people together and reduce polarization. We outline several communication approaches that use existing common ground (e.g., appeals to shared values, shared identity, common goals, social norms) or cultivate common ground (e.g., dialogue to bridge divides, trust-focused communication, efforts to humanize scientists), positing that by furthering common ground, these approaches can serve to increase a shared understanding of contentious health topics and foster greater trust in science and evidence-based health information. We end by cautioning against the use of approaches that may be shown to be effective on some measures but may also inadvertently create further polarization, such as the use of certain fear appeals, disparaging humor, or stigmatizing language. (

Indexed as

CommunicationHealth CommunicationPublic HealthHumansTrust

Identifiers

PMID39913869
PMCPMC11903081

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.