Evidence map›Paper›PMID 41737907›Full record

ArticleSSM - population health2026

Countering the forgetting of novel health information with 'social boosting'.

Vaibhav Krishna, Nicholas A Christakis

Abstract read
In one paragraph

Article in SSM - population health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Vaibhav KrishnaYale Institute of Network Science,Yale University, Suite 393A, 17 Hillhouse Avenue, New Haven, CT 06511, USA.
Nicholas A ChristakisYale Institute of Network Science,Yale University, Suite 393A, 17 Hillhouse Avenue, New Haven, CT 06511, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of misleading information, especially with respect to health care practices, poses a threat. While studies have shown the effectiveness of various intervention techniques in mitigating the adverse effects of low-quality or false information, the effectiveness of such interventions can decay. Here, we investigate the role of the detailed social structure within which the intervened individuals live, which provides opportunities for the individuals to discuss and internalize new knowledge. We evaluated this with respect to information about maternal and child health care, delivered via a 22-month in-home intervention, among targeted individuals in 110 isolated Honduran villages. We hypothesize that individuals who receive specific knowledge can internalize and consolidate this information by engaging in social interactions where, for instance, they have an opportunity to discuss it with others. We found that well-connected individuals within a social network experience an enhanced effectiveness of knowledge interventions. These individuals may be more likely to internalize and retain the information and reinforce it in others, due to increased opportunities for social interaction where they teach or explain new knowledge, a mechanism we refer to as "social boosting". These findings underscore the role of social interactions in reinforcing health knowledge interventions.

Identifiers

PMID41737907
PMCPMC12927082

What OpenQuestion holds

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Registered trials

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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.