Evidence map›Paper›PMID 36381954›Full record

ArticleJournal of Asian health2022

Lifting the Digital Curtain: Utilizing Social Media to Promote Health Content and Engage with Asian Populations.

Tenzin Yeshi Wangdak Yuthok, Chloe Sales, Sally Shan Li, Nina Li, Katherine Connors, Latha Palaniappan

Abstract read
In one paragraph

Article in Journal of Asian health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tenzin Yeshi Wangdak YuthokStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, CA.
Chloe SalesStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, CA.
Sally Shan LiStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, CA.
Nina LiStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, CA.
Katherine ConnorsStanford Center for Clinical and Translational Research, Stanford University School of Medicine, Palo Alto, CA.
Latha PalaniappanStanford Center for Asian Health Research and Education, Stanford University School of Medicine, Palo Alto, CA.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
NCATS NIH HHS UL1 TR003142
6 · The paper itself

Abstract

BACKGROUND/

aimsTo understand how social media can be used to improve Asian subgroup engagement in a research registry.

methodsA 10-week social media campaign was implemented with the goal of increasing the percentage of Asian participants in the Stanford Research Registry - platforms utilized include Facebook, Instagram, and Twitter through the Stanford Center for Asian Health Research and Education accounts. Participant data was disaggregated by race and ethnicity in order to better understand the diversity among Asian subgroups.

resultsThe percentage of Asian participants increased from 14.3% at baseline to 23.8% at the end of the campaign (525 Asian identifying individuals to 1,871). The greatest increase occurred during the general outreach phase which utilized all channels of outreach available. Frequencies of some ethnicities, such as Japanese, Korean, and Vietnamese, were higher in the Multi-Ethnic and/or Multi-Racial categories compared to their corresponding monoethnic groups.

conclusionsSocial media is a powerful tool that can be leveraged for targeted recruitment - in this study we see how it can increase diversity amongst research participants and potentially be used as an effective tool for information dissemination. This work can be expanded in the future by examining other social media platforms more targeted toward Asian populations, and more thorough disaggregation to fully understand the diversity present in the Asian population.

Indexed as

Asian healthAsian subgroupsData disaggregationInternetSocial media

Identifiers

PMID36381954
PMCPMC9642986

What OpenQuestion holds

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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.