Evidence map›Paper›PMID 35309004›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021

Trust and credibility of information sources related to COVID-19 among high-risk ethnically diverse adults at the onset of the New York City outbreak: A cross-sectional survey conducted via a community health portal.

Rita Kukafka, Mari Millery, Samuel Pan, Thomas B Silverman, Julia E McGuinness, Katherine D Crew

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 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
0.6field-weighted citation impact, top 27% 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, 5 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 2 institutions in 1 country.

Rita KukafkaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Mari MilleryDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Samuel PanHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
Thomas B SilvermanDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Julia E McGuinnessHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
Katherine D CrewHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · US

Funding

Conexion: A localized information resource for a low-income Hispanic communityG08LM012689 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUKAFKA, RITA · 2017 to 2019
$300k
NLM NIH HHS G08 LM012689
6 · The paper itself

Abstract

In March 2020, days after New York shut down to mitigate the spread of COVID-19, we developed a cross-sectional, participant-administered electronic survey to explore how New Yorkers were impacted by and were responding to the ongoing crisis. A critical component of the survey was to assess how credible and trustworthy respondents found various information sources. To advertise and distribute the survey, we embedded an invitation to participate using a popup on the GetHealthyHeights.org website. GetHealthyHeights was designed using community-based participatory research for the medically-underserved, urban, and largely Latinx community of Washington Heights-Inwood, New York City. We received 321 responses from April through July 2020. Participant ages ranged from 25 to 87, and 25% were Latinx. Results showed that the choice of and trust in different COVID-19 information sources were observed to be significantly different across demographic variables, including gender, age, race, and chronic health conditions. In the domains of trust and information source credibility, designers should account for perspectives of diverse subgroups.

Indexed as

COVID-19TrustAdultCross-Sectional StudiesDisease OutbreaksHumansNew York CityPublic Health

Identifiers

PMID35309004
PMCPMC8861675
OpenAlexW4287404221

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.