Evidence map›Paper›PMID 36033214›Full record

ArticleTransgender health2022

Examining the Geospatial Distribution of Health and Support Services for Transgender, Gender Nonbinary, and Other Gender Diverse People in New York City.

Denton Callander, Byoungjun Kim, Micah Domingo, Loni Philip Tabb, Asa Radix, Liadh Timmins, Amir Baradaran, Michael B Clark, Dustin T Duncan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transgender health, 2022. 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. Transgender Individuals and Digital Health.Current HIV/AIDS reports · 2022
    Review
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

9 authors.

Denton CallanderMailman School of Public Health, Columbia University, New York, New York, USA.ORCID https://orcid.org/0000-0002-4116-4250
Byoungjun KimMailman School of Public Health, Columbia University, New York, New York, USA.
Micah DomingoCallen-Lorde Community Health Center, New York, New York, USA.
Loni Philip TabbGrossman School of Medicine, New York University, New York, New York, USA.
Asa RadixCallen-Lorde Community Health Center, New York, New York, USA.ORCID https://orcid.org/0000-0001-9611-4181
Liadh TimminsMailman School of Public Health, Columbia University, New York, New York, USA.
Amir BaradaranSchool of the Arts, Columbia University, New York, New York, USA.
Michael B ClarkGraduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8309-0122
Dustin T DuncanMailman School of Public Health, Columbia University, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A geospatial analysis of services that support transgender and gender diverse ("trans") people in New York City (NYC) was conducted to investigate associations with neighborhood-level sociodemographic characteristics. In June 2019, there were 5.3 services for every 100,000 of the general NYC population; controlling for other covariates, they were more commonly located in neighborhoods with larger populations of non-Hispanic Black (rate ratio [RR]=1.02, 95% confidence interval [CI]: 1.00-1.04), Hispanic/Latino (RR=1.03, 95% CI: 1.00-1.06), and gay/lesbian people (RR=1.53, 95% CI: 1.03-2.34). These findings suggest that the distribution of trans-focused services in NYC is proximal to communities that are most in need, but research should examine proximity to trans people specifically and distribution in nonurban areas.

Indexed as

geospatialhealth equitynonbinaryspatial epidemiologytransgender

Identifiers

PMID36033214
PMCPMC9398481

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.