Evidence map›Paper›PMID 38645158›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Enabling a Learning Public Health System: Enhanced Surveillance of HIV and Other Sexually Transmitted Infections.

Harry Reyes Nieva, Jason Zucker, Emma Tucker, Delivette Castor, Michael T Yin, Peter Gordon, Noémie Elhadad

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Harry Reyes NievaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.ORCID 0000-0001-7774-2561
Jason ZuckerDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.ORCID 0000-0001-6987-6412
Emma TuckerCollege of Physicians and Surgeons, Columbia University, new York, NY, USA.ORCID 0000-0003-3009-192X
Delivette CastorDivision of Infectious Diseases, Columbia University, New York, NY USA.ORCID 0000-0002-0988-9489
Michael T YinDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.ORCID 0000-0002-9346-9056
Peter GordonDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Noémie ElhadadDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.ORCID 0000-0001-9721-5240
Columbia University Irving Medical Center · USNew York Hospital Queens · USColumbia University · USHarvard University · US

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Columbia Collaborative HIV/AIDS Clinical Trials UnitU01AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAMMER, SCOTT M · 2007 to 2011
$15.4M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
NIAID NIH HHS K23 AI150378NIAID NIH HHS U01 AI069470NIAID NIH HHS UM1 AI069470NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

Sexually transmitted infections (STIs) continue to pose a substantial public health challenge in the United States (US). Surveillance, a cornerstone of disease control and prevention, can be strengthened to promote more timely, efficient, and equitable practices by incorporating health information exchange (HIE) and other large-scale health data sources into reporting. New York City patient-level electronic health record data between January 1, 2018 and June 30, 2023 were obtained from Healthix, the largest US public HIE. Healthix data were linked to neighborhood-level information from the American Community Survey. In this cross-sectional study, we compared patients who received a test or tested positive for chlamydia, gonorrhea, and/or HIV with patients who were untested or tested negative, respectively, using generalized estimating equations with logit function and robust standard errors. Among 1,519,121 tests performed for chlamydia, 1,574,772 for gonorrhea, and 1,200,560 for HIV, 2%, 0.6% and 0.3% were positive for chlamydia, gonorrhea, and HIV, respectively. Chlamydia and gonorrhea co-occurred in 1,854 cases (7% of chlamydia and 21% of gonorrhea total cases). Testing behavior was often incongruent with geographic and sociodemographic patterns of positive cases. For example, people living in areas with the highest levels of poverty were less likely to test for gonorrhea but almost twice as likely to test positive compared to those in low poverty areas. Regional HIE enabled review of testing and cases using granular and complementary data not typically available given existing reporting practices. Enhanced surveillance spotlights potential incongruencies between testing patterns and STI risk in certain populations, signaling potential under- and over-testing. These and future insights derived from HIE data may be used to continuously inform public health practice and drive further improvements in provision and evaluation of services and programs.

Indexed as

disease surveillancehealth equityhealth information exchangeinfectious diseaseslearning health systemspublic health informaticssexually transmitted infections

Identifiers

PMID38645158
PMCPMC11030475
OpenAlexW4394785208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.