Evidence map›Paper›PMID 37946103›Full record

ArticleBMC infectious diseases2023

Evaluation of multiple data sources for predicting increased need for HIV prevention among cisgender women: understanding missed opportunities for Pre-exposure Prophylaxis (PrEP).

Amy K Johnson, Samantha Devlin, Sadia Haider, Cassandra Oehler, Juan Rivera, Isa Alvarez, Jessica Ridgway

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Amy K JohnsonReasearch Associate Professor Center for Gender, Sexuality, and HIV Prevention, The Potocsnak Family Division of Adolescent and Young Adult Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. akjohnson@luriechildrens.org.
Samantha DevlinResearch Coordinator, University of Chicago, Chicago, IL, USA.
Sadia HaiderDivision of Family Planning, Rush University Medical Center (RUMC), Chicago, IL, USA.
Cassandra OehlerClinical Assistant Professor Allegheny Health Network, Drexel University School of Medicine, Pennsylvania, USA.
Juan RiveraSocial and Behavioral Research Manager, Howard Brown Health, Chicago, USA.
Isa AlvarezClinical Research Coordinator, Division of Family Planning, Rush University Medical Center (RUMC), Chicago, IL, USA.
Jessica RidgwayBiological Sciences Division, University of Chicago, Chicago, IL, USA.
Rush University Medical Center · USUniversity of Chicago · USDrexel University · USHoward Brown Health Center · USNorthwestern University · US

Funding

Our stories, our lives, our health: Refining an automated identification of HIV-negative, PrEP-eligible women in the emergency departmentR03MH121226 · NIMH · UNIVERSITY OF CHICAGO · PI JOHNSON, AMY KRISTEN, RIDGWAY, JESSICA · 2019 to 2020
$176k
NIH HHS R03MH121226NIMH NIH HHS R03 MH121226
6 · The paper itself

Abstract

backgroundCiswomen constitute a disproportionately low percentage of pre-exposure prophylaxis for HIV prevention (PrEP) users compared to men. Despite PrEP's effectiveness, women are 5.25 times less likely to take PrEP than men. Identifying women who have increased reasons for HIV prevention and educating and offering PrEP to these women is crucial to reducing HIV transmission and overall health equity. However, the best method of identifying women at highest risk of acquiring HIV remains unknown. This study aimed to identify common HIV risk factors and data sources for identifying these common factors (e.g., electronic medical record data, open source neighborhood data), as well as potential intervention points and missed opportunities for PrEP linkage.

methodsWe conducted an evaluation of multiple data sources: semi-structured qualitative interviews, electronic medical record (EMR) chart abstraction, and open source data abstraction. We accessed EMRs for enrolled participants and all participants signed a standard release of medical information (ROI) form for all institutions at which they had received medical care for the five-year period preceding their HIV diagnosis. Data were abstracted using a standardized procedure. Both structured and unstructured fields (i.e., narrative text of free notes) within the EMR were examined and included for analysis. Finally, open data sources (e.g., STI cases, HIV prevalence) were examined by community area of Chicago. Open data sources were used to examine several factors contributing to the overall Economic Hardship Index (EHI) score. We used these calculated scores to assess the economic hardship within participants' neighborhoods.

resultsA total of 18 cisgender women with HIV participated in our study. Participants were mostly Black/African American (55.6%) and young (median age of 34). Our analysis identified two main themes influencing HIV risk among participants: contextual factors and relationship factors. Further, potential pre-diagnosis intervention points and missed opportunities were identified during reproductive health/prenatal visits, behavioral/mental health visits, and routine STI testing. Our evaluation of multiple data sources included investigating the presence or absence of information in the EMR (STI history, HIV testing, substance use, etc.) as well as whether pertinent information could be gathered from open access sources.

conclusionCiswomen recently diagnosed with HIV identified many shared experiences, including syndemic conditions like mental illness and substance abuse, sex with men who have sex with men, and frequent moving in areas with high HIV incidence prior to their diagnosis. It is imperative that providers ask patients about social history, information about partners, and other key variables, in addition to the standardized questions. Findings can be used to better recognize ciswomen most vulnerable to HIV and offer PrEP to them, reducing HIV transmission.

Indexed as

Anti-HIV AgentsHIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesFemaleHomosexuality, MaleHumansInformation SourcesMaleAnti-HIV AgentsData sources HIV preventionHIVPre-exposure prophylaxisWomen

Identifiers

PMID37946103
PMCPMC10636899
OpenAlexW4388520544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.