ArticleAIDS patient care and STDs2022
Racial and Ethnic Disparities in HIV Testing in People Who Use Drugs Admitted to a Tertiary Care Hospital.
Article in AIDS patient care and STDs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Trends in HIV Testing Among Adults in the Deep South: Behavioral Risk Factor Surveillance System, 2017-2023.AIDS and behavior · 2025Article
- Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study.JMIR AI · 2025Article
- Sensitivity and Specificity of Natural Language Processing Systems for Identification of Hospitalized People Who Use Drugs.Open forum infectious diseases · 2025Article
- Addressing HIV and Substance Use Health Disparities among Racial/Ethnic Minority Individuals.Current HIV/AIDS reports · 2025Review
- "How much more on the nurse?:" a qualitative analysis of inpatient nurses' perspectives on offering HIV testing.BMC nursing · 2025Article
- National HIV and HCV Screening Rates for Hospitalized People who Use Drugs Are Suboptimal and Heterogeneous Across 11 US Hospitals.Open forum infectious diseases · 2024Article
- Integrated Care Models: HIV and Substance Use.Current HIV/AIDS reports · 2023Review
- Implementation of a bundle to improve HIV testing during hospitalization for people who inject drugs.Implementation research and practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Ending the HIV epidemic requires increased testing, diagnosis, and linkage to care. In the past 10 years, rates of HIV have increased among people with substance use disorder (SUD). HIV testing is recommended during hospitalization. Despite rising rates of infections and recommendations, HIV testing remains suboptimal. This study sought to detect differences in HIV testing by race and ethnicity in people who use drugs (PWUD) admitted to Tufts Medical Center (TuftsMC). This study is a retrospective review of hospitalized PWUD admitted from January 1, 2017 to December 31, 2020. PWUD were identified through toxicology results, medication prescribed for SUD, and nursing intake questions. The primary outcome of interest was whether an HIV test was ordered during hospitalization. The indicator of interest was race and ethnicity. Of 13,486 PWUD admitted to TuftsMC, only 10% had an HIV test ordered. Compared with White patients, Black patients [adjusted odds ratio (AOR): 0.69, 95% confidence interval (CI) (0.59-0.83)] and Hispanic patients [AOR: 0.68, 95% CI (0.55-0.84)] had decreased odds of receiving an HIV test. Our report is the first to show racial and ethnic differences in HIV testing ordering for hospitalized PWUD. Without access to harm reduction tools and expanded systems-based testing strategies, the HIV epidemic will continue and disproportionately impact minoritized communities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.