Evidence map›Paper›PMID 35775786›Full record

ArticleAnnals of medicine2022

Strengthening systems of care for people with or at risk for HIV, HCV and opioid use disorder: a call for enhanced data collection.

Anthony J Eller, Elizabeth E DiDomizio, Lynn M Madden, Jennifer D Oliva, Frederick L Altice, Kimberly A Johnson

Abstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
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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

6 authors.

Anthony J EllerSection of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Elizabeth E DiDomizioSection of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Lynn M MaddenSection of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Jennifer D OlivaDepartment of Mental Health Law & Policy, University of South Florida, Tampa, FL, USA.
Frederick L AlticeSection of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-7860-693X
Kimberly A JohnsonCenter for Health & Pharmaceutical Law, Seton Hall University School of Law, Newark, NJ, USA.ORCID 0000-0002-2179-5688

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundThe syndemic between opioid use disorder (OUD), hepatitis C virus (HCV), and human immunodeficiency virus (HIV) results in excessive burdens on the healthcare system. Integrating these siloed systems of care is critical to address all three conditions adequately. In this implementation project, we assessed the data capacity of the health system to measure a cascade of care (COC) across HIV, HCV and OUD services in five states to help guide public health planning. MATERIALS AND

methodsData for this study were gathered from publicly available datasets and reports from government (SAMSHA, CMS, HRSA and CDC) sites. We created, where possible, COCs for HIV, HCV, and OUD spanning population estimate, diagnosis, treatment initiation, treatment retention, and patient outcomes for each of five states in the study.

resultsThe process of data collection showed that baseline COCs examining the intersections of OUD, HIV, and HCV cannot be produced and that there are missing data in all states examined. Collection of specific data points is not consistent across all states. States are better at reporting HIV cascades due to federal requirements. Only gross estimates could be made for OUD cascades in all states because data are separated by payer source, leaving no central point of data collection from all sources. Data for HCV were not publicly available.

conclusionIt is difficult to assess the strategies needed or the progress made towards increasing treatment access and decreasing the burden of disease without the ability to construct an accurate baseline. Using integrated COCs with relevant benchmarks can not only guide public health planning, but also provide meaningful targets for intervention.KEY MESSAGESWhile HIV COCs are available for most states at least annually, they are not disaggregated for populations with co-occurring OUD or HCV.Data to calculate HCV COC are not available and data to calculate OUD COC are partially available, but only for specific payers.States do not have systems in place to measure the scope of the syndemic or to identify targets for quality improvement activities.

Indexed as

Hepatitis CHIV InfectionsOpioid-Related DisordersData CollectionHepacivirusHumansUnited Statescascade of carecontinuum of careHCVHIVimplementationOpioid use disorder

Identifiers

PMID35775786
PMCPMC9377256

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Registered trials

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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.