Evidence map›Paper›PMID 30299346›Full record

Observational studyJournal of acquired immune deficiency syndromes (1999)2019

Impact of an HIV Care Coordination Program on Durable Viral Suppression.

McKaylee M Robertson, Kate Penrose, Mary K Irvine, Rebekkah S Robbins, Sarah Kulkarni, Sarah L Braunstein, Levi Waldron, Graham Harriman, Denis Nash

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Journal of acquired immune deficiency syndromes (1999), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03628287 (Program Refinements to Optimize Model Impact and Scalability Based on Evidence), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

NCT03628287 nacompletednot on this map

Program Refinements to Optimize Model Impact and Scalability Based on Evidence

TypeinterventionalSponsorCity University of New York, School of Public HealthRan2018 to 2023Enrolled960ConditionsHivArmsRevised Care Coordination Program, Original Care Coordination Program
3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Trial
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  13. Client-Centered Care Coordination (C4Sexuality research & social policy : journal of NSRC : SR & SP · 2022
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  15. Observational
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  17. Review
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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

9 authors.

McKaylee M RobertsonInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York City, New York.
Kate PenroseNew York City Department of Health and Mental Hygiene, Bureau of HIV/AIDS Prevention and Control, New York City, New York.
Mary K IrvineNew York City Department of Health and Mental Hygiene, Bureau of HIV/AIDS Prevention and Control, New York City, New York.
Rebekkah S RobbinsNew York City Department of Health and Mental Hygiene, Bureau of HIV/AIDS Prevention and Control, New York City, New York.
Sarah KulkarniInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York City, New York.
Sarah L BraunsteinNew York City Department of Health and Mental Hygiene, Bureau of HIV/AIDS Prevention and Control, New York City, New York.
Levi WaldronInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York City, New York.
Graham HarrimanNew York City Department of Health and Mental Hygiene, Bureau of HIV/AIDS Prevention and Control, New York City, New York.
Denis NashInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York City, New York.

Funding

"Enhancing Cancer Research in Central Africa IeDEA"U01AI096299 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Denis Nash, Marcel Yotebieng · 2011 to 2026
$35.8M
HIV care coordination: comparative effectiveness, outcome determinants and costsR01MH101028 · NIMH · HUNTER COLLEGE · PI IRVINE, MARY KATHRYN, NASH, DENIS · 2013 to 2017
$3.1M
NIAID NIH HHS U01 AI096299NIMH NIH HHS R01 MH101028
6 · The paper itself

Abstract

backgroundTo assess long-term effectiveness of an intensive and comprehensive Ryan White Part A-funded HIV Care Coordination Program recruiting people living with HIV with a history of suboptimal HIV care outcomes.

methodsWe merged programmatic data on CCP clients with surveillance data on all adults diagnosed with HIV. Using propensity score matching, we identified a contemporaneous, non-CCP-exposed comparison group. Durable viral suppression (DVS) was defined as regular viral load (VL) monitoring and all VLs ≤200 copies per milliliter in months 13-36 of follow-up.

resultsNinety percent of the combined cohort (N = 12,414) had ≥1 VL ≤200 during the follow-up period (December 1, 2009-March 31, 2016), and nearly all had routine VL monitoring, but only 36.8% had DVS. Although DVS did not differ overall (relative risk: 0.99, 95% confidence interval: 0.95 to 1.03), CCP clients without any VL suppression (VLS) in the 12-month pre-enrollment showed higher DVS versus "usual care" recipients (21.3% versus 18.4%; relative risk: 1.16, 95% confidence interval: 1.04 to 1.29).

conclusionsEnrollment in an intensive intervention modestly improved DVS among those unsuppressed before CCP enrollment. This program shows promise for meeting treatment-as-prevention goals and advancing progress along the HIV care continuum, if people without evidence of VLS are prioritized for CCP enrollment over those with recent evidence of VLS. Low overall DVS (<40%) levels underscore a need for focused adherence maintenance interventions, in a context of high treatment access.

Indexed as

Comprehensive Health CareContinuity of Patient CareAdultAnti-HIV AgentsCD4 Lymphocyte CountDrug MonitoringFemaleHIV InfectionsHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeViral LoadYoung AdultAnti-HIV Agents

Identifiers

PMID30299346
PMCPMC6289598

What OpenQuestion holds

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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.