Evidence map›Paper›PMID 31022280›Full record

ArticlePloS one2019

Cost-effectiveness of HIV care coordination scale-up among persons at high risk for sub-optimal HIV care outcomes.

Elizabeth R Stevens, Kimberly A Nucifora, Mary K Irvine, Katherine Penrose, McKaylee Robertson, Sarah Kulkarni, Rebekkah Robbins, Bisrat Abraham, Denis Nash, R Scott Braithwaite

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Elizabeth R StevensDepartment of Population Health, NYU School of Medicine, New York, NY, United States of America.ORCID 0000-0001-6063-1523
Kimberly A NuciforaDepartment of Population Health, NYU School of Medicine, New York, NY, United States of America.
Mary K IrvineBureau of HIV/AIDS Prevention & Control, New York City Department of Health and Mental Hygiene, New York, NY, United States of America.
Katherine PenroseBureau of HIV/AIDS Prevention & Control, New York City Department of Health and Mental Hygiene, New York, NY, United States of America.
McKaylee RobertsonInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States of America.
Sarah KulkarniInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States of America.
Rebekkah RobbinsBureau of HIV/AIDS Prevention & Control, New York City Department of Health and Mental Hygiene, New York, NY, United States of America.
Bisrat AbrahamBureau of HIV/AIDS Prevention & Control, New York City Department of Health and Mental Hygiene, New York, NY, United States of America.
Denis NashInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States of America.
R Scott BraithwaiteDepartment of Population Health, NYU School of Medicine, New York, NY, United States of America.

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

backgroundA study of a comprehensive HIV Care Coordination Program (CCP) showed effectiveness in increasing viral load suppression (VLS) among PLWH in New York City (NYC). We evaluated the cost-effectiveness of a scale-up of the CCP in NYC.

methodsWe incorporated observed effects and costs of the CCP into a computer simulation of HIV in NYC, comparing strategy scale-up with no implementation. The simulation combined a deterministic compartmental model of HIV transmission with a stochastic microsimulation of HIV progression, and was calibrated to NYC HIV epidemiological data from 1997 to 2009. We assessed incremental cost-effectiveness from a health sector perspective using 2017 $US, a 20-year time horizon, and a 3% annual discount rate. We explored two scenarios: (1) two-year average enrollment and (2) continuous enrollment.

resultsIn scenario 1, scale-up resulted in a cost-per-infection-averted of $898,104 and a cost-per-QALY-gained of $423,721. In sensitivity analyses, scale-up achieved cost-effectiveness if effectiveness increased from RR1.11 to RR1.37 or costs decreased by 41.7%. Limiting the intervention to persons with unsuppressed viral load prior to enrollment (RR1.32) attenuated the cost reduction necessary to 11.5%. In scenario 2, scale-up resulted in a cost-per-infection-averted of $705,171 and cost-per-QALY-gained of $720,970. In sensitivity analyses, scale-up achieved cost-effectiveness if effectiveness increased from RR1.11 to RR1.46 or program costs decreased by 71.3%. Limiting the intervention to persons with unsuppressed viral load attenuated the cost reduction necessary to 38.7%.

conclusionCost-effective CCP scale-up would require reduced costs and/or focused enrollment within NYC, but may be more readily achieved in cities with lower background VLS levels.

Indexed as

Cost-Benefit AnalysisHIV InfectionsHumansModels, BiologicalPatient CareReproducibility of ResultsRisk FactorsTreatment Outcome

Identifiers

PMID31022280
PMCPMC6483203

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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.