Evidence map›Paper›PMID 33902631›Full record

ArticleAIDS research and therapy2021

Impact of strategic use of antiretroviral therapy intervention to the HIV continuum of care in 13 cities in Indonesia: an interrupted time series analysis.

Yane N Tarigan, Richard J Woodman, Emma R Miller, Rudi Wisaksana, Paul R Ward

Abstract read
In one paragraph

Article in AIDS research and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Yane N TariganHealth Sciences Building, College of Medicine and Public Health, Flinders University, Sturt Rd Bedford Park, Adelaide, SA, 5042, Australia. yanenovina@gmail.com.ORCID 0000-0003-3357-955X
Richard J WoodmanHealth Sciences Building, College of Medicine and Public Health, Flinders University, Sturt Rd Bedford Park, Adelaide, SA, 5042, Australia.
Emma R MillerHealth Sciences Building, College of Medicine and Public Health, Flinders University, Sturt Rd Bedford Park, Adelaide, SA, 5042, Australia.
Rudi WisaksanaDepartment of Internal Medicine, Hasan Sadikin Hospital, University of Padjajaran, Bandung, Indonesia.
Paul R WardHealth Sciences Building, College of Medicine and Public Health, Flinders University, Sturt Rd Bedford Park, Adelaide, SA, 5042, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2013 the Indonesian government introduced the strategic use of antiretroviral therapy (SUFA) initiative of expanding access to HIV test and treatment, to help achieve the UNAIDS 90-90-90 targets. However, there has been no comprehensive evaluation of the impact of this intervention in Indonesia. We conducted an interrupted time series (ITS) analysis across 6-years to assess its immediate and medium-term impact.

methodsMonthly aggregated HIV data from all HIV care clinics for persons aged ≥ 15 years were collected from 13 pilot cities. The data period encompassed 3-years prior to SUFA (26 Dec 2010-25 Dec 2013) and 3-years post-SUFA (26 Dec 2013-25 Dec 2016). The ITS was performed using a multilevel negative binomial regression model to assess the immediate and trend changes in each stage of the HIV continuum of care.

resultsIn the pre-SUFA period, the overall coverage in the respective risk populations for HIV tests, cases, enrolments, eligible cases and ARV initiation were 1.0%, 8.6%, 98.9%, 76.9% and 75.8% respectively. In the post-SUFA period coverage was 3%, 3.8%, 98.6%, 90.3% and 81.2% respectively-with a significant increase in the median number of HIV tests, HIV cases, those eligible for ARV treatment and treatment initiation (p < 0.05 for each). The ITS analysis demonstrated immediate increases in HIV tests (IRR = 1.41, 95% CI 1.25, 1.59; p < 0.001) and an immediate decrease in detected HIV cases per person tested (IRR = 0.77, 95% CI 0.69-0.86; p < 0.001) in the month following commencement of SUFA. There was also a 3% decline in the monthly trend for HIV tests performed (IRR = 0.97; 95% CI 0.97-0.98, p < 0.001), a 1% increase for detected cases (IRR = 1.01, 95% CI 1.0-1.02, p < 0.001), and a 1% decline for treatment initiation (IRR = 0.99,95% CI 0.99-1.0 p < 0.05).

conclusionsSUFA was associated with an immediate and sustained increase in the absolute number of HIV tests performed, detected HIV cases, and close to complete coverage of detected cases that were enrolled to care and defined as eligible for treatment. However, treatment initiation remained sub-optimal. The findings of this study provide valuable information on the real-world effect of accelerating ARV utilizing Treatment as Prevention for the full HIV continuum of care in limited resource countries.

Indexed as

HIV InfectionsCitiesContinuity of Patient CareHumansIndonesiaInterrupted Time Series AnalysisContinuum of careHIVIndonesiaInterrupted time seriesTasP

Identifiers

PMID33902631
PMCPMC8074419

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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.