Evidence map›Paper›PMID 32847619›Full record

ArticleBMC research notes2020

District-level strategies to control the HIV epidemic in Zimbabwe: a practical example of precision public health.

Richard Makurumidze, Tom Decroo, Lutgarde Lynen, Zororo Kudzaishe Chinwadzimba, Wim Van Damme, James Hakim, Simbarashe Rusakaniko

Abstract read
In one paragraph

Article in BMC research notes, 2020. 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. Article
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Richard MakurumidzeCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe. rmakurumidze@ext.itg.be.ORCID http://orcid.org/0000-0001-6490-1818
Tom DecrooInstitute of Tropical Medicine, Antwerp, Belgium.
Lutgarde LynenInstitute of Tropical Medicine, Antwerp, Belgium.
Zororo Kudzaishe ChinwadzimbaMinistry of Health and Child Care, Geographic Information System Department, Harare, Zimbabwe.
Wim Van DammeInstitute of Tropical Medicine, Antwerp, Belgium.
James HakimCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Simbarashe RusakanikoCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe conducted a descriptive cross-sectional study using survey and programme data to assess district-level performance along the HIV care cascade (HIV testing target achievement, linkage to ART and ART coverage) in order to formulate district-specific recommendations, taking into consideration prevalence and yield of testing.

resultsData from 60 districts were analysed. Forty-eight districts (80.0%) surpassed 90% of their 2018 HIV testing targets. Linkage to ART was less than 90% in 40 districts (83.3%). Thirty districts (50.0%) had ART coverage above 90%. Of the 30 districts with suboptimal (< 90%) ART coverage, 18 districts had achieved high HIV testing target but with suboptimal linkage to ART, 6 had achieved high HIV testing targets and high linkage to ART, 4 had both suboptimal HIV testing target achievement and linkage to ART and 2 had suboptimal HIV testing target achievement and high linkage to ART. Priority should be given to districts with suboptimal ART coverage. Remediation strategies should be tailored to address the poorly performing stage of the cascade in each of the districts.

Indexed as

EpidemicsHIV InfectionsCross-Sectional StudiesHumansPublic HealthZimbabwe90-90-90 targetsART coverageHIV testingImplementationLinkage to carePrecision public healthZimbabwe

Identifiers

PMID32847619
PMCPMC7449062

What OpenQuestion holds

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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.