Evidence map›Paper›PMID 26083342›Full record

ArticlePloS one2015

Access to CD4 Testing for Rural HIV Patients: Findings from a Cohort Study in Zimbabwe.

Florian Vogt, Katie Tayler-Smith, Andrea Bernasconi, Eliphas Makondo, Fabian Taziwa, Buhlebenkosi Moyo, Liberty Havazvidi, Srinath Satyanarayana, Marcel Manzi, Mohammed Khogali and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The Shinyanga Patient: A Patient's Journey through HIV Treatment Cascade in Rural Tanzania.International journal of environmental research and public health · 2021
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  6. Article
  7. Article
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  10. Scale-up of Routine Viral Load Testing in Resource-Poor Settings: Current and Future Implementation Challenges.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016
    Article
  11. 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

11 authors.

Florian VogtOperational Centre Barcelona, Médecins sans Frontières/Doctors without Borders, Barcelona, Spain.
Katie Tayler-SmithOperational Research Unit Luxembourg, Médecins sans Frontières/Doctors without Borders, Luxembourg, Luxembourg.
Andrea BernasconiOperational Centre Barcelona, Médecins sans Frontières/Doctors without Borders, Barcelona, Spain; Department of Field Epidemiology and Training, Epicentre, Paris, France.
Eliphas MakondoLaboratory Department, Beitbridge District Hospital, Ministry of Health and Child Welfare, Beitbridge, Zimbabwe.
Fabian TaziwaZimbabwe Mission, Médecins sans Frontières/Doctors without Borders, Harare, Zimbabwe.
Buhlebenkosi MoyoBeitbridge Project, Médecins sans Frontières/Doctors without Borders, Beitbridge, Zimbabwe.
Liberty HavazvidiBeitbridge Project, Médecins sans Frontières/Doctors without Borders, Beitbridge, Zimbabwe.
Srinath SatyanarayanaCentre for Operational Research, South-East Asia Regional Office, International Union against Tuberculosis and Lung Disease, New Delhi, India.
Marcel ManziOperational Research Unit Luxembourg, Médecins sans Frontières/Doctors without Borders, Luxembourg, Luxembourg.
Mohammed KhogaliOperational Research Unit Luxembourg, Médecins sans Frontières/Doctors without Borders, Luxembourg, Luxembourg.
Anthony ReidOperational Research Unit Luxembourg, Médecins sans Frontières/Doctors without Borders, Luxembourg, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD4 cell count measurement remains an important diagnostic tool for HIV care in developing countries. Insufficient laboratory capacity in rural Sub-Saharan Africa is frequently mentioned but data on the impact at an individual patient level are lacking. Urban-rural discrepancies in CD4 testing have not been quantified to date. Such evidence is crucial for public health planning and to justify new yet more expensive diagnostic procedures that could circumvent access constraints in rural areas.

objectiveTo compare CD4 testing among rural and urban HIV patients during the first year of treatment.

methodsRecords from 2,145 HIV positive adult patients from a Médecins sans Frontières (Doctors without Borders) HIV project in Beitbridge, Zimbabwe, during 2011 and 2012 were used for a retrospective cohort analysis. Covariate-adjusted risk ratios were calculated to estimate the effects of area of residence on CD4 testing at treatment initiation, six and 12 months among rural and urban patients.

findingsWhile the proportion of HIV patients returning for medical consultations at six and 12 months decreased at a similar rate in both patient groups, CD4 testing during consultations dropped to 21% and 8% for urban, and 2% and 1% for rural patients at six and 12 months, respectively. Risk ratios for missing CD4 testing were 0.8 (95% CI 0.7-0.9), 9.2 (95% CI 5.5-15.3), and 7.6 (95% 3.7-17.1) comparing rural versus urban patients at treatment initiation, six and 12 months, respectively.

conclusionsCD4 testing was low overall, and particularly poor in rural patients. Difficulties with specimen transportation were probably a major factor underlying this difference and requires new diagnostic approaches. Our findings point to severe health system constraints in providing CD4 testing overall that need to be addressed if effective monitoring of HIV patients is to be achieved, whether by alternative CD4 diagnostics or newly-recommended routine viral load testing.

Indexed as

AdolescentAdultAnti-HIV AgentsCD4 Lymphocyte CountCohort StudiesFemaleHealth Services AccessibilityHIV InfectionsHumansMaleRetrospective StudiesRural PopulationYoung AdultZimbabweAnti-HIV Agents

Identifiers

PMID26083342
PMCPMC4471276

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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.