Evidence map›Paper›PMID 26715204›Full record

ArticleGlobal health action2015

Challenges with routine data sources for PMTCT programme monitoring in East Africa: insights from Tanzania.

Annabelle Gourlay, Alison Wringe, Jim Todd, Denna Michael, Georges Reniers, Mark Urassa, Prosper Njau, Deborah Kajoka, Levina Lema, Basia Zaba

Abstract read
In one paragraph

Article in Global health action, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  16. 'Gates open research · 2019
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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

10 authors.

Annabelle GourlayFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom; annabelle.gourlay@lshtm.ac.uk.
Alison WringeFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Jim ToddFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Denna MichaelNational Institute for Medical Research, Mwanza, Tanzania.
Georges ReniersFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Mark UrassaNational Institute for Medical Research, Mwanza, Tanzania.
Prosper NjauNational Program for Prevention of Mother-to-Child Transmission of HIV, Ministry of Health and Social Welfare, Dar Es Salaam, Tanzania.
Deborah KajokaNational Program for Prevention of Mother-to-Child Transmission of HIV, Ministry of Health and Social Welfare, Dar Es Salaam, Tanzania.
Levina LemaNational Program for Prevention of Mother-to-Child Transmission of HIV, Ministry of Health and Social Welfare, Dar Es Salaam, Tanzania.
Basia ZabaFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AGGREY SEMWENDERO SEMEERE, Kara Kay Wools-Kaloustian · 2006 to 2026
$57.7M
Medical Research Council EPCPAC79Medical Research Council G0902143NIAID NIH HHS U01 AI069911NIAID NIH HHS U01AI069911
6 · The paper itself

Abstract

Routinely collected clinic data have the potential to provide much needed information on the uptake of services to prevent mother-to-child transmission (PMTCT) of HIV, and to measure HIV prevalence in pregnant women. This article describes the methodological challenges associated with using such data, based on the experiences of researchers and programme implementers in Tanzania and drawing from other examples from East Africa. PMTCT data are routinely collected in maternal and child health (MCH) clinics in East Africa using paper-based registers corresponding to distinct services within the PMTCT service continuum. This format has inherent limitations with respect to maintaining and accurately recording unique identifiers that can link patients across the different clinics (antenatal, delivery, child), and also poses challenges when compiling aggregate data. Recent improvements to recording systems include assigning unique identifiers to HIV-positive pregnant women in MCH clinics, although this should ideally be extended to all pregnant women, and recording mother and infant identifiers alongside each other in registers. The use of 'health passports', as in Malawi, which maintains the same antenatal clinic identifier over time, also holds promise. Routine data hold tremendous potential for clinic-level patient management, surveillance, and evaluating PMTCT/MCH programmes. Linking clinic data to community research datasets can also provide population-level estimates of coverage with PMTCT services, currently a problematic but vital statistic for monitoring programme performance and negotiating donor funding. Enhancements to indexing and recording of routine PMTCT/MCH data are needed if we are to capitalise on this rich data source.

Indexed as

Data CollectionInformation Storage and RetrievalMaternal-Child Health ServicesAnti-HIV AgentsChildFemaleHIV InfectionsHumansInfantInfectious Disease Transmission, VerticalMalawiPregnancyPregnancy Complications, InfectiousPrevalenceProgram EvaluationTanzaniaAnti-HIV AgentsAfricadata collectionevaluationHIVimplementation research methodsmaternal health servicesmonitoring

Identifiers

PMID26715204
PMCPMC4695617

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.