Evidence map›Paper›PMID 30475818›Full record

Observational studyPloS one2018

Investigating risk factors for under-five mortality in an HIV hyper-endemic area of rural South Africa, from 2000-2014.

B Tlou, B Sartorius, F Tanser

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  3. Socioeconomic and Regional Disparities in Under-five Mortality in Indonesia: Insights From Indonesia's 2020 Census.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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  5. Health Expenditure, Institutional Quality, and Under-Five Mortality in Sub-Saharan African Countries.International journal of environmental research and public health · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

B TlouDiscipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0003-1732-1903
B SartoriusDiscipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
F TanserDiscipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.

Funding

Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
NICHD NIH HHS R01 HD084233
6 · The paper itself

Abstract

introductionDespite global progress, there remains a disproportionate burden of under-five year old deaths in sub-Saharan Africa (SSA), where four out of five child deaths occur. Substantial progress has been made in improving sanitation, controlling communicable diseases and the spread of HIV in most parts of the world. However, significant strides to address some key risk factors related to under-five mortality are still needed in rural SSA if they are to attain relevant 2030 SDG targets. The aim of this study is to investigate the risk factors for under-five mortality in an HIV hyper-endemic area of rural South Africa, from 2000-2014. Some of the key risk factors investigated are, for example: household wealth, source of drinking water, distance to the national road and birth order.

methodsWe conducted a statistical analysis of 759 births from a population-based cohort in rural KwaZulu-Natal Province, South Africa, from 2000 to 2014. A Cox Proportional Hazards model was used to identify the risk factors and key socio-demographic correlates of under-five mortality leveraging the longitudinal structure of the population cohort.

resultsChild mortality rates declined by 80 per cent from 2000 to 2014, from >140 per 1,000 persons in years 2001-2003 to 20 per 1,000 persons in the year 2014. The highest under-five mortality rate was recorded in 2002/2003, which decreased following the start of antiretroviral therapy rollout in 2003/4. The results indicated that under-five and infant mortality are significantly associated with a low wealth index of 1.49 (1.007-2.48) for under-fives and 3.03 (1.72-5.34) for infants. Children and infants with a lower wealth index had a significantly increased risk of mortality as compared to those with a high wealth index. Other significant factors included: source of household drinking water (borehole) 3.03 (1.72-5.34) for under-fives and 2.98 (1.62-5.49) for infants; having an HIV positive mother 4.22 (2.68-6.65) for under-fives and 3.26 (1.93-5.51) for infants, and period of death 9.13 (5.70-14.6) for under-fives and 1.28 (0.75-2.20) for infants. Wealth index had the largest population attributable fraction of 25.4 per cent.

conclusionsThe research findings show a substantial overall reduction in under-five mortality since 2003. Unsafe household water sources and having an HIV-positive mother were associated with an increased risk of under-five mortality in this rural setting. The significant risk factors identified align well with the SDG 2030 targets for reducing child mortality, which include improved nutrition, sanitation, hygiene and reduced HIV infections. Current trajectories suggest that there is some hope for meeting the 2030 SGD targets in rural South Africa and the region if the identified significant risk factors are adequately addressed.

Indexed as

Child MortalityInfant MortalityRural PopulationAdultChild, PreschoolFemaleHIV-1HIV InfectionsHumansInfantInfant, NewbornLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsSouth Africa

Identifiers

PMID30475818
PMCPMC6261054

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.