Evidence map›Paper›PMID 35813509›Full record

ArticleBulletin of the World Health Organization2022

Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province.

Mattias Schedwin, Aurélie Bisumba Furaha, Richard Kapend, Pierre Akilimali, Espoir Bwenge Malembaka, Helena Hildenwall, Tobias Alfvén, Thorkild Tylleskär, Mala Ali Mapatano, Carina King

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Mattias SchedwinDepartment of Global Public Health, Karolinska Institutet, Tomtebogatan 18a, 17177, Stockholm, Sweden.
Aurélie Bisumba FurahaPaediatric Department, Hôpital Provincial Général de Référence de Bukavu, Bukavu, Democratic Republic of the Congo.
Richard KapendSchool of Criminology and Criminal Justice (SCCJ), University of Portsmouth, Portsmouth, England.
Pierre AkilimaliKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Espoir Bwenge MalembakaCenter for Tropical Diseases and Global Health (CTDGH), Université Catholique de Bukavu, Bukavu, Democratic Republic of the Congo.
Helena HildenwallDepartment of Global Public Health, Karolinska Institutet, Tomtebogatan 18a, 17177, Stockholm, Sweden.
Tobias AlfvénDepartment of Global Public Health, Karolinska Institutet, Tomtebogatan 18a, 17177, Stockholm, Sweden.
Thorkild TylleskärCentre for International Health, University of Bergen, Bergen, Norway.
Mala Ali MapatanoKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Carina KingDepartment of Global Public Health, Karolinska Institutet, Tomtebogatan 18a, 17177, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare coverage of key child health policy indicators across provinces and to explore their association with under-five mortality and level of conflict in the Democratic Republic of the Congo. Methods: We made a secondary analysis of nationally representative data from 1380 health facilities and 20 792 households in 2017-2018. We analysed provincial-level data on coverage of 23 different indicators for improving common causes of childhood mortality, combined into mean scores for: newborn health, pneumonia, diarrhoea, malaria and safe environment. Using negative binomial regression we compared the scores with provincial-level under-five mortality. With binary logistic regression at the individual level we compared indicators (outcome) with living in a conflict-affected province (exposure). Findings: All grouped coverage scores demonstrated large ranges across the 26 provinces: newborn health: 20% to 61%; pneumonia: 26% to 86%; diarrhoea: 25% to 63%; malaria: 22% to 53%; and safe environment: 4% to 53%. The diarrhoea score demonstrated the strongest association with under-five mortality (adjusted coefficient: -0.026; 95% confidence interval: -0.045 to -0.007). Conflict-affected provinces had both the highest as well as the lowest mortality rates and indicator coverages. The odds of coverage were higher in conflict-affected provinces for 13 out of 23 indicators, whereas in provinces unaffected by conflict only one indicator had higher odds of coverage. Conclusion: Conflict alone is a poor predictor for child health. Ensuring that children in unaffected provinces are not neglected while addressing the needs of the most vulnerable in conflict settings is important. Prevent, protect and treat strategies for diarrhoeal disease could help improve equity in child survival.

Indexed as

Family CharacteristicsMalariaChildDemocratic Republic of the CongoDiarrheaHumansInfant, NewbornSurveys and Questionnaires

Identifiers

PMID35813509
PMCPMC9243684

What OpenQuestion holds

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LicenceCC BY
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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.