Evidence map›Paper›PMID 38627761›Full record

ArticleHealth research policy and systems2024

Using a priority setting exercise to identify priorities for guidelines on newborn and child health in South Africa, Malawi, and Nigeria.

Solange Durão, Emmanuel Effa, Nyanyiwe Mbeye, Mashudu Mthethwa, Michael McCaul, Celeste Naude, Amanda Brand, Ntombifuthi Blose, Denny Mabetha, Moriam Chibuzor and 7 more

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  8. Iron supplementation in children to prevent deficiency and anaemia: A qualitative synthesis.African journal of primary health care & family medicine · 2025
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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

17 authors at 6 institutions in 4 countries.

Solange DurãoHealth Systems Research Unit, South African Medical Research Council, Cape Town, South Africa. Solange.durao@mrc.ac.za.ORCID http://orcid.org/0000-0001-7028-2638
Emmanuel EffaCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Nyanyiwe MbeyeEvidence Informed Decision-Making Centre, Department of Community and Environmental Health, School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Mashudu MthethwaCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Michael McCaulCentre for Evidence-Based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Celeste NaudeCentre for Evidence-Based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Amanda BrandCentre for Evidence-Based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Ntombifuthi BloseHealth Systems Research Unit, South African Medical Research Council, Cape Town, South Africa.
Denny MabethaHealth Systems Research Unit, South African Medical Research Council, Cape Town, South Africa.
Moriam ChibuzorCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Dachi ArikpoCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Roselyn ChipojolaEvidence Informed Decision-Making Centre, Department of Community and Environmental Health, School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Gertrude KunjeEvidence Informed Decision-Making Centre, Department of Community and Environmental Health, School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Per Olav VandvikMAGIC Evidence Ecosystem Foundation, Oslo, Norway.
Ekpereonne EsuCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Simon LewinDepartment of Health Sciences Alesund, Norwegian University of Science and Technology, Trondheim, Norway.
Tamara KredoCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
University of Calabar · NGWestern Cape Department of Health · ZAKamuzu Central Hospital · MWSouth African Medical Research Council · ZALovisenberg Diakonale Høgskole · NONorwegian University of Science and Technology · NO

Funding

European and Developing Countries Clinical Trials Partnership RIA2020S-3303-GELA
6 · The paper itself

Abstract

backgroundSub-Saharan Africa is the region with the highest under-five mortality rate globally. Child healthcare decisions should be based on rigorously developed evidence-informed guidelines. The Global Evidence, Local Adaptation (GELA) project is enhancing capacity to use global research to develop locally relevant guidelines for newborn and child health in South Africa (SA), Malawi, and Nigeria. The first step in this process was to identify national priorities for newborn and child health guideline development, and this paper describes our approach.

methodsWe followed a good practice method for priority setting, including stakeholder engagement, online priority setting surveys and consensus meetings, conducted separately in South Africa, Malawi and Nigeria. We established national Steering Groups (SG), comprising 10-13 members representing government, academia, and other stakeholders, identified through existing contacts and references, who helped prioritise initial topics identified by research teams and oversaw the process. Various stakeholders were consulted via online surveys to rate the importance of topics, with results informing consensus meetings with SGs where final priority topics were agreed.

resultsBased on survey results, nine, 10 and 11 topics were identified in SA, Malawi, and Nigeria respectively, which informed consensus meetings. Through voting and discussion within meetings, and further engagement after the meetings, the top three priority topics were identified in each country. In SA, the topics concerned anemia prevention in infants and young children and post-discharge support for caregivers of preterm and LBW babies. In Malawi, they focused on enteral nutrition in critically ill children, diagnosis of childhood cancers in the community, and caring for neonates. In Nigeria, the topics focused on identifying pre-eclampsia in the community, hand hygiene compliance to prevent infections, and enteral nutrition for LBW and preterm infants.

conclusionsThrough dynamic and iterative stakeholder engagement, we identified three priority topics for guideline development on newborn and child health in SA, Malawi and Nigeria. Topics were specific to contexts, with no overlap, which highlights the importance of contextualised priority setting as well as of the relationships with key decisionmakers who help define the priorities.

Indexed as

AftercareChild HealthChildChild, PreschoolFemaleHealth PrioritiesHumansInfantInfant, NewbornInfant, PrematureMalawiNigeriaPatient DischargePregnancySouth AfricaClinical practice guidelinesHealth policyInfant and child healthNewbornPriority settingSub-Saharan Africa

Identifiers

PMID38627761
PMCPMC11020907
OpenAlexW4394854895

What OpenQuestion holds

Textmetadata
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.