Evidence map›Paper›PMID 33823874›Full record

ArticleReproductive health2021

Causes of short birth interval (kunika) in Bauchi State, Nigeria: systematizing local knowledge with fuzzy cognitive mapping.

Ivan Sarmiento, Umaira Ansari, Khalid Omer, Yagana Gidado, Muhammad Chadi Baba, Adamu Ibrahim Gamawa, Neil Andersson, Anne Cockcroft

Open access · goldAbstract read
In one paragraph

Article in Reproductive health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Fuzzy cognitive mapping in participatory research and decision making: a practice review.Archives of public health = Archives belges de sante publique · 2024
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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

8 authors at 3 institutions in 3 countries.

Ivan SarmientoCIET-PRAM, Department of Family Medicine, McGill University, 5858 Chemin de la Côte-des-Neiges, 3rd floor, Montreal, QC, H3S 1Z1, Canada. ivan.sarmiento@mail.mcgill.ca.ORCID http://orcid.org/0000-0003-2871-1464
Umaira AnsariCentro de Investigación de Enfermedades Tropicales (CIET), Universidad Autónoma de Guerrero, Acapulco, Mexico.
Khalid OmerCentro de Investigación de Enfermedades Tropicales (CIET), Universidad Autónoma de Guerrero, Acapulco, Mexico.
Yagana GidadoFederation of Muslim Women Association of Nigeria (FOMWAN), Bauchi State, Nigeria.
Muhammad Chadi BabaFederation of Muslim Women Association of Nigeria (FOMWAN), Bauchi State, Nigeria.
Adamu Ibrahim GamawaBauchi State Primary Health Care Development Agency, Bauchi State, Nigeria.
Neil AnderssonCIET-PRAM, Department of Family Medicine, McGill University, 5858 Chemin de la Côte-des-Neiges, 3rd floor, Montreal, QC, H3S 1Z1, Canada.
Anne CockcroftCIET-PRAM, Department of Family Medicine, McGill University, 5858 Chemin de la Côte-des-Neiges, 3rd floor, Montreal, QC, H3S 1Z1, Canada.
Universidad Autónoma de Guerrero · MXBauchi State University · NGMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShort birth intervals, defined by the World Health Organization as less than 33 months, may damage the health and wellbeing of children, mothers, and their families. People in northern Nigeria recognise many adverse effects of short birth interval (kunika in the Hausa language) but it remains common. We used fuzzy cognitive mapping to systematize local knowledge of causes of kunika to inform the co-design of culturally safe strategies to address it.

methodsMale and female groups in twelve communities built 48 maps of causes and protective factors for kunika, and government officers from the Local Government Area (LGA) and State made four maps. Each map showed causes of kunika or no-kunika, with arrows showing relationships with the outcome and between causes. Participants assigned weights for the perceived strength of relationships between 5 (strongest) and 1 (weakest). We combined maps for each group: men, women, and government officers. Fuzzy transitive closure calculated the maximum influence of each factor on the outcome, taking account of all relationships in the map. To condense the maps, we grouped individual factors into broader categories and calculated the cumulative net influence of each category. We made further summarised maps and presented these to the community mapping groups to review.

resultsThe community maps identified frequent sex, not using modern or traditional contraception, and family dynamics (such as competition between wives) as the most influential causes of kunika. Women identified forced sex and men highlighted lack of awareness about contraception and fear of side effects as important causes of kunika. Lack of male involvement featured in women's maps of causes and in the maps from LGA and State levels. Maps of protective factors largely mirrored those of the causes. Community groups readily appreciated and approved the summary maps resulting from the analysis.

conclusionsThe maps showed how kunika results from a complex network of interacting factors, with culture-specific dynamics. Simply promoting contraception alone is unlikely to be enough to reduce kunika. Outputs from transitive closure analysis can be made accessible to ordinary stakeholders, allowing their meaningful participation in interpretation and use of the findings. For people in Bauchi State, northern Nigeria, kunika describes a short interval between successive births, understood as becoming pregnant again before the previous child is weaned. They recognise it is bad for children, mothers and households. We worked with 12 communities in Bauchi to map their knowledge of the causes and protective factors for kunika. Separate groups of men and women built 48 maps, and government officers at local and state level built four maps. Each group drew two maps showing causes of kunika or of no-kunika with arrows showing the links between causes and the outcome. Participants marked the strength of each link with a number (between 5 for the strongest and 1 for the weakest). We combined maps for women, men and government officers. We grouped similar causes together into broader categories. We calculated the overall influence of each category on kunika or no-kunika and produced summary maps to communicate findings. The maps identified the strongest causes of kunika as frequent sex, not using modern or traditional contraception, and family dynamics. Women indicated forced sex as an important cause, but men focused on lack of awareness about contraception and fear of side effects. The maps of protective factors mirrored those of the causes. The groups who created the maps approved the summary maps. The maps showed the complex causes of kunika in Bauchi. Promoting contraception is unlikely to be enough on its own to reduce kunika. The summary maps will help local stakeholders to co-design culturally safe ways of reducing kunika.

Indexed as

Birth IntervalsCommunity ParticipationContraceptionFamily CharacteristicsReproductive HealthChildCognitionFamily Planning ServicesFemaleFuzzy LogicHumansMaleNigeriaPregnancyBirth spacingContraceptionDeliberative dialogueFuzzy cognitive mappingParticipatory methodsReproductive health

Identifiers

PMID33823874
PMCPMC8022364
OpenAlexW3141144869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.