Evidence map›Paper›PMID 35733204›Full record

ArticleReproductive health2022

Spatial variations in family planning demand to limit childbearing and the demand satisfied with modern methods in sub-Saharan Africa.

Babayemi O Olakunde, Jennifer R Pharr, Daniel A Adeyinka, Lung-Chang Chien, Rebecca D Benfield, Francisco S Sy

Open access · goldAbstract read
In one paragraph

Article in Reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Babayemi O OlakundeDepartment of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, NV, USA. boolakunde@yahoo.com.ORCID http://orcid.org/0000-0002-0864-6901
Jennifer R PharrDepartment of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, NV, USA.
Daniel A AdeyinkaDepartment of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Canada.
Lung-Chang ChienDepartment of Epidemiology and Biostatistics, School of Public Health, University of Nevada, Las Vegas, NV, USA.
Rebecca D BenfieldSchool of Nursing, University of Nevada, Las Vegas, NV, USA.
Francisco S SyDepartment of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, NV, USA.
University of Nevada, Las Vegas · USFederal Ministry of Health · NGUniversity of Nigeria · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an increasing demand for family planning to limit childbearing in sub-Saharan Africa (SSA). However, limited studies have quantified the spatial variations. This study examined: (i) the spatial patterns in the demand for family planning to limit childbearing and satisfied with modern methods, and (ii) the correlates of the demand for family planning to limit childbearing satisfied with modern methods in SSA.

methodsThis study analyzed secondary data on 306,080 married/in-union women obtained from Demographic Health Surveys conducted between 2010 and 2019 in 33 sub-Saharan African countries. We conducted exploratory spatial data analysis, with countries as the unit of analysis. We also performed regression analysis to determine the factors associated with demand for family planning to limit childbearing satisfied with modern methods in SSA.

resultsThe mean percentage of women who demanded for family planning to limit childbearing by country was 20.5% while the mean prevalence of demand for family planning to limit childbearing satisfied with modern methods by country was 46.5%. There was a significant positive global spatial autocorrelation in the demand for family planning to limit childbearing (global Moran's I = 0.3, p = 0.001). The cluster map showed the concentration of cold spots (low-low clusters) in western and central Africa (WCA), while hot spots (high-high clusters) were concentrated in eastern and southern Africa (ESA). Also, the demand for family planning to limit childbearing satisfied with modern methods showed significant positive global spatial autocorrelation (global Moran's I = 0.2, p = 0.004) and concentration of cold spots in WCA. In the final multivariable regression model the joint family planning decision making (β = 0.34, p < 0.001), and antenatal care (β = 13.98, p < 0.001) were the significant factors associated with the demand for family planning to limit childbearing satisfied by modern methods.

conclusionsThere are significant spatial variations in the demand for family planning to limit childbearing and the demand satisfied by modern methods, with cold spots concentrated in WCA. Promoting joint decision making by partners and increasing uptake of antenatal care may improve the demand for family planning to limit childbearing satisfied with modern methods.

Indexed as

Contraception BehaviorFamily Planning ServicesAfrica South of the SaharaContraceptionFemaleHealth SurveysHumansPersonal SatisfactionPregnancyDemand satisfiedFertility-limiting behavior, geographical distributionSpatial analysis, Family planning

Identifiers

PMID35733204
PMCPMC9215060
OpenAlexW4283376391

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.