Evidence map›Paper›PMID 36398014›Full record

ArticleJournal of Taibah University Medical Sciences2023

Family planning method discontinuation among Nigerian women: Evidence from the Nigeria Demographic and Health Survey 2018.

Richard D Agbana, Turnwait O Michael, Tolulope F Ojo

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

3 authors.

Richard D AgbanaDepartment of Community Medicine, Afe Babalola University, Ado-Ekiti, Nigeria.
Turnwait O MichaelDemography and Population Studies Unit, Department of Sociology, University of Ibadan, Ibadan, Nigeria.
Tolulope F OjoDepartment of Public Health, Afe Babalola University, Ado-Ekiti, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The cessation of family planning among sexually active women who do not intend to have children increases the number of unplanned pregnancies and the risks to maternal health. This study examined the predictors of family planning method discontinuation among sexually active Nigerian women. Methods: Data from the Nigeria Demographic and Health Survey (NDHS) were used. A total of 4553 women 15-49 years of age who had stopped using family planning methods in the previous 5 years were included in the study. Descriptive and binary logistic regression were used in the analysis. Results: More than 60% of the women sampled had stopped family planning and had no intention of having children. Respondents discontinued family planning because of adverse effects (15.2%) and method failure (12.9%). Predictors of modern family planning discontinuation were secondary education (OR = 1.302, 95% CI: 1.006-1.685), Islamic religion (OR = 1.281, 95% CI: 1.059-1.550), residence in the South-East geopolitical zone (OR = 0.248, 95% CI: 0.195-0.316), having three or more children (OR = 0.848, 95% CI: 0.735-0.978) and having paid employment (OR = 0.838, 95% CI: 0.715-0.982). Conclusion: Socio-economic and cultural factors influence discontinuation of family planning among Nigerian women. Policy options are needed to increase family planning uptake, identify common adverse effects of family planning and focus on raising public awareness regarding the negative consequences of discontinuing family planning on individuals, families and the nation.

Indexed as

Adverse effectsDiscontinuationFamily planningNigeriaSexually active women

Identifiers

PMID36398014
PMCPMC9643553

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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.