Evidence map›Paper›PMID 33097088›Full record

ArticleReproductive health2020

Socio-economic and demographic predictors of unmet need for contraception among young women in sub-Saharan Africa: evidence from cross-sectional surveys.

Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Abdul-Aziz Seidu

Open access · goldAbstract read
In one paragraph

Article in Reproductive health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
15.7field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 84 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 2 institutions in 2 countries.

Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.
Edward Kwabena AmeyawSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.
Abdul-Aziz SeiduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana. abdul-aziz.seidu@stu.ucc.edu.gh.ORCID http://orcid.org/0000-0001-9734-9054
University of Technology Sydney · AUUniversity of Cape Coast · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlobally, sub-Saharan Africa (SSA) bears the highest proportion of women with unmet need for contraception as nearly 25% of women of reproductive age in the sub-region have unmet need for contraception. Unmet need for contraception is predominant among young women. We examined the association between socio-economic and demographic factors and unmet need for contraception among young women in SSA.

methodsData for this study obtained from current Demographic and Health Surveys (DHS) conducted between January 1, 2010 and December 31, 2018 in 30 sub-Saharan African countries. The sample size consisted of young women (aged 15-24), who were either married or cohabiting and had complete cases on all the variables of interest (N = 59,864). Both bivariate and multivariable binary logistic regression analyses were performed using STATA version 14.0.

resultsThe overall prevalence of unmet need for contraception among young women was 26.90% [95% CI: 23.82-29.921], ranging from 11.30% [95% CI: 5.1-17.49] in Zimbabwe to 46.7% [95% CI: 36.92-56.48] in Comoros. Results on socio-economic status and unmet need for contraception showed that young women who had primary [aOR = 1.18; CI = 1.12-1.25, p < 0.001] and secondary/higher levels of formal education [aOR = 1.27; CI = 1.20-1.35, p < 0.001] had higher odds of unmet need for contraception compared to those with no formal education. With wealth status, young women in the richest wealth quintile had lower odds of unmet need for contraception compared with those in the poorest wealth quintile [aOR = 0.89; CI = 0.81-0.97, p < 0.01]. With the demographic factors, the odds of unmet need for contraception was lower among young women aged 20-24 [aOR = 0.74; CI = 0.70-0.77, p < 0.001], compared with 15-19 aged young women. Also, young women who were cohabiting had higher odds of unmet need for contraception compared to those who were married [aOR = 1.35; CI = 1.28-1.43, p < 0.001].

conclusionOur study has demonstrated that unmet need for contraception is relatively high among young women in SSA and this is associated with socio-economic status. Age, marital status, parity, occupation, sex of household head, and access to mass media (newspaper) are also associated with unmet need for contraception. It is therefore, prudent that organisations such as UNICEF and UNFPA and the Bill & Melinda Gates Foundation who have implemented policies and programmes on contraception meant towards reducing unmet need for contraception among women take these factors into consideration when designing interventions in sub-Saharan African countries to address the problem of high unmet need for contraception among young women.

Indexed as

Socioeconomic FactorsAdolescentAdultAfrica South of the SaharaAgedContraceptionContraception BehaviorContraceptive AgentsCross-Sectional StudiesFamily Planning ServicesFemaleHealth Services AccessibilityHealth Services Needs and DemandHealth SurveysHumansMaleContraceptive AgentsContraceptionPublic healthReproductive healthSocio-economic statusSub-Saharan AfricaUnmet needYoung women

Identifiers

PMID33097088
PMCPMC7585192
OpenAlexW3094529865

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.