Evidence map›Paper›PMID 32649697›Full record

ArticlePloS one2020

Female adolescents' reproductive health decision-making capacity and contraceptive use in sub-Saharan Africa: What does the future hold?

Bright Opoku Ahinkorah, John Elvis Hagan, Abdul-Aziz Seidu, Francis Sambah, Faustina Adoboi, Thomas Schack, Eugene Budu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 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

7 authors at 4 institutions in 3 countries.

Bright Opoku AhinkorahThe Australian Centre for Public and Population Health Research [ACPPHR], Faculty of Health, University of Technology Sydney, Sydney, Australia.
John Elvis HaganDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0003-3530-6133
Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0001-9734-9054
Francis SambahDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.
Faustina AdoboiCape Coast Nursing and Midwifery Training College, Cape Coast, Ghana.
Thomas SchackNeurocognition and Action-Biomechanics-Research Group, Faculty of Psychology and Sport Sciences, Bielefeld University, Bielefeld, Germany.
Eugene BuduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
University of Cape Coast · GHBielefeld University · DENurses' Training College, Ho · GHUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGiven the social, economic, and health consequences of early parenthood, unintended pregnancy, and the risks of HIV infection and subsequent transmission, there is an urgent need to understand how adolescents make sexual and reproductive decisions regarding contraceptive use. This study sought to assess the association between female adolescents' reproductive health decision-making capacity and their contraceptive usage. MATERIALS AND

methodsData was obtained from pooled current Demographic and Health Surveys (DHS) conducted in 32 countries in sub-Saharan Africa (SSA). The unit of analysis for this study was adolescents in sexual unions [n = 15,858]. Bivariate and multivariable analyses were conducted using Pearson chi-square tests and binary logistic regression respectively. All analyses were performed using STATA version 14.2. Results were presented using Odds Ratios [OR] and adjusted Odds Ratios [AOR]. Statistical significance was set at p<0.05.

resultsThe results showed that 68.66% of adolescents in SSA had the capacity to make reproductive health decisions. The overall prevalence of contraceptive use was 18.87%, ranging from 1.84% in Chad to 45.75% in Zimbabwe. Adolescents who had the capacity to take reproductive health decisions had higher odds of using contraceptives [AOR = 1.47; CI = 1.31-1.65, p < 0.001]. The odds of contraceptive use among female adolescents increased with age, with those aged 19 years having the highest likelihood of using contraceptives [AOR = 3.12; CI = 2.27-34.29, p < 0.001]. Further, the higher the level of education, the more likely female adolescents will use contraceptives, and this was more predominant among those with secondary/higher education [AOR = 2.50; CI = 2.11-2.96, p < 0.001]. Female adolescents who were cohabiting had higher odds of using contraceptives, compared to those who were married [AOR = 1.69; CI = 1.47-1.95, p < 0.001]. The odds of contraceptive use was highest among female adolescents from the richest wealth quintile, compared to those from the poorest wealth quintile [AOR = 1.65; CI = 1.35-2.01, p<0.001]. Conversely, female adolescents in rural areas were less likely to use contraceptives, compared to those in urban areas [AOR = 0.78; CI = 0.69-0.89, p < 0.001].

conclusionThe use of general and modern contraceptives among adolescents in SSA remains low. Therefore, there is a need to strengthen existing efforts on contraceptives usage among adolescents in SSA. This goal can be achieved by empowering these young females, particularly those in the rural areas where the level of literacy is very low to take positive reproductive health decisions to prevent unintended teenage pregnancy, HIV/AIDs and other sexually transmitted infections. This approach would help reduce maternal mortality and early childbirth in studied SSA countries.

Indexed as

Decision MakingHealth SurveysAdolescentAfrica South of the SaharaContraception BehaviorDemographyFemaleHumansLogistic ModelsReproductive HealthSexual BehaviorYoung Adult

Identifiers

PMID32649697
PMCPMC7351194
OpenAlexW3042114534

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.