Evidence map›Paper›PMID 27553956›Full record

ArticleReproductive health2016

Mapping adolescent first births within three east African countries using data from Demographic and Health Surveys: exploring geospatial methods to inform policy.

Sarah Neal, Corrine Ruktanonchai, Venkatraman Chandra-Mouli, Zoë Matthews, Andrew J Tatem

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Reproductive health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

5 authors at 2 institutions in 3 countries.

Sarah NealDepartment of Social Statistics and Demography, University of Southampton, Southampton, SO17 1BJ, England. S.Neal@soton.ac.uk.
Corrine RuktanonchaiWorldPop, Department of Geography and Environment, University of Southampton, Southampton, SO17 1BJ, UK.
Venkatraman Chandra-MouliAdolescents and at-risk populations, Department of Reproductive Health and Research, World Health Organization, 20 Avenue Appia, 1211, Geneva 27, Switzerland.
Zoë MatthewsDepartment of Social Statistics and Demography, University of Southampton, Southampton, SO17 1BJ, England.
Andrew J TatemWorldPop, Department of Geography and Environment, University of Southampton, Southampton, SO17 1BJ, UK.
University of Southampton · GBWorld Health Organization · CH

Funding

Wellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

backgroundEarly adolescent pregnancy presents a major barrier to the health and wellbeing of young women and their children. Previous studies suggest geographic heterogeneity in adolescent births, with clear "hot spots" experiencing very high prevalence of teenage pregnancy. As the reduction of adolescent pregnancy is a priority in many countries, further detailed information of the geographical areas where they most commonly occur is of value to national and district level policy makers. The aim of this study is to develop a comprehensive assessment of the geographical distribution of adolescent first births in Uganda, Kenya and Tanzania using Demographic and Household (DHS) data using descriptive, spatial analysis and spatial modelling methods.

methodsThe most recent Demographic and Health Surveys (DHS) among women aged 20 to 29 in Tanzania, Kenya, and Uganda were utilised. Analyses were carried out on first births occurring before the age of 20 years, but were disaggregated in to three age groups: <16, 16/17 and 18/19 years. In addition to basic descriptive choropleths, prevalence maps were created from the GPS-located cluster data utilising adaptive bandwidth kernel density estimates. To map adolescent first birth at district level with estimates of uncertainty, a Bayesian hierarchical regression modelling approach was used, employing the Integrated Nested Laplace Approximation (INLA) technique.

resultsThe findings show marked geographic heterogeneity among adolescent first births, particularly among those under 16 years. Disparities are greater in Kenya and Uganda than Tanzania. The INLA analysis which produces estimates from smaller areas suggest "pockets" of high prevalence of first births, with marked differences between neighbouring districts. Many of these high prevalence areas can be linked with underlying poverty.

conclusionsThere is marked geographic heterogeneity in the prevalence of adolescent first births in East Africa, particularly in the youngest age groups. Geospatial techniques can identify these inequalities and provide policy-makers with the information needed to target areas of high prevalence and focus scarce resources where they are most needed.

Indexed as

Health PolicyAdolescentAfrica, EasternAge FactorsEducational StatusFemaleGeographic Information SystemsGeographic MappingHealth Status DisparitiesHealth SurveysHumansPovertyPregnancyPregnancy in AdolescencePrevalenceYoung AdultAdolescentFertilityInequalitySmall area estimationSpatial analysis

Identifiers

PMID27553956
PMCPMC4994382
OpenAlexW2517783253

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.