Evidence map›Paper›PMID 23273249›Full record

ArticleGlobal health action2012

Demographic patterns and trends in Central Ghana: baseline indicators from the Kintampo Health and Demographic Surveillance System.

Seth Owusu-Agyei, Obed Ernest A Nettey, Charles Zandoh, Abubakari Sulemana, Robert Adda, Seeba Amenga-Etego, Cheikh Mbacke

Abstract read
In one paragraph

Article in Global health action, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
–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

83 citing papers in PubMed.

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  14. Prediction of personal exposure to PMJournal of exposure science & environmental epidemiology · 2022
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23 more citing papers are in PubMed but not listed here.

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.

Seth Owusu-AgyeiKintampo Health Research Centre, Kintampo, Ghana. seth.owusu-agyei@kintampo-hrc.org
Obed Ernest A Nettey
Charles Zandoh
Abubakari Sulemana
Robert Adda
Seeba Amenga-Etego
Cheikh Mbacke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dearth of health and demographic data in sub-Saharan Africa from vital registration systems and its impact on effective planning for health and socio-economic development is widely documented. Health and Demographic Surveillance Systems have the capacity to address the dearth of quality data for policy making in resource-poor settings.

objectiveThis article demonstrates the utility of the Kintampo Health and Demographic Surveillance System (KHDSS) by showing the patterns and trends of population change from 2005 to 2009 in the Kintampo North Municipality and Kintampo South districts of Ghana through data obtained from the KHDSS biannual update rounds.

designBasic demographic rates for fertility, mortality, and migration were computed by year. School enrolment was computed as a percentage in school by age and sex for 6-18 year-olds. Socio-economic status was derived by use of Principal Components Analysis on household assets.

resultsOver the period, an earlier fertility decline was reversed in 2009; mortality declined slightly for all age-groups, and a significant share of working-age population was lost through out-migration. Large minorities of children of school-going age are not in school. Socio-economic factors are shown to be important determinants of fertility and mortality.

conclusionStrengthening the capacity of HDSSs could offer added value to evidence-driven policymaking at local level.

Indexed as

Population SurveillanceAdolescentAdultAgedAged, 80 and overBirth RateChildChild, PreschoolDemographyDeveloping CountriesFemaleGhanaHumansInfantInfant, NewbornMale

Identifiers

PMID23273249
PMCPMC3529298

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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.