Evidence map›Paper›PMID 25377337›Full record

ArticleGlobal health action2014

Estimating cause of adult (15+ years) death using InterVA-4 in a rural district of southern Ghana.

Elizabeth Awini, Doris Sarpong, Alexander Adjei, Alfred Kwesi Manyeh, Alberta Amu, Patricia Akweongo, Philip Adongo, Vida Kukula, Gabriel Odonkor, Solomon Narh and 1 more

Abstract read
In one paragraph

Article in Global health action, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
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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

15 citing papers in PubMed, 2 syntheses or guidelines 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

11 authors.

Elizabeth AwiniDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana; INDEPTH Network, Accra, Ghana; awini.elizabeth@gmail.com.
Doris SarpongDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.
Alexander AdjeiDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.
Alfred Kwesi ManyehDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.
Alberta AmuDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.
Patricia AkweongoDodowa Health Research Centre, Dodowa, Ghana; INDEPTH Network, Accra, Ghana.
Philip AdongoDodowa Health Research Centre, Dodowa, Ghana; INDEPTH Network, Accra, Ghana.
Vida KukulaDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana; INDEPTH Network, Accra, Ghana.
Gabriel OdonkorDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.
Solomon NarhDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.
Margaret GyapongDodowa Health Research Centre, Dodowa, Ghana; School of Public Health, University of Ghana, Accra, Ghana.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundData needed to estimate causes of death and the pattern of these deaths are scarce in sub-Saharan Africa. Such data are very important for targeting, monitoring, and evaluating health interventions.

objectiveTo estimate the mortality rate and determine causes of death among adults (aged 15 years and older) in a rural district of southern Ghana, using the InterVA-4 model.

designData used were generated from verbal autopsies conducted for registered adult members of the Dodowa Health and Demographic Surveillance System who died between 2006 and 2010. The InterVA-4 model was used to assign the cause of death.

resultsOverall, the mortality rate for the period under review was 7.5/1,000 person-years (py) for the general population and 10.4/1,000 py for those aged 15 and older. The leading cause of death was communicable diseases (CDs), with a malaria-specific mortality rate of 1.06/1,000 py. Pulmonary tuberculosis (TB)-specific mortality rate was the next highest (1.01/1,000 py). HIV/AIDS attributed deaths were lower among males than females. Non-communicable diseases (NCDs) contributed to 28.3% of the deaths with cause-specific mortality rate of 2.93/1,000 py. Stroke topped the list with cause-specific mortality rate of 0.69/1,000 py. As expected, young males (15-49 years) contributed to more road traffic accident (RTA) deaths; they had a lower RTA cause-specific mortality rate than older males (50-64 years).

conclusionsData indicate that CDs (e.g. malaria and TB) remain the major cause of death with NCDs (e.g. stroke) following closely behind. Verbal autopsy data can provide the causes of mortality in poorly resourced settings where access to timely and accurate data is scarce.

Indexed as

Cause of DeathAdolescentAdultAgedAutopsyData CollectionFemaleGhanaHumansMaleMiddle AgedMortalityPopulation SurveillanceRural PopulationSoftwareadultscause of deathDodowaGhanaHealth and Demographic Surveillance SystemInterVA-4verbal autopsy

Identifiers

PMID25377337
PMCPMC4220134

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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.