Evidence map›Paper›PMID 26173990›Full record

ArticleBMC public health2015

How much do the physician review and InterVA model agree in determining causes of death? A comparative analysis of deaths in rural Ethiopia.

Berhe Weldearegawi, Yohannes Adama Melaku, Geert Jan Dinant, Mark Spigt

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Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Berhe WeldearegawiDepartment of Public Health, Mekelle University, Mekelle, Ethiopia. berheph@gmail.com.
Yohannes Adama MelakuDepartment of Public Health, Mekelle University, Mekelle, Ethiopia. adamayohannes@gmail.com.
Geert Jan DinantCAPHRI, School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands. geertjan.dinant@maastrichtuniversity.nl.
Mark SpigtDepartment of Public Health, Mekelle University, Mekelle, Ethiopia. m.spigt@maastrichtuniversity.nl.

Funding

NCHHSTP CDC HHS 5U22/PS022179_10NCHHSTP CDC HHS U22 PS022179
6 · The paper itself

Abstract

backgroundDespite it is costly, slow and non-reproducible process, physician review (PR) is a commonly used method to interpret verbal autopsy data. However, there is a growing interest to adapt a new automated and internally consistent method called InterVA. This study evaluated the level of agreement in determining causes of death between PR and the InterVA model.

methodsVerbal autopsy data for 434 cases collected between September 2009 and November 2012, were interpreted using both PR and the InterVA model. Cohen's kappa statistic (κ) was used to compare the level of chance corrected case-by-case agreement in the diagnosis reached by the PR and InterVA model.

resultsBoth methods gave comparable cause specific mortality fractions of communicable diseases (36.6% by PR and 36.2% by the model), non-communicable diseases (31.1% by PR and 38.2% by the model) and accidents/injuries (12.9% by PR and 10.1% by the model). The level of case-by-case chance corrected concordance between the two methods was 0.33 (95% CI for κ = 0.29-0.34). The highest and lowest agreements were seen for accidents/injuries and non-communicable diseases; with κ = 0.75 and κ = 0.37, respectively.

conclusionIf the InterVA were used in place of the existing PR process, the overall diagnosis would be fairly similar. The methods had better agreement in important public health diseases like; TB, perinatal causes, and pneumonia/sepsis; and lower in cardiovascular diseases and neoplasms. Therefore, both methods need to be validated against a gold-standard diagnosis of death.

Indexed as

Cause of DeathPhysiciansRural PopulationAccidentsAutopsyChronic DiseaseCommunicable DiseasesEthiopiaHealth Services Needs and DemandHumansModels, StatisticalProbabilityPublic HealthReproducibility of ResultsResearch DesignWounds and Injuries

Identifiers

PMID26173990
PMCPMC4503295

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