Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data

<p>Abstract</p> <p>Background</p> <p>The process of data collection and the methods used to assign the cause of death vary significantly among different verbal autopsy protocols, but there are few data to describe the consequences of the choices made. The aim of this st...

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Main Authors: Chow Clara, Praveen Devarsetty, Joshi Rohina, Neal Bruce
Format: Article
Language:English
Published: BMC 2011-08-01
Series:Population Health Metrics
Subjects:
Online Access:http://www.pophealthmetrics.com/content/9/1/33
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spelling doaj-0153006a0d984ec0ba35545fbfe082a32020-11-25T00:38:07ZengBMCPopulation Health Metrics1478-79542011-08-01913310.1186/1478-7954-9-33Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy dataChow ClaraPraveen DevarsettyJoshi RohinaNeal Bruce<p>Abstract</p> <p>Background</p> <p>The process of data collection and the methods used to assign the cause of death vary significantly among different verbal autopsy protocols, but there are few data to describe the consequences of the choices made. The aim of this study was to objectively define the impact of the format of data presented to physician reviewers on the cause-specific mortality fractions defined by a verbal autopsy-based mortality-surveillance system.</p> <p>Methods</p> <p>Verbal autopsies were done by primary health care workers for all deaths between October 2006 and September 2007 in a community in rural Andhra Pradesh, India (total population about 180,162). Each questionnaire had a structured section, composed of a series of check boxes, and a free-text section, in which a narrative description of the events leading to death was recorded. For each death, a physician coder was presented first with one section and then the other in random order with a 20- to 40-day interval between. A cause of death was recorded for each data format at the level of ICD 10 chapter headings or else the death was documented as unclassified. After another 20- to 40-day interval, both the structured and free-text sections of the questionnaire were presented together and an index cause of death was assigned.</p> <p>Results</p> <p>In all, 1,407 verbal autopsies were available for analysis, representing 94% of all deaths recorded in the population that year. An index cause of death was assigned using the combined data for 1,190 with the other 217 remaining unclassified. The observed cause-specific mortality fractions were the same regardless of whether the structured, free-text or combined data sources were used. At the individual level, the assignments made using the structured format matched the index in 1,012 (72%) of cases with a kappa statistic of 0.66. For the free-text format, the corresponding figures were 989 (70%) and 0.64.</p> <p>Conclusions</p> <p>The format of the verbal autopsy data used to assign a cause of death did not substantively influence the pattern of mortality estimated. Substantially abbreviated and simplified verbal autopsy questionnaires might provide robust information about high-level mortality patterns.</p> http://www.pophealthmetrics.com/content/9/1/33verbal autopsyquestionnaire formatphysician reviewermortality
collection DOAJ
language English
format Article
sources DOAJ
author Chow Clara
Praveen Devarsetty
Joshi Rohina
Neal Bruce
spellingShingle Chow Clara
Praveen Devarsetty
Joshi Rohina
Neal Bruce
Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
Population Health Metrics
verbal autopsy
questionnaire format
physician reviewer
mortality
author_facet Chow Clara
Praveen Devarsetty
Joshi Rohina
Neal Bruce
author_sort Chow Clara
title Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
title_short Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
title_full Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
title_fullStr Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
title_full_unstemmed Effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
title_sort effects on the estimated cause-specific mortality fraction of providing physician reviewers with different formats of verbal autopsy data
publisher BMC
series Population Health Metrics
issn 1478-7954
publishDate 2011-08-01
description <p>Abstract</p> <p>Background</p> <p>The process of data collection and the methods used to assign the cause of death vary significantly among different verbal autopsy protocols, but there are few data to describe the consequences of the choices made. The aim of this study was to objectively define the impact of the format of data presented to physician reviewers on the cause-specific mortality fractions defined by a verbal autopsy-based mortality-surveillance system.</p> <p>Methods</p> <p>Verbal autopsies were done by primary health care workers for all deaths between October 2006 and September 2007 in a community in rural Andhra Pradesh, India (total population about 180,162). Each questionnaire had a structured section, composed of a series of check boxes, and a free-text section, in which a narrative description of the events leading to death was recorded. For each death, a physician coder was presented first with one section and then the other in random order with a 20- to 40-day interval between. A cause of death was recorded for each data format at the level of ICD 10 chapter headings or else the death was documented as unclassified. After another 20- to 40-day interval, both the structured and free-text sections of the questionnaire were presented together and an index cause of death was assigned.</p> <p>Results</p> <p>In all, 1,407 verbal autopsies were available for analysis, representing 94% of all deaths recorded in the population that year. An index cause of death was assigned using the combined data for 1,190 with the other 217 remaining unclassified. The observed cause-specific mortality fractions were the same regardless of whether the structured, free-text or combined data sources were used. At the individual level, the assignments made using the structured format matched the index in 1,012 (72%) of cases with a kappa statistic of 0.66. For the free-text format, the corresponding figures were 989 (70%) and 0.64.</p> <p>Conclusions</p> <p>The format of the verbal autopsy data used to assign a cause of death did not substantively influence the pattern of mortality estimated. Substantially abbreviated and simplified verbal autopsy questionnaires might provide robust information about high-level mortality patterns.</p>
topic verbal autopsy
questionnaire format
physician reviewer
mortality
url http://www.pophealthmetrics.com/content/9/1/33
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