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Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India

BACKGROUND: The Indian Sample Registration System (SRS) with verbal autopsy methods provides estimations of cause specific mortality for maternal deaths, where the majority of deaths occur at home, unregistered. We aim to examine factors that influence physician agreement and coding choices in assig...

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Autores principales: Montgomery, Ann L., Morris, Shaun K., Bassani, Diego G., Kumar, Rajesh, Jotkar, Raju, Jha, Prabhat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314652/
https://www.ncbi.nlm.nih.gov/pubmed/22470436
http://dx.doi.org/10.1371/journal.pone.0033075
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author Montgomery, Ann L.
Morris, Shaun K.
Bassani, Diego G.
Kumar, Rajesh
Jotkar, Raju
Jha, Prabhat
author_facet Montgomery, Ann L.
Morris, Shaun K.
Bassani, Diego G.
Kumar, Rajesh
Jotkar, Raju
Jha, Prabhat
author_sort Montgomery, Ann L.
collection PubMed
description BACKGROUND: The Indian Sample Registration System (SRS) with verbal autopsy methods provides estimations of cause specific mortality for maternal deaths, where the majority of deaths occur at home, unregistered. We aim to examine factors that influence physician agreement and coding choices in assigning causes of death from verbal autopsies. METHODOLOGY/PRINCIPAL FINDINGS: Among adult deaths identified in the SRS, pregnancy-related deaths recorded in 2001–2003 were assigned ICD-10 codes by two independent physicians. Inter-rater reliability was estimated using Landis Koch Kappa classification [Image: see text] [Image: see text]– poor to fair agreement; >[Image: see text] [Image: see text] [Image: see text]– moderate agreement; >[Image: see text] [Image: see text] [Image: see text]– substantial agreement; >[Image: see text]– high agreement. We identified factors associated with physician agreement using multivariate logistic regression. A central consensus panel reviewed cases for errors and reclassified as needed based on 2011 ICD-10 coding guidelines. Of 1130 pregnancy-related deaths, 1040 were assigned ICD-10 codes by two physicians. We found substantial agreement regardless of the woman's residence, whether the death was registered, religion, respondent's or deceased's education, age, hospital admission or gestational age. Physician agreement was not influenced by the above variables, with the exception of greater agreement in cases where the respondent did not live with the deceased, or early gestational age at the time of death. A central consensus panel reviewed all cases and recoded 10% of cases due to insufficient use of information in the verbal autopsy by the coding physicians and rationale for this reclassification are discussed. CONCLUSION: In the absence of complete vital registration and universal healthcare services, physician coded verbal autopsies continues to be heavily relied upon to ascertain pregnancy-related death. From this study, two independent physicians had good inter-rater reliability for assigning pregnancy-related causes of death in a nationally-represented sample, and physician coding does not appear to be heavily influenced by case characteristics or demographics.
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spelling pubmed-33146522012-04-02 Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India Montgomery, Ann L. Morris, Shaun K. Bassani, Diego G. Kumar, Rajesh Jotkar, Raju Jha, Prabhat PLoS One Research Article BACKGROUND: The Indian Sample Registration System (SRS) with verbal autopsy methods provides estimations of cause specific mortality for maternal deaths, where the majority of deaths occur at home, unregistered. We aim to examine factors that influence physician agreement and coding choices in assigning causes of death from verbal autopsies. METHODOLOGY/PRINCIPAL FINDINGS: Among adult deaths identified in the SRS, pregnancy-related deaths recorded in 2001–2003 were assigned ICD-10 codes by two independent physicians. Inter-rater reliability was estimated using Landis Koch Kappa classification [Image: see text] [Image: see text]– poor to fair agreement; >[Image: see text] [Image: see text] [Image: see text]– moderate agreement; >[Image: see text] [Image: see text] [Image: see text]– substantial agreement; >[Image: see text]– high agreement. We identified factors associated with physician agreement using multivariate logistic regression. A central consensus panel reviewed cases for errors and reclassified as needed based on 2011 ICD-10 coding guidelines. Of 1130 pregnancy-related deaths, 1040 were assigned ICD-10 codes by two physicians. We found substantial agreement regardless of the woman's residence, whether the death was registered, religion, respondent's or deceased's education, age, hospital admission or gestational age. Physician agreement was not influenced by the above variables, with the exception of greater agreement in cases where the respondent did not live with the deceased, or early gestational age at the time of death. A central consensus panel reviewed all cases and recoded 10% of cases due to insufficient use of information in the verbal autopsy by the coding physicians and rationale for this reclassification are discussed. CONCLUSION: In the absence of complete vital registration and universal healthcare services, physician coded verbal autopsies continues to be heavily relied upon to ascertain pregnancy-related death. From this study, two independent physicians had good inter-rater reliability for assigning pregnancy-related causes of death in a nationally-represented sample, and physician coding does not appear to be heavily influenced by case characteristics or demographics. Public Library of Science 2012-03-28 /pmc/articles/PMC3314652/ /pubmed/22470436 http://dx.doi.org/10.1371/journal.pone.0033075 Text en Montgomery et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Montgomery, Ann L.
Morris, Shaun K.
Bassani, Diego G.
Kumar, Rajesh
Jotkar, Raju
Jha, Prabhat
Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India
title Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India
title_full Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India
title_fullStr Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India
title_full_unstemmed Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India
title_short Factors Associated with Physician Agreement and Coding Choices of Cause of Death Using Verbal Autopsies for 1130 Maternal Deaths in India
title_sort factors associated with physician agreement and coding choices of cause of death using verbal autopsies for 1130 maternal deaths in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314652/
https://www.ncbi.nlm.nih.gov/pubmed/22470436
http://dx.doi.org/10.1371/journal.pone.0033075
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