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The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data

Arriving at a consensus between multiple clinical opinions concerning a particular case is a complex issue - and may give rise to manifestations of the democratic fallacy, whereby a majority opinion is misconstrued to represent some kind of "truth" and minority opinions are somehow "w...

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Autor principal: Byass, Peter
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026021/
https://www.ncbi.nlm.nih.gov/pubmed/21223568
http://dx.doi.org/10.1186/1742-7622-8-1
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author Byass, Peter
author_facet Byass, Peter
author_sort Byass, Peter
collection PubMed
description Arriving at a consensus between multiple clinical opinions concerning a particular case is a complex issue - and may give rise to manifestations of the democratic fallacy, whereby a majority opinion is misconstrued to represent some kind of "truth" and minority opinions are somehow "wrong". Procedures for handling multiple clinical opinions in epidemiological research are not well established, and care is needed to avoid logical errors. How to handle physicians' opinions on cause of death is one important domain of concern in this respect. Whether multiple opinions are a legal requirement, for example ahead of cremating a body, or used for supposedly greater rigour, for example in verbal autopsy interpretation, it is important to have a clear understanding of what unanimity or disagreement in findings might imply, and of how to aggregate case data accordingly. In many settings where multiple physicians have interpreted verbal autopsy material, an over-riding goal of arriving at a single cause of death per case has been applied. In many instances this desire to constrain findings to a single cause per case has led to methodologically awkward devices such as "TB/AIDS" as a single cause. This has also usually meant that no sense of disagreements or uncertainties at the case level is taken forward into aggregated data analyses, and in many cases an "indeterminate" cause may be recorded which actually reflects a lack of agreement rather than a lack of data on possible cause(s). In preparing verbal autopsy material for epidemiological analyses and public health interpretations, the possibility of multiple causes of death per case, and some sense of any disagreement or uncertainty encountered in interpretation at the case level, need to be captured and incorporated into overall findings, if evidence is not to be lost along the way. Similar considerations may apply in other epidemiological domains.
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spelling pubmed-30260212011-01-25 The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data Byass, Peter Emerg Themes Epidemiol Analytic Perspective Arriving at a consensus between multiple clinical opinions concerning a particular case is a complex issue - and may give rise to manifestations of the democratic fallacy, whereby a majority opinion is misconstrued to represent some kind of "truth" and minority opinions are somehow "wrong". Procedures for handling multiple clinical opinions in epidemiological research are not well established, and care is needed to avoid logical errors. How to handle physicians' opinions on cause of death is one important domain of concern in this respect. Whether multiple opinions are a legal requirement, for example ahead of cremating a body, or used for supposedly greater rigour, for example in verbal autopsy interpretation, it is important to have a clear understanding of what unanimity or disagreement in findings might imply, and of how to aggregate case data accordingly. In many settings where multiple physicians have interpreted verbal autopsy material, an over-riding goal of arriving at a single cause of death per case has been applied. In many instances this desire to constrain findings to a single cause per case has led to methodologically awkward devices such as "TB/AIDS" as a single cause. This has also usually meant that no sense of disagreements or uncertainties at the case level is taken forward into aggregated data analyses, and in many cases an "indeterminate" cause may be recorded which actually reflects a lack of agreement rather than a lack of data on possible cause(s). In preparing verbal autopsy material for epidemiological analyses and public health interpretations, the possibility of multiple causes of death per case, and some sense of any disagreement or uncertainty encountered in interpretation at the case level, need to be captured and incorporated into overall findings, if evidence is not to be lost along the way. Similar considerations may apply in other epidemiological domains. BioMed Central 2011-01-11 /pmc/articles/PMC3026021/ /pubmed/21223568 http://dx.doi.org/10.1186/1742-7622-8-1 Text en Copyright ©2011 Byass; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Analytic Perspective
Byass, Peter
The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
title The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
title_full The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
title_fullStr The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
title_full_unstemmed The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
title_short The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
title_sort democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data
topic Analytic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026021/
https://www.ncbi.nlm.nih.gov/pubmed/21223568
http://dx.doi.org/10.1186/1742-7622-8-1
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