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Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study

BACKGROUND: National mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions. METHODS: The sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidit...

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Autores principales: Xu, Zhiwei, Hockey, Richard, McElwee, Paul, Waller, Michael, Dobson, Annette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074356/
https://www.ncbi.nlm.nih.gov/pubmed/35524227
http://dx.doi.org/10.1186/s12889-022-13304-8
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author Xu, Zhiwei
Hockey, Richard
McElwee, Paul
Waller, Michael
Dobson, Annette
author_facet Xu, Zhiwei
Hockey, Richard
McElwee, Paul
Waller, Michael
Dobson, Annette
author_sort Xu, Zhiwei
collection PubMed
description BACKGROUND: National mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions. METHODS: The sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidity), dementia (a potential accelerant of death) and cancer (expected to be well-recorded) were calculated from death certificates for 9 056 women from the 1921–26 cohort of the Australian Longitudinal Study on Women’s Health. Log binomial regression models were fitted to examine factors associated with the sensitivity of death certificates with these conditions as underlying or contributing causes of death. RESULTS: Among women who had a record of each of these conditions in their lifetime, the sensitivity was 12.3% (95% confidence interval, 11.0%, 13.7%), 25.2% (23.7%, 26.7%) and 57.7% (55.9%, 59.5%) for diabetes, dementia and cancer, respectively, as the underlying cause of death, and 40.9% (38.8%, 42.9%), 52.3% (50.6%, 54.0%) and 67.1% (65.4%, 68.7%), respectively, if contributing causes of death were also taken into account. In all cases specificity (> 97%) and positive predictive value (> 91%) were high, and negative predictive value ranged from 69.6% to 84.6%. Sensitivity varied with age (in different directions for different conditions) but not consistently with the other sociodemographic factors. CONCLUSIONS: Death rates associated with common conditions that occur in multimorbidity clusters in the elderly are underestimated in national mortality statistics, but would be improved if the multiple causes of death listed on a death certificate were taken into account in the statistics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13304-8.
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spelling pubmed-90743562022-05-07 Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study Xu, Zhiwei Hockey, Richard McElwee, Paul Waller, Michael Dobson, Annette BMC Public Health Research BACKGROUND: National mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions. METHODS: The sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidity), dementia (a potential accelerant of death) and cancer (expected to be well-recorded) were calculated from death certificates for 9 056 women from the 1921–26 cohort of the Australian Longitudinal Study on Women’s Health. Log binomial regression models were fitted to examine factors associated with the sensitivity of death certificates with these conditions as underlying or contributing causes of death. RESULTS: Among women who had a record of each of these conditions in their lifetime, the sensitivity was 12.3% (95% confidence interval, 11.0%, 13.7%), 25.2% (23.7%, 26.7%) and 57.7% (55.9%, 59.5%) for diabetes, dementia and cancer, respectively, as the underlying cause of death, and 40.9% (38.8%, 42.9%), 52.3% (50.6%, 54.0%) and 67.1% (65.4%, 68.7%), respectively, if contributing causes of death were also taken into account. In all cases specificity (> 97%) and positive predictive value (> 91%) were high, and negative predictive value ranged from 69.6% to 84.6%. Sensitivity varied with age (in different directions for different conditions) but not consistently with the other sociodemographic factors. CONCLUSIONS: Death rates associated with common conditions that occur in multimorbidity clusters in the elderly are underestimated in national mortality statistics, but would be improved if the multiple causes of death listed on a death certificate were taken into account in the statistics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13304-8. BioMed Central 2022-05-06 /pmc/articles/PMC9074356/ /pubmed/35524227 http://dx.doi.org/10.1186/s12889-022-13304-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xu, Zhiwei
Hockey, Richard
McElwee, Paul
Waller, Michael
Dobson, Annette
Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study
title Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study
title_full Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study
title_fullStr Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study
title_full_unstemmed Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study
title_short Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study
title_sort accuracy of death certifications of diabetes, dementia and cancer in australia: a population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074356/
https://www.ncbi.nlm.nih.gov/pubmed/35524227
http://dx.doi.org/10.1186/s12889-022-13304-8
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