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Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program

BACKGROUND: In clinical and cohort research, mortality estimates are often derived from manual reports generated by physicians or electronic reports from vital event registries. We examined the rate of underreporting of deaths by manual methods as compared with electronic reports from a vital event...

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Autores principales: Au-Yeung, Christopher G, Anema, Aranka, Chan, Keith, Yip, Benita, Montaner, Julio SG, Hogg, Robert S
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987398/
https://www.ncbi.nlm.nih.gov/pubmed/20973962
http://dx.doi.org/10.1186/1471-2458-10-642
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author Au-Yeung, Christopher G
Anema, Aranka
Chan, Keith
Yip, Benita
Montaner, Julio SG
Hogg, Robert S
author_facet Au-Yeung, Christopher G
Anema, Aranka
Chan, Keith
Yip, Benita
Montaner, Julio SG
Hogg, Robert S
author_sort Au-Yeung, Christopher G
collection PubMed
description BACKGROUND: In clinical and cohort research, mortality estimates are often derived from manual reports generated by physicians or electronic reports from vital event registries. We examined the rate of underreporting of deaths by manual methods as compared with electronic reports from a vital event registry. METHODS: The retrospective analyses included deaths among participants registered in an observational cohort who initiated highly-active antiretroviral therapy (HAART) between August 1, 1996 and June 30, 2006. Deaths were routinely reported manually by physicians and through annual electronic record linkages with a population-based vital event registry. Multivariate logistic regression was carried out to assess independent predictors of death reporting by manual methods. RESULTS: Of the 3,116 individuals included in the analyses, 622 (20.0%) died during follow-up. Manual reporting by physicians only identified 377 (60.6%), while electronic linkages captured 598 (96.1%) of all deaths. Multivariate analysis indicated that deaths among individuals with lower CD4 cell count, higher HIV plasma viral load, a history of injection drug use, and under the care of an HIV-experienced physicians were more likely to be reported manually. Furthermore, non-accidental deaths were more likely to be reported manually, and manual reporting of deaths increased over time. CONCLUSIONS: Relying only on manual reports to ascertain deaths significantly underestimates the total number of deaths in the population. This can generate important biases when evaluating the impact of therapeutic interventions in the populational setting.
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spelling pubmed-29873982010-11-19 Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program Au-Yeung, Christopher G Anema, Aranka Chan, Keith Yip, Benita Montaner, Julio SG Hogg, Robert S BMC Public Health Research Article BACKGROUND: In clinical and cohort research, mortality estimates are often derived from manual reports generated by physicians or electronic reports from vital event registries. We examined the rate of underreporting of deaths by manual methods as compared with electronic reports from a vital event registry. METHODS: The retrospective analyses included deaths among participants registered in an observational cohort who initiated highly-active antiretroviral therapy (HAART) between August 1, 1996 and June 30, 2006. Deaths were routinely reported manually by physicians and through annual electronic record linkages with a population-based vital event registry. Multivariate logistic regression was carried out to assess independent predictors of death reporting by manual methods. RESULTS: Of the 3,116 individuals included in the analyses, 622 (20.0%) died during follow-up. Manual reporting by physicians only identified 377 (60.6%), while electronic linkages captured 598 (96.1%) of all deaths. Multivariate analysis indicated that deaths among individuals with lower CD4 cell count, higher HIV plasma viral load, a history of injection drug use, and under the care of an HIV-experienced physicians were more likely to be reported manually. Furthermore, non-accidental deaths were more likely to be reported manually, and manual reporting of deaths increased over time. CONCLUSIONS: Relying only on manual reports to ascertain deaths significantly underestimates the total number of deaths in the population. This can generate important biases when evaluating the impact of therapeutic interventions in the populational setting. BioMed Central 2010-10-25 /pmc/articles/PMC2987398/ /pubmed/20973962 http://dx.doi.org/10.1186/1471-2458-10-642 Text en Copyright ©2010 Au-Yeung et al; 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 Research Article
Au-Yeung, Christopher G
Anema, Aranka
Chan, Keith
Yip, Benita
Montaner, Julio SG
Hogg, Robert S
Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program
title Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program
title_full Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program
title_fullStr Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program
title_full_unstemmed Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program
title_short Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program
title_sort physician's manual reporting underestimates mortality: evidence from a population-based hiv/aids treatment program
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987398/
https://www.ncbi.nlm.nih.gov/pubmed/20973962
http://dx.doi.org/10.1186/1471-2458-10-642
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