A method for ascertaining the quality of cancer registry data

Fuente: Redalyc
Saved in:
Bibliographic Details
Main Author: Arduino Verdecchia
Format: Artículo científico
Language:en
Published: Sociedad Cubana de Administración de Salud 2004
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1876480363168006144
author Arduino Verdecchia
author_facet Arduino Verdecchia
contents A method for ascertaining the quality of cancer registry data Arduino Verdecchia Roberta De Angelis Silvia Franceschi Salud Cancer Incidence Mortality Epidemiological methods Methods commonly used to evaluate completeness and quality of CR data involve simple and indirectindicators such as the proportion of DCO cases, the proportion of cases with microscopic confirmation,the incidence to mortality ratio, etc. Modelling cancer incidence, mortality and survival in a unifiedframework is proposed as an appropriate approach to check for consistency CR data with a process thatturns out to be circular if, and only if, mortality, incidence and patients’ survival data are high qualityand complete. The MIAMOD method was developed to provide incidence, prevalence and mortalityestimates and projections, using mortality and patients’ survival information at national or regionallevels. Examples of application of the MIAMOD method to national cancer registries in Europe aregiven to show the performance of the method in checking the CR data for internal consistency andcompleteness of registration. We are proposing the MIAMOD method and software as a tool for CRuseful to check for completeness and quality of their data and to provide future cancer burdeninformation for health planning and allocation of resources for their area. 2004 artículo científico 0864-3466 https://www.redalyc.org/articulo.oa?id=21430204 en http://www.redalyc.org/revista.oa?id=214 Revista Cubana de Salud Pública application/pdf Sociedad Cubana de Administración de Salud Revista Cubana de Salud Pública (Cuba) Num.2 Vol.30
format Artículo científico
id redalyc_21430204
institution Redalyc
language en
publishDate 2004
publisher Sociedad Cubana de Administración de Salud
spellingShingle A method for ascertaining the quality of cancer registry data
Arduino Verdecchia
Salud
Cancer
Incidence
Mortality
Epidemiological methods
A method for ascertaining the quality of cancer registry data Arduino Verdecchia Roberta De Angelis Silvia Franceschi Salud Cancer Incidence Mortality Epidemiological methods Methods commonly used to evaluate completeness and quality of CR data involve simple and indirectindicators such as the proportion of DCO cases, the proportion of cases with microscopic confirmation,the incidence to mortality ratio, etc. Modelling cancer incidence, mortality and survival in a unifiedframework is proposed as an appropriate approach to check for consistency CR data with a process thatturns out to be circular if, and only if, mortality, incidence and patients’ survival data are high qualityand complete. The MIAMOD method was developed to provide incidence, prevalence and mortalityestimates and projections, using mortality and patients’ survival information at national or regionallevels. Examples of application of the MIAMOD method to national cancer registries in Europe aregiven to show the performance of the method in checking the CR data for internal consistency andcompleteness of registration. We are proposing the MIAMOD method and software as a tool for CRuseful to check for completeness and quality of their data and to provide future cancer burdeninformation for health planning and allocation of resources for their area. 2004 artículo científico 0864-3466 https://www.redalyc.org/articulo.oa?id=21430204 en http://www.redalyc.org/revista.oa?id=214 Revista Cubana de Salud Pública application/pdf Sociedad Cubana de Administración de Salud Revista Cubana de Salud Pública (Cuba) Num.2 Vol.30
title A method for ascertaining the quality of cancer registry data
topic Salud
Cancer
Incidence
Mortality
Epidemiological methods
url https://www.redalyc.org/articulo.oa?id=21430204