Appropriateness of the standard mortality/incidence ratio in evaluation of completeness of population-based cancer registry data

Background: The magnitude of differences in mortality incidence (M:I) ratios derived from the national mortality source and those derived from cancer registry (CR) databases may be used to determine associated factors. Methods: All information on cancer incidence cases and mortality cases from Janua...

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Bibliographic Details
Main Authors: Suwanrungruang K., Sriplung H., Temiyasathit S., Waisri N., Daoprasert K., Kamsa-ard S., Tasanapitak C., McNeil E.
Format: Journal
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84864503587&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43142
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Institution: Chiang Mai University
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Summary:Background: The magnitude of differences in mortality incidence (M:I) ratios derived from the national mortality source and those derived from cancer registry (CR) databases may be used to determine associated factors. Methods: All information on cancer incidence cases and mortality cases from January 1, 2003 to December 31, 2007 were retrieved from 5 population-based cancer registries in four regions of Thailand. Two sources of mortality were used: death cases within the cancer registries and mortality statistics obtained from the Ministry of Public Health (MOPH). Plots of percentage M:I ratios from cancer registry databases and from national mortality sources against 1 minus 5 years relative survival (1-5yrRS) were used to visualize the correlation between the two mortality sources. A Poisson regression model was used to determine the influence of cancer sites and registries on the M:I ratio/[1-5yrRS]. Results: There was high variability between the standard M:I ratio derived from national mortality compared with 1-5 year RS. The factors affecting M:I ratios are sources of mortality data and misclassification of topographic site as the cause of death. Conclusions: Use of the M:I ratio is not recommended to evaluate completeness of cancer registry data when the quality of mortality data is poor.