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Accuracy of cancer death certificates and its effect on cancer mortality statistics

Author

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  • Percy, C.
  • Stanek III, E.
  • Gloeckler, L.

Abstract

A study to determine the accuracy of cancer mortality data was done using cancer deaths occurring during 1970 and 1971 in 8 of the 9 areas included in the Third National Cancer Survey (TNCS). Death certificates with an underlying cause of death of cancer were compared to the hospital diagnosis for 48,826 resident cases of single primary cancers. The underlying cause of death as coded on the death certificate was found to be accurate for about 65% of the cancer deaths in this study. Misclassification problems occurred for colorectal cancer, the second leading cause of death from cancer. Colon cancer was overreported and rectal cancer was underreported on death certificates. Other misclassification problems were found for cancers of the uterus, brain, and buccal cavity including most of its sub-sites. Physicians tended to report a non-specific site of cancer on the death certificate rather than the specific site identified by the hospital diagnosis.

Suggested Citation

  • Percy, C. & Stanek III, E. & Gloeckler, L., 1981. "Accuracy of cancer death certificates and its effect on cancer mortality statistics," American Journal of Public Health, American Public Health Association, vol. 71(3), pages 242-250.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.71.3.242_7
    DOI: 10.2105/AJPH.71.3.242
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    1. Jessica Ho & Irma Elo, 2013. "The Contribution of Smoking to Black-White Differences in U.S. Mortality," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 545-568, April.
    2. Binbing Yu & Lan Huang & Ram C. Tiwari & Eric J. Feuer & Karen A. Johnson, 2009. "Modelling population‐based cancer survival trends by using join point models for grouped survival data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 405-425, April.
    3. Peter Sandiford & Dale Bramley, 2013. "Application of the modified PGW method for determining the smoking attributable fraction of deaths in New Zealand Maori, Pacific and non-Maori non-Pacific populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(7), pages 207-228.
    4. Konrad Samsel & Tanya Navaneelan & Nathan DeBono & Louis Everest & Paul A. Demers & Jeavana Sritharan, 2024. "Leukemia Incidence by Occupation and Industry: A Cohort Study of 2.3 Million Workers from Ontario, Canada," IJERPH, MDPI, vol. 21(8), pages 1-16, July.
    5. Alicia Villavicencio & Marta Solans & Lluís Zacarías-Pons & Anna Vidal & Montse Puigdemont & Josep Maria Roncero & Marc Saez & Rafael Marcos-Gragera, 2021. "Comorbidities at Diagnosis, Survival, and Cause of Death in Patients with Chronic Lymphocytic Leukemia: A Population-Based Study," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    6. Angela B Mariotto & Zhaohui Zou & Christopher J Johnson & Steve Scoppa & Hannah K Weir & Bin Huang, 2018. "Geographical, racial and socio-economic variation in life expectancy in the US and their impact on cancer relative survival," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    7. Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2023. "Health indices for disease incidence and duration in the Semi-Markov setting," LIDAM Discussion Papers ISBA 2023013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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