Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.

<h4>Background</h4>The cancer registry system is an important part of the cancer control program. Improper coding of cancers leads to misclassification and incorrect statistical information about cancer. Therefore, in this study, the main objective of the qualitative analysis was the acc...

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Main Authors: Mohammad-Ali Jahani, Ghahraman Mahmoudi, Hossein-Ali Nikbakht, Zeinab Farhadi, Raziehsadat Mousavi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0291139
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author Mohammad-Ali Jahani
Ghahraman Mahmoudi
Hossein-Ali Nikbakht
Zeinab Farhadi
Raziehsadat Mousavi
author_facet Mohammad-Ali Jahani
Ghahraman Mahmoudi
Hossein-Ali Nikbakht
Zeinab Farhadi
Raziehsadat Mousavi
author_sort Mohammad-Ali Jahani
collection DOAJ
description <h4>Background</h4>The cancer registry system is an important part of the cancer control program. Improper coding of cancers leads to misclassification and incorrect statistical information about cancer. Therefore, in this study, the main objective of the qualitative analysis was the accuracy in assigning the codes to the pathological reports in the centers responsible for cancer registry.<h4>Methods</h4>This study was descriptive, retrospective and applied. The data source in this study included 15,659 pathology reports received during the years 2017-2019 in the population-based cancer registry centers of Mazandaran province. Out of 1800 reports, 1765 samples of reports were selected and analysis was done on them by stratified random sampling method. A researcher-made checklist was used to collect data, and the Kappa agreement coefficient and Cohen's agreement percentage were presented to check the accuracy of the reports. STATA13 was used for data analysis.<h4>Results</h4>1150 of 1765 pathology reports (65.0%), did not have a topographic, morphological and behavioral codes and 410 (23.2%) had grade codes. The Kappa coefficient in reports with a topography code was 0.916 and with a morphology code it was 0.929, respectively. In behavior coding, the highest agreement is in the category of benign cancers at 65.2% and in grade coding in the category without grade is 100%.<h4>Conclusion</h4>The most reports were on carcinoma morphology, and the Kappa coefficient in morphology codes has almost complete reliability. In terms of behavior coding, there was the most agreement in the category of benign cancers. The Kappa coefficient in given behavior codes has low reliability.
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spelling doaj.art-6e8b4292ae2a4cada2f9ff53dcf2e11e2023-09-21T05:32:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01189e029113910.1371/journal.pone.0291139Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.Mohammad-Ali JahaniGhahraman MahmoudiHossein-Ali NikbakhtZeinab FarhadiRaziehsadat Mousavi<h4>Background</h4>The cancer registry system is an important part of the cancer control program. Improper coding of cancers leads to misclassification and incorrect statistical information about cancer. Therefore, in this study, the main objective of the qualitative analysis was the accuracy in assigning the codes to the pathological reports in the centers responsible for cancer registry.<h4>Methods</h4>This study was descriptive, retrospective and applied. The data source in this study included 15,659 pathology reports received during the years 2017-2019 in the population-based cancer registry centers of Mazandaran province. Out of 1800 reports, 1765 samples of reports were selected and analysis was done on them by stratified random sampling method. A researcher-made checklist was used to collect data, and the Kappa agreement coefficient and Cohen's agreement percentage were presented to check the accuracy of the reports. STATA13 was used for data analysis.<h4>Results</h4>1150 of 1765 pathology reports (65.0%), did not have a topographic, morphological and behavioral codes and 410 (23.2%) had grade codes. The Kappa coefficient in reports with a topography code was 0.916 and with a morphology code it was 0.929, respectively. In behavior coding, the highest agreement is in the category of benign cancers at 65.2% and in grade coding in the category without grade is 100%.<h4>Conclusion</h4>The most reports were on carcinoma morphology, and the Kappa coefficient in morphology codes has almost complete reliability. In terms of behavior coding, there was the most agreement in the category of benign cancers. The Kappa coefficient in given behavior codes has low reliability.https://doi.org/10.1371/journal.pone.0291139
spellingShingle Mohammad-Ali Jahani
Ghahraman Mahmoudi
Hossein-Ali Nikbakht
Zeinab Farhadi
Raziehsadat Mousavi
Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.
PLoS ONE
title Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.
title_full Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.
title_fullStr Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.
title_full_unstemmed Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.
title_short Qualitative analysis of the coding of pathological data of cancer registry centers: A study in North of Iran.
title_sort qualitative analysis of the coding of pathological data of cancer registry centers a study in north of iran
url https://doi.org/10.1371/journal.pone.0291139
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