Evidence map›Paper›PMID 37713374›Full record

ArticlePloS one2023

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

Mohammad-Ali Jahani, Ghahraman Mahmoudi, Hossein-Ali Nikbakht, Zeinab Farhadi, Raziehsadat Mousavi

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mohammad-Ali JahaniHealth Research Institute, Social Determinants of Health Research Center, Babol University of Medical Sciences, Babol, Iran.
Ghahraman MahmoudiHospital Administration Research Center, Sari Branch, Islamic Azad University, Sari, Iran.
Hossein-Ali NikbakhtHealth Research Institute, Social Determinants of Health Research Center, Babol University of Medical Sciences, Babol, Iran.
Zeinab FarhadiHealth Research Institute, Social Determinants of Health Research Center, Babol University of Medical Sciences, Babol, Iran.
Raziehsadat MousaviDepartment of Health Services Management, PhD Student in Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-4118-3969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThis 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.

results1150 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%.

conclusionThe 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.

Indexed as

ChecklistNeoplasms, Glandular and EpithelialHumansIranRegistriesReproducibility of ResultsRetrospective Studies

Identifiers

PMID37713374
PMCPMC10503709

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