4 datasets found
  1. f

    S1 File -

    • figshare.com
    application/x-rar
    Updated Sep 15, 2023
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    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi (2023). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0291139.s001
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    application/x-rarAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  2. f

    The level of accuracy of the topography code according to the demographic...

    • figshare.com
    xls
    Updated Sep 15, 2023
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    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi (2023). The level of accuracy of the topography code according to the demographic characteristics of the pathology centers. [Dataset]. http://doi.org/10.1371/journal.pone.0291139.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The level of accuracy of the topography code according to the demographic characteristics of the pathology centers.

  3. f

    Assessing the accuracy of the topographical codes given by pathology centers...

    • plos.figshare.com
    xls
    Updated Sep 15, 2023
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    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi (2023). Assessing the accuracy of the topographical codes given by pathology centers by site of cancer. [Dataset]. http://doi.org/10.1371/journal.pone.0291139.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Assessing the accuracy of the topographical codes given by pathology centers by site of cancer.

  4. f

    The results of the regression model in examining the relationship between...

    • plos.figshare.com
    xls
    Updated Sep 15, 2023
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    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi (2023). The results of the regression model in examining the relationship between demographic characteristics and the error rate in recording topographical codes between cancer registrars of the university and pathology centers. [Dataset]. http://doi.org/10.1371/journal.pone.0291139.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The results of the regression model in examining the relationship between demographic characteristics and the error rate in recording topographical codes between cancer registrars of the university and pathology centers.

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Click to copy link
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Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi (2023). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0291139.s001

S1 File -

Related Article
Explore at:
application/x-rarAvailable download formats
Dataset updated
Sep 15, 2023
Dataset provided by
PLOS ONE
Authors
Mohammad-Ali Jahani; Ghahraman Mahmoudi; Hossein-Ali Nikbakht; Zeinab Farhadi; Raziehsadat Mousavi
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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.

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