[The pitfalls of lung cancer coding practices based on the evaluation of the National Cancer Registry].

Magyar onkologia Pub Date : 2024-07-16 Epub Date: 2024-05-24
Petra Parrag, Mária Dobozi, István Szatmári, András Wéber, Péter Nagy, Csaba Polgár, István Kenessey
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Abstract

The quality of input data determines the reliability of epidemiological assessments. Thus, the verification of cases reported to the National Cancer Registry is required. The objective of our study was evaluating the reliability of cases diagnosed by lung cancer, exploring the patterns of erroneous reports. The validation of the 11,750 lung cancer cases reported to the Cancer Registry in 2018 was performed with the involvement of the recording hospitals, analyzing the characteristics of reports by gender, age and attributes of the reporting institutions. 81.3 percent of the reported cases was confirmed, in 40.4 percent of the false reports, malignancy was not present at all. Among the erroneous cases women and the elderly age group were overrepresented. The highest deleted rate occurred in Borsod- Abaúj-Zemplén county. As a conclusion, there is a strong need for the improvement of the efficiency in encoding lung cancer. The most common errors: confusion of malignant-benign, cancerous-non-cancerous and primary-metastatic lesions. The reliability is not affected by the role of individual institutions in the hierarchy of health care. The availability of reliable epidemiological data is crucial in the fight against cancer, which requires broad professional cooperation.

[基于全国癌症登记处评估的肺癌编码实践陷阱]。
输入数据的质量决定了流行病学评估的可靠性。因此,需要对向全国癌症登记处报告的病例进行核实。我们的研究旨在评估肺癌诊断病例的可靠性,探索错误报告的模式。在记录医院的参与下,对2018年上报至癌症登记处的11750例肺癌病例进行了验证,按性别、年龄和上报机构的属性分析了报告的特征。81.3%的报告病例得到证实,40.4%的虚假报告中根本不存在恶性肿瘤。在误报病例中,女性和老年人的比例较高。博索德-阿巴伊-岑普伦县的删除率最高。总之,亟需提高肺癌的编码效率。最常见的错误:混淆了恶性-良性、癌性-非癌性和原发-转移病灶。可靠性并不受医疗保健等级制度中各机构角色的影响。获得可靠的流行病学数据对于抗击癌症至关重要,这需要广泛的专业合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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