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An Analysis of Hospital Coding in Portugal: Detection of Patterns, Errors and Outliers in Female Breast Cancer Episodes

机译:葡萄牙医院编码分析:雌性乳腺癌发作中的模式,误差和异常值检测

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Many studies use coded clinical data as a source to investigate some diseases and its demographic impact. In Portugal, according to the National Statistics Institute, 1,635 deaths due to female breast cancer occurred in the year 2009, accounting for near 4,900 new cases by year. This study aimed to describe and analyze data from hospital female breast cancer episodes, coded in Portuguese hospital databases. Specifically, it aimed to profile data quality and to identify inconsistencies, errors and outliers. The database used includes inpatient and outpatient episodes from all mainland acute care public hospitals of the Portuguese National Health Service, within years 2000 to 2008, corresponding to more than 10 million records. Empirical data analyses were performed to understand the data distribution and the profile of possible outliers. Many problems and inconsistencies were found as, for instance, the existence of 40% of female breast cancer episodes with a secondary diagnosis of "admission for radiotherapy and chemotherapy" and, also, 783 records with the variable gender filled with "male". Systematic audits to the data and to the information produced, performed by competent agencies, can minimize some of the found problems. In fact, the knowledge of anomalous situations should allow, when feasible, an immediate improvement in the quality of healthcare data.
机译:许多研究使用编码的临床数据作为调查某些疾病及其人口影响的源泉。据国家统计局统计研究所据国家统计局统计研究所,2009年发生的1,635名死亡人数发生在2009年,占近4,900件新案件。本研究旨在描述和分析医院女性乳腺癌发作的数据,编码葡萄牙医院数据库。具体而言,它旨在介绍数据质量并识别不一致,错误和异常值。使用的数据库包括葡萄牙国家卫生服务的所有大陆急性护理公立医院的住院和门诊发作,于2000年至2008年内,对应于超过1000万条记录。进行经验数据分析以了解数据分布和可能的异常值的配置文件。例如,发现许多问题和不一致的存在40%的雌性乳腺癌发作,具有“放射治疗和化疗的入场”的二次诊断,也是783个记录,其中可变性别充满了“男性”。通过主管机构执行的数据和所产生的信息的系统审核可以最大限度地减少一些发现的问题。事实上,对异常情况的了解应该允许在可行的情况下立即改善医疗数据的质量。

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