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Analysis of Age and Gender Structures for ICD-10 Diagnoses in Outpatient Treatment Using Shannon's Entropy

机译:使用Shannon熵诊断ICD-10的年龄和性别结构分析

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Introduction: Diagnostic diversity has been in the focus of several studies of health services research. As the fraction of people with statutory health insurance changes with age and gender it is assumed that diagnostic diversity may be influenced by these parameters. Methods: We analyze fractions of patients in Schleswig-Holstein with respect to the chapters of the ICD-10 code in outpatient treatment for quarter 2/2016 with respect to age and gender/sex of the patient. In a first approach we analyzed which diagnose chapters are most relevant in dependence of age and gender. To detect diagnostic diversity, we finally applied Shannon's entropy measure. Due to multimorbidity we used different standardizations. Results: Shannon entropy strongly increases for women after the age of 15, reaching a limit level at the age of 50 years. Between 15 and 70 years we get higher values for women, after 75 years for men. Discussion: This article describes a straight forward pragmatic approach to diagnostic diversity using Shannon's Entropy. From a methodological point of view, the use of Shannon's entropy as a measure for diversity should gain more attraction to researchers of health services research.
机译:介绍:诊断多样性一直在对卫生服务研究的几项研究。由于患有法定健康保险的人数随着年龄和性别而变化,假设诊断多样性可能受到这些参数的影响。方法:我们在患者年龄和性别/性别/患者的年龄和性别/性别分析了Schleswig-Holstein的分析了Schleswig-Holstein的患者的分析。在第一种方法中,我们分析了哪个诊断章节与年龄和性别的依赖性最相关。要检测诊断多样性,我们终于应用了香农的熵措施。由于多重多压率,我们使用了不同的标准化。结果:香农熵在15岁之后对女性的强烈增加,达到50岁的极限水平。在男性75年后,在15到70年之间,我们为女性获得更高的价值观。讨论:本文介绍了使用Shannon熵诊断多样性的直接务实方法。从方法论的角度来看,Shannon的熵作为多样性的衡量标准应该为卫生服务研究的研究人员提供更多吸引力。

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