Selig R, Döhler B
Z Gesamte Hyg. 1989 May;35(5):284-7.
In view of the great importance of the disablement period for the sickness figure, a method for interpreting empirical distributions of disablement periods is presented which yields practical information for optimizing diagnosis-specific disablement case periods. By approximating the disablement period distribution via a log-normal distribution, the location parameters mode, median and other quantiles can uniquely determined. The cumulatively determined frequencies of the disablement days with reference to chosen location parameters illustrate the possibilities of maintaining the capacity to work and the necessity of intensifying the medical care if diagnosisuntypical disablement periods are exceeded. To establish these requires further research of concrete long-dated disablement cases.
鉴于失能期对疾病数据的重要性,本文提出了一种解释失能期经验分布的方法,该方法可为优化特定诊断的失能病例期提供实用信息。通过对数正态分布近似失能期分布,可以唯一确定位置参数众数、中位数和其他分位数。根据选定的位置参数累积确定的失能天数频率说明了维持工作能力的可能性,以及如果超过非典型诊断失能期加强医疗护理的必要性。要确定这些需要对具体的长期失能病例进行进一步研究。