Schramm W, Schöffski O, Görtz A, Liebl A
EUMEDES, Krailling.
Dtsch Med Wochenschr. 2004 Oct 22;129(43):2305-10. doi: 10.1055/s-2004-835260.
Disease modelling increasingly plays an important role in planning and implementing medical decision making in diabetes care. For a general practitioner it is difficult to find access to application, benefit, arithmetic background and quality criteria of modelling. This review provides a comprehensive overview about the current methods in disease modelling in order to access quality criteria for disease modelling and modelling studies in diabetes care. The following criteria are essential for good quality in disease modelling: adequate choice of data sources, assessment of medical and economic data according to criteria of evidence-based medicine, reasonable time horizons, realistic use of discounting and inflation rates, representative target populations and a realistic perspective of the cost-benefit analysis. Furthermore, validation of disease models and the adequate use of those instruments are of importance.
疾病建模在糖尿病护理的医疗决策规划和实施中发挥着越来越重要的作用。对于全科医生来说,很难了解建模的应用、益处、算法背景和质量标准。本综述全面概述了疾病建模的当前方法,以便获取糖尿病护理中疾病建模和建模研究的质量标准。疾病建模的高质量有以下几个关键标准:数据源的适当选择、根据循证医学标准评估医学和经济数据、合理的时间范围、贴现率和通货膨胀率的现实运用、具有代表性的目标人群以及成本效益分析的现实视角。此外,疾病模型的验证以及这些工具的恰当使用也很重要。