Glaser D N, Riegel B
Sharp HealthCare, San Diego, USA.
Qual Manag Health Care. 1996 Fall;5(1):49-58.
Causal modeling is used in a variety of sciences because it allows exploration of complex relationships among several variables simultaneously. Although not used extensively in health care as yet, causal modeling could be helpful, given the complexity of the current health care system. The purpose of this article is to provide a general introduction to causal modeling and the syntax used in developing and testing a model. To illustrate the method, a sample model is tested using a combination of hypothetical and actual patient satisfaction data.
因果建模在多种科学领域中都有应用,因为它能够同时探究多个变量之间的复杂关系。尽管目前在医疗保健领域尚未广泛使用,但鉴于当前医疗保健系统的复杂性,因果建模可能会有所帮助。本文旨在对因果建模以及在开发和测试模型时所使用的语法进行一般性介绍。为了说明该方法,我们使用假设和实际患者满意度数据的组合对一个示例模型进行了测试。