Anderson G F, Steinberg E P
Inquiry. 1985 Fall;22(3):251-8.
Using a nationally random sample of Medicare beneficiaries, we developed a multivariate logistic model that identified a series of factors that predict readmission to an acute care hospital within 60 days of discharge. Our regression results show that 10 variables are statistically significant predictors of readmissions, with the patient's disease history and diagnosis among the best predictors. Our results can be used by peer review organizations to evaluate the quality of care provided by different hospitals as well as by physicians and social workers to improve discharge planning.
利用医疗保险受益人的全国随机样本，我们建立了一个多变量逻辑模型，该模型确定了一系列能够预测出院后60天内再次入住急症护理医院的因素。我们的回归结果表明，有10个变量是再入院的统计学显著预测因素，其中患者的病史和诊断是最佳预测因素之一。同行评审组织可以使用我们的结果来评估不同医院提供的护理质量，医生和社会工作者也可以利用这些结果来改进出院计划。
