Department of Neurological Surgery, Indiana University, Indianapolis, Indiana.
Department of Mathematical Sciences, Worcester Polytechnic Institute, Worchester, Massachusetts.
Neurosurgery. 2018 Feb 1;82(2):173-181. doi: 10.1093/neuros/nyx160.
Hospital readmission rate has become a major indicator of quality of care, with penalties given to hospitals with high rates of readmission. At the same time, insurers are increasing pressure for greater efficiency and reduced costs, including decreasing hospital lengths of stay (LOS).
To analyze the authors' service to determine if there is a relationship between LOS and readmission rates.
Records of patients admitted to the authors' institution from October 2007 through June 2014 were analyzed for several data points, including initial LOS, readmission occurrence, admitting and secondary diagnoses, and discharge disposition.
Out of 9409 patient encounters, there were 925 readmissions. Average LOS was 6 d. Univariate analysis indicated a higher readmission rate with more diagnoses upon admission (P < .001) and an association between insurance type and readmission (P < .001), as well as decreasing average yearly LOS (P = .0045). Multivariate analysis indicated statistically significant associations between longer LOS (P = .03) and government insurance (P < .01).
A decreasing LOS over time has been associated with an increasing readmission rate at the population level. However, at the individual level, a prolonged LOS was associated with a higher risk of readmission. This was attributed to patient comorbidities. However, this increasing readmission rate may represent many factors including patients' overall health status. Thus, the rate of readmission may represent a burden of illness rather than a valid metric for quality of care.
医院再入院率已成为医疗质量的主要指标之一,再入院率较高的医院将受到处罚。与此同时,保险公司也在加大提高效率和降低成本的压力,包括缩短住院时间(LOS)。
分析作者的服务,以确定 LOS 与再入院率之间是否存在关系。
分析了作者所在机构 2007 年 10 月至 2014 年 6 月期间收治的患者的记录,包括初始 LOS、再入院发生情况、入院和次要诊断以及出院情况。
在 9409 例患者中,有 925 例再入院。平均 LOS 为 6 天。单因素分析表明,入院时诊断数量越多,再入院率越高(P<0.001),保险类型与再入院之间存在关联(P<0.001),平均每年 LOS 呈下降趋势(P=0.0045)。多因素分析表明,LOS 较长(P=0.03)和政府保险(P<0.01)与再入院率呈统计学显著关联。
随着时间的推移,LOS 的减少与人群水平的再入院率增加相关。然而,在个体水平上,较长的 LOS 与再入院风险增加相关。这归因于患者的合并症。然而,这种再入院率的增加可能代表了许多因素,包括患者的整体健康状况。因此,再入院率可能代表疾病负担,而不是医疗质量的有效指标。