Berner Fachhochschule, Bern, Switzerland.
Swiss Med Wkly. 2013 Aug 7;143:w13832. doi: 10.4414/smw.2013.13832. eCollection 2013.
QUESTIONS UNDER STUDY / PRINCIPLES: The aims of this study were to identify the determinants influencing the inpatient rehabilitation length of stay (LoS) and discharge modality (DisMod) after hip or knee replacement surgery.
Data were retrieved for 306 patients (185 females, 121 males) who were admitted to a Swiss orthopaedic rehabilitation facility between 2007 and 2008 after hip or knee replacement surgery. LoS and DisMod were extracted from the medical files along with an additional seven binary and six continuous variables (including scores of timed-get-up-and-go [TUG], walking distance [WDT] and stair climbing tests [FIM_St]). Nonparametric procedures were used to detect differences between the gender groups. For the analysis of the LoS determinants, a linear regression model was used. The nonmotor performance test determinants of DisMod were analysed using a logistic regression model, whereas the motor performance test determinants were examined using binary classification. For both regression models, a backward procedure was used.
Unlike DisMod, LoS calculations were conducted after stratification for gender. The simplified regression models explained 22% (females) and 31% (males) of the LoS variance and 20% (both genders) of the DisMod variance. TUG, WDT and FIM_St were all important predictors for LoS, whereas DisMod could be best predicted by WDT.
Patients with good motor ability at admission were discharged earlier and more frequently to home. These findings might be of importance for preoperative physiotherapeutic care and might help to improve care planning as well as more accurately predict the access to inpatients beds and the allocation of resources.
研究问题/原理:本研究旨在确定影响髋或膝关节置换术后住院康复时间(LoS)和出院方式(DisMod)的决定因素。
从 2007 年至 2008 年在瑞士骨科康复机构接受髋或膝关节置换手术后住院的 306 名患者(185 名女性,121 名男性)中提取数据。LoS 和 DisMod 从病历中提取,此外还提取了七个二进制变量和六个连续变量(包括计时起坐[TUG]、步行距离[WDT]和爬楼梯测试[FIM_St]的分数)。使用非参数程序检测性别组之间的差异。对于 LoS 决定因素的分析,使用线性回归模型。使用逻辑回归模型分析 DisMod 的非运动表现测试决定因素,而使用二元分类分析运动表现测试决定因素。对于这两个回归模型,都使用了向后程序。
与 DisMod 不同,LoS 的计算是在性别分层后进行的。简化的回归模型解释了 22%(女性)和 31%(男性)的 LoS 方差和 20%(两种性别)的 DisMod 方差。TUG、WDT 和 FIM_St 都是 LoS 的重要预测因素,而 DisMod 可以通过 WDT 最佳预测。
入院时运动能力良好的患者出院更早,更频繁地出院回家。这些发现可能对术前物理治疗护理很重要,并有助于改善护理计划,以及更准确地预测住院床位的使用和资源的分配。