Predicting Patient Discharge Disposition After Total Joint Arthroplasty in the United States

被引:132
|
作者
Barsoum, Wael K. [1 ]
Murray, Trevor G. [1 ]
Klika, Alison K. [1 ]
Green, Karen [1 ]
Miniaci, Sara Lyn [1 ]
Wells, Brian J. [2 ]
Kattan, Michael W. [2 ]
机构
[1] Cleveland Clin, Dept Orthopaed Surg, Cleveland, OH 44195 USA
[2] Cleveland Clin, Dept Quantitat Hlth Sci, Cleveland, OH 44195 USA
来源
JOURNAL OF ARTHROPLASTY | 2010年 / 25卷 / 06期
关键词
total joint arthroplasty; predictive modeling; discharge planning; logistic regression; TOTAL HIP-REPLACEMENT; LENGTH-OF-STAY; KNEE ARTHROPLASTY; INPATIENT REHABILITATION; REVISION HIP; ELECTIVE HIP; OUTCOMES; EXPECTATIONS; CARE; DETERMINANTS;
D O I
10.1016/j.arth.2009.06.022
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
The purpose of this study was to develop an easily administered tool to preoperatively predict patient discharge disposition after total joint arthroplasty in the United States. Data were collected in a retrospective review of 517 medical charts and analyzed using logistic regression to develop a model for predicting the likelihood that a patient will not be discharged directly home. The resulting regression model was the basis for the nomogram, named the Predicting Location after Arthroplasty Nomogram. This model demonstrated a bootstrap-corrected concordance index of 0.867, excellent calibration, and external validation as demonstrated by a concordance index of 0.861. Preoperative knowledge that a patient is likely to require an extended care facility allows the clinical care team to make appropriate arrangements and avoid potential delays in patient discharge.
引用
收藏
页码:885 / 892
页数:8
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