Return to Work After Total Joint Arthroplasty: A Predictive Model

医学 关节置换术 关节置换术 物理疗法 全膝关节置换术 工作(物理) 二元分析 外科 统计 数学 机械工程 工程类
作者
Alexander J. Rondon,Timothy L. Tan,Max R. Greenky,Matthew Kheir,Carol Foltz,James J. Purtill
出处
期刊:Orthopedics [Slack Incorporated (United States)]
卷期号:43 (5) 被引量:9
标识
DOI:10.3928/01477447-20200619-12
摘要

Returning to work after surgery is a primary concern of patients who are contemplating total joint arthroplasty (TJA). The ability to return to work has enormous influence on the patient's independence, financial well-being, and daily activities. The goal of this study was to determine the independent patient variables that predict return to work as well as to create a predictive model. From June 2017 to December 2017, a total of 391 patients who underwent primary TJA (243 hips, 148 knees) were prospectively enrolled in the study to obtain information on return to work after surgery. Patients were sent a series of questions in a biweekly survey. Information was collected on the physical demands of their occupation, the number of hours spent standing, the limitations to return to work, and the use of assistive devices. Bivariate analysis was performed, and a multiple linear regression model was created. Most (89.6%) patients returned to work within 12 weeks of surgery. Patients who underwent total hip arthroplasty returned to work earlier than those who underwent total knee arthroplasty (5.56 vs 7.79 weeks, respectively). Analysis showed the following independent predictors for faster return to work: self-employment, availability of light-duty work, male sex, and higher income. Predictors for slower return to work included a physically demanding occupation (at least 50% physical duties), knee arthroplasty, longer length of stay, and a job requiring more hours spent standing. This model reported an adjusted R 2 of 0.332. The findings provide an objective predictive model of the patient- and procedure-specific characteristics that affect postoperative return to work. Surgeons should consider these factors when counseling patients on their postoperative expectations. [ Orthopedics . 2020;43(5):e415–e420.]
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
脆条完成签到 ,获得积分10
1秒前
Gstar发布了新的文献求助10
1秒前
科研通AI2S应助追寻荔枝采纳,获得10
1秒前
闹心完成签到 ,获得积分10
2秒前
qwp发布了新的文献求助10
2秒前
2秒前
Aster发布了新的文献求助10
3秒前
天天快乐应助畅快的紫烟采纳,获得10
3秒前
lvgui完成签到 ,获得积分20
4秒前
cdh1994应助fanghaoxiang采纳,获得10
4秒前
4秒前
凝雁完成签到,获得积分10
4秒前
天上白玉京完成签到,获得积分10
5秒前
5秒前
xu完成签到,获得积分10
5秒前
在水一方应助DJ_Tokyo采纳,获得100
6秒前
6秒前
sanyecai完成签到,获得积分10
6秒前
守辛完成签到 ,获得积分10
6秒前
qlmian发布了新的文献求助10
7秒前
7秒前
8秒前
Tina应助abbo采纳,获得10
8秒前
8秒前
丘比特应助颜颜采纳,获得10
8秒前
徐石龙完成签到,获得积分20
8秒前
斯文败类应助晨曦采纳,获得10
8秒前
8秒前
zZ完成签到,获得积分10
9秒前
superx关注了科研通微信公众号
9秒前
kokoFish发布了新的文献求助10
9秒前
邓邓发布了新的文献求助10
10秒前
金海完成签到,获得积分10
10秒前
大气早晨发布了新的文献求助10
11秒前
坦率紫烟发布了新的文献求助10
11秒前
11秒前
宁哥查文完成签到,获得积分10
11秒前
WZH发布了新的文献求助10
12秒前
澳大利亚完成签到,获得积分10
12秒前
13秒前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 500
Maritime Applications of Prolonged Casualty Care: Drowning and Hypothermia on an Amphibious Warship 500
Comparison analysis of Apple face ID in iPad Pro 13” with first use of metasurfaces for diffraction vs. iPhone 16 Pro 500
Towards a $2B optical metasurfaces opportunity by 2029: a cornerstone for augmented reality, an incremental innovation for imaging (YINTR24441) 500
Materials for Green Hydrogen Production 2026-2036: Technologies, Players, Forecasts 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4055911
求助须知:如何正确求助?哪些是违规求助? 3594078
关于积分的说明 11418913
捐赠科研通 3319990
什么是DOI,文献DOI怎么找? 1825539
邀请新用户注册赠送积分活动 896603
科研通“疑难数据库(出版商)”最低求助积分说明 817898