Predictive factors of return to work after hysterectomy: a retrospective study

Author:

Dedden Suzanne J.,Bouwsma Esther V. A.,Geomini Peggy M. A. J.,Bongers Marlies Y.,Huirne Judith A. F.

Abstract

Abstract Purpose Although hysterectomy is one of the most frequently performed gynaecological surgeries, there is a dearth of evidence on perioperative care. The aim of the current study was to identify sociodemographic, surgical-related and work-related predictors of recovery following different approaches of hysterectomy. Methods Eligible patients for this retrospective cohort study were women who underwent vaginal, abdominal or laparoscopic hysterectomy for both benign and malignant gynaecological disease in 2014 in Máxima Medical Centre in the Netherlands. The main outcome measure was full return to work (RTW). Data were collected using a patient survey. Potential prognostic factors for time to RTW were examined in univariate Cox regression analyses. The strongest prognostic factors were combined in a multivariable model. Results In total 83 women were included. Median time to full return to work was 8 weeks (interquartile range [IQR] 6–12). The multivariable analysis showed that higher age (hazard ratio [HR] 1.053, 95% confidence interval [CI] 1.012–1.095) and same day removal of indwelling catheter (HR 0.122, 95% CI 0.028–0.539) were predictors of shorter duration until full RTW after hysterectomy. Conclusions This study provided insight in the predictors of recovery after hysterectomy. By identifying patient specific factors, pre-operative counselling can be individualized, changes can be made in perioperative care and effective interventions can be designed to target those factors.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Surgery

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3