Literature DB >> 16421918

A study of factors influencing return to work after wrist or ankle fractures.

Karen Seland1, Nicola Cherry, Jeremy Beach.   

Abstract

BACKGROUND: Factors associated with time to return to work are poorly understood for occupational injuries, other than those to the back.
METHODS: Anonymized data on claims for work-related wrist or ankle fracture between 1/1/1998 and 12/31/2002 were identified in administrative data held by the Workers Compensation Board in Alberta, Canada. Bivariate and Cox regression analyses were used to identify factors associated with return to work.
RESULTS: Increased duration of temporary disability (TD) was associated with older age, female gender, work in construction and construction trade services, smaller company size, higher industry claim rates, a fall/jump from a height, ankle fracture, and greater medical aid costs in the 30 days following injury (used as a proxy for severity).
CONCLUSIONS: Factors associated with longer time off work were largely consistent with those reported following back injury. Median time to return to work was longer following ankle than wrist fracture. Although Workers' Compensation Board (WCB) administrative data provided information that could be used to identify factors affecting return to work, better information on injury severity would considerably enhance their research potential. (c) 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2006        PMID: 16421918     DOI: 10.1002/ajim.20258

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  11 in total

1.  The return-to-work coordinator role: qualitative insights for nursing.

Authors:  Carole James; Erica Southgate; Ashley Kable; Darren A Rivett; Maya Guest; Joanna Bohatko-Naismith
Journal:  J Occup Rehabil       Date:  2011-06

2.  The association of social functioning, social relationships and the receipt of compensation with time to return to work following unintentional injuries to Victorian workers.

Authors:  Fiona J Clay; Michael Fitzharris; Emily Kerr; Roderick J McClure; Wendy L Watson
Journal:  J Occup Rehabil       Date:  2012-09

3.  Including injured workers without compensated time loss in Cox regression models: analyzing time loss using all available data.

Authors:  Jeanne M Sears; Patrick J Heagerty
Journal:  J Occup Rehabil       Date:  2008-07-18

Review 4.  How well do we report on compensation systems in studies of return to work: a systematic review.

Authors:  Fiona J Clay; Janneke Berecki-Gisolf; Alex Collie
Journal:  J Occup Rehabil       Date:  2014-03

5.  Work and Health Questionnaire (WHQ): A Screening Tool for Identifying Injured Workers at Risk for a Complicated Rehabilitation.

Authors:  Sandra Abegglen; Ulrike Hoffmann-Richter; Volker Schade; Hans-Jörg Znoj
Journal:  J Occup Rehabil       Date:  2017-06

6.  [Operative versus conservative treatment of non-displaced fractures of the scaphoid bone. Results of a controlled multicenter cohort study].

Authors:  M Schädel-Höpfner; M Marent-Huber; M Sauerbier; T Pillukat; A Eisenschenk; H R Siebert
Journal:  Unfallchirurg       Date:  2010-10       Impact factor: 1.000

7.  Determinants of return to work after occupational injury.

Authors:  Yonghua He; Jia Hu; Ignatius Tak Sun Yu; Wei Gu; Youxin Liang
Journal:  J Occup Rehabil       Date:  2010-09

Review 8.  Vocational rehabilitation for enhancing return-to-work in workers with traumatic upper limb injuries.

Authors:  Wen-Hsuan Hou; Ching-Chi Chi; Heng-Lien Lo; Yun-Yun Chou; Ken N Kuo; Hung-Yi Chuang
Journal:  Cochrane Database Syst Rev       Date:  2017-12-06

9.  Postoperative Complications and Reoperation Rates Following Open Reduction and Internal Fixation of Ankle Fracture.

Authors:  Armando Macera; Christian Carulli; Luigi Sirleo; Massimo Innocenti
Journal:  Joints       Date:  2018-05-21

10.  Return-to-work according to impairment type among occupationally injured workers in Korea.

Authors:  Jeongbae Rhie; Inchul Jeong; Jong Uk Won
Journal:  J Korean Med Sci       Date:  2013-10-31       Impact factor: 2.153

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