Factors affecting time off work in patients with traumatic hand injuries-A bio-psycho-social perspective

Injury. 2018 Oct;49(10):1822-1829. doi: 10.1016/j.injury.2018.07.012. Epub 2018 Jul 18.

Abstract

Hand injuries are common and can result in a long time off work. To analyse and identify factors affecting time of work, a holistic view on patients is needed. World Health Organization's International Classification of Functioning, Disability and Health (ICF) with its bio-psycho-social perspective provides such a holistic view. The purpose of this study is to analyse time off work in patients with traumatic hand injuries and to identify factors affecting time off work from a bio-psycho-social perspective. We used factors derived from the ICF Core Set for Hand Conditions to predict time off work by applying Cox regression analyses and Kaplan-Meier method using data of a multicentre prospective study in nine German Level 1 hand trauma centres. In total, 231 study participants with a broad range of hand injuries were included. From these, 178 patients (77%) returned to work within 200 days. Impairments in mobility of joint functions and sensory functions related to temperature and other stimuli as well as higher hand strain at work led to extended time off work. Gender, fine hand use and employment status additionally influenced time off work in sub-models. Our results demonstrate that a bio-psycho-social perspective is recommended when investigating time off work.

Keywords: Disability and Health; Hand injuries; ICF Core Sets; International Classification of Functioning; Prediction; Return to work; Time off work.

Publication types

  • Multicenter Study

MeSH terms

  • Absenteeism*
  • Adult
  • Disability Evaluation
  • Disabled Persons / psychology*
  • Disabled Persons / rehabilitation
  • Employment
  • Female
  • Hand Injuries / classification
  • Hand Injuries / physiopathology
  • Hand Injuries / psychology*
  • Hand Injuries / rehabilitation*
  • Holistic Health*
  • Humans
  • Male
  • Middle Aged
  • Prospective Studies
  • Psychometrics
  • Recovery of Function / physiology
  • Return to Work* / psychology
  • Return to Work* / statistics & numerical data
  • Risk Factors
  • Socioeconomic Factors