Return to work following unintentional injury: a prospective follow-up study

Abstract

Objective: The aim of this study was to predict time off work following unintentional injuries due to accidents leading to hospital admission.Design: Prospective 6-month follow-up study. Setting:

Prognostic indicators of social outcomes in persons who sustained an injury in a road traffic crash

“…This is similar to a study on severely injured accident victims, which showed that injury severity did not predict the number of days off work at 3 years [22]. Hepp et al [23] posited that the physical condition could play a more important role immediately following the accident (i.e. at baseline) because hospitalization and rehabilitation directly contribute to the time off work, whereas in the longer term, other factors might gain in importance regarding work disability.…”

“…at baseline) because hospitalization and rehabilitation directly contribute to the time off work, whereas in the longer term, other factors might gain in importance regarding work disability. In the longer-term, factors other than the objective physical impairment, such as psychosocial or subjective factors, might be more important prognostic factors for return to work [23].…”

Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model

“…To reduce loss of follow-up, two reminders were sent to the patients. The rate of non-response was similar to other studies [54], [55]. To reduce the measurement bias, the INTERMED was completed following the recommendations (for details see: http://www.intermedfoundation.org/) and other potential predictors were either administrative data or VAS.…”

Measuring socioeconomic outcomes in trauma patients up to one year post-discharge: A systematic review and meta-analysis

“…There were nine studies that reported on RTW as the number of days take off, with five that reported on it as a mean with standard deviation. Of these five (48,62,(64)(65)(66), one study (48) measured the outcome at two time points and another (62) reported on two groups of patients. The pooled estimate of effect size was 102.3 (95% CI 29.7,174.9) (I 2 = 99.8%); i.e., participants in the included studies took a mean of 102.3 days or around 3.5 months postdischarge to return to work.…”