Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: The long-term prediction of return to work following serious accidental injuries: A follow up study | Hepp et al. BMC Psychiatry 2011 11 53 http 1471-244X 11 53 BMC Psychiatry RESEARCH ARTICLE Open Access The long-term prediction of return to work following serious accidental injuries A follow up study I I z f- I_I z z 11_I -z z f- z l A Z ZZ- zz I I 2 c ZzV- zz Di I I I2 I_I zz I Izzz Dr I I 1 -z I I r c ZZ I zz zz z 4 I zz zz c zz Z r Izz 5 z u I I I z w 1z c z- I Z zzz z1 zz z2 urs Hepp Hanspeter Moergeii Stetan oucni Helke Brucnnaus-Steinert IQITI sensky and Ulrich scnnyder Abstract Background Considerable indirect costs are incurred by time taken off work following accidental injuries. The aim of this study was to predict return to work following serious accidental injuries. Method 121 severely injured patients were included in the study. Complete follow-up data were available for 85 patients. Two weeks post trauma T1 patients rated their appraisal of the injury severity and their ability to cope with the injury and its job-related consequences. Time off work was assessed at one T2 and three years T3 post accident. The main outcome was the number of days of sick leave taken due to the accidental injury. Results The patients appraisals a of the injury severity and b of their coping abilities regarding the accidental injury and its job-related consequences were significant predictors of the number of sick-leave days taken. Injury severity ISS type of accident age and gender did not contribute significantly to the prediction. Conclusions Return to work in the long term is best predicted by the patients own appraisal of both their injury severity and the ability to cope with the accidental injury. Background Sick-leave following accidental injuries incurs considerable indirect costs and although the amount of time lost from work is one of the most important measures of functional outcome of injuries 1 there are few studies on return to work after severe accidental injuries 2-8 . Return to work is not only predicted by injury related factors.
