Successful return to work after burnout: an evaluation of job, person- and private-related burnout determinants as determinants of return-to-work quality after sick leave for burnout

Author(s):  
Claudia Rooman ◽  
Philippe Sterkens ◽  
Stijn Schelfhout ◽  
Annelies Van Royen ◽  
Stijn Baert ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Georg Hauer ◽  
Maria Smolle ◽  
Sabrina Zaussinger ◽  
Joerg Friesenbichler ◽  
Andreas Leithner ◽  
...  

AbstractReturn to work (RTW) has been specifically identified as a high priority in patients undergoing total hip arthroplasty (THA). This investigation sought to assess the effect of the stem design on patients’ RTW. Secondly, the study aimed to identify risk factors that lead to a delayed RTW. Questionnaires inquiring about RTW, employment history, educational level, type of work, physical demands and joint awareness were administered by post. Further data were collected from patients’ hospital records. 176 patients who underwent THA using a short-stem and 97 patients using a straight-stem design were compared. The median return to work time was 10 weeks [IQR 7–14 weeks], with no significant difference between the two groups (short stems vs. straight stems; 10 [IQR 7–14] vs. 11 [7.5–13.5] weeks; p = 0.693). In the multivariate linear regression analysis, self-employment vs. employee (p = 0.001), dimension of preoperative workload (p = 0.001), preoperative sick leave (p < 0.001), and hospital length of stay (LOS) (p < 0.001) independently affected the period until work was resumed. The Forgotten-Joint-Score-12 showed no significant difference between the two groups. The data show that the majority of THA patients can expect to resume work and stem design has no impact on RTW. Employees with preoperative sick leave, prolonged hospital LOS and low workload are at higher risk for a delayed RTW.


BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e035259
Author(s):  
Jens Ivar Brox ◽  
Øystein Skare ◽  
Petter Mowinckel ◽  
Jostein Skranes Brox ◽  
Olav Reikerås ◽  
...  

ObjectivesTo compare days on sick leave and assess predictors of return to work following shoulder surgery.DesignA secondary analysis of a randomised controlled trial.SettingOrthopaedic department.Participants114 patients with type II superior labral tear from anterior to posterior of the shoulder.InterventionsLabral repair, biceps tenodesis or sham surgery.Outcome measuresSick leave was obtained from national registers for the last year before and 2 years following surgery. Total and shoulder related number of days on sick leave were obtained, using international diagnostic codes. We applied the difference-in-difference approach to compare the differences in the change in mean work days on sick leave between groups over time, backwards logistic regression and lasso regression to evaluate predictors.ResultsMean total number of work days on sick leave during the 2 years after surgery was 148 (range 0–460) days. More than 80% of the sick leave days were taken by 22% of the patients. Days on sick leave classified as shoulder-related constituted 80% of the total. In all three treatment groups, the mean total number of days on sick leave doubled the year after surgery. Sham surgery and labral repair had fewer postoperative sickness absence days compared with biceps tenodesis but differences were not significant when adjusted for days of sick leave the year before surgery. Predictors of return to work at 2 years analysed by logistic regression were no sick leave (OR 8.0, 95% CI 2.4 to 26.0) and moderate symptoms of anxiety or depression (OR 0.16, 95% CI 0.05 to 0.5) at inclusion. Similar results were obtained by lasso regression but manual work was an additional predictor.ConclusionsChange in mean work days on sick leave comparing sham surgery, labral repair and biceps tenodesis, was not significantly different. Sick leave, symptoms of anxiety and depression, and manual work at inclusion predicted work status 2 years after surgery.Trial registration numberNCT00586742.


2018 ◽  
Vol 60 (6) ◽  
pp. 169-179
Author(s):  
Shotaro Doki ◽  
Satoru Harano ◽  
Kayoko Shinada ◽  
Atsushi Ohyama ◽  
Noriko Kojimahara

2019 ◽  
Vol 57 (1) ◽  
pp. 70-78
Author(s):  
Akira KUSUMOTO ◽  
Shigeyuki KAJIKI ◽  
Yoshihisa FUJINO ◽  
Katsuyuki NAMBA ◽  
Tomohisa NAGATA ◽  
...  

Author(s):  
Nicole Vogel ◽  
Stefan Schandelmaier ◽  
Thomas Zumbrunn ◽  
Shanil Ebrahim ◽  
Wout EL de Boer ◽  
...  

Author(s):  
JS Silva-Junior ◽  
RH Griep ◽  
MC Martinez ◽  
FM Fischer

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