Self-rated health as a predictor of return to work among employees on long-term sickness absence.
OBJECTIVE
The aim of the present study is to identify self-rated health predictors of return to work (RTW) within the study population as a whole as well as in three subgroups, namely musculoskeletal complaints, other physical health complaints, and psychological complaints.


METHODS
The study was based on a sample of 862 employees on sickness absence (maximum duration of 12 weeks). The employees filled out a baseline questionnaire and were subsequently followed until the tenth month after listing sick. Cox proportional hazards regression analyses were used to identify determinants of RTW.


RESULTS
For the study population as a whole type of complaint, earlier sickness absence, subjective severity of complaints and several RAND-36 subscales were predictive of RTW. Furthermore, the RAND-36 subscales physical functioning, physical role limitations, mental health, and health change were predictive of RTW among employees with musculoskeletal complaints. For employees with other physical health problems subjective severity of complaints and the RAND-36 subscales physical and social functioning, general health perception, and health change were associated with RTW. Finally, with regard to the group with psychological complaints the RAND-36 subscales mental health and general health perception predicted RTW.


CONCLUSIONS
Several aspects of self-rated health predict RTW for employees on long-term sickness absence. Variables related to functional status predict RTW for employees with physical complaints in contrast to psychological problems.
Northern Centre for Healthcare Research, University Medical Center Groningen, the Netherlands. m.post@med.umcg.nl
Maaike
M
Post
Boudien
B
Krol
Johan W
JW
Groothoff
D000328:Adult; D004651:Employment; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D009140:Musculoskeletal Diseases / Q000534:rehabilitation; D009426:Netherlands; D016016:Proportional Hazards Models; D018582:Sick Leave; D011795:Surveys and Questionnaires; D014937:Work