Psychometrics and validation of a screening instrument for sickness absence.
BACKGROUND
Absence from work due to psychosocial health complaints has considerable negative effects for employees, employers and society. A better and more effective strategy would be early identification of employees at risk for psychosocial sickness absence and early intervention to prevent sickness absence as far as possible.


OBJECTIVE
To assess psychometric characteristics and the external validation of a recently developed screening instrument, called 'Werkwijzer', for the identification of employees at risk for sickness absence due to psychosocial health complaints.


METHODS
Exploratory factor analysis was applied on items of the instrument. Cronbach's alpha coefficient was used to determine internal consistency of the subscales. Sum scores on the screening instrument were correlated to absenteeism data to determine their potential for predicting sickness absence. Predictive value was investigated, using objective sickness absence data as criterion measure. Sensitivity and specificity rates were calculated for external validation.


RESULTS
For both men and women, three interpretable factors were found. Sum scores on the instrument showed low correlations with sickness absence. The association between 'being at risk' (yes/no) and sickness absence (yes/no) was odds ratio (OR) 3.1 (95% CI 1.5-6.5) for men and OR 2.0 (95% CI 1.4-2.7) for women. Sensitivity scores were rather low, whereas specificity scores were remarkably high.


CONCLUSIONS
The results of this study provide the screening instrument a theoretic and scientific basis. Predictive value is promising, when absence is treated as a dichotomous measure. Sensitivity and specificity were unvarying during the development and validation phases of the instrument.
Duijts
Saskia F A
SF
Department of Epidemiology, Maastricht University, Maastricht, The Netherlands. s.duijts@nki.nl
Kant
Ijmert
I
van den Brandt
Piet A
PA
Swaen
Gerard M H
GM
D000041:Absenteeism; D003866:Depressive Disorder / Q000191:economics / Q000517:prevention & control*; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D005222:Mental Fatigue / Q000191:economics / Q000517:prevention & control*; D009786:Occupational Health Services / Q000458:organization & administration; D011237:Predictive Value of Tests; D011594:Psychometrics; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D018582:Sick Leave; D013315:Stress, Psychological / Q000175:diagnosis / Q000191:economics / Q000517:prevention & control*