Prediction of sickness absence: development of a screening instrument

Objectives: To develop a concise screening instrument for early identification of employees at risk for sickness absence due to psychosocial health complaints. Methods: Data from the Maastricht Cohort Study on "Fatigue at Work" were used to identify items to be associated with an increased risk of sickness absence. The analytical procedures univariate logistic regression, backward stepwise linear regression, and multiple logistic regression were successively applied. For both men and women, sum scores were calculated, and sensitivity and specificity rates of different cut-off points on the screening instrument were defined. Results: In women, results suggested that feeling depressed, having a burnout, being tired, being less interested in work, experiencing obligatory change in working days, and living alone, were strong predictors of sickness absence due to psychosocial health complaints. In men, statistically significant predictors were having a history of sickness absence, compulsive thinking, being mentally fatigued, finding it hard to relax, lack of supervisor support, and having no hobbies. A potential cut-off point of 10 on the screening instrument resulted in a sensitivity score of 41.7% for women and 38.9% for men, and a specificity score of 91.3% for women and 90.6% for men. Conclusions: This study shows that it is possible to identify predictive factors for sickness absence and to develop an instrument for early identification of employees at risk for sickness absence. The results of this study increase the possibility for both employers and policymakers to implement interventions directed at the prevention of sickness absence

Effects of Dementia Care Mapping on job satisfaction and caring skills of staff caring for older people with intellectual disabilities: A quasi-experimental study

BACKGROUND: The ageing of people with intellectual disabilities, involving consequences like dementia, creates a need for methods to support care staff. One promising method is Dementia Care Mapping (DCM). This study examined the effect of DCM on job satisfaction and care skills of ID-care staff. METHODS: We performed a quasi-experimental study in 23 group homes for older people with intellectual disabilities in the Netherlands. Among staff, we assessed job satisfaction and care skills as primary outcomes and work experience measures as secondary outcomes (N = 227). RESULTS: Dementia Care Mapping achieved no significantly better effect than care as usual (CAU) for primary outcomes on job satisfaction (MWSS-HC) and working skills (P-CAT). Effect sizes varied from -0.18 to -0.66. We also found no differences for any of the secondary outcomes. CONCLUSION: Dementia Care Mapping does not increase job satisfaction and care skills of staff caring for older people with intellectual disabilities. This result differs from previous findings and deserves further study