[Application of an integrated method for risk assessment of related work-stress in health care].
To assess the risk from exposure to occupational stress and burnout in health care workers (HCW), a cross-sectional study was planned to compare objective data that can represent potential job stressors in hospital wards and subjective symptoms reported by the workers. Medical doctors, nurses and ancillary workers of the Internal Medicine Wards of a large public hospital in Northern Italy were enrolled in the study. Three subjective questionnaires were administered: the Job Content Questionnaire, the State-Trait Anxiety Inventory, the Maslach Burnout Inventory. In addition, seven objective parameters were collected as average on the 3 months period prior to the study: a) working understaffed; b) number of patients/HCW on service; c) number of HCW on sick leave/on service; d) number of skipped days off after night shifts; e) number of sick leaves; f) number of deceased patients; g) number of accidents at work. A total group of 230 HCW were examined, employed in six different sub-units of the Medical wards. The female workers were 67.8% and the male workers 32.2%, the mean age was 37.4 years (SD 9.3) in the total group, 35.1 years (SD 7.9) in females and 42.3 years (SD 10.3) in males. The average scores of subjective and objective parameters resulted significantly higher in the same sub-units. The correlation analysis showed that the subjective questionnaires were highly inter-related. The multivariate analysis showed that the number of sick leave days was significantly related to the subjective questionnaires, and the subjective subscales of emotional exhaustion, job demand, decision latitude and STAIt were significantly related to some of the objective parameters. Therefore, the best approach to measure occupational stress is an integrated one, which involves the use of multiple subjective and objective assessment modalities.
Zoni
S
S
Dipartimento di Medicina Sperimentale ed Applicata, Sezione di Medicina del Lavoro e Igiene Industriale, Università degli Studi di Brescia, Brescia, Italia. silviazoni@libero.it
Albini
E
E
Benedetti
L
L
Parrinello
G
G
Lucchini
R
R
D000328:Adult; D002055:Burnout, Professional / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006282:Health Personnel / Q000706:statistics & numerical data; D006779:Hospitals, Public; D006801:Humans; D007388:Internal Medicine; D007558:Italy / Q000453:epidemiology; D007588:Job Satisfaction; D008297:Male; D008505:Medical Staff, Hospital / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D009728:Nursing Assistants / Q000706:statistics & numerical data; D009741:Nursing Staff, Hospital / Q000706:statistics & numerical data*; D011788:Quality of Life; D018570:Risk Assessment; D012307:Risk Factors; D013315:Stress, Psychological / Q000453:epidemiology*; D011795:Surveys and Questionnaires; D014940:Work Schedule Tolerance