Citation

Marchetti A, Mantovani J, Di Lallo D, Di Napoli A, Guasticchi G. Med. Lav. 2011; 102(6): 473-483.

Vernacular Title

Epidemiologia degli infortuni sul lavoro nella Regione Lazio.

Affiliation

Laziosanità--Agenzia di Sanità Pubblica della Regione Lazio, Roma. marchetti@asplazio.it

Copyright

(Copyright © 2011, Società italiana di medicina del lavoro, Publisher Mattioli)

DOI

unavailable

PMID

22332483

Abstract

BACKGROUND: Prevention of work-related accidents requires an in-depth epidemiological assessment of the issue. In Italy the most used databases are from the national insurance (INAIL) and research (ISPESL) institutes. However, these data are only available several years after the time of accident. OBJECTIVES: To describe the characteristics of accidents and evaluate factors potentially associated with hospitalization using the Information System of Hospital Emergency Departments (SIES). METHODS: We analyzed 51.705 Emergency Department (ED) work-related accident admissions in the Lazio Region of Italy in 2008 among workers aged 16-65 years. Information on socio-demographics, diagnosis, triage codes, and outcome of ED admissions were gathered. We performed a logistic regression model to estimate association between these factors and risk of hospitalization after ED admission. RESULTS: The subjects' mean age was 39.1 (SD 11.0); 71.5% woere men, 12.7% were foreigners, 5.9% arrived by ambulance, 4.5% with triage red/yellow tags, 2.7% were hospitalized. Diagnosis was trauma in 85.1%, orthopaedic lesions in 8.3%. We found a higher risk of hospitalization in subjects with: one year of age increase (OR=1.02; 95% CIs: 1.01-1.03), males (OR=1.68; 95% CIs: 1.44-1.97), foreigners coming from countries with high emigration rates (OR=1.55; 95% CIs: 1.31-1.82), ED triage red/yellow tags (OR=84.47; 95% CIs: 47.06-151.60). CONCLUSIONS: It was confirmed that data fr-om an emergency health care information system can be a useful complement to information gathered by national insurance and research institutes, thus resolving the limit posed by the delay in availability for analysis of these data after the occurrence of accidents. We also identified some factors potentially associated with more serious accidents, which constitute a basis for planning and implementing specific public health preventive interventions.

Language: it