Comparison of data sets for surveillance of work-related injury in Victoria, Australia.

OBJECTIVE: To investigate differences and similarities between three sources of work-related injury information: workers compensation claims, emergency department (ED) presentation data and hospital admissions data. METHODS: This population-based, retrospective descriptive analysis of non-fatal, work-related injuries of workforce participants in Victoria, Australia, has compared data from workers compensation claims and ED presentation and hospital admission data sets for the period 2004-2011. Work-related injury case frequency and rate were compared across study years according to gender, age, geographical location and injury type. Injury rates were expressed as cases per million hours worked. RESULTS: Rates of hospital admissions for treatment of work-related injury increased over the study period, compared with decreasing rates of injury in compensation claims and ED data. The highest rate of injuries to younger workers was captured in ED data. There was greater capture of musculoskeletal injuries by workers' compensation data, and of open wound and burn injury by the ED data. Broad similarities were noted for temporal trends according to gender, for the distribution of cases across older age groups and for rates of fracture injuries. CONCLUSIONS: These study findings inform use of workers' compensation, ED presentation and hospital admission data sets as sources of information for surveillance of work-related injuries in countries where these types of data are routinely collected. Choice of data source for investigation of work-related injury should take into consideration the population and injury types of interest.

The reliability and predictive accuracy of the falls risk for older people in the community assessment (FROP-Com) tool.

BACKGROUND: the Falls Risk for Older People in the Community assessment (FROP-Com) tool was designed for use in targeted multi-factorial falls prevention programmes. It fills the gap between the short screening tools and the longer assessment tools, e.g. the physiological profile assessment (PPA). The aim of this study was to determine the reliability and predictive accuracy of the FROP-Com. METHODS: the intra-rater and inter-rater reliability studies were performed with 20 participants each. The prospective study was performed with 344 community-dwelling older people presenting to an emergency department after a fall and being discharged directly home. Following a home-based assessment, including the FROP-Com, Timed Up and Go (TUG) and functional Reach (FR), participants were monitored for falls for 12 months. RESULTS: the intra-class correlation coefficient (ICC) for intra-rater reliability and inter-rater reliability for the FROP-Com was 0.93 (95% CI 0.84-0.97) and 0.81 (95% CI 0.59-0.92) respectively. The AUC for the FROP-Com was 0.68 (95% CI 0.63-0.74). At the cut-off 18/19, sensitivity was 71.3% (95% CI 64.4-78.3) and specificity was 56.1% (95% CI 48.9-63.4). The AUC for the TUG was 0.63 (95% CI 0.57-0.69) and for the FR was 0.60 (95% CI 0.54-0.66). CONCLUSION: the FROP-Com demonstrated good reliability and a moderate capacity to predict falls.