INTRODUCTION: Injury is the most common reason for admission to hospital in @entity1 with @entity303 in Australia. However relatively little is known about the temporal trends and the hospital experience of @entity1 with @entity303 hospitalised for an injury. This population-based data linkage study compared the causes, temporal trends and health outcomes for @entity130 in @entity1 with and without @entity303 . METHODS: Hospitalisation and death data for 235,612 individuals aged 65 years and over admitted to hospital for an injury over the ten year period (2003-2012) in New South Wales, Australia were probabilistically linked. Descriptive statistics including chi square tests, observed and age-standardised admission rates and rate ratios (RRs) were calculated. Trends over time were analysed using negative binomial regression. RESULTS: There were 331,432 @entity130 over the study period. Both the observed (RR 3.16; 95% CI 3.13-3.19) and age-standardised admission rate ratios ( @entity4736 .78; 95% CI 1.77-1.79) were higher for @entity1 with @entity303 . Age-standardised rates increased by 3.5% (95% CI 3.1-3.9) per annum over the study period for @entity1 without @entity303 . In contrast, for @entity1 with @entity303 , rates increased by 2.4% (95% CI 1.8-3.1) per annum until 2007 and then decreased by 3.1% (95% CI -4.4 to -1.7) per annum from 2007 onwards. Compared to @entity1 without @entity303 , a higher proportion of @entity1 with @entity303 were hospitalised as a result of a fall (90.9% vs 75.2%, p<0.0001), sustained a @entity174 (57.2% vs 52.1%, p<0.0001), notably hip @entity174 (30.7% vs 14.7%, p<0.0001), had longer mean hospital lengths of stay (LOS) (16.5 vs 13.6 days), and higher 30-day mortality (8.7% vs 3.6% p<0.0001), although this pattern was not consistent across all @entity130 . CONCLUSIONS: @entity1 with @entity303 are disproportionately represented in @entity130 , experience longer hospital LOS and have poorer outcomes. Ninety percent of hospitalisations for @entity1 with @entity303 were as a result of a fall, highlighting the importance of developing and implementing effective fall-related preventive strategies in this high risk population.

The influence of @entity303 on XXXX and outcomes in older adults.

@entity1 :: ('9606', 'Species') :: ['People', 'people'] @entity4736 :: ('6240', 'Gene') :: ['RR 1'] @entity174 :: ('MESH:D050723', 'Disease') :: ['fracture'] @entity303 :: ('MESH:D003704', 'Disease') :: ['dementia'] @entity130 :: ('MESH:D014947', 'Disease') :: ['injury-related hospitalisations', 'injury types']
@entity130 :: (MESH:D014947,Disease) :: ['injury-related hospitalisations']
