How comparable are road traffic crash cases in hospital admissions data and police records? An examination of data linkage rates
- Authors: Lujic, Sanja , Finch, Caroline , Boufous, Soufiane , Hayen, Andrew , Dunsmuir, William
- Date: 2008
- Type: Text , Journal article
- Relation: Australian And New Zealand Journal Of Public Health Vol. 32, no. 1 (2008), p. 28-33
- Relation: Open Access
- Full Text: false
- Reviewed:
- Description: OBJECTIVES: An assessment of linked data was used to investigate the scope and the extent to which hospitalisations data and police crash records represent road crashes in New South Wales (NSW). METHODS: Hospital separation records for the period 1 July 2000 to 30 June 2001, inclusive, were linked to police crash casualty records for the same period using probabilistic record linkage techniques. Multivariable logistic regression techniques were used to identify factors independently associated with the probability of record linkage. RESULTS: Of 17,552 road transport-related hospital records, 45.1% matched to police crash casualty records. When the analysis was restricted to road traffic crashes, 69.2% of the 9,178 records had a matching police crash casualty record. Multivariable analysis found the most significant factors contributing to the likelihood of linkage to be road user type, payment status and principal diagnosis of injury variables. Motor vehicle controllers, cases entitled to financial compensation and cases with a principal diagnosis of injury were significantly more likely to be linked than all other cases. CONCLUSIONS: The findings indicate that researchers and policy makers should be cautious when examining traffic crashes based on a separate analysis of the hospitalisations data and police crash records. This is particularly true for crashes involving pedestrians, cyclists and motorcyclists, and those resulting in less severe injuries. IMPLICATIONS: The findings have implications for use of both police crash records and hospital records in informing the development of strategies designed to prevent road trauma in the community.
- Description: 2003006566
Air temperature and the incidence of fall-related hip fracture hospitalisations in older people
- Authors: Turner, R. M. , Hayen, Andrew , Dunsmuir, William , Finch, Caroline
- Date: 2011
- Type: Text , Journal article
- Relation: Osteoporosis International Vol. 22, no. 4 (2011), p. 1183-1189
- Relation: http://purl.org/au-research/grants/nhmrc/565900
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- Reviewed:
- Description: Observation-driven Poisson regression models were used to investigate mean daily air temperature and fall-related hip fracture hospitalisations. After adjustment for season, day-of-week effects, long-term trend and autocorrelation, hip fracture rates are higher in both males and females aged 75+ years when there is a lower air temperature. This study investigated whether there was an association between fall-related hip fracture hospitalisations and air temperature at a day-to-day level, after accounting for seasonal trend and autocorrelation. Observation-driven Poisson regression models were used to investigate mean daily air temperature and fall-related hip fracture hospitalisations for the period 1 July 1998 to 31 December 2004, inclusive, in the Sydney region of New South Wales, Australia, which has a population of 4 million people. Lower daily air temperature was significantly associated with higher fall-related hip fracture hospitalisations in 75+-year-olds: men aged 75-84 years, rate ratio (RR) for a 1A degrees C increase in temperature of 0.98 with 95% confidence interval (0.96, 0.99), men 85+ years RR = 0.98 (0.96, 1.00), women 75-84 years RR = 0.99 (0.98, 1.00), women 85+ years RR = 0.98 (0.97, 0.99). Moreover, there were fewer hospitalisations on weekends compared to weekdays ranging from RR = 0.81 (0.73, 0.90) in women aged 65-74 years to RR = 0.89 (0.80, 0.98) in men aged 85+ years. After adjustment for season, day-of-week effects, long-term trend and autocorrelation, fall-related hip fracture hospitalisation rates are higher in both males and females aged 75+ years when there is a lower air temperature.
Spatial temporal modeling of hospitalizations for fall-related hip fractures in older people
- Authors: Turner, R. M. , Hayen, Andrew , Dunsmuir, William , Finch, Caroline
- Date: 2009
- Type: Text , Journal article
- Relation: Osteoporosis International Vol. , no. (2009), p. 1-7
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Summary: The study determined the spatial temporal characteristics of fall-related hip fractures in the elderly using routinely collected injury hospitalization and sociodemographic data. There was significant spatial temporal variation in hospitalized hip fracture rates in New South Wales, Australia. Introduction: The study determined the spatial temporal characteristics of fall-related hip fractures in the elderly using routinely collected injury hospitalization data. Methods: All New South Wales (NSW), Australia residents aged 65+ years who were hospitalized for a fall-related hip fracture between 1 July 1998 and 30 June 2004 were included. Bayesian Poisson regression was used to model rates in local government areas (LGAs), allowing for the incorporation of spatial, temporal, and covariate effects. Results: Hip fracture rates were significantly decreasing in one LGA, and there were no significant increases in any LGAs. The proportion of the population in residential aged care facilities was significantly associated with the rate of hospitalized hip fractures with a relative risk (RR) of 1.003 (95% credible interval 1.002, 1.004). Socioeconomic status was also related to hospitalized hip fractures with those in the third and fourth quintiles being at decreased risk of hip fracture compared to those in the least disadvantaged (fifth) quintile [RR = 0.837 (0.717, 0.972) and RR = 0.855 (0.743, 0.989) respectively]. Conclusions: There was significant spatial temporal variation in hospitalized hip fracture rates in NSW, Australia. The use of Bayesian methods was crucial to allow for spatial correlation, covariate effects, and LGA boundary changes. © 2009 International Osteoporosis Foundation and National Osteoporosis Foundation.
- Description: 2003008191