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
Observations of caregiver supervision of children at beaches : Identification of factors associated with high supervision
- Authors: Petrass, Lauren , Blitvich, Jennifer , Finch, Caroline
- Date: 2011
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 17, no. 4 (2011), p. 244-249
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Relation: http://purl.org/au-research/grants/nhmrc/565904
- Full Text: false
- Reviewed:
- Description: Objective: To identify independent factors associated with caregiver supervision levels at beaches. Methods: Children (aged 1-14 years) engaged in beach play and their caregivers were observed at Australian beaches during September-April, 2008/09. Caregiver, child, and environmental factor data were collected and recorded on a validated observation instrument. The main outcome of interest was a continuous measure of supervision. After adjusting for potential clustering by beach/state, multivariable linear regression was used to identify independent factors associated with caregiver supervision. Results: Four independent predictors of supervision and one interaction effect (child age by the caregiver and child position on beach) were identified. Caregivers who were supervising from a different position to where the child was playing were less likely to provide high supervision, as were older caregivers (>35 years) compared to younger caregivers (≤34 years). Compared to children playing alone, children playing with one, or two or more others were less likely to receive high supervision, and children aged 1-4 years were likely to receive higher supervision than older children. Conclusion: This study provides new knowledge about underlying factors associated with the level of caregiver supervision in beach settings. Future studies should continue to explore independent predictors of supervision so that effective programmes, which focus on caregiver supervision, can be targeted to address poor supervision practices.
Statistical modelling of falls count data with excess zeros
- Authors: Khan, Asaduzzaman , Ullah, Shahid , Nitz, Jenny
- Date: 2011
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 17, no. 4 (2011), p. 266-270
- Full Text: false
- Reviewed:
- Description: Objective To examine the appropriateness of different statistical models in analysing falls count data. Methods Six count models (Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), zero-inflated NB (ZINB), hurdle Poisson (HP) and hurdle NB (HNB)) were used to analyse falls count data. Empirical evaluation of the competing models was performed using model selection criteria and goodness-of-fit through simulation. Data used were from a prospective cohort study of women aged 40-80 years. Results Of the 465 women analysed, 330 (71%) did not fall at all. The analyses identified strong evidence of overdispersion in the falls data. The NB-based regression models (HNB, ZINB, NB) were better performed than the Poisson-based regression models (Poisson, ZIP, HP). Vuong tests favoured the HNB model over the NB and ZINB models and the NB model over the ZINB model. Model accuracy measures and Monte Carlo simulation of goodness-of-fit confirmed the lack of fit of the Poissonbased regression models and demonstrated the best fit for the HNB model with comparable good fit for the ZINB and NB models. Conclusions Falls count data consisting of a considerable number of zeros can be appropriately modelled by the NBbased regression models, with the HNB model offering he best fit. The evaluation procedure presented in this aper provides a defensible guideline to appropriately odel falls or similar count data with excess zeros.