Prospective outcomes of injury study
- 1Injury Prevention Research Unit, Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, New Zealand
- 2Te Tumu-School of Māori, Pacific and Indigenous Studies, University of Otago, New Zealand
- 3School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- 4Department of Economics, University of Otago, New Zealand
- 5Ngāi Tahu Māori Health Research Unit, Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, New Zealand
- Correspondence to Professor J Langley, Injury Prevention Research Unit, Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, New Zealand; john.langley{at}ipru.otago.ac.nz
- Accepted 13 April 2009
Abstract
Background: In New Zealand (NZ), 20% of adults report a disability, of which one-third is caused by injury. No prospective epidemiological studies of predictors of disability following all-cause injury among New Zealanders have been undertaken. Internationally, studies have focused on a limited range of predictors or specific injuries. Although these studies provide useful insights, applicability to NZ is limited given the importance of NZ’s unique macro-social factors, such as NZ’s no-fault accident compensation and rehabilitation scheme, the Accident Compensation Corporation (ACC).
Objectives: (1) To quantitatively determine the injury, rehabilitation, personal, social and economic factors leading to disability outcomes following injury in NZ. (2) To qualitatively explore experiences and perceptions of injury-related outcomes in face-to-face interviews with 15 Māori and 15 other New Zealanders, 6 and 12 months after injury.
Setting: Four geographical regions within NZ.
Design: Prospective cohort study with telephone interviews 1, 4 and 12 months after injury.
Participants: 2500 people (including 460 Māori), aged 18–64 years, randomly selected from ACC’s entitlement claims register (people likely to be off work for at least 1 week or equivalent).
Data: Telephone interviews, electronic hospital and ACC injury data. Exposures include demographic, social, economic, work-related, health status, participation and/or environmental factors.
Outcome measures: Primary: disability (including WHODAS II) and health-related quality of life (including EQ-5D). Secondary: participation (paid and unpaid activities), life satisfaction and costs.
Analysis: Separate regression models will be developed for each of the outcomes. Repeated measures outcomes will be modelled using general estimating equation models and generalised linear mixed models.
Footnotes
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▸ For full version go to: Injury Prevention 2009;15:e3. http://injuryprevention.bmj.com/content/vol15/issue5
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Funding Health Research Council of New Zealand and Accident Compensation Corporation, Wellington, New Zealand.
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Competing interests None.
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Provenance and Peer review Not commissioned; not externally peer reviewed.







