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Prospective outcomes of injury study.

Authors :
Derrett S
Langley J
Hokowhitu B
Ameratunga S
Hansen P
Davie G
Wyeth E
Lilley R
Source :
Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention [Inj Prev] 2009 Oct; Vol. 15 (5), pp. e3.
Publication Year :
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).<br />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.<br />Setting: Four geographical regions within NZ.<br />Design: Prospective cohort study with telephone interviews 1, 4 and 12 months after injury.<br />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).<br />Data: Telephone interviews, electronic hospital and ACC injury data. Exposures include demographic, social, economic, work-related, health status, participation and/or environmental factors.<br />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.<br />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.

Details

Language :
English
ISSN :
1475-5785
Volume :
15
Issue :
5
Database :
MEDLINE
Journal :
Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
Publication Type :
Academic Journal
Accession number :
19805606
Full Text :
https://doi.org/10.1136/ip.2009.022558a