Literature DB >> 21986741

Recovery after injury: an individual patient data meta-analysis of general health status using the EQ-5D.

James A Black1, G Peter Herbison, Ronan A Lyons, Suzanne Polinder, Sarah Derrett.   

Abstract

BACKGROUND: General information of health-related quality of life pathways to recovery after injury are largely absent from the literature. This article describes a study which: (1) collated and synthesized individual patient data of injured persons from an earlier systematic review and (2) produced general predictions of health-related quality of life for different injury groups for up to 1 year postinjury.
METHODS: A systematic search of literature from January 1990 to December 2008 was completed. Researchers were approached to share their anonymous individual level data. Injuries were grouped into 39 categories based on the Eurocost injury classifications. Multilevel mixed effects models were used to produce predictions across both the five dimensions and the visual analog scale of the EQ-5D measure at 3 days, 30 days, 120 days, and 360 days postinjury.
RESULTS: Individual patient data from 10,496 injured persons (76% of known data worldwide) was retrieved. Predictions were fitted to 27 of the 39 injury categories covering a wide spectrum of injury types. Across most injuries, pain, or discomfort, usual activities and mobility were the most commonly impaired dimensions. Recovery for pain or discomfort was generally more gradual than other health dimensions. For many injury categories, a considerable proportion of people reported residual impairment at 360 days. Regardless of the anatomic location of injury, similar patterns of recovery or persistent impairment were seen for fractures and strains/sprains. Recovery patterns differed and took much longer than estimated in the Global Burden of Disease Study.
CONCLUSIONS: This study has produced recovery patterns for 27 injury groups using most of the worldwide individual-level data. For many injury categories, recovery is incomplete and takes much longer than estimated. This study infers that the burden of injury is likely being underestimated.

Entities:  

Mesh:

Year:  2011        PMID: 21986741     DOI: 10.1097/TA.0b013e3182238833

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  18 in total

1.  The effect of postinjury depression on quality of life following minor injury.

Authors:  Therese S Richmond; Wensheng Guo; Theimann Ackerson; Judd Hollander; Vicente Gracias; Keith Robinson; Jay Amsterdam
Journal:  J Nurs Scholarsh       Date:  2013-12-19       Impact factor: 3.176

2.  Two years after injury: prevalence and early post-injury predictors of ongoing injury-related problems.

Authors:  Suzanne J Wilson; Gabrielle Davie; Sarah Derrett
Journal:  Qual Life Res       Date:  2017-02-22       Impact factor: 4.147

3.  Seeking support after hospitalisation for injury: a nested qualitative study of the role of primary care.

Authors:  Nicola Christie; Kate Beckett; Sarah Earthy; Blerina Kellezi; Jude Sleney; Jo Barnes; Trevor Jones; Denise Kendrick
Journal:  Br J Gen Pract       Date:  2015-12-06       Impact factor: 5.386

4.  The association between motor vehicle injuries and health-related quality of life: a longitudinal study of a population-based sample in the United States.

Authors:  Suliman Alghnam; Mari Palta; Patrick L Remington; John Mullahy; Maureen S Durkin
Journal:  Qual Life Res       Date:  2013-06-06       Impact factor: 4.147

5.  Predicting non return to work after orthopaedic trauma: the Wallis Occupational Rehabilitation RisK (WORRK) model.

Authors:  François Luthi; Olivier Deriaz; Philippe Vuistiner; Cyrille Burrus; Roger Hilfiker
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

6.  Prevalence and predictors of sub-acute phase disability after injury among hospitalised and non-hospitalised groups: a longitudinal cohort study.

Authors:  Sarah Derrett; Ari Samaranayaka; Suzanne Wilson; John Langley; Shanthi Ameratunga; Ian D Cameron; Rebbecca Lilley; Emma Wyeth; Gabrielle Davie
Journal:  PLoS One       Date:  2012-09-11       Impact factor: 3.240

7.  Comparison of health outcomes between hospitalised and non-hospitalised persons with minor injuries sustained in a road traffic crash in Australia: a prospective cohort study.

Authors:  Bamini Gopinath; Jagnoor Jagnoor; Ian A Harris; Michael Nicholas; Christopher G Maher; Petrina Casey; Fiona Blyth; Doungkamol Sindhusake; Ian D Cameron
Journal:  BMJ Open       Date:  2015-09-24       Impact factor: 2.692

8.  Prevalence and predictors of disability 24-months after injury for hospitalised and non-hospitalised participants: results from a longitudinal cohort study in New Zealand.

Authors:  Sarah Derrett; Suzanne Wilson; Ari Samaranayaka; John Langley; Emma Wyeth; Shanthi Ameratunga; Rebbecca Lilley; Gabrielle Davie; Melbourne Mauiliu
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

9.  Validity and reliability of the EQ-5D-3L™ among a paediatric injury population.

Authors:  Mariana Brussoni; Sami Kruse; Kerry Walker
Journal:  Health Qual Life Outcomes       Date:  2013-09-17       Impact factor: 3.186

Review 10.  Systematic review of methods for individual patient data meta- analysis with binary outcomes.

Authors:  Doneal Thomas; Sanyath Radji; Andrea Benedetti
Journal:  BMC Med Res Methodol       Date:  2014-06-19       Impact factor: 4.615

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.