Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften Toetsvragen Web-tv Video Audio
Tips voor Mijn BSL
Inloggen
Top
Quality of Life Research
Gepubliceerd in:

22-02-2017

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

Auteurs: Suzanne J. Wilson, Gabrielle Davie, Sarah Derrett

Gepubliceerd in: Quality of Life Research | Uitgave 7/2017

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

To determine, in a cohort with injuries classified anatomically as mainly minor or moderate and for which only 25% were hospitalised acutely, the prevalence of ongoing problems attributed by participants to their injury 2 years prior, and to examine whether three-month post-injury experiences and expectations predict such problems.

Methods

Participants (N = 2231; 18–64 years at injury) were those in the Prospective Outcomes of Injury Study who completed the initial three-month and final two-year interviews. The outcome measure was whether participants reported ongoing injury-related problems at 2 years. Possible early post-injury predictors were identified from the first interview; pre-injury and injury-related potential confounders from the first interview, insurer records and hospital discharge records. Multivariable models estimated relative risks.

Results

Almost half the participants reported injury-related problems at 2 years. Participants reporting non-recovery at 3 months were more likely than those reporting recovery to have ongoing problems at 2 years, ranging from participants expecting to get better soon [adjusted RR 2.2, 95% CI (1.7,2.8)) to those expecting to never get better (aRR 3.1, 95% CI (2.4,4.0)]. Several three-month post-injury experiences also predicted ongoing problems at 2 years. Participants at highest risk included those with extreme pain [aRR 2.1, 95% CI (1.7,2.5)], and less involvement in usual activities [aRR 1.7, 95% CI (1.5,1.9)].

Conclusions

Findings indicate that early post-injury characteristics predict longer-term recovery among this cohort, most of who were not classified as seriously injured, and provide guidance for future studies on interventions to reduce poor outcome prevalence, particularly focussing on pain management and enabling return to independence and social participation.
vorige artikel Comparing effects between music intervention and aromatherapy on anxiety of patients undergoing mechanical ventilation in the intensive care unit: a randomized controlled trial
volgende artikel General health status in army personnel: relations with health behaviors and psychosocial variables
Literatuur
1.
Polinder, S., Haagsma, J. A., Belt, E., Lyons, R. A., Erasmus, V., Lund, J., & van Beeck, E. F. (2010). A systematic review of studies measuring health-related quality of life of general injury populations. BMC Public Health, 10, 783.CrossRefPubMedPubMedCentral
2.
Van Beeck, E. F., Larsen, C. F., Lyons, R. A., Meerding, W. J., Mulder, S., & Essink-Bot, M. L. (2007). Guidelines for the conduction of follow-up studies measuring injury-related disability. Journal of Trauma-Injury, Infection and Critical Care, 62(2), 534–550.CrossRef
3.
Black, J. A., Herbison, G. P., Lyons, R. A., Polinder, S., & Derrett, S. (2011). Recovery After Injury: An Individual Patient Data Meta-Analysis of General Health Status Using the EQ-5D. Journal of Trauma-Injury, Infection and Critical Care, 71(4), 1003–1010.CrossRef
4.
Derrett, S., Wilson, S., Samaranayaka, A., Langley, J., Wyeth, E., Ameratunga, S., Lilley, R., Davie, G., & Mauiliu, M. (2013). Prevalence and predictors of disability 24 months after Injury for hospitalised and non-hospitalised participants: Results from a longitudinal cohort study in New Zealand. PLoS One, 8(11), e80194.CrossRefPubMedPubMedCentral
5.
Langley, J., Davie, G., Wilson, S., Lilley, R., Ameratunga, S., Wyeth, E., & Derrett, S. (2013). Difficulties in functioning one year after injury: the role of pre-injury sociodemographic and health characteristics, healthcare and injury-related factors. Archives of Physical Medicine and Rehabilitation, 94(7), 1277–1286.CrossRefPubMed
6.
Lyons, R. A., Kendrick, D., Towner, E. M., Christie, N., Macey, S., Coupland, C., & Gabbe, B. J. (2011). Measuring the population burden of injuries–implications for global and national estimates: a multi-centre prospective UK longitudinal study. PLoS Medicine, 8(12), e1001140.CrossRefPubMedPubMedCentral
7.
Holbrook, T. L., Anderson, J. P., Sieber, W. J., Browner, D., & Hoyt, D. B. (1999). Outcome after major trauma: 12-month and 18-month follow-up results from the Trauma Recovery Project. Journal of Trauma-Injury, Infection and Critical Care, 46(5), 765–771. Discussion 771–763.CrossRef
8.
Soberg, H. L., Bautz-Holter, E., Roise, O., & Finset, A. (2007). Long-term multidimensional functional consequences of severe multiple injuries two years after trauma: a prospective longitudinal cohort study. Journal of Trauma-Injury, Infection and Critical Care, 62(2), 461–470.CrossRef
9.
Soberg, H. L., Finset, A., Roise, O., & Bautz-Holter, E. (2012). The trajectory of physical and mental health from injury to 5 years after multiple trauma: a prospective, longitudinal cohort study. Archives of Physical Medicine and Rehabilitation, 93(5), 765–774.CrossRefPubMed
10.
Castillo, R. C., MacKenzie, E. J., Wegener, S. T., Bosse, M. J., & Group, L. S. (2006). Prevalence of chronic pain seven years following limb threatening lower extremity trauma. Pain, 124(3), 321–329.CrossRefPubMed
11.
Richmond, T. S., Amsterdam, J. D., Guo, W., Ackerson, T., Gracias, V., Robinson, K. M., & Hollander, J. E. (2009). The effect of post-injury depression on return to pre-injury function: a prospective cohort study. Psychological Medicine, 39(10), 1709–1720.CrossRefPubMedPubMedCentral
12.
Derrett, S., Davie, G., Ameratunga, S., Wyeth, E., Colhoun, S., Wilson, S., Samaranayaka, A., Lilley, R., Hokowhitu, B., Hansen, P., & Langley, J. (2011). Prospective outcomes of injury study: Recruitment, and participant characteristics, health and disability status. Injury Prevention, 17(6), 415–418.CrossRefPubMed
13.
Derrett, S., Langley, J., Hokowhitu, B., Ameratunga, S., Hansen, P., Davie, G., Wyeth, E., & Lilley, R. (2009). Prospective outcomes of injury study. Injury Prevention, 15(5), e3.CrossRefPubMed
14.
Derrett, S., Samaranayaka, A., Wilson, S., Langley, J., Ameratunga, S., Cameron, I., Lilley, R., Wyeth, E., & Davie, G. (2012). Prevalence and predictors of sub-acute phase disability after injury among hospitalised and non-hospitalised groups: a longitudinal cohort study. PLoS One, 7(9), e44909.CrossRefPubMedPubMedCentral
15.
Langley, J., Derrett, S., Davie, G., Ameratunga, S., & Wyeth, E. (2011). A cohort study of short-term functional outcomes following injury: the role of pre-injury socio-demographic and health characteristics, injury and injury-related healthcare. Health and Quality of Life Outcomes, 9, 68.CrossRefPubMedPubMedCentral
16.
Wilson, S. J., Derrett, S., Cameron, I. D., Samaranayaka, A., Davie, G., & Langley, J. (2014). Prevalence of poor outcomes soon after injury and their association with the severity of the injury. Injury Prevention, 20(1), 57–61.CrossRefPubMed
17.
Harcombe, H., Derrett, S., Samaranayaka, A., Davie, G., Wyeth, E., & Wilson, S. (2014). Factors predictive of subsequent injury in a longitudinal cohort study. Injury Prevention, 20(6), 393–400.CrossRefPubMed
18.
McAllister, S., Derrett, S., Davie, G., & McGee, R. (2014). Injury characteristics and EQ-5D as predictors of wellbeing after injury. International Journal of Wellbeing, 42, 19–31.CrossRef
19.
The EuroQol Group (1990) EuroQol—a new facility for the measurement of health-related quality of life. Health Policy, 16, 199–208.CrossRef
20.
Cole, D. C., Mondloch, M. V., & Hogg-Johnson, S. (2002). Listening to injured workers: how recovery expectations predict outcomes–a prospective study. Canadian Medical Association Journal, 166(6), 749–754.PubMedPubMedCentral
21.
Ferrie, J. E., Shipley, M. J., Stansfeld, S. A., Smith, G. D., & Marmot, M. (2003). Future uncertainty and socioeconomic inequalities in health: the Whitehall II study. Social Science and Medicine, 57(4), 637–646.CrossRefPubMed
22.
Statistics New Zealand (2001). New Zealand Standard Classification of Occupations. Wellington: Statistics New Zealand.
23.
24.
Schwarzer, R., & Jerusalem, M. (1995). Generalized Self-Efficacy scale. In J. Weinman & J. Windsor (Eds.), Measures in health psychology: A user’s portfolio Causal and control beliefs (pp. 35–37). London: NFER-NELSON.
25.
American Psychiatric Association (1980) Committee of Nomenclature and Statistics. Diagnostic and statistical manual of mental disorder-3rd edition (DSM-3). Washington DC: American Psychiatric Association.
26.
27.
28.
Stevenson, M., Segui-Gomez, M., Lescohier, I., Di Scala, C., & McDonald-Smith, G. (2001). An overview of the injury severity score and the new injury severity score. Injury Prevention, 7(1), 10–13.CrossRefPubMedPubMedCentral
29.
National Health Board (2014). National minimum dataset (hospital events) data dictionary. Wellington: Ministry of Health.
30.
Zou, G. (2004). A modified poisson regression approach to prospective studies with binary data. American Journal of Epidemiology, 159(7), 702–706.CrossRefPubMed
31.
Greenland, S (2004). Model-based estimation of relative risks and other epidemiological measures in studies of common outcomes and in case-control studies. American Journal of Epidemiology, 160, 301–305.CrossRefPubMed
32.
Langley, J. D., Lilley, R., Wilson, S., Derrett, S., Samaranayaka, A., Davie, G., Ameratunga, S. N., Wyeth, E. H., Hansen, P., & Hokowhitu, B. (2013). Factors associated with non-participation in one or two follow-up phases in a cohort study of injured adults. Injury Prevention, 19(6), 428–433.CrossRefPubMed
33.
Wilson, R., Derrett, S., Hansen, P., & Langley, J. (2012). Retrospective evaluation versus population norms for the measurement of baseline health status. Health and Quality of Life Outcomes, 10, 68.CrossRefPubMedPubMedCentral
Metagegevens
Titel
Two years after injury: prevalence and early post-injury predictors of ongoing injury-related problems
Auteurs
Suzanne J. Wilson
Gabrielle Davie
Sarah Derrett
Publicatiedatum
22-02-2017
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 7/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-017-1521-9

Andere artikelen Uitgave 7/2017

Quality of Life Research 7/2017 Naar de uitgave

OriginalPaper

The Weiss Functional Impairment Rating Scale-Parent Form for assessing ADHD: evaluating diagnostic accuracy and determining optimal thresholds using ROC analysis

OriginalPaper

Electronic patient-reported outcomes and toxicities during radiotherapy for head-and-neck cancer

OriginalPaper

Demonstration of two types of fatigue in subjects with chronic liver disease using factor analysis

Brief Communication

Does substantiated childhood maltreatment lead to poor quality of life in young adulthood? Evidence from an Australian birth cohort study

OriginalPaper

Gender-related differences in the multi-pathway effect of social determinants on quality of life in older age—the COURAGE in Europe project

OriginalPaper

Executive function as a mediator in the link between single or complex trauma and posttraumatic stress in children and adolescents