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Background: Among injury victims relatively high prevalence rates of posttraumatic stress disorder (PTSD) have been found. PTSD is associated with functional impairments and decreased health-related quality of life (HRQoL). Previous studies that addressed the latter were restricted to injuries at the higher end of the severity spectrum. This study examined the association between PTSD symptoms and health-related quality of life (HRQoL) in a comprehensive population of injury patients of all severity levels and external causes.Methods: We conducted a self-assessment survey which included items regarding demographics of the patient, accident type, sustained injuries, EuroQol health classification system (EQ-5D) and Health Utilities Index (HUI) to measure functional outcome and HRQoL, and the Impact of Event Scale (IES) to measure PTSD symptoms. An IES-score of 35 or higher was used as indication for the presence of PTSD. The survey was completed by 1,781 injury patients two years after they were treated at the Emergency Department (ED), followed by either hospital admission or direct discharge to th

Background: Three approaches exist to deal with the impact of comorbidity in burden of disease studies - the maximum limit approach, the additive approach, and the multiplicative approach. The aim of this study was to compare the three comorbidity approaches in patients with temporary injury consequences as well as comorbid chronic conditions with nontrivial health impacts.Methods: Disability weights were assessed using data from the EQ-5D instrument developed by the EuroQol Group and derived from a postal survey among 2,295 injury patients at 2.5 and 9 months after being treated at an emergency department. We compared the observed and predicted EQ-5D disability weights in comorbid cases

Injury is the major cause of death and suffering among children and adolescents, but awareness of the problem and political commitment for preventive actions remain unacceptably low. We have assessed variation in the burden of injuries in childhood and adolescence in eight European countries. Hospital, emergency department, and mortality databases of injury patients aged 0-24 years were analyzed for Austria, Denmark, Ireland, Latvia, Netherlands, Norway, Slovenia and the United Kingdom (England, Wales). Years lost due to premature mortality (YLL), years lived with disability (YLD), and disability adjusted life years (DALYs) were calculated. Differences in the burden of injury in childhood and adolescence are large, with a fourfold gap between the safest countries (Netherlands and UK) in western-Europe and the relatively unsafe countries (Latvia and Slovenia) in the east. Variation between countries is attributable to high variation in premature mortality (YLL varied from 14-58 per 1000 persons) and disability (YLD varied from 3-10 per 1000 persons). Highest burden is observed among males ages 15-24. If childhood and adolescence injuries are reduced to the level of current best injury prevention practices, 6 DALYs per 1000 child years can be avoided. Injuries in childhood and adolescence cause a high disability and mortality burden in Europe. In all developmental stages large inequalities between west and east are observed. Potential benefits up to almost 1 million healthy child years gained across Europe are possible, if proven ways for prevention are more widely implemented. Our children deserve action now.

Background: Interventions to reduce socio-economic inequalities in injury incidence should be tailored to specific priority areas that may be identified by descriptive studies. We aimed to provide an overview of existing socio-economic inequalities in injury incidence in the Netherlands and to assess the potential influence of methodological choices on the relationships found. Methods: Self-reported medically treated injuries (all injuries versus fractures) were derived from a survey among a random sample of 59 063 persons. Injuries resulting in hospital admissions (all injuries versus fractures) were derived from a prospective cohort study of 18 810 participants, linked to the National Hospital Discharge Register for a follow-up period of 7 years. Logistic regression was used to calculate the odds ratios of self-reported medically treated injuries and fractures by level of education, occupation and income, and of hospital-admitted injuries by level of education and occupation. Results: Socio-economic inequalities in injury incidence in the Netherlands were dependent on the indicator of non-fatal injury incidence, indicator of socio-economic status (SES) and studied cause of injury. In the majority of specific relations analyzed, injury risks were not or only moderately elevated in lower SES-classes. Analyses focusing on injury with higher severity levels (admitted injuries and/or admitted fractures) revealed the steepest SES gradient with odds ratios of injury of 1.5 or more of the lowest socio-economic (educational) groups compared to persons with higher SES (education). In hospital admitted traffic injuries, we found the most striking difference with a threefold higher risk in the lowest educational groups. Conclusion: Future descriptive research into socio-economic differences in injury incidence should include all three core indicators of SES and separate analyses on the more severe injuries should be conducted.

Objective. To assess the prevalence and the prognostic factors of disabilities after minor and major childhood injuries and to analyze which sociodemographic and injury-related factors are predictive for suboptimal functioning in the long term. Method. We conducted a patient follow-up study in a stratified sample of 1221 injured children who were aged 5 to 14 years and had visited an emergency department in the Netherlands. Our study sample was stratified so that severe, less common injuries were overrepresented. Postal questionnaires were sent 2.5, 5, and 9 months after the injury. We gathered injury and external cause data, sociodemographic information, and data on functional outcome with a generic health status measure EuroQol (EQ-5D) with an additional cognitive dimension. A nonresponse analysis was performed by multivariate logistic regression, and the data were adjusted for nonresponse and the sample stratification. We performed bootstrap analysis to estimate the prevalence of disability in terms of the EQ-5D summary score and the occurrence of limitations in separate health domains: mobility, self-care, usual activities, pain/discomfort, anxiety/depression, and cognition. Respondents also rated their own health state on a visual analog scale, between 0 (worst imaginable health state) and 100 (best imaginable health state). We analyzed the relationship between functional outcome and sociodemographic (age and gender) and injury-related determinants (type of injury, external cause, multiple injury, admission to hospital, and length of stay) by logistic regression analysis. Results. Response rates with respect to the original sample were 43%, 31%, and 30%, respectively. A total of 37% of the children were admitted to the hospital. The mean age of the children was 9.6 years. In two thirds (65%) of the cases, the injury was attributed to a home and/or leisure injury. The health status of injured children improved from 0.92 (EQ-5D summary score) at 2.5 months to 0.9