5 research outputs found

    Socio-economic inequalities in injury incidence in the Netherlands

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    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 exist

    Burden of injury in childhood and adolescence in 8 European countries

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    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

    The measurement of long-term health-related quality of life after injury: Comparison of EQ-5D and the health utilities index

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    Objective Empirical head-to-head comparison of the health utility index (HUI) mark 2 and 3 and the EuroQol-5D (EQ-5D) in injury patients of all severity levels to obtain more insight into the strengths and limitations of the multi-attribute utility measures (MAUI) to estimate utility losses in injury populations. Design A self-assessment survey that included the EQ-5D, HUI2 and HUI3 to measure generic health-related quality of life. Patients Injury patients in The Netherlands 2 years after they attended the emergency department. Main Outcome Measures Shannon's index and Shannon's evenness index were used to assess absolute and relative informativity, both for the summary scores and by dimension. The study also analysed convergent and construct validity of the MAUI. Results Mean summary scores significantly differed between the instruments, with highest summary scores for HUI2 (0.88), followed by HUI3 (0.80) and EQ-5D (0.78). Absolute and relative informativity by dimension was highest for the HUI3 descriptive system. The HUI3 was most sensitive for ageing and comorbidity. The largest differences between the MAUI were found for pain/discomfort and anxiety/depression/emotion. The largest differences in discriminative power between EQ-5D and HUI (mark 2 and 3) were seen for skull-brain injury, internal organ injury and upper extremity fractures. Conclusions Different MAUI resulted in significantly different summary scores. The instruments and their dimensions performed differently for injury severity levels, ageing, comorbidity and injury groups. A combination of the HUI and EQ-5D should be used in studies on injury-related disability, because the combination covers all relevant health dimensions, is applicable in all kinds of injury populations and in widely different age range

    Prevalence and prognostic factors of disability after childhood injury

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    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 0.96 at 5 months and 0.98 at 9 months. Of all injured children, 26% had at least 1 functional limitation after 2.5 months, 18% after 5 months, and 8% still experienced functional limitations after 9 months. After 2.5 mo

    Beyond the neglect of psychological consequences: Post-traumatic stress disorder increases the non-fatal burden of injury by more than 50%

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    Background Psychological consequences such as posttraumatic stress disorder (PTSD) are currently neglected in burden-of-injury calculations. Aim To assess the disease burden of PTSD due to unintentional injury and compare this health loss with physical injury consequences. Methods From literature sources, the prevalence of PTSD at four follow-up periods (12 months) was estimated. The uncertainty of the estimated PTSD prevalence was modelled by a Bayesian approach. The prevalence rates were then linked to national data on unintentional injury, disability weights and duration to estimate the incidence and disability-adjusted life years (DALY) resulting from PTSD in addition to physical injury consequences. Results The data suggest that PTSD prevalence among injury victims decreases over time. The average PTSD prevalence at <3 months follow-up was 21% (90% credibility interval (CI) 17% to 24%) for patients presenting at the emergency department and 30% (90% CI 27% to 33%) for patients who were hospitalised, tapering down after 12 months to 4% (90% CI 3% to 5%) and 6% (90% CI 4% to 10%), respectively. These estimates translate into 191 000 (90% CI 161 000 to 222 000) cases of PTSD per year in the Dutch population (1.2%) due to unintentional injury. Including PTSD increases the non-fatal burden of disease of unintentional injuries by 53% (from 116 000 to 178 000 DALYs (90% CI 150 000 to 217 000)). Conclusions Ignoring PTSD in burden-of-injury studies results in a considerable underestimation of the burden of injury. This may affect resource allocation and the identification of important prevention priorities
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