Socio-economic inequalities in injury incidence in the Netherlands

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

Health care utilization and health-related quality of life of injury patients:comparison of educational groups

BACKGROUND: Differences in health care utilization by educational level can contribute to inequalities in health. Understanding health care utilization and health-related quality of life (HRQoL) of educational groups may provide important insights into the presence of these inequalities. Therefore, we assessed characteristics, health care utilization and HRQoL of injury patients by educational level. METHOD: Data for this registry based cohort study were extracted from the Dutch Injury Surveillance System. At 6-month follow-up, a stratified sample of patients (≥25 years) with an unintentional injury reported their health care utilization since discharge and completed the EQ-5-Dimension, 5-Level (EQ-5D-5L) and visual analogue scale (EQ VAS). Logistic regression analyses, adjusting for patient and injury characteristics, were performed to investigate the association between educational level and health care utilization. Descriptive statistics were used to analyse HRQoL scores by educational level, for hospitalized and non-hospitalized patients. RESULTS: This study included 2606 patients; 47.9% had a low, 24.4% a middle level, and 27.7% a high level of education. Patients with low education were more often female, were older, had more comorbidities, and lived more often alone compared to patients with high education (p < 0.001). Patients with high education were more likely to visit a general practitioner (OR: 1.38; CI: 1.11–1.72) but less likely to be hospitalized (OR: 0.79; CI: 0.63–1.00) and to have nursing care at home (OR: 0.66; CI: 0.49–0.90) compared to their low educated counterparts. For both hospitalized an non-hospitalized persons, those with low educational level reported lower HRQoL and more problems on all dimensions than those with a higher educational level. CONCLUSION: Post-discharge, level of education was associated with visiting the general practitioner and nursing care at home, but not significantly with use of other health care services in the 6 months post-injury. Additionally, patients with a low educational level had a poorer HRQoL. However, other factors including age and sex may also explain a part of these differences between educational groups. It is important that patients are aware of potential consequences of their trauma and when and why they should consult a specific health care service after ED or hospital discharge. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06913-3

The effect of comorbidity on health-related quality of life for injury patients in the first year following injury: comparison of three comorbidity adjustment approaches

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 case

Burden of injury in childhood and adolescence in 8 European countries

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

Posttraumatic stress symptoms and health-related quality of life: a two year follow up study of injury treated at the emergency department

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 t

Anxiety, depression and post-traumatic stress symptoms among injury patients and the association with outcome after injury

Background: Injury patients are at risk for mental health problems, which could result in slower recovery and affect health-related quality of life (HRQoL), health care utilization, and return to work (RTW). Objective: In this study, we determined the prevalence of symptoms indicative of probable depression, anxiety, and post-traumatic stress disorder (PTSD) and their association with HRQoL, health care utilization, and RTW in adult injury patients. Method: Data on unintentional injuries in adult patients were retrieved from the Dutch Injury Surveillance System (DISS) and a six-month follow-up questionnaire that included the Hospital Anxiety and Depression Scale (HADS) and Impact of Event Scale-Revised (IES-R) to assess depression, anxiety, and posttraumatic stress disorder (PTSD) symptoms, and items on HRQoL (measured with the EQ-5D-5 L and EQ visual analogue scale), health care utilization and RTW. Logistic regression analyses assessed the association between depression, anxiety, and PTSD and HRQoL, health care utilization, and RTW. Results: At six months post-injury, 22% (n = 665/3060) of included patients had scores indicative of probable anxiety disorder (14%), depression (16%), and/or PTSD (6%). These patients had reduced EQ-5D utility scores [β: −0.26 (95% CI: −0.28, −0.23)] and were less likely to RTW [OR: 2.12 (95% CI: 1.34, 3.37)] compared to their counterparts. Both mental and physical health care utilization were significantly higher in patients with symptoms indicative of depression, anxiety, and/or PTSD. Conclusions: In injury patients, there is a high occurrence of depression, anxiety, and PTSD symptoms, which is associated with lower HRQoL, higher health care utilization, and lower RTW rates. These results underline the importance of screening and treatment of these symptoms in this population to enhance good recovery of injury patients

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

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

Functional outcome at 2.5, 5, 9, and 24 months after injury in the Netherlands

BACKGROUND: The collection of empirical data on the frequency, severity, and duration of functioning is a prerequisite to identify patient groups with long term or permanent disability. METHODS: We fielded postal questionnaires in a stratified sample of 8,564 injury patients aged 15 years and older, who had visited an emergency department in the Netherlands. Measurements were at 2.5, 5, 9, and 24 months after the injury and included a generic health status classification (EQ-5D), socio-demographic, and medical information. We analyzed determinants of long-term functional outcome by multivariate regression analysis. RESULTS: Five months after the injury health status of nonhospitalized injury patients was comparable to the general population's health (EQ-5D summary measure 0.87). Health status of patients admitted for 3 days or less improved until 9 months (0.82). For those admitted more than 3 days health status improved until 24 months (0.48 toward 0.67), but remained below population norms. Hospitalization, age and sex (females), type of injury (spinal cord injury, hip fracture, and lower extremity injury), and comorbidity were significant predictors of poor functioning in the long term. CONCLUSIONS: Recovery patterns vary widely between nonhospitalized, shortly, and long hospitalized injury patients. Nonhospitalized injury patients recover within 5 months from an injury whereas a considerable group of hospitalized injury patients suffer from persistent health problems. Our study indicates the importance of health monitoring with an adapted longitudinal design for injury patients. The time intervals used should match the various stages of the recovery process, which depends on the severity of the injury studie