Objective: This cross-sectional study analyzed associations between and determinants for health-related quality of life (HRQoL), fatigue, and societal participation in polytrauma patients. Summary of background data: More polytrauma patients survive their injuries, often resulting in long-term disabilities. HRQoL is therefore an important outcome of trauma care. Fatigue and societal participation may be related to HRQoL. Also, their relation to severe injuries has not been studied to date. Methods: A total of 283 polytrauma patients (injury severity score 16) admitted to the Dutch level 1 Trauma Centre West were analyzed. HRQoL was measured by the physical component summary (PCS) and mental component summary (MCS) scores of the SF-36, fatigue by the multidimensional fatigue inventory, and societal participation by the Utrecht scale for evaluation of rehabilitation-participation. Age, sex, comorbidity, injury pattern, injury severity, and time since trauma were analyzed as potential determinants. Results: A total of 122 patients (43%) responded after a median follow-up of 15 (range, 10–23) months after polytrauma; 44% reported reduced physical health (PCS, 45) and 47% reported reduced mental health (MCS, 45). HRQoL was highly correlated with all fatigue and participation subscales. Severe head injury was associated with worse mental health. Female patients reported more general and mental fatigue and were less satisfied with their ability to perform daily activities. Patients with pre-existing comorbidity experienced worse physical health, more fatigue, and reduced societal participation. Conclusions: One to 2 years after trauma, polytrauma patients report reduced HRQoL, which is associated with more fatigue and reduced societal participation. Trauma rehabilitation strategies should focus on early recognition of reduced HRQoL, fatigue, and societal participation and facilitate early intervention to improve these outcomes.@en

Background: Unscheduled return visits to the emergency department (ED) may reflect shortcomings in care. This study characterized ED return visits with respect to incidence, risk factors, reasons and post-ED disposition. We hypothesized that risk factors for unscheduled return and reasons for returning would differ from previous studies, due to differences in health care systems. Methods: All unscheduled return visits occurring within 1 week and related to the initial ED visit were selected. Multivariable logistic regression was conducted to determine independent factors associated with unscheduled return, using patient information available at the initial visit. Reasons for returning unscheduled were categorized into illness-, patient- or physician-related. Post-ED disposition was compared between patients with unscheduled return visits and the patients who did not return. Results: Five percent (n = 2,492) of total ED visits (n = 49,341) were unscheduled return visits. Patients with an urgent triage level, patients presenting during the night shift, with a wound or local infection, abdominal pain or urinary problems were more likely to return unscheduled. Reasons to revisit unscheduled were mostly illness-related (49%) or patient-related (41%). Admission rates for returning patients (16%) were the same as for the patients who did not return (17%). Conclusions: Apart from abdominal complaints, risk factors for unscheduled return differ from previous studies. Short-term follow-up at the outpatient clinic or general practitioner for patients with urgent triage levels and suffering from wounds or local infections, abdominal pain or urinary problem might prevent unscheduled return.

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Background: The objective of the current study was to assess the effect of an unusual 10-day snow and ice period on the prevalence of fractures in an emergency department (ED) in the Netherlands. Furthermore, patients with fractures during the snow and ice period were compared to those in the control period with respect to gender, age, location of accident, length of stay, disposition, and anatomical site of the injury. Methods: Fracture prevalence during a 10-day study period with snow and ice (January 14, 2013 until January 23, 2013) was compared to a similar 10-day control period without snow or ice (January 16, 2012 until January 25, 2012). The records of all patients with a fracture were manually selected. Besides this, basic demographics, type of fracture, and location of the accident (inside or outside) were compared. Results: A total of 1,785 patients visited the ED during the study period and 1,974 during the control period. A fracture was found in 224 patients during the study period and in 109 patients during the control period (P <0.01). More fractures sustained outside account for this difference. No differences were found in gender, mean age, and length of ED stay. However, during the snow and ice period the percentage of fractures in the middle-aged (31-60 yrs) was significantly higher than in the control period (P <0.01). Conclusions: The number of fractures sustained more than doubled during a period with snow and ice as compared to the control period. In contrast to other studies outside the Netherlands, not the elderly, but the middle-aged were most affected by the slippery conditions.@en

OBJECTIVES: The aim of this study was to assess the walkout rate and to identify influencing patient and visit characteristics on walkout. Furthermore, we assessed the reasons for leaving and medical care needs after leaving.
METHODS: In a 4-month population-based cohort study, the characteristics and influencing factors of walkout from two emergency departments in the Netherlands were studied. Afterwards, a follow-up telephone interview was conducted to assess the reasons for leaving and medical care needed.
RESULTS: A total of 169 out of 23 780 (0.7%) registered patients left without treatment, of whom 62% left after triage. Of the triaged walkouts, 26% had urgent or highly urgent medical complaints and target times to treatment had elapsed for 54% of the triaged walkouts. Independent predictors of leaving without treatment included being self-referred, arriving during the evening or night or during crowded conditions, and relatively lower urgency triage allocation. Ninety (53%) walkouts were contacted afterwards by phone. Long waiting time (61%) was the most-cited prime reason for leaving. Medical problems had resolved spontaneously in 19 of the 90 (21%) walkouts, and 47 (52%) walkouts reported having sought medical care elsewhere. For 24 of the 90 (27%) walkouts with persisting complaints, medical care was advised during the follow-up telephone call.
CONCLUSION: The average observed daily walkout rate was 1.4 patients over the 4-month period. In general, walkouts are self-referrals with lower urgent complaints, arriving during the evening or night shift or during crowded conditions. Most walkouts leave because of perceived long waiting times.@en