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

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: Nearly all Dutch citizens have a general practitioner (GP), acting as a gatekeeper to secondary care. Some patients bypass the GP and present to the emergency department (ED). To make best use of existing emergency care, Dutch health policy makers and insurance companies have proposed the integration of EDs and GP cooperatives (GPCs) into one facility. In this study, we examined ED use and assessed the characteristics of self-referrals and non-self-referrals, their need for hospital emergency care and self-referrals' motives for presenting at the ED. Methods: A descriptive cohort study was conducted in a Dutch level 1 trauma centre. Differences in patient characteristics, time of presentation and need for hospital emergency care were analysed using χ² tests and t tests. A patient was considered to need hospital emergency care when he/she was admitted to the hospital, had an extremity fracture and/or when diagnostic tests were performed. Main determinants of self-referral were identified via logistic regression. Results: Of the 5,003 consecutive ED patients registering within the 5-week study period, 3,028 (60.5%) were self-referrals. Thirty-nine percent of the self-referrals had urgent acuity levels, as opposed to 65% of the non-self-referrals. Self-referrals more often suffered from injuries (49 vs. 20%). One third of the self-referrals presented during office hours. Of all self-referrals, 51% needed hospital emergency care. Younger age; non-urgent acuity level; chest pain, ear, nose or throat problems; and injuries were independent predictors for self-referral. Most cited motives for self-referring were ‘accessibility and convenience’ and perceived ‘medical necessity’. Conclusions: A substantial part of the self-referrals needed hospital emergency care. The 49% self-referrals who were eligible for GP care presented during out-of-hours as well as during office hours. This calls for an integrative approach to this health care problem.

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Background: In The Netherlands, the state of emergency department (ED) crowding is unknown. Anecdotal evidence suggests that current ED patients experience a longer length of stay (LOS) compared to some years ago, which is indicative of ED crowding. However, no multicenter studies have been performed to quantify LOS and assess crowding at Dutch EDs. We performed this study to describe the current state of emergency departments in The Netherlands regarding patients' length of stay and ED nurse managers' experiences of crowding. Methods: A survey was sent to all 94 ED nurse managers in The Netherlands with questions regarding the type of facility, annual ED census, and patients' LOS. Additional questions included whether crowding was ever a problem at the particular ED, how often it occurred, which time periods had the worst episodes of crowding, and what measures the particular ED had undertaken to improve patient flow. Results: Surveys were collected from 63 EDs (67%). Mean annual ED visits were 24,936 (SD ± 9,840); mean LOS for discharged patients was 119 (SD ± 40) min and mean LOS for admitted patients 146 (SD ± 49) min. Consultation delays, laboratory and radiology delays, and hospital bed shortages for patients needing admission were the most cited reasons for crowding. Admitted patients had a longer LOS because of delays in obtaining inpatient beds. Thirty-nine of 57 respondents (68%) reported that crowding occurred several times a week or even daily, mostly between 12:00 and 20:00. Measures taken by hospitals to manage crowding included placing patients in hallways and using fasttrack with treatment of patients by trained nurse practitioners. Conclusions: Despite a relatively short LOS, frequent crowding appears to be a nationwide problem according to Dutch ED nurse managers, with 68% of them reporting that crowding occurred several times a week or even daily. Consultations delays, laboratory and radiology delays, and hospital bed shortage for patients needing admission were believed to be the most important factors contributing to ED crowding.

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Introduction: To prevent overcrowding of the emergency department, a flexible acute admission unit (FAAU) was created, consisting of 15 inpatient regular beds located in different departments. We expected the FAAU to result in fewer transfers to other hospitals and in a lower length of stay (LOS) of patients needing hospital admission. Methods: A before-and-after interventional study was performed in a level 1 trauma center in the Netherlands. Number of transfers and LOS of admitted ED patients in a 4-month period in 2008 (control period) and a 4-month period in 2009 (intervention period) were analyzed. Results: Of 1,619 regular admission patients, 768 were admitted in the control period and 851 in the intervention period. The number of transfers decreased from 80 (10.42%) to 54 (6.35%) (P = .0037). The mean ED LOS of both the non-admitted patients and the admitted patients needing special care significantly increased (105 minutes vs 117 minutes [P = .022] and 176 minutes vs 191 minutes [P < .001], respectively). However, the mean LOS of FAAU-admissible patients was unaltered (226 minutes vs 225 minutes, P = .865). Conclusions: The FAAU reduced the number of transfers of admitted patients to other hospitals. The increase in LOS for special care patients and non-admitted patients was not observed for regular, FAAU-admissible patients. Flexible bed management might be useful in preventing overcrowding.@en

Introduction: We developed a stream system to the current triangle system in order to manage patient flow at the emergency department and to clarify ENP role boundaries. Methods: Data on admission and death rates - indicating injury severity - and data on length of stay - indicating resource utilisation - were collected from 48,397 patients triaged in the Netherlands in 2009. Results: A total of 24,294 (50.2%) patients were triaged as 'suitable for treatment by an ENP' (ENP-stream). Remaining patients were triaged 'medium care' or 'high care'. In the medium and high care groups, significantly more admissions took place (6100, 25.3%) and significantly more patients died (31, 0.1%) compared to the patient group in the ENP-stream (admissions: 840, 3.5%, . p<. 0.001 and deaths 0, 0.0%, . p<. 0.001). The ENP-streaming is an accurate predictor of not needing to be admitted (PPV. =. 97%) and of ED survival (PPV. =. 100%). Mean length of stay was significantly shorter for patients in the ENP-stream compared to the other patients (back transformed values: 74 vs. 147. min, . p<. 0.001). Conclusion: This study showed excellent correlation between the ENP-streaming and patients' injury severity and resource utilisation, suggesting high internal validity of our triage streaming system. It clarifies the ENP role, minimising the subjectivity of patient allocation.

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This article reports on the implementation of an adapted version of the Manchester triage system (Mackway-Jones et al 1997) in a Dutch hospital to allow trained nurse practitioners to treat patients with minor injuries or illnesses, and to assess, treat and discharge patients autonomously. The project has helped to prevent long waits in emergency departments for patients with less urgent conditions.@en