The nature and causes of unintended events reported at ten emergency departments
Open accessAbstract
BACKGROUND: Several studies on patient safety have shown that a substantial number of patients suffer from unintended harm caused by healthcare management in hospitals. Emergency departments (EDs) are challenging hospital settings with regard to patient safety. There is an increased sense of urgency to take effective countermeasures in order to improve patient safety. This can only be achieved if interventions tackle the dominant underlying causes. The objectives of our study are to examine the nature and causes of unintended events in EDs and the relationship between type of event and causal factor structure. METHODS: Study at EDs of 10 hospitals in the Netherlands. The study period per ED was 8 to 14 weeks, in which staff were asked to report unintended events. Unintended events were broadly defined as all events, no matter how seemingly trivial or commonplace, that were unintended and could have harmed or did harm a patient. Reports were analysed with a Root Cause Analysis tool (PRISMA) by an experienced researcher. RESULTS: 522 unintended events were reported. Of the events 25% was related to cooperation with other departments and 20% to problems with materials/equipment. More than half of the events had consequences for the patient, most often resulting in inconvenience or suboptimal care. Most root causes were human (60%), followed by organisational (25%) and technical causes (11%). Nearly half of the root causes was external, i.e. attributable to other departments in or outside the hospital. CONCLUSION: Event reporting gives insight into diverse unintended events. The information on unintended events may help target research and interventions to increase patient safety. It seems worthwhile to direct interventions on the collaboration between the ED and other hospital departments.
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Emergency departments face problems with overcrowding, delays, cost containment, and patient safety.
“The need for improvement in emergency departments (EDs) with respect to the cost of care, the speed of service, overcrowding, and patient safety is now widely accepted [1–4].”
From Lean Thinking in Emergency Departments: A Critical Review (2011) · cites this paper as [4]
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- Authors
- Smits, M., Groenewegen, P. P., Timmermans, D. R., van der Wal, G., & Wagner, C.
- Affiliations
- Netherlands Institute for Health Services Research (NL)
- Utrecht University (NL)
- Corresponding author
- Smits, Marleen
- Venue
- BMC Emergency Medicine
- Published
- 2009-09-18
- Volume
- 9
- Issue
- 1
- Pages
- 16-16
- ISSN
- 1471-227X (ISSN-L)
- PMC
- PMC2753307
- OpenAlex
- W2023538669
- Cited by
- 66
- References
- 31
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 7 · 2015: 12 · 2014: 6 · 2013: 2 · 2012: 1
- FWCI
- 3.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Emergency Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Keywords
- patient safety, emergency department, root cause analysis, event reporting, inter-agency cooperation, human factors, patient harm
- MeSH terms
- Documentation, Emergency Service, Hospital, Humans, Netherlands, Causality, Safety Management, Medical Errors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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