ArticlePatient safety in surgery2014
The impact of a standardized incident reporting system in the perioperative setting: a single center experience on 2,563 'near-misses' and adverse events.
Article in Patient safety in surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adverse Events in the Operating Room: Definitions, Prevalence, and Characteristics. A Systematic Review.World journal of surgery · 2019Pooled it
- Perioperative patient safety: nurses' safety perceptions and observed compliance with safety standards in the operating room.BMC nursing · 2026Article
- Occupational hazard incident reporting systems in health facilities across sub-Saharan Africa: A scoping review protocol.PloS one · 2026Article
- Feedback gap and strategies for handling criticism in early surgical career.Surgery open science · 2025Article
- [Safety culture in the operating room-an overview].Orthopadie (Heidelberg, Germany) · 2022Review
- An unusual case of stabbing chest pain …literally: a case report.European heart journal. Case reports · 2022Article
- Development of a taxonomy for characterising medical oncology-related patient safety and quality incidents: a novel approach.BMJ open quality · 2022Article
- Composition and risk assessment of perioperative patient safety incidents reported by anesthesiologists from 2009 to 2019: a single-center retrospective cohort study.BMC anesthesiology · 2021Article
- Outcomes of medical malpractice claims in assisted reproductive technology over a 10-year period from a single carrier.Journal of assisted reproduction and genetics · 2017Article
- Performance gaps and improvement plans from a 5-hospital simulation programme for anaesthesiology providers: a retrospective study.BMJ simulation & technology enhanced learning · 2017Article
- A Case Study on Improving Intensive Care Unit (ICU) Services Reliability: By Using Process Failure Mode and Effects Analysis (PFMEA).Global journal of health science · 2016Article
- How often are Patients Harmed When They Visit the Computed Tomography Suite? A Multi-year Experience, in Incident Reporting, in a Large Academic Medical Center.European radiology · 2016Article
- Learning as we grow, growing as we learn.Journal of anaesthesiology, clinical pharmacologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe reduction of perioperative harm is a major priority of in-hospital health care and the reporting of incidents and their causes is an important source of information to improve perioperative patient safety. We explored the number, nature and causes of voluntarily reported perioperative incidents in order to highlight the areas where further efforts are required to improve patient safety.
methodsData from the Hospital Incident Management System (HIMS), entered in the period from July 2009 to July 2012, were analyzed in a Dutch university hospital. Employees in the perioperatve field filled out a semi-structured digital form of the reporting system. The risk classification of the reported adverse events and 'near misses' was based on the estimated patient consequences and the risk of recurrence, according to national guidelines. Predefined reported incident causes were categorized as human, organizational, technical and patient related.
resultsIn total, 2,563 incidents (1,300 adverse events and 1,263 'near-miss' events) were reported during 67,360 operations. Reporters were anesthesia, operating room and recovery nurses (37%), ward nurses (31%), physicians (17%), administrative personnel (5%), others (6%) and unmentioned (3%). A total of 414 (16%) adverse events had patient consequences (which affected 0,6% of all surgery patients), estimated as catastrophic in 2, very serious in 34, serious in 105, and marginally serious in 273 cases. Shortcomings in communication was the most frequent reported type of incidents. Non-compliance with Standard Operating Procedures (SOPs: instructions, regulations, protocols and guidelines) was reported with 877 (34%) of incident reports. In total, 1,194 (27%) voluntarily reported causes were SOP-related, mainly human-based (79%) and partially organization-based (21%). SOP-related incidents were not associated with more patient consequences than other voluntarily reported incidents. Furthermore 'mistake or forgotten' (15%) and 'communication problems' (11%) were frequently reported causes of incidents.
conclusionsThe analysis of voluntarily reported perioperative incidents identified an association between perioperative patient safety problems and human failure, such as SOP non-compliance, mistakes, forgetting, and shortcomings in communication. The data suggest that professionals themselves indicate that SOP compliance in combination with other human failures provide room for improvement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.