Objectives: Near misses include conditions with potential for harm, intercepted medical errors, and events requiring monitoring or intervention to prevent harm. Little is reported on near misses or their importance for quality and safety in the emergency department (ED).
Methods: This is a secondary evaluation of data from a retrospective study of the ED Trigger Tool (EDTT) at an urban, academic ED (data from October 1, 2014, to October 31, 2015; 92,859 eligible visits). All patients 18 years and older completing a visit were eligible. We ran the EDTT, a computerized query for triggers on 13 months of ED visit data, reviewing 5582 selected records using a 2-tiered approach. Events were categorized by occurrence (ED vs present on arrival [POA]), severity, omission/commission, and type, using a taxonomy with categories, subcategories, and cross-cutting modifiers.
Results: We identified 1458 ED near misses in 1269 of 5582 records (22.7%) and 80 near misses that were POA. Patient care events represented most ED near misses, including delays in diagnosis, treatment, and failure to monitor, primarily driven by ED boarding and crowding. Medication events were second most common (17%), including 80 medication administration errors. Of 80 POA events, 42% were related to overanticoagulation. We estimate that 19.3% of all ED visits include a near miss.
Conclusions: Near-miss events are relatively common (22.7% of our sample, 19.3% in the population) and are associated with an increased risk for an adverse event. Most events were patient care related (77%) involving delays due to crowding and ED boarding followed by medication administration errors. The EDTT is a high-yield approach for detecting important near misses and latent system deficiencies that impact patient safety.
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http://dx.doi.org/10.1097/PTS.0000000000001092 | DOI Listing |
Risk Manag Healthc Policy
January 2025
Department of Nursing, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Purpose: The aim of this study is to examine the characteristics of intraoperative nursing near-miss events in interventional operating rooms, systematically identify and analyze associated risks, and propose effective mitigation strategies.
Patients And Methods: A retrospective study was conducted using a specially designed survey focused on nursing near-miss events in Interventional operating rooms. Records of intraoperative near-miss events voluntarily reported by medical and nursing staff between January 2023 and March 2024 were analyzed.
Accid Anal Prev
December 2024
Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.
Near-miss traffic risk estimation using Extreme Value Theory (EVT) models within a real-time framework offers a promising alternative to traditional historical crash-based methods. However, current approaches often lack comprehensive analysis that integrates diverse roadway geometries, crash patterns, and two-dimensional (2D) vehicle dynamics, limiting both their accuracy and generalizability. This study addresses these gaps by employing a high-fidelity, 2D time-to-collision (TTC) near-miss indicator derived from autonomous vehicle (AV) sensor data.
View Article and Find Full Text PDFBackground: Liberal or overtransfusion (OT) may be regarded as "inappropriate," but it is not reported as a transfusion-related adverse event. A definition of OT is lacking. OT may include overdosing of components, giving the incorrect component, or unnecessary administration without evidence of need for transfusion.
View Article and Find Full Text PDFVox Sang
November 2024
Department of Transfusion Medicine, All India Institute of Medical Sciences, New Delhi, India.
Background And Objectives: Wrong blood in tube (WBIT) continues to be a preventable cause of unintended harm to the patient. The literature describing extent of the problem, its consequences and factors leading to WBIT from the perspective of lower middle-income countries (LMICs) is limited. The present study describes WBIT and its outcome in a hospital-based blood centre from an LMIC.
View Article and Find Full Text PDFGlob J Qual Saf Healthc
November 2024
College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Introduction: Prescribing errors (PEs) are the most common type of medication error, which may occur by prescribing the wrong medication, improper dose, dosage, and/or even prescribing a drug to the wrong patient. The present study aims to compile PEs that were generated in an ambulatory care setting at a tertiary-care hospital in Saudi Arabia.
Methods: A retrospective cross-sectional review was conducted for all reported PEs in ambulatory care clinics for 3 years.
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