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Studying near-miss errors is essential to preventing errors from reaching patients. When an error is committed, it may be intercepted (near-miss) or it will reach the patient; estimates of the proportion that reach the patient vary widely. To better understand this relationship, we conducted a retrospective cohort study using two objective measures to identify wrong-patient imaging order errors involving radiation, estimating the proportion of errors that are intercepted and those that reach the patient. This study was conducted at a large integrated healthcare system using data from 1 January to 31 December 2019. The study used two outcome measures of wrong-patient orders: (1) wrong-patient orders that led to misadministration of radiation reported to the New York Patient Occurrence Reporting and Tracking System (NYPORTS) (misadministration events); and (2) wrong-patient orders identified by the Wrong-Patient Retract-and-Reorder (RAR) measure, a measure identifying orders placed for a patient, retracted and rapidly reordered by the same clinician on a different patient (near-miss events). All imaging orders that involved radiation were extracted retrospectively from the healthcare system data warehouse. Among 293 039 total eligible orders, 151 were wrong-patient orders (3 misadministration events, 148 near-miss events), for an overall rate of 51.5 per 100 000 imaging orders involving radiation placed on the wrong patient. Of all wrong-patient imaging order errors, 2% reached the patient, translating to 50 near-miss events for every 1 error that reached the patient. This proportion provides a more accurate and reliable estimate and reinforces the utility of systematic measure of near-miss errors as an outcome for preventative interventions.
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http://dx.doi.org/10.1136/bmjqs-2023-016162 | DOI Listing |
JAMA Netw Open
December 2024
Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri.
Importance: Use of secure messaging for clinician-to-clinician communication has increased exponentially over the past decade, but its association with clinician work is poorly understood.
Objective: To investigate the association between secure messaging use and wrong-patient ordering errors.
Design, Setting, And Participants: This cohort study included inpatient attending physicians, trainee physicians, and advanced practice practitioners (APPs) from 14 academic and community hospitals.
Glob 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.
BMJ Health Care Inform
November 2024
Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Objectives: Technology-related prescribing errors curtail the positive impacts of computerised provider order entry (CPOE) on medication safety. Understanding how technology-related errors (TREs) occur can inform CPOE optimisation. Previously, we developed a classification of the underlying mechanisms of TREs using prescribing error data from two adult hospitals.
View Article and Find Full Text PDFJAMIA Open
December 2024
Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern 3012, Switzerland.
JAMIA Open
October 2024
Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.
Background: Wrong-patient order entry (WPOE) is a potentially dangerous medical error. It remains unknown if patient photographs reduce WPOE in the pediatric inpatient population.
Materials And Methods: Order sessions from a single pediatric hospital system were examined for retract-and-reorder (RAR) events, a surrogate WPOE measure.