A repeat survey of the Association of the Directors of Anatomic and Surgical Pathology, done 10 years after the original was used to assess trends and variability in classifying scenarios as errors, and the preferred post signout report modification for correcting error by the membership of the Association of the Directors of Anatomic and Surgical Pathology. The results were analyzed to inform on whether interpretive amendment rates might act as surrogate measures of interpretive error in pathology. An analyses of the responses indicated that primary level misinterpretations (benign to malignant and vice versa) were universally qualified as error; secondary-level misinterpretations or misclassifications were inconsistently labeled error. There was added variability in the preferred post signout report modification used to correct report alterations. The classification of a scenario as error appeared to correlate with severity of potential harm of the missed call, the perceived subjectivity of the diagnosis, and ambiguity of reporting terminology. Substantial differences in policies for error detection and optimal reporting format were documented between departments. In conclusion, the inconsistency in labeling scenarios as error, disagreement about the optimal post signout report modification for the correction of the error, and variability in error detection policies preclude the use of the misinterpretation amendment rate as a surrogate measure for error in anatomic pathology. There is little change in uniformity of definition, attitudes and perception of interpretive error in anatomic pathology in the last 10 years.
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Br J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
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January 2025
University of Washington School of Medicine, Seattle, Washington, USA.
Introduction: The Society for Pediatric Anesthesia Quality and Safety Committee developed the Pediatric Regional Anesthesia Time-Out Checklist, consisting of 14 safety items intended to be reviewed by an anesthesia team prior to a regional anesthetic. Primarily, we hypothesized that use of this Checklist would increase the number of safety items performed compared with no checklist, evaluating the usefulness of this tool. Secondarily, we hypothesized that, after checklist training, subjects would show better clinical judgment by electing to perform a regional anesthetic in scenarios in which no programmed error existed and electing to not perform a regional anesthetic in scenarios in which a programmed error did exist.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Faculty of Nursing and Health Sciences, Nord University, Bodø, Norway.
Purpose: The Trunk Impairment Scale-modified Norwegian version (TIS-modNV) measures trunk control for clinical and research purposes. This study examined the validity and reliability of the TIS-modNV in people with multiple sclerosis (pwMS).
Materials And Methods: Sixty-eight pwMS (mild to moderate) participated.
Pharmaceutics
December 2024
Faculty of Pharmacy, Capital University of Science and Technology (CUST), Islamabad 44000, Pakistan.
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View Article and Find Full Text PDFPharmaceutics
January 2025
Department of Mathematical and Physical Sciences, Catholic University of Temuco, Temuco 4813302, Chile.
: A previous study investigated the in vitro release of methylene blue (MB), a widely used cationic dye in biomedical applications, from nanocellulose/nanoporous silicon (NC/nPSi) composites under conditions simulating body fluids. The results showed that MB release rates varied significantly with the nPSi concentration in the composite, highlighting its potential for controlled drug delivery. To further analyze the relationship between diffusion dynamics and the MB concentration, this study developed a finite element (FE) method to solve Fick's equations governing the drug delivery system.
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