This study aimed to evaluate the efficacy of interventions to reduce patient misidentification incidents classified as level 2 and over (adverse events occurred for patients) with the step-by-step problem-solving method. All incidents related to patient misidentification were selected, and relevant information was collected from the original electronic incident reports. We then conducted an eight-step problem-solving process with the aim of reducing patient misclassification and improving patient safety. Step 1: the number of misidentification-related incident reports and the percentage of these reports in the total incident reports increased each year. Step 2: the most frequent misidentification type was sample collection tubes, followed by drug administration and hospital meals. Step 3: we set a target of an 20% decrease in patient misidentification cases classified as level 2 or over compared with the previous year, and established this as a hospital priority. Step 4: we found that discrepancies in patient identification procedures were the most important causes of misidentification. Step 5: we standardized the patient identification process to achieve an 10% reduction in misidentification. Step 6: we disseminated instructional videos to all staff members. Step 7: we confirmed there was an 18% reduction in level 2 and over patient misidentification compared with the previous year. Step 8: we intend to make additional effort to decrease misidentification of patients by a further 10%. Level 2 and over patient misidentification can be reduced by a patient identification policy using a step-by-step problem-solving procedure. This study aimed to evaluate the efficacy of interventions to reduce patient misidentification incidents with step-by-step problem-solving method. Continued seamless efforts to eliminate patient misidentification are mandatory for this activity.
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http://dx.doi.org/10.18999/nagjms.82.2.315 | DOI Listing |
PLoS One
December 2024
Laboratorio Clínico, Clínica Alemana, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Filamentous fungi are an emergent cause of severe infections in immunocompromised patients. Timely and accurate identification is crucial to initiate appropriate therapy. Traditional identification methods are time-consuming, labor-intensive, and operator-dependent.
View Article and Find Full Text PDFFolia Microbiol (Praha)
December 2024
Department of Medical Microbiology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
Brucellosis is a zoonosis with non-specific clinical symptoms involving multiple systems and organs. Its prevalence is low in most of EU countries, which can lead to the difficulties in laboratory and clinical diagnostic. Due to its relationship to the Ochrobactrum spp.
View Article and Find Full Text PDFAmyloid
December 2024
Centre for Amyloidosis, Division of Medicine, University College London, London, UK.
Background: Proteomics is routinely used to type clinical amyloid deposits, and offers additional benefit of identifying genetic variants, which can be diagnostically useful. Reviewing the proteomics data for ATTR patients attending our Centre revealed an unusually large number of samples containing a rare pathogenic H90D TTR variant alongside the more common H90N variant.
Methods: These findings raised questions to their source.
is an emerging multidrug-resistant fungal pathogen that has become a significant global health concern, particularly in critically ill patients within hospital settings. It is known for its high mortality rates, diagnostic challenges, and frequent misidentification, which delays appropriate treatment. We present a case of a 72-year-old male with diabetes and hypertension who initially presented with a persistent cough, hemoptysis, and fever and was initially suspected of having pulmonary tuberculosis.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Anthropology, Faculty of Biology and Environmental Protection, University of Lodz, Banacha Str. 12/16, Łódź, 90-237, Poland.
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