ArticleNagoya journal of medical science2020
Intervention efficacy for eliminating patient misidentification using step-by-step problem-solving procedures to improve patient safety.
Article in Nagoya journal of medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Essential Competencies for Nurses in Earthquake Emergencies: A Meta-Synthesis of Experience-Based Evidence.Florence Nightingale journal of nursing · 2026Article
- Article
- Patient safety reporting and learning system of Catalonia (SNiSP Cat): a health policy initiative to enhance culture, leadership and professional engagement.BMJ open quality · 2024Article
- Review
- Assessment of the Use of Patient Vital Sign Data for Preventing Misidentification and Medical Errors.Healthcare (Basel, Switzerland) · 2022Article
- Implementation of Health Information Systems to Improve Patient Identification.International journal of environmental research and public health · 2022Article
- The comprehensive double loop activities for patient safety management.Annals of medicine and surgery (2012) · 2022Review
- Implementation strategies for the patient safety reporting system using Consolidated Framework for Implementation Research: a retrospective mixed-method analysis.BMC health services research · 2022Article
- Enhanced hospital-wide communication and interaction by team training to improve patient safety.Nagoya journal of medical science · 2020Article
- Doctors-in-training support strategy from incident report point of view.Annals of medicine and surgery (2012) · 2020Article
- Significance of incident reports by medical doctors for organizational transparency and driving forces for patient safety.Patient safety in surgery · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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