Prashant Mahajan, Emily White, Kathy Shaw, Sarah J Parker, James Chamberlain, Richard M Ruddy, Elizabeth R Alpern, Jacqueline Corboy, Andrew Krack, Brandon Ku, Daphne Morrison Ponce, Asha S Payne, Elizabeth Freiheit, Gregor Horvath, Giselle Kolenic, Michele Carney, Nicole Klekowski, Karen J O'Connell, Hardeep Singh
{"title":"儿科急诊科使用电子触发器诊断错误的流行病学","authors":"Prashant Mahajan, Emily White, Kathy Shaw, Sarah J Parker, James Chamberlain, Richard M Ruddy, Elizabeth R Alpern, Jacqueline Corboy, Andrew Krack, Brandon Ku, Daphne Morrison Ponce, Asha S Payne, Elizabeth Freiheit, Gregor Horvath, Giselle Kolenic, Michele Carney, Nicole Klekowski, Karen J O'Connell, Hardeep Singh","doi":"10.1111/acem.15087","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>We applied three electronic triggers to study frequency and contributory factors of missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments (EDs): return visits within 10 days resulting in admission (Trigger 1), care escalation within 24 h of ED presentation (Trigger 2), and death within 24 h of ED visit (Trigger 3).</p><p><strong>Methods: </strong>We created an electronic query and reporting template for the triggers and applied them to electronic health record systems of five pediatric EDs for visits from 2019. Clinician reviewers manually screened identified charts and initially categorized them as \"unlikely for MOIDs\" or \"unable to rule out MOIDs\" without a detailed chart review. For the latter category, reviewers performed a detailed chart review using the Revised Safer Dx Instrument to determine the presence of a MOID.</p><p><strong>Results: </strong>A total of 2937 ED records met trigger criteria (Trigger 1 1996 [68%], Trigger 2 829 [28%], Trigger 3 112 [4%]), of which 2786 (95%) were categorized as unlikely for MOIDs. The Revised Safer Dx Instrument was applied to 151 (5%) records and 76 (50%) had MOIDs. The overall frequency of MOIDs was 2.6% for the entire cohort, 3.0% for Trigger 1, 1.9% for Trigger 2, and 0% for Trigger 3. Brain lesions, infections, or hemorrhage; pneumonias and lung abscess; and appendicitis were the top three missed diagnoses. The majority (54%) of MOIDs cases resulted in patient harm. Contributory factors were related to patient-provider (52.6%), followed by patient factors (21.1%), system factors (13.2%), and provider factors (10.5%).</p><p><strong>Conclusions: </strong>Using electronic triggers with selective record review is an effective process to screen for harmful diagnostic errors in EDs: detailed review of 5% of charts revealed MOIDs in half, of which half were harmful to the patient. With further refining, triggers can be used as effective patient safety tools to monitor diagnostic quality.</p>","PeriodicalId":7105,"journal":{"name":"Academic Emergency Medicine","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers.\",\"authors\":\"Prashant Mahajan, Emily White, Kathy Shaw, Sarah J Parker, James Chamberlain, Richard M Ruddy, Elizabeth R Alpern, Jacqueline Corboy, Andrew Krack, Brandon Ku, Daphne Morrison Ponce, Asha S Payne, Elizabeth Freiheit, Gregor Horvath, Giselle Kolenic, Michele Carney, Nicole Klekowski, Karen J O'Connell, Hardeep Singh\",\"doi\":\"10.1111/acem.15087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>We applied three electronic triggers to study frequency and contributory factors of missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments (EDs): return visits within 10 days resulting in admission (Trigger 1), care escalation within 24 h of ED presentation (Trigger 2), and death within 24 h of ED visit (Trigger 3).</p><p><strong>Methods: </strong>We created an electronic query and reporting template for the triggers and applied them to electronic health record systems of five pediatric EDs for visits from 2019. Clinician reviewers manually screened identified charts and initially categorized them as \\\"unlikely for MOIDs\\\" or \\\"unable to rule out MOIDs\\\" without a detailed chart review. For the latter category, reviewers performed a detailed chart review using the Revised Safer Dx Instrument to determine the presence of a MOID.</p><p><strong>Results: </strong>A total of 2937 ED records met trigger criteria (Trigger 1 1996 [68%], Trigger 2 829 [28%], Trigger 3 112 [4%]), of which 2786 (95%) were categorized as unlikely for MOIDs. The Revised Safer Dx Instrument was applied to 151 (5%) records and 76 (50%) had MOIDs. The overall frequency of MOIDs was 2.6% for the entire cohort, 3.0% for Trigger 1, 1.9% for Trigger 2, and 0% for Trigger 3. Brain lesions, infections, or hemorrhage; pneumonias and lung abscess; and appendicitis were the top three missed diagnoses. The majority (54%) of MOIDs cases resulted in patient harm. Contributory factors were related to patient-provider (52.6%), followed by patient factors (21.1%), system factors (13.2%), and provider factors (10.5%).</p><p><strong>Conclusions: </strong>Using electronic triggers with selective record review is an effective process to screen for harmful diagnostic errors in EDs: detailed review of 5% of charts revealed MOIDs in half, of which half were harmful to the patient. 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Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers.
Objectives: We applied three electronic triggers to study frequency and contributory factors of missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments (EDs): return visits within 10 days resulting in admission (Trigger 1), care escalation within 24 h of ED presentation (Trigger 2), and death within 24 h of ED visit (Trigger 3).
Methods: We created an electronic query and reporting template for the triggers and applied them to electronic health record systems of five pediatric EDs for visits from 2019. Clinician reviewers manually screened identified charts and initially categorized them as "unlikely for MOIDs" or "unable to rule out MOIDs" without a detailed chart review. For the latter category, reviewers performed a detailed chart review using the Revised Safer Dx Instrument to determine the presence of a MOID.
Results: A total of 2937 ED records met trigger criteria (Trigger 1 1996 [68%], Trigger 2 829 [28%], Trigger 3 112 [4%]), of which 2786 (95%) were categorized as unlikely for MOIDs. The Revised Safer Dx Instrument was applied to 151 (5%) records and 76 (50%) had MOIDs. The overall frequency of MOIDs was 2.6% for the entire cohort, 3.0% for Trigger 1, 1.9% for Trigger 2, and 0% for Trigger 3. Brain lesions, infections, or hemorrhage; pneumonias and lung abscess; and appendicitis were the top three missed diagnoses. The majority (54%) of MOIDs cases resulted in patient harm. Contributory factors were related to patient-provider (52.6%), followed by patient factors (21.1%), system factors (13.2%), and provider factors (10.5%).
Conclusions: Using electronic triggers with selective record review is an effective process to screen for harmful diagnostic errors in EDs: detailed review of 5% of charts revealed MOIDs in half, of which half were harmful to the patient. With further refining, triggers can be used as effective patient safety tools to monitor diagnostic quality.
期刊介绍:
Academic Emergency Medicine (AEM) is the official monthly publication of the Society for Academic Emergency Medicine (SAEM) and publishes information relevant to the practice, educational advancements, and investigation of emergency medicine. It is the second-largest peer-reviewed scientific journal in the specialty of emergency medicine.
The goal of AEM is to advance the science, education, and clinical practice of emergency medicine, to serve as a voice for the academic emergency medicine community, and to promote SAEM''s goals and objectives. Members and non-members worldwide depend on this journal for translational medicine relevant to emergency medicine, as well as for clinical news, case studies and more.
Each issue contains information relevant to the research, educational advancements, and practice in emergency medicine. Subject matter is diverse, including preclinical studies, clinical topics, health policy, and educational methods. The research of SAEM members contributes significantly to the scientific content and development of the journal.