What Can We Learn From In-Depth Analysis of Human Errors Resulting in Diagnostic Errors in the Emergency Department: An Analysis of Serious Adverse Event Reports

被引:7
|
作者
Baartmans, Mees C. C. [1 ,5 ,6 ]
Hooftman, Jacky [2 ,3 ]
Zwaan, Laura [3 ]
van Schoten, Steffie M. M. [2 ]
Erwich, Jan Jaap H. M. [4 ]
Wagner, Cordula [1 ]
机构
[1] Nivel, Netherlands Inst Hlth Serv Res, Utrecht, Netherlands
[2] Vrije Univ Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Publ & Occupat Hlth, Amsterdam UMC, Amsterdam, Netherlands
[3] Erasmus MC, Inst Med Educ Res Rotterdam iMERR, Rotterdam, Netherlands
[4] Univ Groningen, Univ Med Ctr Groningen, Dept Obstet & Gynecol, Groningen, Netherlands
[5] Otterstr 118-124, NL-3513 CR Utrecht, Netherlands
[6] POB 1568, NL-3500 BN Utrecht, Netherlands
关键词
diagnostic error; diagnostic safety; human error; adverse event; root cause analysis; emergency department; MALPRACTICE CLAIMS;
D O I
10.1097/PTS.0000000000001007
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
IntroductionHuman error plays a vital role in diagnostic errors in the emergency department. A thorough analysis of these human errors, using information-rich reports of serious adverse events (SAEs), could help to better study and understand the causes of these errors and formulate more specific recommendations.MethodsWe studied 23 SAE reports of diagnostic events in emergency departments of Dutch general hospitals and identified human errors. Two researchers independently applied the Safer Dx Instrument, Diagnostic Error Evaluation and Research Taxonomy, and the Model of Unsafe acts to analyze reports.ResultsTwenty-one reports contained a diagnostic error, in which we identified 73 human errors, which were mainly based on intended actions (n = 69) and could be classified as mistakes (n = 56) or violations (n = 13). Most human errors occurred during the assessment and testing phase of the diagnostic process.DiscussionThe combination of different instruments and information-rich SAE reports allowed for a deeper understanding of the mechanisms underlying diagnostic error. Results indicated that errors occurred most often during the assessment and the testing phase of the diagnostic process. Most often, the errors could be classified as mistakes and violations, both intended actions. These types of errors are in need of different recommendations for improvement, as mistakes are often knowledge based, whereas violations often happen because of work and time pressure. These analyses provided valuable insights for more overarching recommendations to improve diagnostic safety and would be recommended to use in future research and analysis of (serious) adverse events.
引用
收藏
页码:E1135 / E1141
页数:7
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  • [1] Emergency department transfers from residential aged care: what can we learn from secondary qualitative analysis of Australian Royal Commission data?
    Cain, Patricia
    Alan, Janine
    Porock, Davina
    [J]. BMJ OPEN, 2022, 12 (09):
  • [2] Common contributing factors of diagnostic error: A retrospective analysis of 109 serious adverse event reports from Dutch hospitals
    Hooftman, Jacky
    Dijkstra, Aart Cornelis
    Suurmeijer, Ilse
    van der Bij, Akke
    Paap, Ellen
    Zwaan, Laura
    [J]. BMJ QUALITY & SAFETY, 2023,
  • [3] TAVR or SAVR? What can we learn from a pooled meta-analysis of reconstructed time to event data?
    Lange, Rudiger
    Vitanova, Keti
    Ruge, Hendrik
    [J]. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2022, 62 (01)
  • [4] Molecular Diagnostic Outcomes from 700 Cases What Can We Learn from a Retrospective Analysis of Clinical Exome Sequencing?
    Murrell, Jill R.
    Nesbitt, Addie May, I
    Baker, Samuel W.
    Pechter, Kieran B.
    Balciuniene, Jorune
    Zhao, Xiaonan
    Denenberg, Elizabeth H.
    DeChene, Elizabeth T.
    Wu, Chao
    Jayaraman, Pushkala
    Cao, Kajia
    Gonzalez, Michael
    Devoto, Marcella
    Testori, Alessandro
    Monos, John D.
    Dulik, Matthew C.
    Conlin, Laura K.
    Luo, Minjie
    Gibson, Kristin McDonald
    Guan, Qiaoning
    Sarmady, Mahdi
    Bhoj, Elizabeth
    Helbig, Ingo
    Zackai, Elaine H.
    Bedoukian, Emma C.
    Wilkens, Alisha
    Tarpinian, Jennifer
    Izumi, Kosuke
    Skraban, Cara M.
    Deardorff, Matthew A.
    Medne, Livija
    Krantz, Ian D.
    Krock, Bryan L.
    Santani, Avni B.
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2022, 24 (03): : 274 - 286
  • [5] Use and misuse of the emergency room by patients with eating disorders in a matched-cohort analysis: What can we learn from it?
    Castellini, Giovanni
    Cassioli, Emanuele
    Rossi, Eleonora
    Marchesoni, Giorgia
    Cerini, Gabriele
    Pastore, Elisa
    Cavalcabo, Nora De Bonfioli
    Rotella, Francesco
    Mezzani, Barbara
    Alterini, Brunetto
    Lucarelli, Stefano
    Magazzini, Simone
    Corazzesi, Patrizia
    Caini, Saverio
    Ricca, Valdo
    [J]. PSYCHIATRY RESEARCH, 2023, 328
  • [6] What can we learn from patient claims? A retrospective analysis of incidence and patterns of adverse events after orthopaedic procedures in Sweden
    Annica Öhrn
    Johan Elfström
    Hans Tropp
    Hans Rutberg
    [J]. Patient Safety in Surgery, 6 (1)
  • [7] What can we learn from patient claims? A retrospective analysis of incidence and patterns of adverse events after orthopaedic procedures in Sweden
    Oehm, Annica
    Elfstrom, Johan
    Tropp, Hans
    Rutberg, Hans
    [J]. PATIENT SAFETY IN SURGERY, 2012, 6
  • [8] What can we learn about unintended consequences from a textual analysis of monitoring reports and evaluations for US foreign assistance programs?
    de Alteriis, Martin
    [J]. EVALUATION AND PROGRAM PLANNING, 2020, 79
  • [9] Post-partum hemorrhage and malpractice claims: What can we learn from the findings of placental examination and endometrial curettage? A retrospective analysis of surgical pathology reports
    Marchetti, Daniela
    Vellone, Valerio
    Dhimitri, Ollga
    Fulcheri, Ezio
    [J]. MEDICINE SCIENCE AND THE LAW, 2014, 54 (02) : 99 - 104