Literature DB >> 31913847

A survey of outpatient Internal Medicine clinician perceptions of diagnostic error.

John C Matulis1, Susan N Kok2, Eugene C Dankbar3, Andrew J Majka2.   

Abstract

Background Little is known about how practicing Internal Medicine (IM) clinicians perceive diagnostic error, and whether perceptions are in agreement with the published literature. Methods A 16-question survey was administered across two IM practices: one a referral practice providing care for patients traveling for a second opinion and the other a traditional community-based primary care practice. Our aim was to identify individual- and system-level factors contributing to diagnostic error (primary outcome) and conditions at greatest risk of diagnostic error (secondary outcome). Results Sixty-five of 125 clinicians surveyed (51%) responded. The most commonly perceived individual factors contributing to diagnostic error included atypical patient presentations (83%), failure to consider other diagnoses (63%) and inadequate follow-up of test results (53%). The most commonly cited system-level factors included cognitive burden created by the volume of data in the electronic health record (EHR) (68%), lack of time to think (64%) and systems that do not support collaboration (40%). Conditions felt to be at greatest risk of diagnostic error included cancer (46%), pulmonary embolism (43%) and infection (37%). Conclusions Inadequate clinician time and sub-optimal patient and test follow-up are perceived by IM clinicians to be persistent contributors to diagnostic error. Clinician perceptions of conditions at greatest risk of diagnostic error may differ from the published literature.

Entities:  

Keywords:  diagnostic errors; internal medicine; practice patterns; quality of healthcare; surveys and questionnaires

Year:  2020        PMID: 31913847     DOI: 10.1515/dx-2019-0070

Source DB:  PubMed          Journal:  Diagnosis (Berl)        ISSN: 2194-802X


  4 in total

1.  Impact of System and Diagnostic Errors on Medical Litigation Outcomes: Machine Learning-Based Prediction Models.

Authors:  Norio Yamamoto; Shintaro Sukegawa; Takashi Watari
Journal:  Healthcare (Basel)       Date:  2022-05-12

2.  Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study.

Authors:  Yukinori Harada; Shinichi Katsukura; Ren Kawamura; Taro Shimizu
Journal:  Int J Environ Res Public Health       Date:  2021-02-21       Impact factor: 3.390

3.  Cognitive Bias and Diagnostic Errors among Physicians in Japan: A Self-Reflection Survey.

Authors:  Takashi Watari; Yasuharu Tokuda; Yu Amano; Kazumichi Onigata; Hideyuki Kanda
Journal:  Int J Environ Res Public Health       Date:  2022-04-12       Impact factor: 4.614

4.  Outcomes of General Internal Medicine Consultations for Diagnosis from Specialists in a Tertiary Hospital: A Retrospective Observational Study.

Authors:  Masashi Yokose; Yukinori Harada; Shogo Hanai; Shusaku Tomiyama; Taro Shimizu
Journal:  Int J Gen Med       Date:  2022-09-13
  4 in total

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