Literature DB >> 17119186

Emergency medicine practitioner knowledge and use of decision rules for the evaluation of patients with suspected pulmonary embolism: variations by practice setting and training level.

Michael S Runyon1, Peter B Richman, Jeffrey A Kline.   

Abstract

BACKGROUND: Several clinical decision rules (CDRs) have been validated for pretest probability assessment of pulmonary embolism (PE), but the authors are unaware of any data quantifying and characterizing their use in emergency departments.
OBJECTIVES: To characterize clinicians' knowledge of and attitudes toward two commonly used CDRs for PE.
METHODS: By using a modified Delphi approach, the authors developed a two-page paper survey including 15 multiple-choice questions. The questions were designed to determine the respondents' familiarity, frequency of use, and comprehension of the Canadian and Charlotte rules. The survey also queried the frequency of use of unstructured (gestalt) pretest probability assessment and reasons why physicians choose not to use decision rules. The surveys were sent to physicians, physician assistants, and medical students at 32 academic and community hospitals in the United States and the United Kingdom.
RESULTS: Respondents included 555 clinicians; 443 (80%) work in academic practice, and 112 (20%) are community based. Significantly more academic practitioners (73%) than community practitioners (49%) indicated familiarity with at least one of the two decision rules. Among all respondents familiar with a rule, 50% reported using it in more than half of applicable cases. A significant number of these respondents could not correctly identify a key component of the rule (23% for the Charlotte rule and 43% for the Canadian rule). Fifty-seven percent of all respondents indicated use of gestalt rather than a decision rule in more than half of cases.
CONCLUSIONS: Academic clinicians were more likely to report familiarity with either of these two specific decision rules. Only one half of all clinicians reporting familiarity with the rules use them in more than 50% of applicable cases. Spontaneous recall of the specific elements of the rules was low to moderate. Future work should consider clinical gestalt in the evaluation of patients with possible PE.

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Year:  2006        PMID: 17119186     DOI: 10.1197/j.aem.2006.07.032

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  15 in total

1.  Evaluation of pulmonary embolism in the emergency department and consistency with a national quality measure: quantifying the opportunity for improvement.

Authors:  Arjun K Venkatesh; Jeffrey A Kline; D Mark Courtney; Carlos A Camargo; Michael C Plewa; Kristen E Nordenholz; Christopher L Moore; Peter B Richman; Howard A Smithline; Daren M Beam; Christopher Kabrhel
Journal:  Arch Intern Med       Date:  2012-07-09

2.  Derivation and validation of a multivariate model to predict mortality from pulmonary embolism with cancer: The POMPE-C tool.

Authors:  Jeffrey A Kline; Pierre-Marie Roy; Martin P Than; Jackeline Hernandez; D Mark Courtney; Alan E Jones; Andrea Penaloza; Charles V Pollack
Journal:  Thromb Res       Date:  2012-04-03       Impact factor: 3.944

3.  Overuse of computed tomography pulmonary angiography in the evaluation of patients with suspected pulmonary embolism in the emergency department.

Authors:  Amanda Crichlow; Adam Cuker; Angela M Mills
Journal:  Acad Emerg Med       Date:  2012-11       Impact factor: 3.451

4.  Optimizing diagnostic imaging in the emergency department.

Authors:  Angela M Mills; Ali S Raja; Jennifer R Marin
Journal:  Acad Emerg Med       Date:  2015-03-02       Impact factor: 3.451

5.  Clinical features from the history and physical examination that predict the presence or absence of pulmonary embolism in symptomatic emergency department patients: results of a prospective, multicenter study.

Authors:  D Mark Courtney; Jeffrey A Kline; Christopher Kabrhel; Christopher L Moore; Howard A Smithline; Kristen E Nordenholz; Peter B Richman; Michael C Plewa
Journal:  Ann Emerg Med       Date:  2010-01-01       Impact factor: 5.721

6.  Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Authors:  R Andrew Taylor; Joseph R Pare; Arjun K Venkatesh; Hani Mowafi; Edward R Melnick; William Fleischman; M Kennedy Hall
Journal:  Acad Emerg Med       Date:  2016-02-13       Impact factor: 3.451

7.  Clinical decision support increases diagnostic yield of computed tomography for suspected pulmonary embolism.

Authors:  Angela M Mills; Ivan K Ip; Curtis P Langlotz; Ali S Raja; Hanna M Zafar; Ramin Khorasani
Journal:  Am J Emerg Med       Date:  2017-09-06       Impact factor: 2.469

8.  The yield of CT pulmonary angiograms to exclude acute pulmonary embolism.

Authors:  Andreu F Costa; Hamed Basseri; Adnan Sheikh; Ian Stiell; Carole Dennie
Journal:  Emerg Radiol       Date:  2013-11-02

9.  Standard practices for computerized clinical decision support in community hospitals: a national survey.

Authors:  Joan S Ash; James L McCormack; Dean F Sittig; Adam Wright; Carmit McMullen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2012-06-15       Impact factor: 4.497

10.  Computed Tomography Angiography in Patients Evaluated for Acute Pulmonary Embolism with Low Serum D-dimer Levels: A Prospective Study.

Authors:  Lana Hirai Gimber; R Ing Travis; Jayme M Takahashi; Torrey L Goodman; Hyo-Chun Yoon
Journal:  Perm J       Date:  2009
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