Literature DB >> 22664742

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

Arjun K Venkatesh1, 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.   

Abstract

BACKGROUND: The National Quality Forum (NQF) has endorsed a performance measure designed to increase imaging efficiency for the evaluation of pulmonary embolism (PE) in the emergency department (ED). To our knowledge, no published data have examined the effect of patient-level predictors on performance.
METHODS: To quantify the prevalence of avoidable imaging in ED patients with suspected PE, we performed a prospective, multicenter observational study of ED patients evaluated for PE from 2004 through 2007 at 11 US EDs. Adult patients tested for PE were enrolled, with data collected in a standardized instrument. The primary outcome was the proportion of imaging that was potentially avoidable according to the NQF measure. Avoidable imaging was defined as imaging in a patient with low pretest probability for PE, who either did not have a D-dimer test ordered or who had a negative D-dimer test result. We performed subanalyses testing alternative pretest probability cutoffs and imaging definitions on measure performance as well as a secondary analysis to identify factors associated with inappropriate imaging. χ(2) Test was used for bivariate analysis of categorical variables and multivariable logistic regression for the secondary analysis.
RESULTS: We enrolled 5940 patients, of whom 4113 (69%) had low pretest probability of PE. Imaging was performed in 2238 low-risk patients (38%), of whom 811 had no D-dimer testing, and 394 had negative D-dimer test results. Imaging was avoidable, according to the NQF measure, in 1205 patients (32%; 95% CI, 31%-34%). Avoidable imaging owing to not ordering a D-dimer test was associated with age (odds ratio [OR], 1.15 per decade; 95% CI, 1.10-1.21). Avoidable imaging owing to imaging after a negative D-dimer test result was associated with inactive malignant disease (OR, 1.66; 95% CI, 1.11-2.49).
CONCLUSIONS: One-third of imaging performed for suspected PE may be categorized as avoidable. Improving adherence to established diagnostic protocols is likely to result in significantly fewer patients receiving unnecessary irradiation and substantial savings.

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Year:  2012        PMID: 22664742      PMCID: PMC3775003          DOI: 10.1001/archinternmed.2012.1804

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  19 in total

1.  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.

Authors:  Michael S Runyon; Peter B Richman; Jeffrey A Kline
Journal:  Acad Emerg Med       Date:  2006-11-21       Impact factor: 3.451

Review 2.  Computed tomography--an increasing source of radiation exposure.

Authors:  David J Brenner; Eric J Hall
Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

3.  Derivation of a simple clinical model to categorize patients probability of pulmonary embolism: increasing the models utility with the SimpliRED D-dimer.

Authors:  P S Wells; D R Anderson; M Rodger; J S Ginsberg; C Kearon; M Gent; A G Turpie; J Bormanis; J Weitz; M Chamberlain; D Bowie; D Barnes; J Hirsh
Journal:  Thromb Haemost       Date:  2000-03       Impact factor: 5.249

4.  Contrast nephropathy following computed tomography angiography of the chest for pulmonary embolism in the emergency department.

Authors:  A M Mitchell; J A Kline
Journal:  J Thromb Haemost       Date:  2006-10-05       Impact factor: 5.824

5.  Critical issues in the evaluation and management of adult patients presenting to the emergency department with suspected pulmonary embolism.

Authors:  Francis M Fesmire; Michael D Brown; James A Espinosa; Richard D Shih; Scott M Silvers; Stephen J Wolf; Wyatt W Decker
Journal:  Ann Emerg Med       Date:  2011-06       Impact factor: 5.721

6.  Excluding pulmonary embolism at the bedside without diagnostic imaging: management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and d-dimer.

Authors:  P S Wells; D R Anderson; M Rodger; I Stiell; J F Dreyer; D Barnes; M Forgie; G Kovacs; J Ward; M J Kovacs
Journal:  Ann Intern Med       Date:  2001-07-17       Impact factor: 25.391

Review 7.  D-dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic review.

Authors:  Paul D Stein; Russell D Hull; Kalpesh C Patel; Ronald E Olson; William A Ghali; Rollin Brant; Rita K Biel; Vinay Bharadia; Neeraj K Kalra
Journal:  Ann Intern Med       Date:  2004-04-20       Impact factor: 25.391

8.  A highly sensitive ELISA D-dimer increases testing but not diagnosis of pulmonary embolism.

Authors:  Christopher Kabrhel; Christina Matts; Mariah McNamara; Jeremy Katz; Thomas Ptak
Journal:  Acad Emerg Med       Date:  2006-03-21       Impact factor: 3.451

9.  Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiography.

Authors:  Andrew J Einstein; Milena J Henzlova; Sanjay Rajagopalan
Journal:  JAMA       Date:  2007-07-18       Impact factor: 56.272

10.  Prospective study of clinician-entered research data in the Emergency Department using an Internet-based system after the HIPAA Privacy Rule.

Authors:  Jeffrey A Kline; Charles L Johnson; William B Webb; Michael S Runyon
Journal:  BMC Med Inform Decis Mak       Date:  2004-10-12       Impact factor: 2.796

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  23 in total

1.  U.S. trends in computed tomography use and diagnoses in emergency department visits by patients with symptoms suggestive of pulmonary embolism, 2001-2009.

Authors:  Lisa B Feng; Jesse M Pines; Hussain R Yusuf; Scott D Grosse
Journal:  Acad Emerg Med       Date:  2013-10       Impact factor: 3.451

2.  Emergency physicians' attitudes and preferences regarding computed tomography, radiation exposure, and imaging decision support.

Authors:  Richard T Griffey; Donna B Jeffe; Thomas Bailey
Journal:  Acad Emerg Med       Date:  2014-07       Impact factor: 3.451

3.  The use of decision support to measure documented adherence to a national imaging quality measure.

Authors:  Ali S Raja; Anurag Gupta; Ivan K Ip; Angela M Mills; Ramin Khorasani
Journal:  Acad Radiol       Date:  2014-03       Impact factor: 3.173

4.  Deciding why and when to use CT in children: a radiologist's perspective.

Authors:  Donald P Frush
Journal:  Pediatr Radiol       Date:  2014-10-11

5.  Yield of CT Pulmonary Angiography in the Emergency Department When Providers Override Evidence-based Clinical Decision Support.

Authors:  Zihao Yan; Ivan K Ip; Ali S Raja; Anurag Gupta; Joshua M Kosowsky; Ramin Khorasani
Journal:  Radiology       Date:  2016-09-30       Impact factor: 11.105

6.  Effect of Evidence-based Clinical Decision Support on the Use and Yield of CT Pulmonary Angiographic Imaging in Hospitalized Patients.

Authors:  Ruth M Dunne; Ivan K Ip; Sarah Abbett; Esteban F Gershanik; Ali S Raja; Andetta Hunsaker; Ramin Khorasani
Journal:  Radiology       Date:  2015-02-13       Impact factor: 11.105

7.  Pulmonary embolism response teams.

Authors:  Nosheen Reza; David M Dudzinski
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-06

8.  Provider Perspectives on the Use of Evidence-based Risk Stratification Tools in the Evaluation of Pulmonary Embolism: A Qualitative Study.

Authors:  Lauren M Westafer; Ashley Kunz; Patrycja Bugajska; Amber Hughes; Kathleen M Mazor; Elizabeth M Schoenfeld; Mihaela S Stefan; Peter K Lindenauer
Journal:  Acad Emerg Med       Date:  2020-03-27       Impact factor: 3.451

9.  Qualitative Study to Understand Ordering of CT Angiography to Diagnose Pulmonary Embolism in the Emergency Room Setting.

Authors:  Soterios Gyftopoulos; Silas W Smith; Emma Simon; Masha Kuznetsova; Leora I Horwitz; Danil V Makarov
Journal:  J Am Coll Radiol       Date:  2017-10-19       Impact factor: 5.532

10.  The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care.

Authors:  Jason Abaluck; Leila Agha; Chris Kabrhel; Ali Raja; Arjun Venkatesh
Journal:  Am Econ Rev       Date:  2016-12
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