Literature DB >> 35487840

Development of a Novel Emergency Department Quality Measure to Reduce Very Low-Risk Syncope Hospitalizations.

Marc A Probst1, Alexander T Janke2, Adrian D Haimovich2, Arjun K Venkatesh2, Michelle P Lin3, Keith E Kocher4, Marie-Joe Nemnom5, Venkatesh Thiruganasambandamoorthy6.   

Abstract

STUDY
OBJECTIVE: Emergency department (ED) evaluations for syncope are common, representing 1.3 million annual US visits and $2 billion in related hospitalizations. Despite evidence supporting risk stratification and outpatient management, variation in syncope hospitalization rates persist. We sought to develop a new quality measure for very low-risk adult ED patients with syncope that could be applied to administrative data.
METHODS: We developed this quality measure in 2 phases. First, we used an existing prospective, observational ED patient data set to identify a very low-risk cohort with unexplained syncope using 2 variables: age less than 50 years and no history of heart disease. We then applied this to the 2019 Nationwide Emergency Department Sample (NEDS) to assess its potential effect, assessing for hospital-level factors associated with hospitalization variation.
RESULTS: Of the 8,647 adult patients in the prospective cohort, 3,292 (38%) patients fulfilled these 2 criteria: age less than 50 years and no history of heart disease. Of these, 15 (0.46%) suffered serious adverse events within 30 days. In the NEDS, there were an estimated 566,031 patients meeting these 2 criteria, of whom 15,507 (2.7%; 95% confidence interval [CI] 2.48% to 3.00%) were hospitalized. We found substantial variation in the hospitalization rates for this very low-risk cohort, with a median rate of 1.7% (range 0% to 100%; interquartile range 0% to 3.9%). Factors associated with increased hospitalization rates included a yearly ED volume of more than 80,000 (odds ratio [OR] 3.14; 95% CI 2.02 to 4.89) and metropolitan teaching status (OR 1.5; 95% CI 1.24 to 1.81).
CONCLUSION: In summary, our novel syncope quality measure can assess variation in low-value hospitalizations for unexplained syncope. The application of this measure could improve the value of syncope care.
Copyright © 2022 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

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Year:  2022        PMID: 35487840      PMCID: PMC9117517          DOI: 10.1016/j.annemergmed.2022.03.008

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   6.762


  36 in total

1.  Derivation of the San Francisco Syncope Rule to predict patients with short-term serious outcomes.

Authors:  James V Quinn; Ian G Stiell; Daniel A McDermott; Karen L Sellers; Michael A Kohn; George A Wells
Journal:  Ann Emerg Med       Date:  2004-02       Impact factor: 5.721

2.  The ROSE (risk stratification of syncope in the emergency department) study.

Authors:  Matthew J Reed; David E Newby; Andrew J Coull; Robin J Prescott; Keith G Jacques; Alasdair J Gray
Journal:  J Am Coll Cardiol       Date:  2010-02-23       Impact factor: 24.094

3.  Yield of diagnostic tests and its impact on cost in adult patients with syncope presenting to a community hospital.

Authors:  Philip C Johnson; Hussam Ammar; Wael Zohdy; Ragai Fouda; Rukma Govindu
Journal:  South Med J       Date:  2014-11       Impact factor: 0.954

4.  Patient expectations of emergency hospital admission: a cross-sectional questionnaire survey.

Authors:  Erin Whyte; Steve Goodacre
Journal:  Eur J Emerg Med       Date:  2016-06       Impact factor: 2.799

5.  Syncope Evaluation in the Emergency Department Study (SEEDS): a multidisciplinary approach to syncope management.

Authors:  Win K Shen; Wyatt W Decker; Peter A Smars; Deepi G Goyal; Ann E Walker; David O Hodge; Jane M Trusty; Karen M Brekke; Arshad Jahangir; Peter A Brady; Thomas M Munger; Bernard J Gersh; Stephen C Hammill; Robert L Frye
Journal:  Circulation       Date:  2004-11-09       Impact factor: 29.690

6.  Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions.

Authors:  Nihar R Desai; Joseph S Ross; Ji Young Kwon; Jeph Herrin; Kumar Dharmarajan; Susannah M Bernheim; Harlan M Krumholz; Leora I Horwitz
Journal:  JAMA       Date:  2016-12-27       Impact factor: 56.272

7.  Analysis of emergency department visits for palpitations (from the National Hospital Ambulatory Medical Care Survey).

Authors:  Marc A Probst; William R Mower; Hemal K Kanzaria; Jerome R Hoffman; Eric F Buch; Benjamin C Sun
Journal:  Am J Cardiol       Date:  2014-03-01       Impact factor: 2.778

8.  Risk Stratification of Older Adults Who Present to the Emergency Department With Syncope: The FAINT Score.

Authors:  Marc A Probst; Thomas Gibson; Robert E Weiss; Annick N Yagapen; Susan E Malveau; David H Adler; Aveh Bastani; Christopher W Baugh; Jeffrey M Caterino; Carol L Clark; Deborah B Diercks; Judd E Hollander; Bret A Nicks; Daniel K Nishijima; Manish N Shah; Kirk A Stiffler; Alan B Storrow; Scott T Wilber; Benjamin C Sun
Journal:  Ann Emerg Med       Date:  2019-10-23       Impact factor: 5.721

Review 9.  The answer is 17 years, what is the question: understanding time lags in translational research.

Authors:  Zoë Slote Morris; Steven Wooding; Jonathan Grant
Journal:  J R Soc Med       Date:  2011-12       Impact factor: 5.344

10.  Estimating the Cost of Care for Emergency Department Syncope Patients: Comparison of Three Models.

Authors:  Marc A Probst; John K McConnell; Robert E Weiss; Amber L Laurie; Annick N Yagapen; Michelle P Lin; Jeffrey M Caterino; Manish N Shah; Benjamin C Sun
Journal:  West J Emerg Med       Date:  2017-01-20
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