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Dive into the research topics where Brian W. Patterson is active.

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Featured researches published by Brian W. Patterson.


Journal of the American Heart Association | 2017

Performance of emergency department screening criteria for an early ecg to identify ST-segment elevation myocardial infarction

Maame Yaa A. B. Yiadom; Christopher W. Baugh; Conor M. McWade; Xulei Liu; Kyoung Jun Song; Brian W. Patterson; Cathy A. Jenkins; Mary Tanski; Angela M. Mills; Gilberto Salazar; Thomas J. Wang; Robert S. Dittus; Dandan Liu; Alan B. Storrow

Background Timely diagnosis of ST‐segment elevation myocardial infarction (STEMI) in the emergency department (ED) is made solely by ECG. Obtaining this test within 10 minutes of ED arrival is critical to achieving the best outcomes. We investigated variability in the timely identification of STEMI across institutions and whether performance variation was associated with the ED characteristics, the comprehensiveness of screening criteria, and the STEMI screening processes. Methods and Results We examined STEMI screening performance in 7 EDs, with the missed case rate (MCR) as our primary end point. The MCR is the proportion of primarily screened ED patients diagnosed with STEMI who did not receive an ECG within 15 minutes of ED arrival. STEMI was defined by hospital discharge diagnosis. Relationships between the MCR and ED characteristics, screening criteria, and STEMI screening processes were assessed, along with differences in door‐to‐ECG times for captured versus missed patients. The overall MCR for all 7 EDs was 12.8%. The lowest and highest MCRs were 3.4% and 32.6%, respectively. The mean difference in door‐to‐ECG times for captured and missed patients was 31 minutes, with a range of 14 to 80 minutes of additional myocardial ischemia time for missed cases. The prevalence of primarily screened ED STEMIs was 0.09%. EDs with the greatest informedness (sensitivity+specificity−1) demonstrated superior performance across all other screening measures. Conclusions The 29.2% difference in MCRs between the highest and lowest performing EDs demonstrates room for improving timely STEMI identification among primarily screened ED patients. The MCR and informedness can be used to compare screening across EDs and to understand variable performance.


Journal of the American Geriatrics Society | 2017

Using Chief Complaint in Addition to Diagnosis Codes to Identify Falls in the Emergency Department

Brian W. Patterson; Maureen A. Smith; Michael D. Repplinger; Michael S. Pulia; James E. Svenson; Michael K. Kim; Manish N. Shah

To compare incidence of falls in an emergency department (ED) cohort using a traditional International Classification of Diseases, Ninth Revision (ICD‐9) code–based scheme and an expanded definition that included chief complaint information and to examine the clinical characteristics of visits “missed” in the ICD‐9‐based scheme.


American Journal of Emergency Medicine | 2017

Anemia is not a risk factor for developing pulmonary embolism

John B. Harringa; Rebecca L. Bracken; Scott K. Nagle; Mark L. Schiebler; Brian W. Patterson; James E. Svenson; Michael D. Repplinger

Objective: Our aim was to validate the previously published claim of a positive relationship between low blood hemoglobin level (anemia) and pulmonary embolism (PE). Methods: This was a retrospective study of patients undergoing cross‐sectional imaging to evaluate for PE at an academic medical center. Patients were identified using billing records for charges attributed to either magnetic resonance angiography or computed tomography angiography of the chest from 2008 to 2013. The main outcome measure was mean hemoglobin levels among those with and without PE. Our reference standard for PE status included index imaging results and a 6‐month clinical follow‐up for the presence of interval venous thromboembolism, conducted via review of the electronic medical record. Secondarily, we performed a subgroup analysis of only those patients who were seen in the emergency department. Finally, we again compared mean hemoglobin levels when limiting our control population to an age‐ and sex‐matched cohort of the included cases. Results: There were 1294 potentially eligible patients identified, of whom 121 were excluded. Of the remaining 1173 patients, 921 had hemoglobin levels analyzed within 24 hours of their index scan and thus were included in the main analysis. Of those 921 patients, 107 (11.6%; 107/921) were positive for PE. We found no significant difference in mean hemoglobin level between those with and without PE regardless of the control group used (12.4 ± 2.1 g/dL and 12.3 ± 2.0 g/dL [P = .85], respectively). Conclusions: Our data demonstrated no relationship between anemia and PE.


Academic Emergency Medicine | 2017

Acute Coronary Syndrome Screening and Diagnostic Practice Variation

Maame Yaa A. B. Yiadom; Xulei Liu; Conor M. McWade; Dandan Liu; Alan B. Storrow; Patricia Herdon-Meadors; Wesley Shuler; Eric Goldlust; Charles Sawyer; Andrew Wong; Mary Tanski; Brian W. Patterson; Daniel C. Wiener; Christopher W. Baugh; Jestin N. Carlson; Tania D. Strout; Charles D. Hill; Michael A. Turturro; Carlene Whitcomb; Patricia Dunlap; Rick A. McPheeters; Nicholas P. Gavin; Johnathan Hansen; Cindy Web; Meghan Calichman; Paul Z. Chen; Gilberto Salazar; Brooke Shepard; Benjamin Milligan; Kenneth Rudd

BACKGROUND In the absence of the existing acute coronary syndrome (ACS) guidelines directing the clinical practice implementation of emergency department (ED) screening and diagnosis, there is variable screening and diagnostic clinical practice across ED facilities. This practice diversity may be warranted. Understanding the variability may identify opportunities for more consistent practice. METHODS This is a cross-sectional clinical practice epidemiology study with the ED as the unit of analysis characterizing variability in the ACS evaluation across 62 diverse EDs. We explored three domains of screening and diagnostic practice: 1) variability in criteria used by EDs to identify patients for an early electrocardiogram (ECG) to diagnose ST-elevation myocardial infarction (STEMI), 2) nonuniform troponin biomarker and formalized pre-troponin risk stratification use for the diagnosis of non-ST-elevation myocardial infarction (NSTEMI), and 3) variation in the use of noninvasive testing (NIVT) to identify obstructive coronary artery disease or detect inducible ischemia. RESULTS We found that 85% of EDs utilize a formal triage protocol to screen patients for an early ECG to diagnose STEMI. Of these, 17% use chest pain as the sole criteria. For the diagnosis of NSTEMI, 58% use intervals ≥4 hours for a second troponin and 34% routinely risk stratify before troponin testing. For the diagnosis of noninfarction ischemia, the median percentage of patients who have NIVT performed during their ED visit is 5%. The median percentage of patients referred for NIVT in hospital (observation or admission) is 61%. Coronary CT angiography is used in 66% of EDs. Exercise treadmill testing is the most frequently reported first-line NIVT (42%). CONCLUSION Our results suggest highly variable ACS screening and clinical practice.


Western Journal of Emergency Medicine | 2018

By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department

Jamie R. Santistevan; Brian Sharp; Azita G. Hamedani; Scott Fruhan; Andrew W. Lee; Brian W. Patterson

Introduction Opioid prescribing patterns have come under increasing scrutiny with the recent rise in opioid prescriptions, opioid misuse and abuse, and opioid-related adverse events. To date, there have been limited studies on the effect of default tablet quantities as part of emergency department (ED) electronic order entry. Our goal was to evaluate opioid prescribing patterns before and after the removal of a default quantity of 20 tablets from ED electronic order entry. Methods We performed a retrospective observational study at a single academic, urban ED with 58,000 annual visits. We identified all adult patients (18 years or older) seen in the ED and discharged home with prescriptions for tablet forms of hydrocodone and oxycodone (including mixed formulations with acetaminophen). We compared the quantity of tablets prescribed per opioid prescription 12 months before and 10 months after the electronic order-entry prescription default quantity of 20 tablets was removed and replaced with no default quantity. No specific messaging was given to providers, to avoid influencing prescribing patterns. We used two-sample Wilcoxon rank-sum test, two-sample test of proportions, and Pearson’s chi-squared tests where appropriate for statistical analysis. Results A total of 4,104 adult patients received discharge prescriptions for opioids in the pre-intervention period (151.6 prescriptions per 1,000 discharged adult patients), and 2,464 post-intervention (106.69 prescriptions per 1,000 discharged adult patients). The median quantity of opioid tablets prescribed decreased from 20 (interquartile ration [IQR] 10–20) to 15 (IQR 10–20) (p<0.0001) after removal of the default quantity. While the most frequent quantity of tablets received in both groups was 20 tablets, the proportion of patients who received prescriptions on discharge that contained 20 tablets decreased from 0.5 (95% confidence interval [CI] [0.48–0.52]) to 0.23 (95% CI [0.21–0.24]) (p<0.001) after default quantity removal. Conclusion Although the median number of tablets differed significantly before and after the intervention, the clinical significance of this is unclear. An observed wider distribution of the quantity of tablets prescribed after removal of the default quantity of 20 may reflect more appropriate prescribing patterns (i.e., less severe indications receiving fewer tabs and more severe indications receiving more). A default value of 20 tablets for opioid prescriptions may be an example of the electronic medical record’s ability to reduce practice variability in medication orders actually counteracting optimal patient care.


Journal of the American Geriatrics Society | 2018

Using the Hendrich II Inpatient Fall Risk Screen to Predict Outpatient Falls After Emergency Department Visits: Do Hendrich II Scores Predict Outpatient Falls?

Brian W. Patterson; Michael D. Repplinger; Michael S. Pulia; Robert J. Batt; James E. Svenson; Alex Trinh; Eneida A. Mendonça; Maureen A. Smith; Azita G. Hamedani; Manish N. Shah

To evaluate the utility of routinely collected Hendrich II fall scores in predicting returns to the emergency department (ED) for falls within 6 months.


Congress of the International Ergonomics Association | 2018

Team Adaptation to Complex Clinical Situations: The Case of VTE Prophylaxis in Hospitalized Patients

Megan E. Salwei; Pascale Carayon; Ann Schoofs Hundt; Peter Kleinschmidt; Peter Hoonakker; Brian W. Patterson; Douglas A. Wiegmann

Intensive care units (ICUs) are complex environments, which rely on teams in order to coordinate patient care. Venous thromboembolism (VTE), which includes deep vein thrombosis (DVT) and pulmonary embolism (PE), is a major concern for ICU patients, who are frequently immobile. VTE prophylaxis (prevention) occurs throughout different stages of a patient’s stay in the ICU, which range in levels of complexity. The objective of this study is to use social network analysis to understand team adaptation in response to different levels of complexity in the VTE prophylaxis process. The more complex stages of VTE prophylaxis involve more people, more team activities, more team interactions, and more two-way communication compared to the less complex stages. Social network analysis can be used to understand team adaptation to these different levels of complexity in a patient’s ICU care.


BMJ Open | 2018

Measuring outcome differences associated with STEMI screening and diagnostic performance: a multicentred retrospective cohort study protocol

Maame Yaa A. B. Yiadom; Bryn E. Mumma; Christopher W. Baugh; Brian W. Patterson; Angela M. Mills; Gilberto Salazar; Mary Tanski; Cathy A. Jenkins; Timothy J. Vogus; Karen F. Miller; Brittney E Jackson; Christoph U. Lehmann; Stephen C. Dorner; Jennifer L West; Thomas J. Wang; Sean P. Collins; Robert S. Dittus; Gordon R. Bernard; Alan B. Storrow; Dandan Liu

Introduction Advances in ST-segment elevation myocardial infarction (STEMI) management have involved improving the clinical processes connecting patients with timely emergency cardiovascular care. Screening upon emergency department (ED) arrival for an early ECG to diagnose STEMI, however, is not optimal for all patients. In addition, the degree to which timely screening and diagnosis are associated with improved time to intervention and postpercutaneous coronary intervention outcomes, under more contemporary practice conditions, is not known. Methods We present the methods for a retrospective multicentre cohort study anticipated to include 1220 patients across seven EDs to (1) evaluate the relationship between timely screening and diagnosis with treatment and postintervention clinical outcomes; (2) introduce novel measures for cross-facility performance comparisons of screening and diagnostic care team performance including: door-to-screening, door-to-diagnosis and door-to-catheterisation laboratory arrival times and (3) describe the use of electronic health record data in tandem with an existing disease registry. Ethics and dissemination The completion of this study will provide critical feedback on the quality of screening and diagnostic performance within the contemporary STEMI care pathway that can be used to (1) improve emergency care delivery for patients with STEMI presenting to the ED, (2) present novel metrics for the comparison of screening and diagnostic care and (3) inform the development of screening and diagnostic support tools that could be translated to other care environments. We will disseminate our results via publication and quality performance data sharing with each site. Institutional ethics review approval was received prior to study initiation.


American Journal of Roentgenology | 2016

The Association Between Use of Brain CT for Atraumatic Headache and 30-Day Emergency Department Revisitation

Brian W. Patterson; Peter S. Pang; Lora AlKhawam; Azita G. Hamedani; Eneida A. Mendonça; Ying Qi Zhao; Arjun K. Venkatesh

OBJECTIVE The purpose of this article is to describe the association between initial CT for atraumatic headache and repeat emergency department (ED) visitation within 30 days of ED discharge. MATERIALS AND METHODS A retrospective observational study was performed at an academic urban ED with more than 85,000 annual visits. All adult patients with a chief complaint of headache from January through December 2010 who were discharged after ED evaluation were included in the analysis. Patients were excluded if they were transferred, died in the ED, or had a diagnosis indicating a traumatic mechanism. A propensity score-matched logistic regression model was used to determine whether the use of brain CT was associated with the primary outcome of ED revisitation within 30 days, controlling for potential confounding variables. RESULTS Of 80,619 total patient visits to the ED during the study period, 922 ED discharges with a chief complaint of headache were included. A total of 139 (15.1%) patients revisited within 30 days. The return rate was 11.2% among patients who underwent CT at their initial visit and 21.1% among those who did not. In the adjusted analysis, controlling for age, race, sex, insurance status, triage vital signs, laboratory values, and triage pain level, the odds ratio for revisitation given CT performance was 0.49 (95% CI, 0.27-0.86). CONCLUSION After adjustment for clinical factors, we found that patients who underwent a brain CT examination for atraumatic headache at an initial ED visit were less likely to return to the ED within 30 days. Future appropriate use quality metrics regarding ED imaging use may need to incorporate downstream health care use.


Academic Emergency Medicine | 2017

The Impact of Emergency Department Census on the Decision to Admit.

Jillian K. Gorski; Robert J. Batt; Erkin Otles; Manish N. Shah; Azita G. Hamedani; Brian W. Patterson

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Azita G. Hamedani

University of Wisconsin-Madison

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Manish N. Shah

University of Wisconsin-Madison

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Michael D. Repplinger

University of Wisconsin-Madison

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Michael S. Pulia

University of Wisconsin-Madison

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Ann Schoofs Hundt

University of Wisconsin-Madison

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Brian Sharp

University of Wisconsin-Madison

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Christopher W. Baugh

Brigham and Women's Hospital

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Gilberto Salazar

University of Texas Southwestern Medical Center

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James E. Svenson

University of Wisconsin-Madison

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