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      Measuring Emergency Department Acuity

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          Abstract

          Background

          Emergency department (ED) acuity is the general level of patient illness, urgency for clinical intervention, and intensity of resource use in an ED environment. The relative strength of commonly used measures of ED acuity is not well understood.

          Methods

          We performed a retrospective cross-sectional analysis of ED-level data to evaluate the relative strength of association between commonly used proxy measures with a full spectrum measure of ED acuity. Common measures included the percentage of patients with Emergency Severity Index (ESI) scores of 1 or 2, case mix index (CMI), academic status, annual ED volume, inpatient admission rate, percentage of Medicare patients, and patients-seen-per-attending-hour. Our reference standard for acuity is the percentage of high acuity charts (PHAC) coded and billed according to the Centers for Medicare and Medicaid Service’s Ambulatory Payment Classification (APC) system. High acuity charts included those APC 4, 5 or critical care. PHAC was represented as a fractional response variable. We examined the strength of associations between common acuity measures and PHAC using Spearman’s rank correlation coefficients (r s) and regression models including a quasi-binomial generalized linear model and linear regression.

          Results

          In our univariate analysis, the percentage of patients ESI 1 or 2, CMI, academic status and annual ED volume had statistically significant associations with PHAC. None explained more than 16% of PHAC variation. For regression models including all common acuity measures, academic status was the only variable significantly associated with PHAC.

          Conclusion

          ESI had the strongest association with PHAC followed by CMI and annual ED volume. Academic status captures variability outside of that explained by ESI, CMI, annual ED volume, percentage Medicare patients, or patients-per-attending-per-hour. All measures combined only explained only 42.6% of PHAC variation.

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          Author and article information

          Journal
          9418450
          20159
          Acad Emerg Med
          Acad Emerg Med
          Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
          1069-6563
          1553-2712
          22 September 2017
          January 2018
          01 January 2019
          : 25
          : 1
          : 65-75
          Affiliations
          [1 ]Vanderbilt University, Department of Emergency Medicine, Nashville, TN, USA
          [2 ]Brigham and Women’s Hospital, Harvard University, Department of Emergency Medicine, Boston, MA, USA
          [3 ]Vanderbilt University, Department of Biostatistics, Nashville, TN, USA
          [4 ]Vanderbilt University, Owen Graduate School of Management, Nashville, TN, USA
          [5 ]Vanderbilt University, Departments of Anesthesia and Bioinformatics, Nashville, TN, USA
          [6 ]Nashville, TN, USA
          Author notes
          Maame Yaa A. B. Yiadom, MD MPH 1 (corresponding author), Director, The Emergency Department Operations Study Group, Assistant Professor, Emergency Medicine, Vanderbilt University, 1313 21 st Avenue South, 703 Oxford House, Nashville, TN 37232-4700, Phone: 615-936-0087, Fax: 615-936-1316, edopsstudygroup@ 123456gmail.com
          Article
          PMC5764775 PMC5764775 5764775 nihpa908062
          10.1111/acem.13319
          5764775
          28940546
          1088bd90-613e-4eae-a3d2-581593916e02
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