2017
DOI: 10.1111/1475-6773.12638
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A “Patch” to the NYU Emergency Department Visit Algorithm

Abstract: Our patch significantly improves the precision and usefulness of the most commonly used ED visit classification system in health services research.

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Cited by 74 publications
(78 citation statements)
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“…Lastly, there is a sizeable proportion of patients with ED visits unclassified by the NYU ED visit severity algorithm (14.5%) which were not further characterized. This is similar to other studies using this algorithm and a limitation to using this approach (Johnston, Allen, Melanson, & Pitts, 2017).…”
Section: Discussionsupporting
confidence: 90%
“…Lastly, there is a sizeable proportion of patients with ED visits unclassified by the NYU ED visit severity algorithm (14.5%) which were not further characterized. This is similar to other studies using this algorithm and a limitation to using this approach (Johnston, Allen, Melanson, & Pitts, 2017).…”
Section: Discussionsupporting
confidence: 90%
“…Common factors for inappropriate ED use include greater trust in the hospital than in primary care [48] or greater convenience [38] and time savings [73,74]. Previous Billings/NYU-ED classi cation algorithm [40,75] designed to monitor different groups' ambulatory care sensitive conditions [76] or safety-net role of ED use [40,77]. One Taiwanese national validation study disclosed that an increase in the availability of ambulatory care physicians or facilities that did not decrease non-emergency treatment in ED use [78].…”
Section: Discussionmentioning
confidence: 99%
“…The updated version of the algorithm includes additional categories for injury, mental health, alcohol use, and drug use. 23 Based on these classifications, Billings et al 24 compiled a set of probabilistic weights that were applied to ED discharge data using the primary discharge ICD-10 diagnosis codes to determine the percentage of ED use attributable to each category. ED visits with diagnosis codes not mapped to any of the 8 categories were assigned to the "unclassified" category.…”
Section: Identifying Preventable Acute Carementioning
confidence: 99%