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Eating disorder risk identification through embedded electronic medical record prompting.

Author
Abstract
:

To evaluate whether the use of electronic medical record (EMR) to prompt universal eating disorder screening with a short questionnaire improved risk detection in a college gynecology clinic. Data obtained via a convenience sample of patients accessing a university health clinic. Clinicians were prompted with the SCOFF tool, a 5-item questionnaire for eating disorder risk with sensitivity of 87.5% and specificity of 95%. 111 Female-identified patients, ages 18-37. Clinicians assessed eating disorder symptoms via EMR prompting. Comparison of risk identification from the previous year, in which patients were not universally screened, was conducted via EMR review. Findings showed improved risk identification compared with previous year's symptom-only identification ( .0047). The SCOFF tool, combined with EMR prompting, can improve eating disorder risk detection.

Year of Publication
:
2020
Journal
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Journal of American college health : J of ACH
Number of Pages
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1-7
Date Published
:
2020
ISSN Number
:
0744-8481
URL
:
https://www.tandfonline.com/doi/full/10.1080/07448481.2020.1810051
DOI
:
10.1080/07448481.2020.1810051
Short Title
:
J Am Coll Health
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