Eating disorder risk identification through embedded electronic medical record prompting

Abstract

Objective: 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. Design: 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%. Participants: 111 Female-identified patients, ages 18–37. Methods: 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. Results: Findings showed improved risk identification compared with previous year’s symptom-only identification (p = .0047). Conclusion: The SCOFF tool, combined with EMR prompting, can improve eating disorder risk detection.

Keywords:

• Clinical medicine
• eating disorders
• screening

Conflict of interest disclosure

The authors have no conflicts of interest to report. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of United States and received approval from the Institutional Review Boards of both Carnegie Mellon University and Edinboro University of Pennsylvania.