San Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA 94121, United States; University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143, United States.
San Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA 94121, United States; University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143, United States.
Gen Hosp Psychiatry. 2018 Jan-Feb;50:20-25. doi: 10.1016/j.genhosppsych.2017.09.004. Epub 2017 Sep 27.
To develop a primary care eating disorder screen with greater accuracy and greater potential for generalizability, compared to existing screens.
Cross-sectional survey to assess discriminative accuracy of a new screen, Screen for Disordered Eating (SDE), compared to Eating Disorders Screen for Primary Care (EDS-PC) and SCOFF screener, using prevalence rates of Binge Eating Disorder (BED), Bulimia Nervosa (BN), Anorexia Nervosa (AN), and Any Eating Disorder (AED), as measured by the Eating Disorder Examination Questionnaire (EDE-Q).
The SDE correctly classified 87.2% (CI: 74.3%-95.2%) of BED cases, all cases of BN and AN, and 90.5% (CI: 80.4%-96.4%) of AED cases. Sensitivity estimates were higher than the SCOFF, which correctly identified 69.6% (CI: 54.2%-82.3%) of BED, 77.8% (CI: 40.0%-97.2%) of BN, 37.5% (CI: 8.52%-75.5%) of AN, and 66.1% (CI: 53%-77.7%) of AED. While the EDS-PC had slightly higher sensitivity than the SDE, the SDE had better specificity. The SDE outperformed the SCOFF in classifying true cases, the EDS-PC in classifying true non-cases, and the EDS-PC in distinguishing cases from non-cases.
The SDE is the first screen, inclusive of BED, valid for detecting eating disorders in primary care. Findings have broad implications to address eating disorder screening in primary care settings.
与现有筛查工具相比,开发一种对初级保健进食障碍具有更高准确性和更广泛适用性的筛查工具。
横断面调查,使用进食障碍检查问卷(EDE-Q)评估新的 Screen for Disordered Eating(SDE)与 Eating Disorders Screen for Primary Care(EDS-PC)和 SCOFF 筛查器的鉴别准确性,比较暴食障碍(BED)、贪食症(BN)、神经性厌食症(AN)和任何进食障碍(AED)的患病率。
SDE 正确分类了 87.2%(置信区间:74.3%-95.2%)的 BED 病例、所有 BN 和 AN 病例,以及 90.5%(置信区间:80.4%-96.4%)的 AED 病例。敏感性估计值高于 SCOFF,后者正确识别了 69.6%(置信区间:54.2%-82.3%)的 BED、77.8%(置信区间:40.0%-97.2%)的 BN、37.5%(置信区间:8.52%-75.5%)的 AN 和 66.1%(置信区间:53%-77.7%)的 AED。虽然 EDS-PC 的敏感性略高于 SDE,但 SDE 的特异性更好。SDE 在正确分类真病例方面优于 SCOFF,在正确分类真非病例方面优于 EDS-PC,在区分病例和非病例方面优于 EDS-PC。
SDE 是第一个包括 BED 的筛查工具,可用于在初级保健中检测进食障碍。研究结果对解决初级保健环境中的进食障碍筛查问题具有广泛的意义。