{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T18:26:10Z","timestamp":1792088770468,"version":"4.4.0"},"reference-count":26,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T00:00:00Z","timestamp":1532563200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Eating Disorders"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>The most widely researched treatment for bulimia nervosa (BN) and binge\u2010eating disorder (BED) is cognitive behavioral therapy (CBT), a present\u2010focused, active, skill\u2010oriented treatment. However, despite the success of CBT, many patients fail to achieve sufficient rates of skill utilization (i.e., the frequency with which a patient practices or uses therapeutic skills) or adequate skill acquisition (i.e., the ability to successfully perform a skill learned in treatment) by the end of treatment and outcomes suffer as a result. One method for improving skill acquisition and utilization in patients with BN or BED could be the augmentation of in\u2010person treatment with just\u2010in\u2010time adaptive interventions (JITAIs), which use smartphone technology to deliver real\u2010time interventions during app\u2010identified moments of need. The current article discusses how novel JITAI systems that utilize machine learning or other predictive algorithms could be used to detect momentary risk for eating disordered behavior and provide tailored interventions to enhance outcomes. We will consider technologies that may help reduce patient burden and suggest avenues for future research on developing acceptable and effective JITAIs that can be used as an adjunct to CBT protocols.<\/jats:p><\/jats:sec>","DOI":"10.1002\/eat.22924","type":"journal-article","created":{"date-parts":[[2018,7,27]],"date-time":"2018-07-27T06:24:04Z","timestamp":1532672644000},"page":"826-830","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["Just\u2010in\u2010time adaptive interventions: A novel approach for enhancing skill utilization and acquisition in cognitive behavioral therapy for eating disorders"],"prefix":"10.1002","volume":"51","author":[{"given":"Adrienne S.","family":"Juarascio","sequence":"first","affiliation":[{"name":"Department of Psychology Drexel University  Philadelphia Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2511-199X","authenticated-orcid":false,"given":"Megan N.","family":"Parker","sequence":"additional","affiliation":[{"name":"Department of Psychology Drexel University  Philadelphia Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madeline A.","family":"Lagacey","sequence":"additional","affiliation":[{"name":"Department of Psychology Drexel University  Philadelphia Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathryn M.","family":"Godfrey","sequence":"additional","affiliation":[{"name":"Department of Psychology Drexel University  Philadelphia Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,7,26]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.addbeh.2017.11.039"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2009.07.003"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2008.08040608"},{"key":"e_1_2_7_5_1","first-page":"XX","article-title":"OnTrack: Development and feasibility of a smartphone app designed to predict and prevent dietary lapses","volume":"2018","author":"Forman E. 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