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Optimizing eating disorder treatment outcomes for individuals identified via screening: An idea worth researching

Taylor, Craig Barr (author)
Stanford Univ, CA 94305 USA; Palo Alto Univ, CA USA
Graham, Andrea K. (author)
Northwestern Univ, IL 60611 USA
Fitzsimmons-Craft, Ellen E. (author)
Washington Univ, MO 63110 USA
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Sadeh-Sharvit, Shiri (author)
Palo Alto Univ, CA USA; Baruch Ivcher Sch Psychol, Israel
Balantekin, Katherine N. (author)
Univ Buffalo, NY USA
Flatt, Rachael E. (author)
Palo Alto Univ, CA USA; Univ N Carolina, NC 27515 USA
Goel, Neha J. (author)
Virginia Commonwealth Univ, VA 23284 USA; Virginia Commonwealth Univ, VA USA
Monterubio, Grace E. (author)
Washington Univ, MO 63110 USA
Topooco, Naira (author)
Linköpings universitet,Psykologi,Filosofiska fakulteten,Palo Alto Univ, CA USA
Karam, Anna M. (author)
Washington Univ, MO 63110 USA
Firebaugh, Marie-Laure (author)
Washington Univ, MO 63110 USA
Ruzek, Josef I. (author)
Stanford Univ, CA 94305 USA; Palo Alto Univ, CA USA
Funk, Burkhardt (author)
Leuphana Univ, Germany
Oldenburg, Brian (author)
Univ Melbourne, Australia
Wilfley, Denise E. (author)
Washington Univ, MO 63110 USA
Jacobi, Corinna (author)
Tech Univ, Germany
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 (creator_code:org_t)
2019-09-10
2019
English.
In: International Journal of Eating Disorders. - : WILEY. - 0276-3478 .- 1098-108X. ; 52:11, s. 1224-1228
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • In recent years, online screens have been commonly used to identify individuals who may have eating disorders (EDs), many of whom may be interested in treatment. We describe a new empirical approach that takes advantage of current evidence on empirically supported, effective treatments, while at the same time, uses modern statistical frameworks and experimental designs, data-driven science, and user-centered design methods to study ways to expand the reach of programs, enhance our understanding of what works for whom, and improve outcomes, overall and in subpopulations. The research would focus on individuals with EDs identified through screening and would use continuously monitored data, and interactions of interventions/approaches to optimize reach, uptake, engagement, and outcome. Outcome would be assessed at the population, rather than individual level. The idea worth researching is to determine if an optimization outcome model produces significantly higher rates of clinical improvement at a population level than do current approaches, in which traditional interventions are only offered to the few people who are interested in and able to access them.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

Keyword

digital technologies; eating disorders; engagement; outcome; reach; screening; uptake

Publication and Content Type

ref (subject category)
art (subject category)

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