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Optimizing eating disorder treatment outcomes for individuals identified via screening: An idea worth researching
Stanford Univ, CA 94305 USA; Palo Alto Univ, CA USA.
Northwestern Univ, IL 60611 USA.
Washington Univ, MO 63110 USA.
Palo Alto Univ, CA USA; Baruch Ivcher Sch Psychol, Israel.
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2019 (English)In: International Journal of Eating Disorders, ISSN 0276-3478, E-ISSN 1098-108XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

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.

Place, publisher, year, edition, pages
WILEY , 2019.
Keywords [en]
digital technologies; eating disorders; engagement; outcome; reach; screening; uptake
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:liu:diva-161163DOI: 10.1002/eat.23169ISI: 000486085600001PubMedID: 31502312OAI: oai:DiVA.org:liu-161163DiVA, id: diva2:1365738
Note

Funding Agencies|National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [F32 HD089586, K01 KD116925, R01 MH100455, T32 HL0074456, T32 HL130357]

Available from: 2019-10-25 Created: 2019-10-25 Last updated: 2019-10-25

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
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