TY - JOUR

T1 - Optimizing eating disorder treatment outcomes for individuals identified via screening

T2 - An idea worth researching

AU - Taylor, C. Barr

AU - Graham, Andrea K.

AU - Fitzsimmons-Craft, Ellen E.

AU - Sadeh-Sharvit, Shiri

AU - Balantekin, Katherine N.

AU - Flatt, Rachael E.

AU - Goel , Neha J.

AU - Monterubio, Grace E.

AU - Topooco, Naira

AU - Karam, Anna M.

AU - Firebaugh, Marie-Laure

AU - Ruzek, Josef I.

AU - Funk, Burkhardt

AU - Oldenburg, Brian

AU - Wilfley, Denise E

AU - Jacobi, Corinna

N1 - Funding information: National Institute of Mental Health, Grant/Award Numbers: F32 HD089586, K01 KD116925, R01 MH100455, T32 HL0074456, T32 HL130357

PY - 2019/11/1

Y1 - 2019/11/1

N2 - 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.

AB - 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.

KW - Business informatics

KW - digital technologies, eating disorders

KW - digital technologies

KW - eating disorders

KW - engagement

KW - outcome

KW - reach

KW - screening

KW - uptake

U2 - 10.1002/eat.23169

DO - 10.1002/eat.23169

M3 - Journal articles

C2 - 31502312

VL - 52

SP - 1224

EP - 1228

JO - International Journal of Eating Disorders

JF - International Journal of Eating Disorders

SN - 0276-3478

IS - 11

ER -