Literature DB >> 30603927

Developing more efficient, effective, and disseminable treatments for eating disorders: an overview of the multiphase optimization strategy.

Stephanie M Manasse1, Kelsey E Clark2, Adrienne S Juarascio2, Evan M Forman2.   

Abstract

The present manuscript describes the multiphase optimization strategy (MOST) and its potential applications to treatments for eating disorders (EDs). The manuscript describes the three phases of MOST, discusses a hypothetical case example of how MOST could be applied to developing a disseminable ED treatment, and reviews the pros and cons of the MOST approach. Outcomes from treatments for EDs leave room for improvement. However, traditional methods of treatment development and evaluation (i.e., the treatment package approach) make it challenging to determine how best to improve ED treatments. For example, testing full treatment packages in open trials and RCTs without systematic testing of each component is inefficient (as it is unknown which components are effective), and often does not provide concrete future directions for optimization of the treatment. Much stands to be gained by optimizing treatments in the early stages before testing them in open trials or RCTs. MOST is an alternative, engineering-inspired research framework that is well-suited to address the issues of inefficiency associated with the treatment package approach. MOST entails identifying the most promising treatment components for inclusion in interventions, then eliminating or deemphasizing less efficacious/inert components. This strategy results in a treatment comprised of only effective components that can then be tested via RCT. Though the MOST approach has limitations, it has the potential to greatly benefit ED treatment research and is worthy of application in the field.

Entities:  

Keywords:  Eating disorders; Experimental design; Factorial design; Treatment development; Treatment efficacy; Treatment evaluation

Year:  2019        PMID: 30603927      PMCID: PMC6606403          DOI: 10.1007/s40519-018-0632-9

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


  41 in total

Review 1.  Mediators and moderators of treatment effects in randomized clinical trials.

Authors:  Helena Chmura Kraemer; G Terence Wilson; Christopher G Fairburn; W Stewart Agras
Journal:  Arch Gen Psychiatry       Date:  2002-10

2.  Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.

Authors:  Thomas Insel; Bruce Cuthbert; Marjorie Garvey; Robert Heinssen; Daniel S Pine; Kevin Quinn; Charles Sanislow; Philip Wang
Journal:  Am J Psychiatry       Date:  2010-07       Impact factor: 18.112

3.  Identifying and selecting the common elements of evidence based interventions: a distillation and matching model.

Authors:  Bruce F Chorpita; Eric L Daleiden; John R Weisz
Journal:  Ment Health Serv Res       Date:  2005-03

Review 4.  The efficacy of cognitive-behavioral therapy for eating disorders: A systematic review and meta-analysis.

Authors:  Jake Linardon; Tracey D Wade; Xochitl de la Piedad Garcia; Leah Brennan
Journal:  J Consult Clin Psychol       Date:  2017-11

5.  Nonspecific predictors of weight gain in the early stages of outpatient cognitive behavioral therapy for adults with anorexia nervosa: Replication and extension.

Authors:  Olivia Kyriacou Marcoulides; Glenn Waller
Journal:  Int J Eat Disord       Date:  2012-03-16       Impact factor: 4.861

Review 6.  The role of emotional abuse in the eating disorders: implications for treatment.

Authors:  Glenn Waller; Emma Corstorphine; Victoria Mountford
Journal:  Eat Disord       Date:  2007 Jul-Sep       Impact factor: 3.222

7.  Reciprocal influence of alliance to the group and outcome in day treatment for eating disorders.

Authors:  Giorgio A Tasca; Amy M Lampard
Journal:  J Couns Psychol       Date:  2012-09-10

8.  A randomized controlled comparison of integrative cognitive-affective therapy (ICAT) and enhanced cognitive-behavioral therapy (CBT-E) for bulimia nervosa.

Authors:  S A Wonderlich; C B Peterson; R D Crosby; T L Smith; M H Klein; J E Mitchell; S J Crow
Journal:  Psychol Med       Date:  2013-05-23       Impact factor: 7.723

9.  Predicting the outcome of eating disorders using structural equation modeling.

Authors:  Manfred M Fichter; Norbert Quadflieg; Jürgen Rehm
Journal:  Int J Eat Disord       Date:  2003-11       Impact factor: 4.861

Review 10.  Psychological treatment of eating disorders.

Authors:  G Terence Wilson; Carlos M Grilo; Kelly M Vitousek
Journal:  Am Psychol       Date:  2007-04
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  1 in total

1.  A closer look at homework compliance in behavior therapy for bulimia nervosa: does homework compliance in between-session period prospectively predict session-by-session change in bulimia symptoms?

Authors:  Paakhi Srivastava; Megan N Parker; Emily K Presseller; Olivia B Wons; Kelsey E Clark; Adrienne S Juarascio
Journal:  Eat Disord       Date:  2021-12-10       Impact factor: 3.663

  1 in total

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