Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive‐behavior therapy for binge‐spectrum eating disorders: Protocol for a randomized controlled trial.
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| Title: | Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive‐behavior therapy for binge‐spectrum eating disorders: Protocol for a randomized controlled trial. |
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| Authors: | Juarascio, Adrienne S., Presseller, Emily K., Trainor, Claire, Boda, Sneha, Manasse, Stephanie M., Srivastava, Paakhi, Forman, Evan M., Zhang, Fengqing |
| Source: | International Journal of Eating Disorders. Feb2023, Vol. 56 Issue 2, p470-477. 8p. 1 Chart. |
| Subjects: | Bulimia treatment, Evaluation of human services programs, Factorial experiment designs, Digital technology, Self-control, Digital health, Ability, Training, Randomized controlled trials, Quality assurance, Health self-care, Cognitive therapy, Longitudinal method |
| Abstract: | Objective: Adjunctive mobile health (mHealth) technologies offer promise for improving treatment response to enhanced cognitive‐behavior therapy (CBT‐E) among individuals with binge‐spectrum eating disorders, but research on the key "active" components of these technologies has been very limited. The present study will use a full factorial design to (1) evaluate the optimal combination of complexity of two commonly used mHealth components (i.e., self‐monitoring and microinterventions) alongside CBT‐E and (2) test whether the optimal complexity level of these interventions is moderated by baseline self‐regulation. Secondary aims of the present study include evaluating target engagement associated with each level of these intervention components and quantifying the component interaction effects (i.e., partially additive, fully additive, or synergistic effects). Method: Two hundred and sixty‐four participants with binge‐spectrum eating disorders will be randomized to six treatment conditions determined by the combination of self‐monitoring condition (i.e., standard self‐monitoring or skills monitoring) and microinterventions condition (i.e., no microinterventions, automated microinterventions, or just‐in‐time adaptive interventions) as an augmentation to 16 sessions of CBT‐E. Treatment outcomes will be measured using the Eating Disorder Examination and compared by treatment condition using multilevel models. Results: Results will clarify the "active" components in mHealth interventions for binge eating. Discussion: The present study will provide critical insight into the efficacy of commonly used digital intervention components (i.e., skills monitoring and microinterventions) alongside CBT‐E. Furthermore, results of this study may inform personalization of digital intervention intensity based on patient profiles of self‐regulation. Public Significance: This study will examine the relative effectiveness of commonly used components of application‐based interventions as an augmentation to cognitive‐behavioral therapy for binge eating. Findings from this study will inform the development of an optimized digital intervention for individuals with binge eating. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Eating Disorders is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 161618120 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive‐behavior therapy for binge‐spectrum eating disorders: Protocol for a randomized controlled trial. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Juarascio%2C+Adrienne+S%2E%22">Juarascio, Adrienne S.</searchLink><br /><searchLink fieldCode="AR" term="%22Presseller%2C+Emily+K%2E%22">Presseller, Emily K.</searchLink><br /><searchLink fieldCode="AR" term="%22Trainor%2C+Claire%22">Trainor, Claire</searchLink><br /><searchLink fieldCode="AR" term="%22Boda%2C+Sneha%22">Boda, Sneha</searchLink><br /><searchLink fieldCode="AR" term="%22Manasse%2C+Stephanie+M%2E%22">Manasse, Stephanie M.</searchLink><br /><searchLink fieldCode="AR" term="%22Srivastava%2C+Paakhi%22">Srivastava, Paakhi</searchLink><br /><searchLink fieldCode="AR" term="%22Forman%2C+Evan+M%2E%22">Forman, Evan M.</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Fengqing%22">Zhang, Fengqing</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Eating+Disorders%22">International Journal of Eating Disorders</searchLink>. Feb2023, Vol. 56 Issue 2, p470-477. 8p. 1 Chart. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bulimia+treatment%22">Bulimia treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+of+human+services+programs%22">Evaluation of human services programs</searchLink><br /><searchLink fieldCode="DE" term="%22Factorial+experiment+designs%22">Factorial experiment designs</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Self-control%22">Self-control</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+health%22">Digital health</searchLink><br /><searchLink fieldCode="DE" term="%22Ability%22">Ability</searchLink><br /><searchLink fieldCode="DE" term="%22Training%22">Training</searchLink><br /><searchLink fieldCode="DE" term="%22Randomized+controlled+trials%22">Randomized controlled trials</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+assurance%22">Quality assurance</searchLink><br /><searchLink fieldCode="DE" term="%22Health+self-care%22">Health self-care</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+therapy%22">Cognitive therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: Adjunctive mobile health (mHealth) technologies offer promise for improving treatment response to enhanced cognitive‐behavior therapy (CBT‐E) among individuals with binge‐spectrum eating disorders, but research on the key "active" components of these technologies has been very limited. The present study will use a full factorial design to (1) evaluate the optimal combination of complexity of two commonly used mHealth components (i.e., self‐monitoring and microinterventions) alongside CBT‐E and (2) test whether the optimal complexity level of these interventions is moderated by baseline self‐regulation. Secondary aims of the present study include evaluating target engagement associated with each level of these intervention components and quantifying the component interaction effects (i.e., partially additive, fully additive, or synergistic effects). Method: Two hundred and sixty‐four participants with binge‐spectrum eating disorders will be randomized to six treatment conditions determined by the combination of self‐monitoring condition (i.e., standard self‐monitoring or skills monitoring) and microinterventions condition (i.e., no microinterventions, automated microinterventions, or just‐in‐time adaptive interventions) as an augmentation to 16 sessions of CBT‐E. Treatment outcomes will be measured using the Eating Disorder Examination and compared by treatment condition using multilevel models. Results: Results will clarify the "active" components in mHealth interventions for binge eating. Discussion: The present study will provide critical insight into the efficacy of commonly used digital intervention components (i.e., skills monitoring and microinterventions) alongside CBT‐E. Furthermore, results of this study may inform personalization of digital intervention intensity based on patient profiles of self‐regulation. Public Significance: This study will examine the relative effectiveness of commonly used components of application‐based interventions as an augmentation to cognitive‐behavioral therapy for binge eating. Findings from this study will inform the development of an optimized digital intervention for individuals with binge eating. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Eating Disorders is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=161618120 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/eat.23864 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 470 Subjects: – SubjectFull: Bulimia treatment Type: general – SubjectFull: Evaluation of human services programs Type: general – SubjectFull: Factorial experiment designs Type: general – SubjectFull: Digital technology Type: general – SubjectFull: Self-control Type: general – SubjectFull: Digital health Type: general – SubjectFull: Ability Type: general – SubjectFull: Training Type: general – SubjectFull: Randomized controlled trials Type: general – SubjectFull: Quality assurance Type: general – SubjectFull: Health self-care Type: general – SubjectFull: Cognitive therapy Type: general – SubjectFull: Longitudinal method Type: general Titles: – TitleFull: Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive‐behavior therapy for binge‐spectrum eating disorders: Protocol for a randomized controlled trial. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Juarascio, Adrienne S. – PersonEntity: Name: NameFull: Presseller, Emily K. – PersonEntity: Name: NameFull: Trainor, Claire – PersonEntity: Name: NameFull: Boda, Sneha – PersonEntity: Name: NameFull: Manasse, Stephanie M. – PersonEntity: Name: NameFull: Srivastava, Paakhi – PersonEntity: Name: NameFull: Forman, Evan M. – PersonEntity: Name: NameFull: Zhang, Fengqing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02763478 Numbering: – Type: volume Value: 56 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Eating Disorders Type: main |
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