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Using factorial design to examine efficacies of technology-based augmentations for improving treatment adherence and skills utilization in a self-help CBT program for binge eating.

Award Number: R34MH130480
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2022
PERIOD OF PERFORMANCE END DATE: 07/31/2025

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Using factorial design to examine efficacies of technology-based augmentations for improving treatment adherence and skills utilization in a self-help CBT program for binge eating. - PROJECT SUMMARY Access to cognitive behavioral therapy (CBT), the first-line treatment for disorders characterized by recurrent binge eating (i.e., eating large amounts of food within a discrete-time period, characterized by a sense of loss of control) is limited. CBT for binge eating is intensive (16-20 sessions), expensive ($1,882 per patient), and requires access to clinicians with specialized training. Self-help CBTs for binge eating are accessible and cost- effective, however, outcomes are best when the self-help treatment is paired with periodic contact with a highly trained clinician. Clinicians likely improve outcomes because they are trained to utilize specific behavior change techniques for facilitating improvements in two key treatment targets including treatment adherence and skills utilization during self-help CBT program. Given the limited availability of expert clinicians, it is critical to understand how to enhance outcomes from self-help CBTs without clinician involvement. Recent technological advancements have shown the potential to closely approximate the behavior change techniques typically implemented by expert clinicians to enhance treatment adherence and skills utilization during self-help CBT without clinician involvement. In particular, technology-based intervention factors such as Advanced Digital Data Sharing with Coaches and Just-in-time adaptive interventions (JITAIs) have shown promise in emulating behavior change techniques used by an expert clinician. Advanced Digital Data Sharing systems can perform key behavioral tasks typically accomplished by expert clinician (e.g., identify areas for intervention and generate recommendations on how to intervene on target behaviors). Coaches (individuals with bachelor’s degree in health-related fields) may use the recommendations generated by this system and provide support to patients via weekly emails for improving treatment adherence and skills utilization. Thus, Advanced Digital Data Sharing system may allow coaches to function in a more skilled way without receiving extensive training in behavior change techniques. JITAIs are a smartphone intervention design that conducts real-time analysis of behavioral data related to treatment targets and determines the time of delivery and content of momentary interventions designed to improve treatment adherence and skills use. To date, no study has tested whether these technology-based intervention factors can independently and synergistically improve treatment targets and outcomes from self-help CBTs for binge eating without clinician involvement. The proposed study will use a full factorial design with 76 individuals with binge eating to identify the independent and combined synergistic efficacies of two intervention factors (i.e., Advanced Digital Data Sharing with Coaches and JITAIs) hypothesized to 1) improve treatment adherence and skills utilization, and 2) enhance treatment outcomes when combined with a self-help CBT program without clinician involvement. Results of the study will inform development of effective and highly disseminable self-help CBT program for binge eating.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = -$188,297 )
2026	2024	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	000	3	1/23/2026	NON-COMPETING CONTINUATION	-$188,297
														Subtotal = -$188,297

Issue Date FY: 2024 ( Subtotal = $227,250 )
2024	2024	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	002	3	8/17/2024	NON-COMPETING CONTINUATION	$227,250
2024	2023	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	001	2	4/26/2024	NON-COMPETING CONTINUATION	$0
2024	2023	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	000	2	3/5/2024	NON-COMPETING CONTINUATION	$0
														Subtotal = $227,250

Issue Date FY: 2023 ( Subtotal = $227,250 )
2023	2023	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	001	2	7/26/2023	NON-COMPETING CONTINUATION	$227,250
2023	2022	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	000	1	3/6/2023	NEW	$0
														Subtotal = $227,250

Issue Date FY: 2022 ( Subtotal = $227,250 )
2022	2022	DREXEL UNIVERSITY	3141 CHESTNUT ST	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Mental Health Research Grants	000	1	9/1/2022	NEW	$227,250
														Subtotal = $227,250

Grand Total All Awards = $493,453

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Using factorial design to examine efficacies of technology-based augmentations for improving treatment adherence and skills utilization in a self-help CBT program for binge eating.

Award Number: R34MH130480

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/01/2022

PERIOD OF PERFORMANCE END DATE: 07/31/2025

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