SBIR/STTR Research Award

Clutter-GO: Facilitating Delivery and Adherence in Evidence-Based Treatment for Hoarding Disorder via a Patient-Provider Digital Health Tool

Award identifier b0c1e74b25132ba634be472dc0bc067e16f92ba5117522e0d248b61ba6cc250eAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$386,266

Program and phase

STTR · Phase I

Award year

2024

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
VIRTUALLY BETTER INC
Proposal award date
2024-09-10
Contract end date
2025-09-09
UEI
U3YHM5TMMCZ9
Solicitation number
PA23-232
Topic code
104

Research abstract

PROJECT SUMMARY/ABSTRACT Hoarding Disorder (HD) is characterized by the acquisition of and failure to discard materials regardless of their actual value, resulting in a dysfunctional accumulation of possessions. The disorder affects 2.5% of the U.S. population daily (~6.5 million individuals). HD causes significant functional impairment, reduced quality of life, and represents a substantial public health, safety, and economic burden. The only evidence-based treatment (EBT) for HD is a specialized form of cognitive-behavioral therapy (CBT). The treatment is associated with large effect sizes on average; however, many do not respond due to limited adherence to at-home behavioral assignments. On average, patients with HD complete less than half of their assigned CBT homework. Between-session behavioral avoidance and distress, lack of in-the- moment support and accountability, and limited methods to objectively measure homework completion all contribute to low patient adherence, which in turn predicts treatment non-response. The current Phase I STTR seeks to develop and assess an asynchronous telehealth tool and digital support resource to assist in facilitating delivery of and adherence to CBT for HD. Clutter-GO™ will consist of a web-based clinician portal and patient-side mobile app designed specifically for HD treatment. The platform will allow clinicians to access expert-created EBT homework assignments that can be pushed to patients’ mobile devices. Unlike traditional pen and paper homework lists and logs, Clutter-GO™ will contain a library of step-by-step behaviorally interactive multimedia homework assignments. Thus, patients can do assignments by themselves with increased real-time support and tracking. The platform allows for just- in-time psychoeducation videos, coping skills, emotional processing, and therapeutic accountability via asynchronous connection to therapists, who can monitor objective results immediately. Importantly, a set of image and video capture tools with visual overlays make it easy to track progress over time to promote positive reinforcement. Ultimately, use of Clutter-GO™ is expected to facilitate patient adherence, treatment effectiveness, provider fidelity, and dissemination of EBT for HD. The overall goal of the project is to create a rigorously vetted and highly usable platform for Phase II testing, via four stepwise Aims. Aim 1 is to complete initial development of the product build based on input from internationally known experts in HD treatment. Aim 2 is to iteratively refine the clinician user interface (UI) via consultation and user acceptance testing (UAT) with (N = 20) licensed clinicians who treat HD. Aim 3 is to iteratively refine the patient UI via consultation and UAT with (N = 12) individuals diagnosed with HD. Finally, Aim 4 is to confirm the platform by allowing the expert consultants and licensed clinicians re-test the patient-vetted product for a final round of iterations. The primary outcome criterion is exceptional platform usability as measured by an industry-standard usability scale shown to predict ultimate product success. Positive results will be followed by a Phase II application to test the clinical efficacy of Clutter-GO™ in a large randomized controlled trial and to continue improvements via large scale UAT.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

38 SBIR/STTR records share this UEI (1998–2024). Reported award amounts total $22,159,094. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.