# Implementing and Sustaining a Transdiagnostic Sleep and Circadian Treatment to Improve Severe Mental Illness Outcomes in Community Mental Health.

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA BERKELEY · 2023 · $644,902

## Abstract

1
Abstract
The goal of this research is to contribute to knowledge on the implementation and sustainment of an
evidence-based treatment for severe mental illness (SMI) in a network of 8 community mental health
centers (CMHCs) in California. The evidence-based treatment for this study is the Transdiagnostic
Sleep and Circadian Intervention (TranS-C). This is a Hybrid Type 1 randomized controlled trial. The 8
CMHC clinic sites have been allocated by cluster randomization to Standard TranS-C (8x50min
sessions) or Adapted TranS-C (4x20min sessions). Adapted TranS-C is hypothesized to better “fit” the
CMHC context relative to Standard TranS-C. Then, within each CMHC site, patients are randomized to
immediate TranS-C or to Usual Care followed by Delayed Treatment with TranS-C (UC-DT). Patients
are assessed pre, mid and post-treatment and 6-months later (6FU). Providers are assessed after
attending a training and before and after delivering TranS-C. The study is comprised of 3 phases: an
Implementation Phase, a Train-the-Trainer (TTT) Phase and a Sustainment Phase. If the current 4-year
timeline is retained, we anticipate that we can address the original specific aims for the study, which
focused on the Implementation Phase outcomes. However, the TTT phase has been impacted more
heavily by the pandemic, due to the increased demands on community providers, which has slowed
progress. This administrative supplement is submitted to capitalize on this rare opportunity to use the
momentum that is only just building to generate high quality data on TTT by extending the study for 1-
year. This is important because (a) there is a dearth of literature on TTT and (b) research on TTT has
potential to help sustain EBTs long-term. It is anticipated that the “end-game”, with the additional year,
would be a sample of 60 providers who have been trained within the TTT network and 130 patients who
have been treated by providers who have been trained within the TTT network. This sample size will
enable more fully powered analyses on both patient- and provider-levels, offering some of the most
comprehensive research on TTT to date. Of note, furthering scientific knowledge on TTT requires
considerable “infrastructure” in the form of the Implementation Phase. Hence, the proposed
administrative supplement will preserve the contribution to knowledge on TTT, an opportunity that
would require considerable additional future investment to recreate.

## Key facts

- **NIH application ID:** 10691722
- **Project number:** 3R01MH120147-04S2
- **Recipient organization:** UNIVERSITY OF CALIFORNIA BERKELEY
- **Principal Investigator:** Allison G Harvey
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $644,902
- **Award type:** 3
- **Project period:** 2019-09-05 → 2025-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10691722

## Citation

> US National Institutes of Health, RePORTER application 10691722, Implementing and Sustaining a Transdiagnostic Sleep and Circadian Treatment to Improve Severe Mental Illness Outcomes in Community Mental Health. (3R01MH120147-04S2). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10691722. Licensed CC0.

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