# Feasibility, acceptability, and preliminary effectiveness of a cognitive-behavioral suicide prevention-focused intervention tailored to adults diagnosed with schizophrenia spectrum disorders2019

> **NIH NIH R34** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $702,000

## Abstract

Suicide is among the leading causes of death for adults with schizophrenia, with risk estimates being over eight
times greater than among the general population. While research has largely focused on depression and
hopelessness, there is growing support for the role that symptoms of psychosis (e.g. hallucinations) play in
suicide risk. Further, this high suicide rate continues to be a major public health concern given the paucity of
evidence-based interventions to reduce suicidality in this population. We propose to modify and evaluate the
acceptability and preliminary effectiveness of Cognitive Behavioral Suicide Prevention for psychosis (CBSPp), a
promising intervention requiring protocol and implementation modifications to increase its utility in community
mental health (CMH). The following modifications will be pursued given feedback from clients and providers: 1)
modify and shorten treatment; 2) develop a hybrid technology-assisted provider training; and, 3) develop a
between-session client text booster. Further innovations will be informed by engagement with stakeholders in
CMH to review and gain feedback on the protocol. Accordingly, the study aims to: 1) modify CBSPp for clients
with schizophrenia spectrum and other psychotic disorders (SSPD) receiving CMH services, and 2) evaluate the
feasibility and preliminary effectiveness of modified CBSPp in a randomized trial in comparison to services-as-
usual (SAU). Aim 1 will involve: 1) the development of a hybrid technology-assisted CBSPp provider training,
text boosters; 2) in-depth qualitative interviews to evaluate CBSPp materials and delivery protocol with
stakeholders, including 15 adults with SSPD and suicidal ideation and/or attempt (SI/A) within 3 months of
screening and 10 CMH staff, providers, directors, and leaders; 3) input from an expert panel of scholars prior
to modifications for CBSPp protocol and delivery, hybrid provider training, and text booster; 4) an open pilot trial
with 8 clients and 2 providers; 5) qualitative interviews with CBSPp delivery providers (n=2) and 5 staff, leaders,
and directors in CMH to explore provider experiences and organizational impact of CBSPp implementation at
the research site (Washtenaw County Community Mental Health; WCCMH); and, 6) final modifications prior to
the Aim 2 trial. Aim 2 will involve a trial to test preliminary effectiveness and implementation of modified CBSPp
(versus services as usual; SAU) among adults with SSPD and SI/SA within 3 months of screening (n=60). A 4-
wave design will include quantitative assessments at baseline (T1), mid-test (T2), post-test (T3), and follow-up
(T4) with in-depth qualitative interviews at T4 for a random sample of adults in the CBSPp group (n=10).
Providers (n=8) will be trained to deliver CBSPp and be assessed T1-T4 to evaluate the implementation process,
including in-depth qualitative interviews at T4. We will monitor fidelity, acceptability, usability, and feasibility of
the modified CBSPp. Th...

## Key facts

- **NIH application ID:** 10038351
- **Project number:** 1R34MH123609-01
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Lindsay Ann Bornheimer
- **Activity code:** R34 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $702,000
- **Award type:** 1
- **Project period:** 2020-08-15 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10038351

## Citation

> US National Institutes of Health, RePORTER application 10038351, Feasibility, acceptability, and preliminary effectiveness of a cognitive-behavioral suicide prevention-focused intervention tailored to adults diagnosed with schizophrenia spectrum disorders2019 (1R34MH123609-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10038351. Licensed CC0.

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