# Adapting and Implementing a Chronic Disease Self-Management Program for Primary Care Patients with Opioid Use Disorder and Serious Mental Illness

> **NIH NIH K01** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2024 · $186,993

## Abstract

This K01 award application is for Dr. Elizabeth Siantz, a PhD-trained social worker whose overarching
career goal is to become an independent clinical investigator who uses implementation science to promote the
adoption and integration of evidence-based Chronic Disease Self-Management programs for persons with
chronic disease, primarily opioid use disorder (OUD) and serious mental illness (SMI). This K01 will support
four key areas of career development: 1) intervention adaptation as it relates to the mental health and primary
care needs of persons with OUD; 2) training in clinical trial design and management in real-world settings; 3)
advanced skills for qualitatively evaluating intervention implementation; and 4) strengthening research
leadership with a focus on gender equity and diversity in science. Dr. Siantz has assembled an interdisciplinary
mentoring team comprised of Adam Gordon, MD (Primary Mentor), who is an expert dissemination and
implementation (D&I) researcher focused on improving quality of care to vulnerable patient populations with
OUD; and Leopoldo Cabassa, PhD, MSW (co-mentor), an expert mixed-methods D&I researcher focused on
promoting the physical health of persons with SMI. Additional advisors include: Gerald Cochran, PhD, MSW, a
clinical trialist with OUD expertise; Lawrence Palinkas, PhD, an expert in mixed-method designs for D&I
research; Angela Presson, PhD, an expert in clinical trials statistical analyses; and Angela Fagerlin, PhD, an
expert in patient decision support interventions and in gender equity and diversity in research leadership.
 People with OUD have a high co-occurrence of serious mental illness (SMI) and other chronic
diseases, and are often challenged by their clinical symptoms and social vulnerabilities. While primary care
settings frequently treat patients with OUD and SMI, primary care providers have few tools to support this
population in self-managing these complex health conditions. Chronic Disease Self-Management programs
(CDSMPs) can improve disease management skills and behaviors, but have not been adapted for primary care
patients with OUD and SMI. Un-adapted versions might lack relevance to this population and setting. Dr.
Siantz will address this implementation gap. This research will support a future hybrid-effectiveness study to
test the adapted CDSMP for primary care patients with OUD and SMI. This study’s Specific Aims include: 1)
Adapt the CDSMP for adults with OUD and SMI for implementation in a primary care setting using the
Collaborative Intervention Planning Framework; 2) Test the feasibility, acceptability, and initial impact of the
adapted CDSMP for persons with SMI and OUD in a primary care setting; and 3) Evaluate implementation
process and context of the adapted CDSMP using Rapid Assessment Method Informed Clinical Ethnography.
This proposed research is significant because it will develop a health education resource for a population at
high risk for early mortality. The propose...

## Key facts

- **NIH application ID:** 10932941
- **Project number:** 5K01DA059641-02
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** Elizabeth Siantz
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $186,993
- **Award type:** 5
- **Project period:** 2023-09-30 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10932941

## Citation

> US National Institutes of Health, RePORTER application 10932941, Adapting and Implementing a Chronic Disease Self-Management Program for Primary Care Patients with Opioid Use Disorder and Serious Mental Illness (5K01DA059641-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10932941. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*