NCT06593353

Brief Summary

This study evaluates the effectiveness of a health systems strategy (the Systems Analysis and Improvement Approach - SAIA) that packages systems engineering tools (including cascade analysis, flow mapping, and continuous quality improvement) to optimize the management of opioid use disorder (MOUD) care cascade and improve linkages between jails and clinical referral sites. The investigators will

  1. 1.study the effectiveness of SAIA on MOUD care cascade quality and continuity for patients receiving care in jail and exiting to referral clinics
  2. 2.explore determinants of adoption, implementation, and sustainment of SAIA-MOUD across implementation clinics, and
  3. 3.estimate the cost and cost-effectiveness of SAIA-MOUD

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
4,165

participants targeted

Target at P75+ for not_applicable

Timeline
26mo left

Started Nov 2024

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress40%
Nov 2024Jun 2028

First Submitted

Initial submission to the registry

September 9, 2024

Completed
10 days until next milestone

First Posted

Study publicly available on registry

September 19, 2024

Completed
2 months until next milestone

Study Start

First participant enrolled

November 21, 2024

Completed
3.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 31, 2028

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2028

Last Updated

December 4, 2025

Status Verified

December 1, 2025

Enrollment Period

3.4 years

First QC Date

September 9, 2024

Last Update Submit

December 1, 2025

Conditions

Keywords

Systems Analysis and Improvement Approach (SAIA)Systems EngineeringMedications for Opioid Use DisorderContinuous Quality Improvement (CQI)JailBuprenorphineimplementation science

Outcome Measures

Primary Outcomes (1)

  • Linkage to MOUD Care Upon Release from Jail

    the proportion of individuals exiting jails in King County on MOUD who link to any MOUD clinical provider in the community within 30 days

    30 days

Secondary Outcomes (1)

  • Retention in MOUD Care after Initial Linkage

    30 days

Study Arms (1)

SAIA MOUD clinics in Jail Health Services

EXPERIMENTAL

MOUD clinics within Jail Health Services implementing the Systems Analysis and Improvement Approach (SAIA)

Other: Systems Analysis and Improvement Approach (SAIA)

Interventions

SAIA an evidence-based, multi-prong, implementation strategy to improve systems thinking amongst frontline care teams to optimize care quality and continuity. The intervention includes monthly meetings where patient care cascades, process mapping and continuous quality improvement are used to identify bottlenecks and prioritize clinic based solutions.

SAIA MOUD clinics in Jail Health Services

Eligibility Criteria

Age18 Years - 110 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Implementation Outcomes (consented)
  • Group 1:
  • clinic staff/providers at study clinics (JHS, OBOT, Pathways, Sound)
  • age 18+
  • Group 2:
  • current patients at SAIA clinic in the community (OBOT, Pathways, Sound) with jail involvement in the last 12 months
  • age 18+
  • Clinical Outcomes (de-identified data, non consented)
  • Group 3:
  • receive MOUD treatment while incarcerated in King County Jails (WA).
  • age 18+
  • on Medicaid
  • released to community

You may not qualify if:

  • Group 1 \& 2:
  • do not consent
  • Group 3:
  • not on Medicaid

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Washington

Seattle, Washington, 98104, United States

RECRUITING

Related Publications (1)

  • Gimbel S, Basu A, Callen E, Flaxman AD, Heidari O, Hood JE, Kellogg A, Kern E, Tsui JI, Turley E, Sherr K. Systems analysis and improvement to optimize opioid use disorder care quality and continuity for patients exiting jail (SAIA-MOUD). Implement Sci. 2024 Dec 18;19(1):80. doi: 10.1186/s13012-024-01409-0.

MeSH Terms

Conditions

Opioid-Related Disorders

Condition Hierarchy (Ancestors)

Narcotic-Related DisordersSubstance-Related DisordersChemically-Induced DisordersMental Disorders

Study Officials

  • Sarah Odell Gimbel-Sherr

    University of Washington

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Sarah Odell Gimbel-Sherr

CONTACT

Emily Callen

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
SINGLE GROUP
Model Details: The SAIA (an evidence-based implementation strategy) will be implemented monthly at clinics providing MOUD care. The investigators will apply SAIA at the clinics in Jail Health Services in King County, WA. Those patients who exit jail to the community on MOUD will be tracked to see if they link to any MOUD care services within 30 days. The primary outcome is linkage to MOUD care upon release at any MOUD provider in King County. The secondary outcome assesses whether the patient comes back after initially linking post jail release. SAIA will be implemented in 3 low barrier clinics and the rate of return (sustainment in care -- measured as second visit within 30 days of the first linkage visit will be compared between the three community based MOUD clinics implementing SAIA and all other community-based MOUD clinics.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor, Child, Family, and Population Health Nursing

Study Record Dates

First Submitted

September 9, 2024

First Posted

September 19, 2024

Study Start

November 21, 2024

Primary Completion (Estimated)

March 31, 2028

Study Completion (Estimated)

June 30, 2028

Last Updated

December 4, 2025

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will not share

The county level data is being sourced from the integrated data hub run by two county level agencies in King County. As a PI, I have requested access but it is not in my rights to give IPD to others, rather it is the right of those who manage the dataset.

Locations