Native-RISE (Risk Identification for Suicide and Enhanced Care)
NCT ID: NCT06782516
Last Updated: 2025-12-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ENROLLING_BY_INVITATION
NA
1687 participants
INTERVENTIONAL
2026-02-01
2030-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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Case Managers WITH algorithm AND with provider risk notification (SI/SA/Binge/NSSI)
Case Managers who see the algorithm classification + IHS provider risk notification \& resource card distribution. These participants present with suicide ideation (SI), suicide attempt (SA), binge substance use (Binge), or non-suicidal self injury (NSSI).
System of Care - combination of algorithm and Brief Contact Intervention
Case managers see the Native-RISE algorithm classification and Clinical Providers receive a risk notification. A resource card is provided to the participant.
Case Managers withOUT algorithm AND with provider risk notification (SI/SA/Binge/NSSI)
Case Managers who do NOT see the algorithm classification + IHS provider risk notification \& resource card distribution. These participants present with suicide ideation (SI), suicide attempt (SA), binge substance use (Binge), or non-suicidal self injury (NSSI).
Active Comparator - Provider notification of risk status
Clinical Providers receive a risk notification and a resource card is provided to the participant.
Case Managers WITH algorithm AND provider risk notification (high risk history, no SI/SA/Binge/NSSI
Case Managers who see the algorithm classification + provider risk notification; participants get resource card distribution. High risk participants based on algorithm classification.
System of Care - combination of algorithm and Brief Contact Intervention
Case managers see the Native-RISE algorithm classification and Clinical Providers receive a risk notification. A resource card is provided to the participant.
Provider risk notification alone (high risk history, without SI/SA/Binge/NSSI)
Provider risk notification alone; participants get resource card distribution. High risk participants based on algorithm classification.
Active Comparator - Provider notification of risk status
Clinical Providers receive a risk notification and a resource card is provided to the participant.
Interventions
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System of Care - combination of algorithm and Brief Contact Intervention
Case managers see the Native-RISE algorithm classification and Clinical Providers receive a risk notification. A resource card is provided to the participant.
Active Comparator - Provider notification of risk status
Clinical Providers receive a risk notification and a resource card is provided to the participant.
Eligibility Criteria
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Inclusion Criteria
* Visit at least one of the three participating IHS clinics
* Identified as at risk of suicide by either an existing method or the new Native-RISE risk model algorithm
Exclusion Criteria
18 Years
75 Years
ALL
No
Sponsors
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Johns Hopkins Bloomberg School of Public Health
OTHER
Responsible Party
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Principal Investigators
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Emily Haroz, PhD
Role: PRINCIPAL_INVESTIGATOR
Johns Hopkins University
Locations
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Chinle Navajo Nation Center for Indigenous Health
Chinle, Arizona, United States
Whiteriver Center for Indigenous Health
Whiteriver, Arizona, United States
Shiprock Center for Indigenous Health
Shiprock, New Mexico, United States
Countries
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References
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Haroz EE, Rebman P, Goklish N, Garcia M, Suttle R, Maggio D, Clattenburg E, Mega J, Adams R. Performance of Machine Learning Suicide Risk Models in an American Indian Population. JAMA Netw Open. 2024 Oct 1;7(10):e2439269. doi: 10.1001/jamanetworkopen.2024.39269.
Adams R, Haroz EE, Rebman P, Suttle R, Grosvenor L, Bajaj M, Dayal RR, Maggio D, Kettering CL, Goklish N. Developing a suicide risk model for use in the Indian Health Service. Npj Ment Health Res. 2024 Oct 16;3(1):47. doi: 10.1038/s44184-024-00088-5.
Other Identifiers
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IRB00026145
Identifier Type: -
Identifier Source: org_study_id