Native-RISE (Risk Identification for Suicide and Enhanced Care)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Emily Haroz, PhD
- Phone Number: 410-449-0051
- Email: eharoz1@jhu.edu
Study Locations
-
-
Arizona
-
Chinle, Arizona, United States, 86503
- Chinle Navajo Nation Center for Indigenous Health
-
Whiteriver, Arizona, United States, 85941
- Whiteriver Center for Indigenous Health
-
-
New Mexico
-
Shiprock, New Mexico, United States, 87420
- Shiprock Center for Indigenous Health
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adults aged 18-75
- 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:
- None
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: 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).
|
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: 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).
|
Clinical Providers receive a risk notification and a resource card is provided to the participant.
|
|
Experimental: 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.
|
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 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.
|
Clinical Providers receive a risk notification and a resource card is provided to the participant.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Rate of suicide attempts among individuals flagged at elevated risk
Time Frame: 12 months
|
Rate of suicide attempts among individuals flagged at elevated risk is tracked through International Classification of Diseases (ICD) codes and chief complaints as recorded in the participating health system.
|
12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of contacts with Case Managers (Reach of Brief Contact Interventions (BCI))
Time Frame: 12 months
|
Reach of BCI is defined as at least three or more contacts with Case Managers within the first year following identification of elevated risk.
|
12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Emily Haroz, PhD, Johns Hopkins University
Publications and helpful links
General Publications
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- IRB00026145
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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