Native-RISE (Risk Identification for Suicide and Enhanced Care)
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: System of Care - combination of algorithm and Brief Contact Intervention, Active Comparator - Provider notification of risk status.
- Who it may be relevant to
- Registry conditions: Suicide Prevention. Basic parameters: 18 years — 75 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
The goal of this research is to test a systems-level suicide prevention strategy, Native-RISE (Risk Identification for Suicide and Enhanced care), that combines predictive analytics and brief contact interventions (BCIs) to reduce suicide in health systems serving Native Americans (NAs). This project aims to prove the effectiveness and scalability of Native-RISE within three Indian Health Service (IHS) health care clinics (Whiteriver, Chinle and Shiprock) already implementing suicide prevention programs and serving the White Mountain Apache Tribe (WMAT) and Navajo Nation (NN).
Interventions
- Device 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. - Behavioral Active Comparator - Provider notification of risk status
Clinical Providers receive a risk notification and a resource card is provided to the participant.
Primary outcome measures
- Rate of suicide attempts among individuals flagged at elevated risk [Time frame: 12 months]
Secondary outcome measures (1)
- Number of contacts with Case Managers (Reach of Brief Contact Interventions (BCI)) [Time frame: 12 months]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Health services research
Study locations
United States · 3 centers
- Chinle Navajo Nation Center for Indigenous Health — Chinle
- Whiteriver Center for Indigenous Health — Whiteriver
- Shiprock Center for Indigenous Health — Shiprock
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. PMID 39401036
- 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. PMID 39414996
Identifiers
NCT: NCT06782516 · IRB00026145