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Native-RISE (Risk Identification for Suicide and Enhanced Care)

Native-RISE (Risk Identification for Suicide and Enhanced Care)

Status
Enrolling by invitation
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06782516
Enrollment
1687
Registered
2025-01-20
Start date
2024-12-01
Completion date
2028-12-31
Last updated
2026-02-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Suicide Prevention

Brief summary

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

DEVICESystem 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.

BEHAVIORALActive Comparator - Provider notification of risk status

Clinical Providers receive a risk notification and a resource card is provided to the participant.

Sponsors

Johns Hopkins Bloomberg School of Public Health
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Caregiver)

Intervention model description

Native-RISE Model is a predictive algorithm for suicide risk in Native American populations. The algorithm was developed based on analysis of over 330,000 visits and designed to identify people at risk of a suicide attempt or death within 90 days of the last visit. The evaluation of the model initial results have been published with the model having an area under the ROC (AUROC) 0.83 \[0.80-0.86\]) and performing better than existing care (AUROC 0.64 \[0.61-0.67\]).

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Rate of suicide attempts among individuals flagged at elevated risk12 monthsRate 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.

Secondary

MeasureTime frameDescription
Number of contacts with Case Managers (Reach of Brief Contact Interventions (BCI))12 monthsReach of BCI is defined as at least three or more contacts with Case Managers within the first year following identification of elevated risk.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATOREmily Haroz, PhD

Johns Hopkins University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026