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Record W4415206168 · doi:10.1186/s12889-025-24710-z

A protocol for a randomized controlled comparative effectiveness trial of two brief interventions focused on social and cultural connectedness to reduce risk for suicide and substance misuse in young Alaska Native people

2025· article· en· W4415206168 on OpenAlexaboutno aff
Stacy Rasmus, Elizabeth J. D’Amico, James Allen, Cynthia Nation, Simeon John, Victor Joseph, Anthony Rodriguez, Gabriela Alvarado, Allyson D. Gittens, Alina I. Palimaru, Ryan Brown, David P. Kennedy, Michael J. Woodward, Jennifer D. Parker, Keisha McDonald

Bibliographic record

VenueBMC Public Health · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
FundersPatient-Centered Outcomes Research Institute
KeywordsBiostatisticsPsychological interventionSuicide preventionPoison controlRandomized controlled trialProtocol (science)Public healthSocial connectednessBrief intervention

Abstract

fetched live from OpenAlex

BACKGROUND: Suicide among young people in Alaska Native (AN) communities was nearly unheard of through the establishment of statehood in 1959, but from 1960-1995, the suicide rate increased by approximately 500% during this period of rapid, imposed social transition. These disruptions increased conditions associated with suicide risk (e.g., substance use disorders, cultural disconnection), and challenged the community-level social safety net of youth protective factors. The purpose of this paper is to outline development and evaluation methodology for a comparative effectiveness trial of two virtual, culturally grounded, brief interventions to address suicide prevention among AN young people. The proposed study addresses significant gaps in culturally appropriate evidence-based programming to address suicide prevention among AN young people by comparing effectiveness of these two interventions. Findings from this study have potential to expand the range of accessible, critically important services to this population. METHODS: Our interventions will be targeted toward AN young people ages 14-24 who present with suicide attempt, ideation, or associated risk behaviors, including alcohol-related injury in the Yukon-Kuskokwim region or the Interior of Alaska. In this randomized controlled comparative effectiveness trial, 14-24-year-old AN individuals will receive either BeWeL (Because We Love You) which will comprise a 45-min virtual wisdom talk addressing family strengths and increasing protective factors (n = 185), or BeWeL + MISN (plus motivational interviewing about social networks), which will include an additional 15 min focused on discussion of the individual's social networks (n = 185). Both interventions will have two follow-up visits at 2 and 6 weeks. We will evaluate changes in both intervention groups from the baseline survey at 3, 6, and 12 months on primary outcomes of suicide-intent risk, depression, anxiety, frequency of alcohol use, and alcohol consequences and compare effectiveness between the two interventions. In our secondary aim, we will evaluate changes in both groups from the baseline survey at 3, 6, and 12 months on individual and community protective factors, social networks, and awareness of connectedness and compare effectiveness between the two interventions. DISCUSSION: This project has the potential to expand the range and effectiveness of suicide prevention services for AN young people and will help meet the need in Alaska to link clinical behavioral health services to AN community-based networks, and to engage local cultural resources in aftercare for individuals at risk for suicide. Findings have potential to provide practical information to advance the field of suicide prevention and enhance protective factors and resiliency among this population. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05360888; Registered December 22, 2022. https://clinicaltrials.gov/study/NCT05360888 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.072
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.085
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0720.063
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0040.004
Science and technology studies0.0060.006
Scholarly communication0.0050.005
Open science0.0040.003
Research integrity0.0100.013
Insufficient payload (model declined to judge)0.0850.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.155
GPT teacher head0.492
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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