Evidence map›Paper›PMID 41223410›Full record

ArticleJMIR research protocols2025

Culturally Tailored Tele-Mental Health Care Linkage for Indigenous Populations: Protocol for a Mixed Methods Pilot Study.

Ariel M S Richer, Ariel L Roddy, Sutton King, Austin Serio

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ariel M S Richer *College of Social Work, The University of Utah, Salt Lake City, UT, United States.ORCID 0000-0003-4258-2275
Ariel L Roddy *Department of Criminology and Criminal Justice, Northern Arizona University, Flagstaff, AZ, United States.ORCID 0000-0001-8784-5433
Sutton KingShockTalk, New York City, NY, United States.ORCID 0009-0009-7384-876X
Austin SerioShockTalk, New York City, NY, United States.ORCID 0009-0003-6256-2279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrban Indigenous populations face disproportionate mental health challenges, including high rates of posttraumatic stress disorder, depression, and substance use disorders, yet they have limited access to health services, especially culturally relevant care. The mechanism for providing care to Indigenous people in the United States, the Indian Health Service, is significantly underfunded and only accessible to certain Indigenous people. With more than 70% of Indigenous individuals in the United States living in urban settings, there is a growing need for innovative health care solutions. A community-based, Indigenous-led health and mental health-focused nonprofit in the northeast United States developed ShockTalk, a tele-mental health linkage-to-care app tailored specifically for Indigenous communities, to fill this gap.

objectiveThis study aims to assess (1) the feasibility, including accessibility, experience, and value, of ShockTalk for practitioners and clients interested in providing or receiving culturally responsive mental health treatment, and (2) changes in client attitudes related to tele-mental health treatment value and trust in ShockTalk technology.

methodsThis study outlines the development and pilot study of ShockTalk. The conceptual framework is based on the behavioral model of health care use. ShockTalk uses artificial intelligence to connect clients with Indigenous or culturally aligned therapists and facilitates access to care via Facebook Messenger. Using a prewaitlist or postwaitlist design, 5 client participants will be admitted to the study at first, and 5 additional participants at 3 months. Data collection includes presurveys and postsurveys on client attitudes toward mental health treatment and trust in the ShockTalk platform at baseline and a 3-month follow-up, followed by in-depth qualitative interviews at 3 months. A preliminary economic evaluation will track direct costs (ie, therapist time, platform fees, and administrative expenses) and compare relative costs across treatment doses. Analyses will assess the feasibility of data collection and inform a future full-scale trial.

resultsThis study was funded in April 2022. Data collection occurred between May 2022 and October 2024. In total, 4 client participants and 2 therapist participants were enrolled. Data analysis is complete and results are expected to be published in February 2026.

conclusionsThis pilot study will offer insights into optimizing technology-based, culturally relevant mental health care. By examining varying levels of engagement and associated costs, this research seeks to identify the most effective and cost-efficient strategies for improving mental health outcomes in urban Indigenous populations in the United States. ShockTalk has the potential to shape future health care innovations in this field. Findings are expected to contribute significantly to Indigenous mental health care by offering insights into sustainable, accessible, and culturally appropriate telehealth interventions, guiding future policy and practice. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67757.

Indexed as

Culturally Competent CareHealth Services, IndigenousMental Health ServicesTelemedicineHealth Services AccessibilityHumansMobile ApplicationsPilot ProjectsUnited StatesAIanxietyartificial intelligenceconceptual posttraumatic frameworkculturally tailoreddepressionIndigenouslinkage-to-caremental healthNative Americanposttraumatic stress disorderPTSDpublic healthqualitative interviewssocial mediasubstance use disordertelehealthtele–mental health

Identifiers

PMID41223410
PMCPMC12658390

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.