ArticleJournal of community health2019
Outcomes and Lessons Learned from the Tribal Veterans Representative Program: A Model for System Engagement.
Article in Journal of community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- "This Is What I Acquired in the Military, I Want to Keep It at the VA": Healthcare Perspectives and Preferences Among Rural American Indian/Alaska Native Women Veterans.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
- Rural Native Veterans' Perceptions of Care in the Context of Navigator Program Development.Journal of racial and ethnic health disparities · 2025Article
- Tribal Perspectives on Patient Navigation for Rural Native Veterans Using Veteran Health Administration Services.Journal of community health · 2024Article
- Developing an Indigenous systems alignment framework: A call for direct funding.Health services research · 2024Article
- Recent trends in the rural-urban suicide disparity among veterans using VA health care.Journal of behavioral medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
American Indian and Alaska Native Veterans are more rural than Veterans of any other race or ethnicity and face significant barriers to accessing care. Since 2001, the Tribal Veterans Representative (TVR) Program, a partnership between the U.S. Department of Veterans Affairs (VA) and tribal nations, has trained liaisons from tribal communities to facilitate access to VA benefits and services. We delineate the TVR program model alongside supporting data. We reviewed TVR training materials and program evaluations to identify components of the program essential for increasing access to VA services and benefits. We then report a quantitative assessment of benefits attained in one tribal community. The TVR model is characterized by the exchange of two sets of knowledge and resources-'institutional' and 'community'-during a co-sponsored educational program aiming to train community liaisons about the institution. The institution leads the program's content; the community's traditions inform its process. Following the program, liaisons use support networks comprising trainers, trainees and local organizations to teach other community members to access health care and benefits. In the evaluation community, one liaison has facilitated access for hundreds of Veterans, with financial compensation exceeding $400,000 annually. The TVR program has begun to demonstrate its utility for other rural populations, though further formal evaluation is recommended. Compared with similar models to increase rural populations' access to health care and benefits, the long-term support networks from the TVR model may be most useful when the institution must build trust and engage with the target population.
Indexed as
Identifiers
31227961What OpenQuestion holds
Registered trials
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.