ReviewInternational journal for equity in health2024
Examining global Indigenous community wellness worker models: a rapid review.
Review in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundThere is a growing interest in employing community wellness worker models in Indigenous populations to address inequities in healthcare access and outcomes, concerns about shortage in health and mental health human resources, and escalating burden of chronic and complex diseases driving significant increase in health services demand and costs. A thorough review of Indigenous community wellness worker models has yet to be conducted. This rapid review sought to outline the characteristics of a community wellness worker model in Indigenous contexts across the globe, detailing factors shaping implementation challenges and success.
methodsA rapid review of the international peer-reviewed and grey literature of OVID Medline, Global Index Medicus, Google, and Google Scholar was conducted from January to June 2022 for Indigenous community wellness/mental health worker models and comparative models. Articles were screened and assessed for eligibility. From eligible articles, data pertaining to study design and sample; description of the program, service, or intervention; model development and implementation; terminology used to describe workers; training features; job roles; funding considerations; facilitators and barriers to success; key findings; outcomes measured; and models or frameworks utilized were extracted. Data were synthesized by descriptive and pattern coding.
resultsTwenty academic and eight grey literature articles were examined. Our findings resulted in four overarching and interconnected themes: (1) worker roles and responsibilities; (2) worker training, education, and experience; (3) decolonized approaches; and (4) structural supports.
conclusionCommunity wellness worker models present a promising means to begin to address the disproportionately elevated demand for mental wellness support in Indigenous communities worldwide. This model of care acts as a critical link between Indigenous communities and mainstream health and social service providers and workers fulfill distinctive roles in delivering heightened mental wellness supports to community members by leveraging strong ties to community and knowledge of Indigenous culture. They employ innovative structural solutions to bolster their efficacy and cultivate positive outcomes for service delivery and mental wellness. Barriers to the success of community wellness worker models endure, including power imbalances, lack of role clarity, lack of recognition, mental wellness needs of workers and Indigenous communities, and more.
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What 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.