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Record W3138289639 · doi:10.1186/s12954-021-00483-7

A study protocol for a quasi-experimental community trial evaluating the integration of indigenous healing practices and a harm reduction approach with principles of seeking safety in an indigenous residential treatment program in Northern Ontario

2021· article· en· W3138289639 on OpenAlexafffundabout
Teresa Naseba Marsh, C. Eshakakogan, Joseph K. Eibl, M. Anne Spence, Kristen A. Morin, Graham Gauthier, David C. Marsh

Bibliographic record

VenueHarm Reduction Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsHealth Sciences NorthNOSM University
FundersCanadian Institutes of Health ResearchNorthern Ontario Academic Medicine Association
KeywordsIndigenousHealth psychologyHarm reductionProtocol (science)HarmCommunity-based participatory researchCommunity practiceMedicinePublic healthPsychologyNursingAlternative medicineSociologySocial psychologyParticipatory action research

Abstract

fetched live from OpenAlex

BACKGROUND: Indigenous communities in Canada face significant challenges with intergenerational trauma, which manifests in substance use disorders. There is consensus that connecting treatment approaches to culture, land, community, and spiritual practices is a pathway to healing trauma and substance use disorders for Indigenous peoples. Indigenous residential addiction treatment programs have been established as the primary intervention to provide healing for Indigenous peoples with substance use disorders and intergenerational trauma. However, there is limited evidence demonstrating the effectiveness of these programs. In collaboration with the Benbowopka Treatment Centre, this paper describes a study protocol which aims to evaluate the effectiveness of blending Indigenous Healing Practices and Seeking Safety for the treatment of Indigenous patients with intergenerational trauma and substance use disorders. METHODS: We will conduct a pre/post Quasi Experimental Community trial, to compare historical treatment outcomes for patients following the implementation of Indigenous Healing and Seeking Safety. We will conduct quantitative and qualitative analyses to understand the differences before and after the intervention is implemented. The pre- Indigenous Healing and Seeking Safety intervention study window will span from 2013 to 2016; n = 343, and the post-Indigenous Healing and Seeking Safety intervention study window from 2018 to 2020; n > 300. All participants will be enrolled in the Benbowopka residential treatment for the first time during the study periods. All data will be anonymized at the time of data entry. Propensity matching will be undertaken for patient characteristics, including sex/gender, age, and substance use type. RESULTS AND CONCLUSIONS: The study findings could be used to inform intergenerational trauma and substance use disorders residential treatment programming for Indigenous communities across Canada. Our work will contribute to the field of community-based intergenerational trauma and substance use disorders programming by addressing objectives that consider: (a) the patient perspective, (b) the program perspective, and (c) the community perspective. The study findings may validate an innovative approach for evaluating the effectiveness of residential addiction treatment and particularly the effective and appropriate care for Indigenous patients with intergenerational trauma and substance use disorders.

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)0.078
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.991
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0780.059
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0030.004
Science and technology studies0.0100.006
Scholarly communication0.0050.005
Open science0.0060.004
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.1000.017

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 head0.189
GPT teacher head0.477
Teacher spread0.288 · 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 designNon-randomized 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

Citations11
Published2021
Admission routes3
Has abstractyes

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