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Record W4400803807 · doi:10.1177/00220426241263264

Trauma Informed Care (TIC) Interventions for Populations Experiencing Addiction and/or Homelessness: A Scoping Review of Outcomes

2024· review· en· W4400803807 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Drug Issues · 2024
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcGill UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital Notre-Dame
FundersHealth Canada
KeywordsPsychological interventionAddictionPsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Introduction: Trauma-informed care (TIC) is an expansive healthcare approach that recognizes and responds to a person’s trauma exposure. Many people experiencing a substance use disorder (SUD) and/or homelessness have trauma histories. There has not been a review of TIC intervention outcomes among these populations. Methods: A scoping review of literature (2008 to October 2023) on TIC intervention outcomes among populations experiencing SUD and/or homelessness was conducted. The search yielded 1139 texts, of which 58 met full-text extraction criteria. The final review included 32 texts that were systematically analysed. Results: TIC interventions show generally positive results for eight outcomes categories: 1) Psychological Well-being; 2) Substance Use; 3) Parenting; 4) Victimization; 5); Health; 6) Social Stability; 7) Criminal Justice; 8) and Retention/Adherence. However, these results do not consider study quality. Conclusions: TIC care approaches for populations experiencing SUD and/or homelessness have promising outcomes. Further outcome research with rigorous methodologies is needed.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.260
GPT teacher head0.578
Teacher spread0.319 · 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