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Using A Harm Reduction Approach With Clients Who Have Alcohol/Drug Dependencies In A Spinal Cord Rehabilitation Program

2002· article· en· W2415562584 on OpenAlexaffabout
Jenny Young, William W. Fish, Alister Browne, Richard S. Lawrie

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of British ColumbiaGF Strong Rehabilitation CentreLangara CollegeVancouver Hospital and Health Sciences Centre
Fundersnot available
KeywordsRehabilitationHarmHarm reductionPsychologyMedicinePhysical therapyNursingSocial psychologyPublic health

Abstract

fetched live from OpenAlex

BACKGROUND: Dissatisfied with the frequently adversarial nature of relationships with clients who use alcohol or drugs while rehabilitation inpatients, and the often less than optimal outcomes for these individuals, the Spinal Cord Program at the G.F. Strong Rehabilitation Center in Vancouver, BC, decided to pilot a new approach. OBJECTIVE: The goal of the pilot project is to promote successful rehabilitation, including less conflict in rehabilitation, a completed rehabilitation program, and continued connection after discharge if needed. METHOD: A dedicated team was formed and trained to work with these clients using harm reduction principles. PARTICIPANTS: From its inception in December 2000, through May 2001, the team worked with 6 inpatients, 12% of admissions to the Spinal Cord Program during that period. RESULTS: Outcomes based on the above goals have been positive. There have been no discharges against a client's will or instances of significant conflict with the team. Several clients have returned to the center for assistance or to visit post-discharge. Only 1 client left rehabilitation prematurely.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.113
GPT teacher head0.382
Teacher spread0.270 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2002
Admission routes2
Has abstractyes

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