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Estudio de la prevalencia de la comorbilidad entre el distrés psicológico y el abuso de drogas en usuarios del Portal Amarillo, Montevideo - Uruguay

2012· article· es· W2111857011 on OpenAlexaff
Diana Doménech, Robert B. Mann, Carol Strıke, Bruna Brands, Akwatu Khenti

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2012
Typearticle
Languagees
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsMedicineHumanitiesGynecologyPhilosophy

Abstract

fetched live from OpenAlex

La comorbilidad psiquiátrica en personas con trastorno por consumo de alcohol y otras drogas tiene alta prevalencia, impacta en la salud individual y familiar y genera mayores costos. Este estudio epidemiológico descriptivo, multicéntrico, transversal, estima la prevalencia de la comorbilidad del distrés psicológico en 134 pacientes mayores de 18 años en tratamiento en el Portal Amarillo de Montevideo - Uruguay. Describe las características sociodemográficas, consumo de drogas, funcionalidad familiar, y grado de satisfacción de la población usuaria. Para la recolección de datos se usaron los cuestionarios EULAC-CICAD, K-10 y APGAR-familiar. La prevalencia de distrés severo y muy severo fue de un 71.6%; el 90.6% refirió estar satisfecho con la atención recibida y el 48% percibió que su familia no presentaba disfunción. Por ende, es necesario contemplar la presencia de comorbilidad psiquiátrica en el abordaje de usuarios con trastorno por consumo de sustancias en Centros de tratamiento.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.374
Threshold uncertainty score0.745

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.116
GPT teacher head0.430
Teacher spread0.314 · 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 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

Citations4
Published2012
Admission routes1
Has abstractyes

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