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Record W2292992983 · doi:10.1093/alcalc/agv080.19

P-19STUDY OF INSIGHT IN SCHIZOPHRENIC PATIENTS WITH ALCOHOL ABUSE OR DEPENDENCE

2015· article· en· W2292992983 on OpenAlexaboutno aff
M.C. García Mahía, Á. Fernández Quintana

Bibliographic record

VenueAlcohol and Alcoholism · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsnot available
Fundersnot available
KeywordsAlcohol dependencePsychologyPsychiatryAlcohol abuseAlcoholSchizophrenia (object-oriented programming)Medicine

Abstract

fetched live from OpenAlex

Objectives. The aim of this study is to investigate the relationship between insight and treatment adherence and to analyze the influence of other clinical and socio-demographic factors. Methods. Subjects included in the study were diagnosed of Acohol Abuse or Dependence comorbid with Schizophrenic Disorder, following DSM-IVTR criteria and received treatment in a Mental Health Outpatient Clinic. Medical records were reviewed and a socio-demographic questionnaire was developed for this purpose (sex, age, marital status, educational level, occupational status, level of family support). Patients were evaluated over a period of 2 years. Instruments used were Scale of Unawareness of Mental Disorders (SUMD), Drug Attitude Inventory (DAI), and Calgary Depression Scale (CDSS) with a cut-off point 4/5. Results. A total of 17 patients were included in the study. Mean age 38.7 years (SD:7.4). 26% of the subjects had at least had one prior hospital admission and 72% reported having occasionally discontinued their medication. Men presented higher score in SUMD (lower global awareness of disease). Patients with poor insight have the highest drop-out rates of treatment and follow-up care, highest readmission rates and emergency department utilization, and lower scores on the DAI scale, (p <0.05).

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 score0.073
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.313
Teacher spread0.260 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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