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Record W2319254263 · doi:10.1097/nmd.0000000000000244

What Do Psychiatric Patients Believe Regarding Where Control Over Their Illness Lies?

2015· article· en· W2319254263 on OpenAlexaff
Carlos De las Cuevas, Wenceslao Peñate, Moisés Betancort, Casimiro Cabrera

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsQueen's University
Fundersnot available
KeywordsLocus of controlPsychiatryClinical psychologyPsychologyScale (ratio)Illness behaviorPerceived controlMedicinePsychotherapistSocial psychology

Abstract

fetched live from OpenAlex

Patients' perceived control constructs are important factors moderating health-related behaviors. We established the psychometric properties of the Spanish version of the Form C Multidimensional Health Locus of Control Scale (C-MHLC) and assessed the usefulness of these measures in the clinical setting. A cross-sectional survey querying about patients' health locus of control (HLOC) beliefs was offered to 607 psychiatric outpatients, of whom 507 accepted. The C-MHLC scale and the General Perceived Self-Efficacy Scale were completed. The psychiatric patients believe that their psychiatrist plays a crucial role in improving their state of health. The men scored higher than the women in internal dimension; the women scored higher in other people external dimension. Age, treatment time, and number of psychoactive drugs used showed significant differences in HLOC dimensions. Self-efficacy correlated positively with internal dimension and negatively with external dimensions. The results showed the validity of the four-factor structure of the Spanish version of the C-MHLC.

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 score0.135
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.023
GPT teacher head0.361
Teacher spread0.337 · 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

Citations25
Published2015
Admission routes1
Has abstractyes

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