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Efficacy of Cognitive Nursing Intervention for Voice Hearing

2007· article· en· W2030942406 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.

Bibliographic record

VenuePerspectives In Psychiatric Care · 2007
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsCognitionIntervention (counseling)Schizoaffective disorderSchizophrenia (object-oriented programming)Randomized controlled trialPsychiatryDistressClinical psychologyMedicinePsychologyPsychosis

Abstract

fetched live from OpenAlex

PROBLEM: Many individuals who hear negative voices are troubled by their voices even when they adhere to prescribed neuroleptic medication regimens. At the same time, recent clinical trials provide evidence that structured, cognitive intervention can reduce distress tied to refractory auditory hallucinations and other psychiatric symptoms. PURPOSE: The purpose of this randomized controlled trial was to determine whether usual care (UC), or usual care plus 12, 90-min episodes of cognitive nursing intervention (UC + CNI) led to sustained improvement in the psychiatric symptoms and self-esteem of 65 voice hearers assigned a diagnosis of schizophrenia or schizoaffective disorder. ANALYSIS AND FINDINGS: Analysis of covariance with repeated measures procedures indicate that the 44 participants exposed to UC + CNI, were significantly more likely than the 21 participants exposed to UC only, to sustain significant improvement in psychiatric symptoms and self-esteem 1 year following treatment. IMPLICATIONS: These findings provide encouragement for nurses to further develop and investigate cognitive strategies to treat psychiatric symptoms of voice hearers.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.040
GPT teacher head0.435
Teacher spread0.395 · 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