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Addressing hopelessness in people with suicidal ideation: building upon the therapeutic relationship utilizing a cognitive behavioural approach

2003· review· en· W1942903760 on OpenAlexaff
Susan E. Collins, John R. Cutcliffe

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2003
Typereview
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsPsychotherapistSuicidal ideationCognitionPsychological interventionPsychologyTherapeutic relationshipIdeationClinical psychologyPoison controlHuman factors and ergonomicsMedicinePsychiatryCognitive scienceMedical emergency

Abstract

fetched live from OpenAlex

This article reports on how the therapeutic relationship can be enhanced by utilizing a cognitive behavioural approach when dealing with hopelessness in suicidal people. A rationale is presented regarding why this topic is deemed important. Following a brief overview of the concept of hope, the theoretical and empirical literature relating to hopelessness are examined. This literature indicates that, given the inextricable link between suicide and a sense of pervasive hopelessness, it is necessary for the practitioner to understand the methods and theoretical underpinnings of hope inspiration. Two case studies, drawn from clinical practice, are described in order to elucidate the key elements/interventions (which include the therapeutic relationship and specific cognitive behavioural techniques that the nurse therapist may utilize when attempting to ameliorate the client's sense of hopelessness). These key elements/interventions are further elaborated upon. Whilst cognitive behavioural techniques are shown to be beneficial when dealing with hopelessness, it is advocated that the therapeutic relationship is a prerequisite for successful therapy.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.124
GPT teacher head0.435
Teacher spread0.310 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations50
Published2003
Admission routes1
Has abstractyes

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