MétaCan
Menu
Back to cohort
Record W2183798222 · doi:10.3109/01612840.2015.1075235

Exploring Helpful Nursing Care in Pediatric Mental Health Settings: The Perceptions of Children with Suicide Risk Factors and Their Parents

2015· article· en· W2183798222 on OpenAlexaff
Marjorie Montreuil, Kat Butler, Michał Stachura, C Gros

Bibliographic record

VenueIssues in Mental Health Nursing · 2015
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMontreal Children's HospitalJewish General HospitalMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsDebriefingPsychological interventionPerspective (graphical)PerceptionQualitative researchPsychologyNursingNursing Interventions ClassificationPediatric nursingSuicide preventionMental healthMedicinePoison controlPsychiatrySocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

This qualitative descriptive study explored helpful nursing care from the perspective of children with suicide-associated risk factors, and their parents. Data were collected through participant observation followed by a debriefing session with children, and semi-structured interviews with parents. The inductive analysis revealed four themes of helpful interventions: (1) caring for the child as a special person; (2) caring for the parents; (3) managing the child's illness; and (4) creating a therapeutic environment. The study findings highlight the importance of the relational aspect of nursing care and provide important insights related to family-centered and strengths-based practice with children at increased risk for suicide later in life.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.052
GPT teacher head0.361
Teacher spread0.309 · 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 designQualitative
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

Citations23
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueIssues in Mental Health NursingSame topicChild and Adolescent Psychosocial and Emotional DevelopmentFrench-language works237,207