An examination of frequent nursing interventions and outcomes in an adolescent psychiatric inpatient unit
Bibliographic record
Abstract
Little is known about which nursing interventions used in adolescent psychiatric inpatient treatment demonstrate improvements in outcome in the 'real world' setting, despite an increase in external outcomes reporting requirements.This paper examines nursing and other multidisciplinary interventions commonly used at the Youth Inpatient Unit, Christchurch, New Zealand, in relation to improvements in outcomes as measured by the Health of the Nation Outcome Scales for Children and Adolescents, utilizing data gathered prospectively as part of an ongoing quality assurance and outcomes project. We found the majority of interventions investigated were utilized equally across diagnostic groups, although stress management and problem-solving education was used more for patients with mixed affective disorders. Further, the results contribute to growing evidence toward the value of providing medication and problem-solving education to this population. Mental health nurses working with children and adolescents should be supported to utilize and develop their unique skill set to offer targeted interventions and to examine their practice to identify the most valuable interventions for their patients within this developmental context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".