Does the 15-Minute (or Less) Family Interview Influence Family Nursing Practice?
Bibliographic record
Abstract
A quasi-experimental, pretest/posttest study was conducted to explore nurses' perceptions of the impact of the 15-minute family interview on the pediatric hospital admission process. The intervention consisted of two in-depth teaching sessions, and hands-on coaching in the use of the 15-minute family interview. Each of the 6 nurses was interviewed twice using a semi-structured questionnaire: once before receiving the intervention and once after they had completed 6 family interviews. In addition, nurses kept field notes on their impressions of the family interviewing process. A thematic analysis of the data was conducted. Findings revealed that the nurses perceived the genogram, therapeutic questions, and commendations as having a positive impact on their ability to conduct family assessment and family interventions. Overall, nurses felt that the 15-minute family interview should be routinely incorporated into practice at the time of a child's admission.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".