Heart health whispering: A randomized, controlled pilot study to promote nursing student perspective-taking on carers’ health risk behaviors
Bibliographic record
Abstract
Lifestyle counseling is described as a “major breakthrough” in the control of chronic diseases. Counseling can be challenging to nurses due their lack of motivation to counsel, hesitancy to appear non-judgmental, lack of empathy, and lack of time. Nurses voice their need for more training in counseling communication skills. Our main objective was to engage in ongoing development and testing of a promising Heart Health Whispering perspective-taking intervention on nursing students’ clinical empathy, perceptual understanding, and client readiness to alter health risk behaviors. In this randomized controlled pilot study, the full intervention (perspective-taking instructions, practice, and video-feedback) and partial intervention (video-feedback only) comprised 24 and 18 nursing students, respectively. Quantitative data were collected with a 10-item pre- and post-intervention clinical empathy tool, a one-item ‘readiness to change’ health risk behavior tool plus similarity ratings on students’ empathic accuracy were calculated. Data were analyzed using Independent Samples t Tests and mixed model ANCOVA models. Students’ and actors’ evaluative responses toward the intervention phases were collected by handwritten notes, and analyzed using content analysis and constant comparison techniques. The main finding was that students in the full intervention group reported greater clinical empathy in the post versus baseline condition. Students underestimated their clinical empathy in comparison to carers’ reports in the post-condition. In both intervention groups, carers reported more readiness to change in the post-condition. Carers identified favorable and unfavorable perceptions and outcomes of approaches taken by students . Students desired immediate and direct feedback after the video-dialogue and -tagging exercise. Heart Health Whispering is a promising intervention to help educators in basic and continuing education to bolster nurse confidence in empathic conversations on health risk behaviors. This intervention incorporates commonly used strategies to teach empathic communication along with a novel video-analysis application of a perspective-taking task. Student and carer actor comments highlighted the value in opportunities for students to engage in self-evaluation and practicing the empathic process of taking the client’s perspective on health risk behaviors.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".