Impact of leadership development on emotional health in healthcare managers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To examine the effects of a Leadership Development Initiative (LDI) on the emotional health and well-being among five levels of healthcare managers. BACKGROUND: Increasingly dynamic, demanding healthcare environments result in highly stressful work atmospheres. METHODS: Using quasi-experimental and mixed methods, we used regression on pre- and post-LDI survey data with 86 managers, and individual/focus group interview data for focused ethnographic analysis. RESULTS: An increasing trend was observed in self-assessed leadership practices after the LDI with a significant increase in 'inspiring a shared vision' (P<0.01). However, a non-significant decreasing trend in areas of work life and a non-significant increase in cynicism (P=0.14) was observed. Before the LDI, participants' self-assessment of their practice to 'enable others to act' was negatively related to emotional exhaustion (P<0.01). Both before and after the LDI, 'modelling the way' was significantly related to professional efficacy (P<0.01 pre; P<0.05 post). Post-LDI, 'inspiring a shared vision' was negatively (P<0.01) and 'enabling others to act' was positively (P<0.05) related to cynicism. CONCLUSION: The LDI provided opportunities for healthcare managers to connect, strengthen leadership and social support networks and manage burnout. IMPLICATIONS FOR NURSING MANAGEMENT: Transformational leadership practices may influence managers' emotional health. Senior administrative support and communicating the structure and vision of developmental initiatives may help to achieve realistic expectations.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it