Building Resilience and Organizational Readiness During Healthcare Facility Redevelopment Transitions
Bibliographic record
Abstract
OBJECTIVE: Hospital redevelopment constitutes a revolutionary change that can face strong resistance from employees. Few studies have examined how employee readiness for change relates to adjustment outcomes typically captured in post-occupancy evaluation (POE). The relationship between organizational readiness and employee adjustment is examined in the context of a POE conducted during a hospital redevelopment. BACKGROUND: Our study focuses on the redevelopment of a complex continuing care and rehabilitation hospital that underwent complete physical redevelopment and major shifts in operational and organizational processes. METHODS: Using a pretest-posttest quasi-experimental research design, staff organizational readiness was assessed using surveys at four time periods: 6 months prior to the move (n = 125), 2 months prior to the move (n = 84), 3 months after the move (n = 187), and 6 months after the move (n = 194). Measures included organizational readiness, workplace satisfaction, psychological factors (well-being and optimism), and sociodemographic information. RESULTS: Findings suggest readiness changes from pre- to post-move, with notable drops just prior (2 months) and just post (3 months) hospital move. Employees demonstrated significant increases in workplace satisfaction and interprofessional relationships from 6 months prior to the move to 6 months after. Results suggest that higher readiness is related to improved employee adjustment. CONCLUSIONS: A supportive change environment was found to encourage positive employee outcomes in the face of revolutionary change. It is recommended that change management activities be tailored not only to employee need but also to the timing of the change process.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".