The “5Rs of Reorganization”: A Case Report on Service Delivery Reorganization within a Pediatric Rehabilitation Organization
Bibliographic record
Abstract
AIMS: Pediatric rehabilitation centers constantly reorganize services to accommodate changes in funding, client needs, evidence-based practices, accountability requirements, theoretical models, and values. However, there are few service delivery models or descriptions of how organizations plan for change to guide organizations through this complex task. METHODS: This case report presents the "5Rs of Reorganization," a novel process for planning service delivery reorganization projects in pediatric rehabilitation centers. The 5Rs include: 1. Recognize the need for change, 2. Reallocate resources for project management, 3. Review the reality of clients, service delivery, and the community, 4. Reconstruct reality, and 5. Report results. RESULTS: The implementation and outcomes of the "5Rs of Reorganization" process are described for one pediatric rehabilitation center to illustrate how use of this process led to effective service delivery reorganization planning. The resulting multi-component customized service delivery plan reflects high levels of stakeholder involvement. CONCLUSIONS: Principles of project management can be applied to support service delivery reorganization planning within pediatric rehabilitation centers using the "5Rs of Reorganization." Strong communication throughout the planning phase is key to developing and sharing a plan for service delivery reorganization. Communication can be supported through use of the 5R 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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| 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".