Book Review: Fundamentals of Person-Centred Healthcare Practice
Bibliographic record
Abstract
When the right team comes together, the results are magical! This is exactly what happened when the authors of Fundamentals of Person-Centred Healthcare Practice united to write this book. Each contributing author interposes theoretical and practice expertise, all adding to the value and wisdom this work has to offer. The book sets out to guide us towards a shared understanding and a common language for person-centredness. The lens of the Person-centred Practice Framework offers an insight into its application in a number of areas of health and social care practice, while reminding us that all persons are ever changing. We are invited to remain open to change and to challenge ourselves and our beliefs as we embark on a journey into person-centred healthcare practice. As that journey begins, we are directed to explore various concepts, from what it means to be a person to the values of person-centredness, knowing self and flourishing as humans. Being person-centred requires a commitment to communicating clearly, navigating systems, appreciating contexts and engaging while being sympathetically present. The delineation of concepts in this book prepares us to explore chapters covering person-centredness in settings such as rehabilitation, long-term care, mental health and maternity services. The book is a call to action guided by approaches to learning and development that include active and reflective learning and critical thinking, alongside the strategies needed to create person-centred learning cultures.
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.
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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.022 |
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".