Integrative literature review of evidence‐based patient‐centred care guidelines
Bibliographic record
Abstract
AIM: To summarize what facilitates patient-centred care for adult patients in acute healthcare settings from evidence-based patient-centred care guidelines. DESIGN: An integrative literature review. DATA SOURCES: The following data sources were searched between 2002-2020: Citation databases: CINAHL, Medline, Biomed Central, Academic Search Complete, Health Source: Nursing/Academic Edition and Google Scholar. Guideline databases: US National Guideline Clearinghouse, Guidelines International Network, and National Institute for Health and Clinical Excellence (NICE). Websites of guideline developers: Scottish Intercollegiate Guidelines Network, Royal College of Nurses, Registered Nurses Association of Ontario, New Zealand Guidelines Group, National Health and Medical Research Council, and Canadian Medical Association. REVIEW METHODS: Whittemore and Knafl's five-step integrative literature review: (1) identification of research problem; (2) search of the literature; (3) evaluation of data; (4) analysis of data; and (5) presentation of results. RESULTS: Following critical appraisal, nine guidelines were included for data extraction and synthesis. The following three groups of factors were found to facilitate patient-centred care: 1) Patient care practices: embracing values foundational to patient-centred care, optimal communication in all aspects of care, rendering basic nursing care practices, and family involvement; 2) Educational factors: staff and patient education; and 3) Organizational and policy factors: organizational and managerial support, organizational champions, healthy work environment, and organizational structures promoting interdisciplinary partnership. CONCLUSION: Evidence from included guidelines can be used by nurses, with the required support and buy-in from management, to promote patient-centred care. IMPACT: Patient-centred care is essential for quality care. No other literature review has been conducted in the English language to summarize evidence-based patient-centred care guidelines. Patient care practices and educational, organizational, and policy factors promote patient-centred care to improve quality of care and raise levels of awareness of patient-centred care among nursing staff and patients.
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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 | 0.057 | 0.206 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.038 | 0.030 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.005 | 0.004 |
| 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".