Promoting patient rights in nursing care in Ghana through the Caring Space Model
Bibliographic record
Abstract
Objectives: To explore patient rights outcomes in nurse-patient clinical interactions in the Yendi Hospital and promote patients' rights in Ghana using a proposed Caring Space Model. Design: An ethnographic research design was implemented, and purposive sampling was used to recruit participants. Data were gathered across nine inpatient units through in-depth individual interviews (n = 39), ethnographic participant observations (over 400 hours), and a focus group discussion from December 2021 to April 2022. A reflexive thematic analysis was conducted to explore participants' knowledge, experiences, and barriers to upholding patient rights in clinical interactions. Setting: The study was conducted in the Yendi Municipal Hospital. Participants: Included Nurses (n=11), patients (n=21), and caregivers (n=11) who were 18 years of age or older and provided voluntary consent. Additionally, nurses must have at least three years of experience in a hospital setting. Results: failed to educate patients and caregivers because they feared that doing so would cause undue stress. Poor patient rights outcomes were rooted in human and material resource constraints, affecting nurse-patient and nurse-nurse manager relationships. Patient rights education, transformative nursing leadership practices, and effective communication during clinical interactions can enhance patient rights and safety. Conclusion: To promote patient-centred care, a model of the Caring Space has been developed to advance ethical nursing and caring practices that elevate patient rights in patient-provider clinical interactions. Funding: .
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How this classification was reachedexpand
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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.017 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".