Supporting diversity in person-centred care: The role of healthcare chaplains
Bibliographic record
Abstract
AIM: To explore healthcare chaplains' experience of providing spiritual support to individuals and families from minority religious and non-religious faiths and to identify key elements of the role. BACKGROUND: Currently, there is limited research uncovering the essential elements of healthcare chaplaincy, specifically with reference to religious and/or spiritual diversity, and as interprofessional collaborators with nurses and midwives in healthcare. RESEARCH DESIGN AND PARTICIPANTS: Using phenomenology, we interviewed eight healthcare chaplains from a variety of healthcare settings in the Republic of Ireland. Data were analysed using a seven-step framework comprising Moustakas' (1994) modification of the Van Kaam method of data analysis. ETHICAL CONSIDERATIONS: Ethical approval was granted by the university and the principles of informed consent applied. FINDINGS: Three main themes emerged: what the chaplain brings; components of ritual, minority faith or no faith; and practising chaplaincy. Subthemes included 'offering', 'awareness and insight', 'acceptance and empathy', 'skilled companionship', 'presence', 'a confidant and holder of hope' and 'a vital resource'. DISCUSSION AND CONCLUSIONS: The healthcare chaplain is a key collaborator in facilitating holistic person-centred care and in supporting healthcare professionals. Chaplaincy services are an essential but largely unrecognised and potentially cost-effective component of interprofessional team working. RELEVANCE TO CLINICAL PRACTICE: This study has illuminated key aspects of the healthcare chaplain's role as interprofessional collaborator in person-centred care, in navigating diversity and ensuring respect and dignity for the person irrespective of religious or spiritual care needs.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".