ArticleJournal of religion and health2025
Spiritual Care Practices and Competence Among Critical Care Nurses in Türkiye: A Structural Equation Modeling Approach.
Article in Journal of religion and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Spiritual care competence and its predictors among critical and emergency nurses: a cross-sectional study of spiritual intelligence and death attitudes.International journal of nursing studies advances · 2026Article
- Association Between Spiritual Care Competence and Palliative Care Quality Among Palliative Care Nurses: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Exploring the spiritual needs of patients receiving palliative care and their caregivers: a qualitative study.BMC palliative care · 2026Article
- The Influence of Spirituality in the Care of Patients with Advanced Chronic Illnesses and at the End of Life: An Integrative Review.Journal of religion and health · 2026Review
- General surgery nurses' views on preoperative spiritual care: a qualitative descriptive study.BMJ open · 2025Article
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Authors and funding
1 author.
Funding
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Abstract
This study aimed to examine the relationship between spiritual care (SC) practices and competence among critical care nurses (CCNs) in Türkiye using structural equation modeling (SEM). A total of 323 CCNs participated, and data were collected using the Nurse Information Form, Nurse Spiritual Care Therapeutics Scale (NSCTS) and Spiritual Care Competence Scale (SCCS). The mean NSCTS and SCCS total scores were 46.53 ± 9.57 and 77.31 ± 12.46 points, respectively. A significant positive correlation was found between SCCS and NSCTS scores (r = 0.712, p < 0.01). SEM analysis showed that all SCCS subdimensions significantly predicted SC practices, with professionalization and patient counseling (β = 0.393, p = 0.001) having the strongest effect, followed by attitude towards patient spirituality (β = 0.232, p = 0.026) and assessment and implementation (β = 0.171, p = 0.006). The model demonstrated good fit indices (χ
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