Spiritual Intelligence and Spiritual Care in Nursing Practice: A Bibliometric Review
Bibliographic record
Abstract
Spiritual intelligence (SI) has recently gained traction in various fields, including nursing. Given the increasing emphasis on patient-centred care and the holistic well-being of patients and nurses, SI is particularly relevant in nursing practice. A bibliometric analysis of recent publications (2014-2024) in the field helps synthesise and evaluate the existing research on SI in the general field of nursing, identify literature gaps, suggest future research directions and raise awareness of the importance of SI in nursing practice. The present study reports bibliometric data (n = 461) from the Scopus database on SI, spiritual quotient and spiritual care in nursing and health care. The data are analysed using MS Excel and VOSviewer software. The publications' trend analysis revealed a significant increase in SI-related publications since 2015. The study presents top-cited articles. Journal of Religion and Health was found to be a prominent journal with the maximum number of publications, and Sage was found to be the top publisher of journals with articles on SI. Network visualisation reveals central figures such as Wilfred McSherry, Trove Giske, Elizabeth Johnston Taylor, Fiona Timmins, Silvia Caldeira and Linda Ross as key researchers in the field. The United States and Iran have the most substantial connections of authors publishing on SI. This study reveals an increasing interest in SI and care within nursing research, confirming its growing significance in the field. By reporting areas where research on SI in nursing remains underdeveloped, the study paves the way for the development of new or updated curricula in nursing programs. The study can guide faculty development initiatives by highlighting the importance of SI and providing resources for educators to incorporate these concepts into their teaching. This study presents specific research questions to address these knowledge gaps. Future studies which can address these questions will enrich nursing education and practice, leading to improved patient outcomes and enhanced nurse well-being using the full potential of SI in nursing practice.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.015 | 0.027 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".