The accuracy of measures in screening adults for spiritual suffering in health care settings: A systematic review
Bibliographic record
Abstract
OBJECTIVE: Guidelines for palliative and spiritual care emphasize the importance of screening patients for spiritual suffering. The aim of this review was to synthesize the research evidence of the accuracy of measures used to screen adults for spiritual suffering. METHODS: A systematic review of the literature. We searched five scientific databases to identify relevant articles. Two independent reviewers screened, extracted data, and assessed study methodological quality. RESULTS: We identified five articles that yielded information on 24 spiritual screening measures. Among all identified measures, the two-item Meaning/Joy & Self-Described Struggle has the highest sensitivity (82-87%), and the revised Rush protocol had the highest specificity (81-90%). The methodological quality of all included studies was low. SIGNIFICANCE OF RESULTS: While most of the identified spiritual screening measures are brief (comprised 1 to 12 items), few had sufficient accuracy to effectively screen patients for spiritual suffering. We advise clinicians to use their critical appraisal skills and clinical judgment when selecting and using any of the identified measures to screen for spiritual suffering.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".