Spiritual distress: symptoms, quality of life and hospital utilisation in home-based palliative care
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to use a spiritual screening question to quantify the prevalence of spiritual distress (SD) in a large cohort of seriously ill patients at admission to home-based palliative care (HBPC) and to examine the associations between SD with symptom burden, quality of life and hospital-based utilisation up to 6 months after admission to HBPC. METHODS: Data for this cohort study (n=658) were drawn from a pragmatic comparative-effectiveness trial testing two models of HBPC. At admission to HBPC, SD was measured using a global question (0-10-point scale: none=0; mild=1-4; moderate-to-severe=5+); symptoms and quality of life were measured with the Edmonton Symptom Assessment Scale (ESAS) and PROMIS-10. Hospital utilisation was captured using electronic records and claims. Median regression and proportional hazard competing risk models assessed the association between SD with symptoms and quality of life, and hospital utilisation, respectively. RESULTS: Nearly half of the patients/proxies reported some level of SD. Increasing SD was significantly associated with higher symptom burden (increase of 7-14 points on ESAS) and worse mental well-being (decrease of 2.7 to 4.6 points on PROMIS-10-mental) in adjusted models. Compared with patients/proxies who reported no SD, those with at least some level of SD were not at increased risk for hospital-based utilisation over a median follow-up period of 2 months. CONCLUSION: While SD is cross-sectionally associated with worse symptoms and mental well-being, it did not predict downstream hospital-based utilisation. Our results highlight the importance of assessing for and managing SD in patients with serious illness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".