Frequency, intensity, and correlates of spiritual pain in advanced cancer patients assessed in a supportive/palliative care clinic
Bibliographic record
Abstract
OBJECTIVE: Regular assessments of spiritual distress/spiritual pain among patients in a supportive/palliative care clinic (SCPC) are limited or unavailable. We modified the Edmonton Symptom Assessment Scale (ESAS) by adding spiritual pain (SP) to the scale (0 = best, 10 = worst) to determine the frequency, intensity, and correlates of self-reported SP (≥1/10) (pain deep in your soul/being that is not physical) among these advanced cancer patients. METHOD: We reviewed 292 consecutive consults of advanced cancer patients (ACPs) who were evaluated at our SCPC between October of 2012 and January of 2013. Symptoms were assessed using the new instrument (termed the ESAS-FS). RESULTS: The median age of patients was 61 (range = 22-92). Some 53% were male; 189 (65%) were white, 45 (15%) African American, and 34 (12%) Hispanic. Some 123 of 282 (44%) of ACPs had SP (mean (95% CI) = 4(3.5-4.4). Advanced cancer patients with SP had worse pain [mean (95% CI) = 5.3(4.8, 5.8) vs. 4.5(4.0, 5.0)] (p = 0.02); depression [4.2(3.7, 4.7) vs. 2.1(1.7, 2.6), p < 0.0001]; anxiety [4.2(3.6, 4.7) vs. 2.5(2.0, 3.0), p < 0.0001]; drowsiness [4.2(3.7, 4.7) vs. 2.8(2.3, 3.2), p < 0.0001]; well-being [5.4(4.9, 5.8) vs. 4.5(4.1, 4.9), p = 0.0136]; and financial distress (FD) [4.4(3.9, 5.0) vs. 2.2(1.8, 2.7), p < 0.0001]. Spiritual pain correlated (Spearman) with depression (r = 0.45, p < 0.0001), anxiety (r = 0.34, p < 0.0001), drowsiness (r = 0.26, p < 0.0001), and FD (r = 0.44, p < 0.0001). Multivariate analysis showed an association with FD [OR (95% Wald CI) = 1.204(1.104-1.313), p < 0.0001] and depression [1.218(1.110-1.336), p < 0.0001]. The odds that patients who had SP at baseline would also have SP at follow-up were 182% higher (OR = 2.82) than for patients who were SP-negative at baseline (p = 0.0029). SP at follow-up correlated with depression (r = 0.35, p < 0.0001), anxiety (r = 0.25, p = 0.001), well-being (r = 0.27, p = 0.0006), nausea (r = 0.29, p = 0.0002), and financial distress (r = 0.42, p < 0.0001). SIGNIFICANCE OF RESULTS: Spiritual pain, which is correlated with physical and psychological distress, was reported in more than 40% of ACPs. Employment of the ESAS-FS allows ACPs with SP to be identified and evaluated in an SCPC. More research is needed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".