The Self-Perception and Relationships Tool (S-PRT): a novel approach to the measurement of subjective health-related quality of life.
Bibliographic record
Abstract
BACKGROUND: The Self-Perception and Relationships Tool (S-PRT) is intended to be a clinically responsive and holistic assessment of patients' experience of illness and subjective Health Related Quality of Life (HRQL). METHODS: A diversity of patients were involved in two phases of this study. Patient samples included individuals involved with renal, cardiology, psychiatric, cancer, chronic pelvic pain, and sleep services. In Phase I, five patient focus groups generated 128 perceptual rating scales. These scales described important characteristics of illness-related experience within six life domains (i.e., Physical, Mental-Emotional, Interpersonal Receptiveness, Interpersonal Contribution, Transpersonal Receptiveness and Transpersonal Orientation). Item reduction was accomplished using Importance Q-sort and Importance Checklist methodologies with 150 patients across the participating services. In Phase II, a refined item pool (88 items) was administered along with measures of health status (SF-36) and spiritual beliefs (Spiritual Involvements and Beliefs Scale--SIBS) to 160 patients, of these 136 patients returned complete response sets. RESULTS: Factor analysis of S-PRT results produced a surprisingly clean five-factor solution (Eigen values> 2.0 explaining 73.5% of the pooled variance). Items with weaker or split loadings were removed leaving 36 items to form the final S-PRT rating scales; Intrapersonal Well-being (physical, mental & emotional items), Interpersonal Receptivity, Interpersonal Contribution, Transpersonal Receptivity and Transpersonal Orientation (Eigen values> 5.4 explaining 83.5% of the pooled variance). The internal consistency (Cronbach's Alpha) of these scales was very high (0.82-0.97). Good convergent correlations (0.40 to 0.67) were observed between the S-PRT scales and the Mental Health scales of the SF-36. Correlations between the S-PRT Intrapersonal Well-being scale and three of SF-36 Physical Health scales were moderate (0.30 to 0.46). The criterion-related validity of the S-PRT spiritual scales was supported by moderate convergence (0.40-0.49) with three SIBS scales. CONCLUSION: Evidence supports the validity of the S-PRT as a generally applicable measure of perceived health status and HRQL. The test-retest reliability was found to be adequate for most scales, and there is some preliminary evidence that the S-PRT is responsive to patient-reported changes in determinants of their HRQL. Clinical uses and directions for future research are discussed.
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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 | 0.034 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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".