Evaluating the Impact of Provincial Implementation of Screening for Distress on Quality of Life, Symptom Reports, and Psychosocial Well-Being in Patients With Cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Although a number of accreditation agencies and professional societies recommend routine screening for distress (SFD) for patients with cancer, it has been integrated very slowly into clinical practice. OBJECTIVES: This evaluation investigated the impact of a large-scale SFD intervention on patients' quality of life, symptom reports, and psychosocial well-being. The SFD intervention involved (1) completion of the SFD tool by patients, (2) discussion between patient and provider about the concerns indicated, and (3) provision of appropriate assessments/interventions based on priority concerns. PATIENTS AND METHODS: This quality improvement work included a pre-evaluation and postevaluation of the impact of implementation on patients' well-being. Patients in cohort 1 (N=740) were surveyed before implementation, whereas patients in cohort 2 (N=534) were surveyed 10 months after the implementation at 17 clinics province-wide. As part of the implementation, providers received training on assessing and responding to patient priority concerns with the standardized tool. RESULTS: No differences were seen in total score of quality of life between the cohorts. Fewer patients in cohort 2 than in cohort 1 reported health problems, including tiredness, drowsiness, poor appetite, nausea, anxiety, and poor well-being. Similarly, significantly fewer patients in cohort 2 endorsed problems relating to emotional, practical, informational, spiritual, social, and physical aspects of well-being. CONCLUSIONS: Results showed significantly improved psychological and physical symptoms and psychosocial well-being after routine SFD was implemented, suggesting that a large-scale SFD intervention is beneficial for patients when it is integrated into existing clinical practice and community resources.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it