The Prostate Cancer Supportive Care Exercise Clinic: Process Evaluation And Changes In Physical Function
Bibliographic record
Abstract
Treatment for prostate cancer (PC) has several adverse side effects. Evidence has shown exercise can mitigate some of these; however, many men with PC do not currently meet recommended exercise guidelines. The PC Supportive Care Program Exercise Clinic (PCSC-EC) is a multicenter exercise counseling clinic designed to assist with behavior change and increase exercise levels of men with PC through individual exercise counseling sessions. PURPOSE: To evaluate the process and effect of the PCSC-EC on physical function (PF). METHODS: A single-group program evaluation design used chart reviews of enrolled participants from June 2018 to May 2022. PCSC-EC program includes one education session and five one-on-one counseling sessions at baseline, 1 -, 3 -, 6- and 12- months. Process evaluation components using a priori criteria targets included: 1) attendance (> 60% at each time point (TP)), 2) session timing (> 75% occurred at planned TP), and 3) attrition (<30% at all TP). Attendance was calculated as the percentage of total visits attended out of the total visits booked at each TP. Attrition was calculated as the number lost to follow-up at each TP out of the total number of participants at each TP. PF was assessed by the Short Physical Performance Battery chair test and scored 0-4 (worst to optimal). Change in PF from 0- to 3- and 6- months were calculated with paired t-tests. RESULTS: A total of 577 men enrolled in the PCSC-EC. Attendance (>60%) of each clinic visit was: education = 82%, baseline = 92%, 3 months = 90%, 6 months = 89%, and 12 months = 89%. Sessions that were attended on time (>75%) by TP were:1 month = 86%, 3 months = 78%, 6 months = 68%, and 12 months = 74%. Attrition (<30%) of each TP was education = 23%, baseline = 12%, 1 months = 18%, 3 months = 25%, and 6 months = 21%. There was a significant increase in PF levels from baseline to 3 months (mean = -0.203, SD = 1.22, 95% CI: -0.356, -0.051, p = 0.009), and baseline to 6 months (mean = - 0.272, SD = 0.983, 95% CI: -0.419, -0.124, p < 0.001). CONCLUSION: Attendance and attrition criteria were met, along with session timing at 1 - and 3-months, but not at 6- and 12-month visits. The PCSC-EC demonstrated significant improvements in PF at 3 - and 6 - months. These findings will help inform future adaptations to the PCSC-EC for men with PC in a real-world setting.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".