Integrating self-management and exercise for people living with arthritis
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
The Program for Arthritis Control through Education and Exercise, PACE-Ex™, is an arthritis self-management program incorporating principles and practice of self-management, goal setting and warm water exercise. The purpose of this program review is to examine the impact of PACE-Ex on participants' self-efficacy for condition management, self-management behaviors, goal achievement levels and self-reported disability, pain and health status. A retrospective review was conducted on participants who completed PACE-Ex from 1998 to 2006. A total of 347 participants completed 24 PACE-Ex programs [mean age 69.9 (±12.2) years, living with arthritis mean of 14.1 (±13.2) years]. Participants showed statistically significant improvements in their self-efficacy to manage their condition (Program for Rheumatic Independent Self-Management Questionnaire) (P < 0.001) and performance of self-management behaviors (Self-Management Behavior Questionnaire) (P < 0.01). Self-reported health status, disability and pain levels improved post-program (P < 0.01) despite reporting statistically significant increase in the total swollen and tender joint counts (Health Assessment Questionnaire) (P < 0.05). Sixty-eight percent of participants achieved or exceeded their long-term goal as measured by Goal Attainment Scaling. These findings remain to be proven with a more rigorous method yet they suggest that PACE-Ex is a promising intervention that supports healthy living for individuals with arthritis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 | 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 it