Internet-mediated physiotherapy and pain coping skills training for people with persistent knee pain (IMPACT – knee pain): a randomised controlled trial protocol
Bibliographic record
Abstract
Abstract Background Persistent knee pain in people over 50 years of age is often attributable to knee osteoarthritis (OA), a common joint condition that causes physical and psychological dysfunction. Exercise and pain coping skills training (PCST) can help reduce the impact of persistent knee pain, however, access to health professionals who deliver these services can be challenging. With increasing access to the Internet, remotely delivered Internet-based treatment approaches may provide alternatives for healthcare delivery. This pragmatic randomised controlled trial will investigate whether an Internet-delivered intervention that combines PCST and physiotherapist-guided exercise (PCST + Ex) is more effective than online educational material (educational control) in people with persistent knee pain. Methods/Design We will recruit 148 people over 50 years of age with self-reported persistent knee pain consistent with knee OA from the Australian community. Following completion of baseline questionnaires, participants will be randomly allocated to access a 3-month intervention of either (i) online educational material, or (ii) the same online material plus an 8-module (once per week) Internet-based PCST program and seven Internet-delivered physiotherapy sessions with a home exercise programs to be performed 3 times per week. Outcomes will be measured at baseline, 3 months and 9 months with the primary time point at 3 months. Primary outcomes are average knee pain on walking (11-point numeric rating scale) and self-reported physical function (Western Ontario and McMaster Universities Osteoarthritis Index subscale). Secondary outcomes include additional measures of knee pain, health-related quality-of-life, perceived global change in symptoms, and potential moderators and mediators of outcomes including self-efficacy for pain management and function, pain coping attempts and pain catastrophising. Other measures of adherence, adverse events, harms, use of health services/co-interventions, and process measures including appropriateness and satisfaction of the intervention, will be collected at 3, 6 and 9 months. Discussion The findings will help determine the effectiveness and acceptability of Internet access to a combination of interventions that are known to be beneficial to people with persistent knee pain. This study has the potential to guide clinical practice towards innovative modes of healthcare provision. Trial registration Australian New Zealand Clinical Trials Registry reference: ACTRN12614000243617 .
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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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.069 | 0.008 |
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".