Walking away from back pain: one step at a time – a community-based randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Low back pain is highly prevalent and a significant public health burden in Western society. Feasibility studies suggest personalised pedometer-driven walking is an acceptable and effective motivating tool in the management of chronic low back pain (CLBP ≥ 12 weeks). The proposed study will investigate pedometer-driven walking as a low cost, easily accessible, and sustainable means of physical activity to improve disability and clinical outcomes for people with CLBP in Saskatchewan, Canada. METHODS/DESIGN: A fully-powered single-blinded randomised controlled trial will compare back care advice and education with back care advice and education followed by a 12-week pedometer-driven walking programme in adults with CLBP. Adults with self-reported CLBP will be recruited from the community and screened for elibility. Two-hundred participants will be randomly allocated to one of two intervention groups. All participants will receive a single back care advice and education session with a physiotherapist. Participants in the walking group will also receive a physiotherapist-facilitated pedometer based walking programme. The physiotherapist will facilitate the participant to monitor and progress the walking programme, by phone, on a weekly basis over 10 weeks following two face-to-face sessions. Outcome measures of self-reported disability, physical activity, participants' low back pain beliefs/perceptions, quality of life and direct/indirect cost estimates will be gathered at baseline, three months, six months, and 12 months by a different physiotherapist blinded to group allocation. Following intervention, focus groups will be used to explore participants' thoughts and experiences of pedometer-driven walking as a management tool for CLBP. DISCUSSION: This paper describes the design of a community-based RCT to determine the effectiveness of a pedometer-driven walking programme in the management of CLBP. TRIAL REGISTRATION: United States National Institutes of Health Clinical Trails registry (http://ClinicalTrials.gov/) No. NCT02284958 . Registered on 27(th) October 2014).
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".