Effectiveness of off-the-shelf footwear in reducing foot pain in Australian Department of Veterans� Affairs recipients not eligible for medical grade footwear: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Foot pain is highly prevalent in older people, and in many cases is associated with wearing inadequate footwear. In Australia, the Department of Veterans' Affairs (DVA) covers the costs of medical grade footwear for veterans who have severe foot deformity. However, there is a high demand for footwear by veterans with foot pain who do not meet this eligibility criterion. Therefore, this article describes the design of a randomized controlled trial to evaluate the effectiveness of low cost, off-the-shelf footwear in reducing foot pain in DVA recipients who are currently not eligible for medical grade footwear. METHODS: One hundred and twenty DVA clients with disabling foot pain residing in Melbourne, Australia, who are not eligible for medical grade footwear will be recruited from the DVA database, and will be randomly allocated to an intervention group or a 'usual care' control group. The intervention group will continue to receive their usual DVA-subsidized podiatry care in addition to being provided with low-cost, supportive footwear (Dr Comfort®, Vasyli Medical, Labrador, Queensland, Australia). The control group will also continue to receive DVA-subsidized podiatry care, but will not be provided with the footwear until the completion of the study. The primary outcome measure will be pain subscale on the Foot Health Status Questionnaire (FHSQ), measured at baseline and 4, 8, 12 and 16 weeks. Secondary outcome measures measured at baseline and 16 weeks will include the function subscale of the FHSQ, the Manchester Foot Pain and Disability Index, the number of DVA podiatry treatments required during the study period, general health-related quality of life (using the Short Form 12® Version 2.0), the number of falls experienced during the follow-up period, the Timed Up and Go test, the presence of hyperkeratotic lesions (corns and calluses), the number of participants using co-interventions to relieve foot pain, and participants' perception of overall treatment effect. Data will be analyzed using the intention-to-treat principle. DISCUSSION: This study is the first randomized controlled trial to evaluate the effectiveness of off-the-shelf footwear in reducing foot pain in DVA recipients. The intervention has been pragmatically designed to ensure that the study findings can be implemented into policy and clinical practice if found to be effective. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12612000322831.
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How this classification was reachedexpand
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 | 0.061 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".