THE EFFECTIVENESS OF SHAM INSOLES VERSUS PREFABRICATED BIOSOLE-GEL™ INSOLES, CUSTOM-MADE SOLE SUPPORTS™ ORTHOTICS OR CUSTOM-MADE CANADIAN ORTHOTICS LABORATORY LTD. ORTHOTICS FOR THE TREATMENT OF PLANTAR FASCIITIS IN CANADIAN MILITARY PERSONNEL.
Bibliographic record
Abstract
Currently the Canadian military does not provide a clinical treatment protocol manual for the treatment of its members for the treatment of plantar fasciitis. In March 2014 the physiotherapy staff at Canadian Forces Base Shilo (CFB Shilo) attended a civilian conference at which it was advised that prefabricated insoles were more effective at treating plantar fasciitis than custom-made orthotics. This then lead to an overnight change in the previous treatment protocol of providing military personnel at CFB Shilo who had been diagnosed with plantar fasciitis with two sets of custom-made Sole Supports™ orthotics to providing them with a set of prefabricated BioSole-Gel™ insoles instead. No research was conducted by the Canadian military to support this change. Personnel who had been transferred from other CFB regions were provided with whatever was available in their geographic region, mostly commonly either a prefabricated insole or a custom-made orthotic made from a subtalar neutral cast. As evidence-base practice is now the gold-standard in treatment measures this research is being proposed to determine whether the treatment for plantar fasciitis in Canadian military personnel should be a prefabricated BioSole-Gel™ insole, a custom-made Sole Supports™ orthotic, a subtalar neutral rigid custom-made orthotic from Canadian Orthotics Laboratory Ltd. or a sham insole. This 4-armed parallel study will be conducted by randomly allocating 324 Canadian military personnel deemed to be suffering from plantar fasciitis, into four evenly divided groups who will then receive one of the above mentioned devices, alongside a stretching protocol. At the commencement of this study participants will be asked to complete a Lower Extremity Functional Scale questionnaire (LEFS) as well as a Foot Status Health Questionnaire (FSHQ). This will be repeated at 4 weeks, 12 weeks, at the 26 week mid-point and at the conclusion of the study at one year. Once completed analysis of these questionnaires will be carried out to determine whether in fact there is a difference in outcomes for the four treatment options. Once analysed it is hoped that this information can be used to provide evidence based guidelines for the treatment protocol for plantar fasciitis for Canadian military personnel.
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.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".