Innovation in the treatment of persistent pain in adults with Neurofibromatosis Type 1 (NF1): Implementation of the iCanCope mobile application
Bibliographic record
Abstract
Neurofibromatosis Type 1 (NF1) is a genetic disorder presenting with chronic pain symptoms that has limited treatment options for addressing the pain. The utilization of a mobile application allows for greater reach and scalability when using empirically valid psychosocial self-management treatments for pain. The iCanCope mobile application has been utilized in several different populations dealing with pain symptoms and has demonstrated initial effectiveness. To address the need for this population, we have customized the iCanCope mobile application for the NF1 population and included additional tailored features. We describe the rationale and design of a pilot randomized control study with a sample of 108 adults with NF1, in which two groups will receive access to the mobile application, of which one group will be incentivized to engage in the mobile application and the third group will treatment as usual over the course of 8-week period with a six-week follow-up. Outcomes will focus on the acceptability of the iCanCope-NF mobile application within the NF1 population and the impact of pain related activity on psychometric evaluations to determine if the contingency management will impact the engagement of mobile application, as well as to identify the participants' experiences in relationship to their treatment satisfaction and perceived support.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".