A qualitative study to refine and finalize the MedManageSCI prototype: A web-based toolkit to support medication self-management in adults with spinal cord injury/dysfunction
Bibliographic record
Abstract
Adults with spinal cord injury/ dysfunction (SCI/D) commonly take multiple medications for a variety of secondary conditions, and have described challenges with medication self-management. To help support medication self-management, a web-based toolkit, MedManageSCI, was co-designed by our team of researchers and adults with SCI/D, caregivers, and healthcare providers (www.medmanagesci.ca). Together, we co-developed the content areas to include in MedManageSCI, along with the design and brand considerations, to create an initial prototype of the toolkit. To finalize the prototype prior to implementation, the primary objective of this qualitative study was to further refine MedManageSCI by examining the clarity, comprehensiveness, relevance, and delivery of the toolkit modules. Cognitive interviews were conducted virtually between July 2024 and September 2024 with adults with SCI/D (N = 16). A concurrent verbal probing approach using scripted and spontaneous probes was followed. Data were coded using a pre-established coding matrix that aligned with the scripted probes. Participants provided 193 specific modifications to improve the clarity, comprehensiveness, relevance, or delivery of the MedManageSCI toolkit, which were categorized as: Comprehension, Design, and Web-based Delivery. The Comprehension category contained three subcategories: Written Refinements, Ensuring Accessibility, and Revamping Resources. The Design category contained three subcategories: Formatting Content, Streamlining Function, and Enhancing Visuals. Participants perceived the website as an ideal way to deliver the toolkit, noting several benefits of a web-based delivery in comparison to a paper-based toolkit. Overall, participants found the modules to be comprehensive and highly relevant. Further, we discuss the application of cognitive interviews for further refining the MedManageSCI prototype, recommendations to improve the comprehensibility, and the advantages of a web-based toolkit for the SCI/D population. Involving individuals with SCI/D in the development and refinement of self-management materials will help ensure that the content and resources are tailored and appropriate; thereby elevating its likelihood of uptake and dissemination during implementation.
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 | 0.038 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".