Asking the experts: Exploring the self‐management needs of adolescents with arthritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To explore the self-management needs of adolescents with juvenile idiopathic arthritis and the acceptability of a Web-based program of self-management aimed at improving quality of life. METHODS: A descriptive qualitative design was used. A convenience sample of 36 adolescents (male and female) who varied in age, disease onset subtype, and disease severity were recruited from 4 Canadian tertiary care pediatric centers. Individual (n=25) and 3 focus-group (n=11) interviews were conducted with adolescents using semistructured interview guides. After each interview session, the audiotaped interview data were transcribed verbatim. NUD*IST 6.0 was used to assist with the sorting, organizing, and coding of the data. Data were organized into categories that reflected emerging themes. RESULTS: Adolescents articulated how they developed effective self-management strategies through the process of "letting go" from others who had managed their illness (health care professionals, parents) and "gaining control" over managing their illness on their own. The 2 strategies that assisted in this process were gaining knowledge and skills to manage the disease and experiencing understanding through social support. Five further subthemes emerged around skills to manage the disease, including knowledge and awareness about the disease, listening to and challenging care providers, communicating with the doctor, managing pain, and managing emotions. CONCLUSION: Adolescents were united in their call for more information, self-management strategies, and meaningful social support to better manage their arthritis. They believed that Web-based interventions were a promising avenue to improve accessibility and availability of these interventions.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it