Focus Groups to Inform User-Centered Development of an eHealth Sleep Intervention for Adolescents: Perspectives of Youth with Insomnia Symptoms, with and without Pain
Bibliographic record
Abstract
INTRODUCTION: Adolescence is a developmental stage that often coincides with increasing sleep problems. Focus groups were conducted to inform development of an adolescent eHealth sleep intervention by exploring opinions about (1) healthy sleep practices, and (2) using an eHealth intervention. METHODS: Adolescents 14-18 years old experiencing symptoms of insomnia based on the Insomnia Sleep Index, with and without recurrent pain, and associated stakeholders (i.e., parents, school personnel, and health care providers) were recruited. Across six online focus groups, 24 adolescents with insomnia participated (14 pain-free, 10 with recurrent pain; 10 male, 14 female). Across seven online focus groups, 22 stakeholders participated, including 8 parents, 9 school professionals, and 5 health care providers (10 male, 8 female). Using a content analysis, subthemes were induced from transcripts. RESULTS: Most healthy sleep practices were perceived as reasonable for adolescents to implement, except avoiding technology before bed and using bedrooms only for sleep. Three primary barriers to sleep practices were identified, including a variable schedule due to lifestyle factors, technology at night, and academics interfering with sleep, and only in the pain group, the barrier related to pain was identified. Content addressing adolescent-specific barriers was considered important to include in a sleep intervention. Desirable eHealth components included interactive features, videos, audio, and pictures to present information. A common barrier to using an eHealth sleep intervention was the program feeling too academic, with accessibility of the sleep information and strategies as a common facilitator. CONCLUSIONS: This research represents the first step in a user-centered approach to developing an adolescent eHealth sleep intervention. These results provide insights from a range of perspectives on guiding adolescents to follow healthy sleep practices. Next, these findings will be integrated in the development of an eHealth intervention for adolescents with and without recurrent pain.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".