Replication Data for: Adolescents’ perspectives on non-pharmacological pain interventions for sickle cell crisis management: a population-based survey
Bibliographic record
Abstract
Background & Aims: Nigeria has the highest sickle cell disease (SCD) prevalence globally. Research indicates that adolescents often utilize non-pharmacological interventions (NPIs) to cope with recurrent painful sickle cell crises (SCC) while navigating the complex biopsychosocial challenges of adolescence. This study explored the use and perceived value of NPIs for managing SCC pain from the perspectives of Nigerian adolescents, including their preferred media for NPI educational resources. Methods: A population-based survey targeted adolescents aged 12 to 18 living with SCD in Nigeria. Adolescents were recruited using convenience and snowballing sampling through SCD support groups and were asked to complete a 27-item questionnaire delivered online or on paper. Data were descriptively analysed. Results: Out of 138 surveys returned, 123 surveys were included in the final analysis. Among the participants, 51% were males with a mean age of 14.85 (SD±2.11). Most participants (77%) had used at least one NPI to manage pain during SCC, and 31 different NPIs were reported. The most used NPIs were massage (53%), herbal products (37%) and prayer (30%). Participants described various factors that impacted their use of NPI, including healthcare providers’ disapproval. The most common NPIs that the adolescents plan to use in the future were: herbal products (45%), massage (33%) and prayer (30%). Lastly, respondents preferred to receive NPI education via videos (34%) and animations (20%). Conclusions: The study showed that Nigerian adolescents use various NPIs to manage their pain during SCC, including traditional remedies and physical and spiritual interventions. Most participants already used (or planned to use) herbal products and other NPIs with limited scientific evidence of their safety or effectiveness on SCD outcomes. This warrants the attention of clinicians and researchers as there is an urgent need to further explore the specific NPIs used and their effectiveness on SCD outcomes and safety.
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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 | 0.001 | 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 | 0.001 | 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".