A qualitative exploration of child, caregiver, and clinician perspectives on mental health in children with osteogenesis imperfecta
Bibliographic record
Abstract
Osteogenesis imperfecta (OI) is a heritable connective disorder with clinical manifestations including bone fragility and short stature. Previous research identified psychosocial themes related to mental health among children with OI and their caregivers, such as independence, social isolation, depression, and anxiety. Several studies have also examined clinicians of individuals with OI for their perspectives on mental health among their patients. However, no known studies have compared psychosocial themes among all three participant groups concurrently. This qualitative study examined mood and anxiety, along with risk and protective factors, from perspectives of youths, parents, and clinicians. Semi-structured interviews were conducted, which were coded independently by two researchers. Codes were analyzed for extraction of themes. Relevant themes include depressed and anxious mood experienced in individuals with OI, as well as risk factors and protective factors for these symptoms. Participants reported functional limitations and social isolation as key risk factors for symptoms of anxious or depressed mood. In contrast, they discussed positive attitudes, social support, multidisciplinary medical groups, and mental health access as key protective factors. Implications for clinical care and future research are discussed. Convergence and divergence of themes across study samples are discussed in detail.
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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 | 0.017 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".