Single session therapy in pediatric healthcare: the value of adopting a strengths-based approach for families living with neurological disorders
Bibliographic record
Abstract
BACKGROUND: Pediatric patients with neurological disorders often require lifelong management of symptoms and behaviours that can result in enduring emotional burden, stress and impacted health-related quality of life. Single session therapy (SST) draws upon patients' existing skills and knowledge and has emerged as a therapeutic approach to address pediatric patient and family needs in a timely manner. This study aimed to assess the clinical effectiveness of SST for pediatric patients with neurological disorders and their families, considering self-efficacy, distress, anxiety, therapeutic alliance and client satisfaction, as well as perceptions of whether SST met their pressing needs. METHODS: A convergent parallel mixed-methods design included quantitative data collection via five standardized questionnaires across three time points and qualitative data collection through semi-structured interviews. Quantitative and qualitative data were analyzed independently and then integrated. RESULTS: The study comprised of 135 participants, including patients, parents and siblings across diverse neurological conditions. Scores of self-efficacy and anxiety in children, and distress and anxiety in adults, improved significantly after the SST. Notably, changes in anxiety in adults remained significant five to seven weeks after the SST. Seventeen participants participated in 12 semi-structured interviews. Participants described that SST (1) was a missing piece in ongoing clinical care, (2) illuminated existing strengths and resilience, and (3) effected a lasting impact beyond the single session. CONCLUSIONS: SST may be a promising initial, strengths-based treatment to support the short-term and potentially long-term needs of pediatric patients with neurological disorders and their families by emphasizing existing strengths, supporting therapeutic alliance and cultivating hope.
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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 | 0.001 | 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".