Literature Collection

Background/Objectives: Pediatric chronic pain requires individualized care. The Pediatric Pain Screening Tool (PPST) allows for stratification of psychosocial and physical risk factors and may guide targeted interventions. However, its integration into multimodal physiotherapy programs remains unexplored. This exploratory feasibility case series study evaluated a PPST-guided, risk-stratified multimodal physiotherapy intervention in children aged 8-17 years with chronic pain. Methods: Participants were classified as low, medium, or high risk. Interventions were tailored accordingly. Outcomes were assessed pre- and post-intervention and included pain intensity, pain interference, psychological distress, and quality of life. Results: Ten participants (mean age = 13.5 years; 60% girls) were included. Six were classified as high, three as medium, and one as low risk based on the PPST. After an 8-week physiotherapist intervention program, pain interference significantly decreased (MD = -7.5; p = 0.040; d = 1.69), as did pain intensity at rest (MD = -3.1; p = 0.002; d = 2.60) and during movement (MD = -3.0; p = 0.004; d = 2.55), exceeding the MCID of 1.92. In the high-risk group, reductions were observed in anxiety (p = 0.006; d = 2.36), pain-related worries (p = 0.001; d = 3.79), fear of movement (p = 0.015; d = 1.62), and fear of pain (p = 0.002; d = 3.37). Eighty percent reported feeling "a great deal better" in the PGIC including all high-risk participants. Conclusions: These results supports the feasibility of integrating PPST risk stratification into multimodal management, providing a structured and effective framework for addressing pediatric chronic pain.

BACKGROUND: The p factor represents the overall liability for the development of mental illness. While evidence supporting the p factor in adults has been reported, studies in children are fewer, and none have examined the p factor in children with chronic physical illness (CPI). OBJECTIVE: We aimed to model the p factor in a longitudinal sample of children with CPI using a parent-reported checklist and examine its construct validity against a structured diagnostic interview. METHODS: We used data from 263 children aged 2-16 years diagnosed with a CPI who were enrolled in the Multimorbidity in Children and Youth across the Life-course (MY LIFE) study. The p factor was modelled using the Emotional Behavioural Scales over 24 months using confirmatory factor analysis. Validation of the p factor was set against the Mini International Neuropsychiatric Interview for Children and Adolescents. RESULTS: Factorial evidence supported the p factor, modelled using a bi-factor structure, compared to a standard correlated-factors (i.e., two-factor) structure [Δχ(2) = 9.66(4), p = 0.047]. p factor scores were correlated with the number of different mental illness diagnoses (r = 0.71) and total number of diagnoses (r = 0.72). Dose-response relationships were shown for the number of different diagnoses (p < 0.001) and total number of diagnoses (p < 0.001). CONCLUSION: In this first study of the p factor in children with CPI, we showed evidence of its bi-factor structure and associations with mental illness diagnoses. Mental comorbidity in children with CPI is pervasive and warrants transdiagnostic approaches to integrated pediatric care.