Objectives: Chronic pain in children and adolescents (CPCA) is widespread with an increasing prevalence. It is associated with a decreased quality of life and an increased parental work loss. Accordingly, CPCA may pose a substantial economic burden for patients, health care payers, and society. Therefore, this systematic review aimed to synthesize (1) the results of existing cost-of-illness studies (COIs) for CPCA and (2) the evidence of economic evaluations (EEs) of interventions for CPCA. Methods: The systematic literature search was conducted in EMBASE, MEDLINE, PsycINFO, NHS EED, and HTA Database until February 2023. Title, abstract, and full-text screening were conducted by 2 researchers. Original articles reporting costs related to CPCA published in English or German were included. Study characteristics, cost components, and costs were extracted. The quality of studies was assessed using standardized tools. All costs were adjusted to 2020 purchasing power parity US dollars (PPP-USD). Results: Fifteen COIs and 10 EEs were included. The mean annual direct costs of CPCA ranged from PPP-USD 603 to PPP-USD 16,271, with outpatient services accounting for the largest share. The mean annual indirect costs ranged from PPP-USD 92 to PPP-USD 12,721. All EEs reported a decrease in overall costs in treated patients. Discussion: The methodology across studies was heterogeneous limiting the comparability. However, it is concluded that CPCA is associated with high overall costs, which were reduced in all EEs. From a health-economic perspective, efforts should address the prevention and early detection of CPCA followed by specialized pain treatment.

Chronic pain is a common burden among children and adolescents associated with impairments in many aspects of life. Higher pain severity increases this burden. Subsequently, it is important to identify factors predicting the course of pain severity, classified by the chronic pain grading (CPG). In a 1-year longitudinal assessment of a general school-age population (N = 2,280), we aimed to identify biopsychosocial factors associated with CPG trajectories. We focused on children and adolescents who reported chronic pain at the start of the year (N = 689). Using longitudinal latent class analysis, we identified 3 classes of CPG trajectories over 1 year: 1) the "pain recovery group" exhibited initially moderate CPG scores that rapidly and consistently declined to a pain-free level, 2) the "continuously moderate pain severity group" displayed initially high CPG levels with a mild decline over time, and 3) the "continuously low pain severity group" had initially moderate CPG levels, which only slightly declined. In comparison to the pain recovery group, the continuously moderate pain severity group presented with heightened levels of anxiety (odds ratio [OR] = 1.12, 95% confidence interval [CI] [1.02, 1.24], P = .023), depression (OR = 1.10, 95% CI [1.01, 1.19], P = .029), and affective pain perception (OR = 1.10, 95% CI [1.02, 1.18], P = .010) and were more likely to be female (OR = 2.14, 95% CI [1.05, 4.35], P = .036). The continuously low pain severity group was predominantly female (OR = 1.65, 95% CI [1.10, 2.49], P = .016) compared to the pain recovery group. In conclusion, girls and individuals with impaired psychological well-being more often exhibit unfavorable trajectories of chronic pain severity. PERSPECTIVE: Pediatric chronic pain patients, particularly females and those exhibiting elevated anxiety or depression scores or heightened affective pain perception warrant special attention in health care. These individuals have a greater risk of an unfavorable trajectory of chronic pain severity and might need more urgent and specialized treatment.

Chronic pain is common among children and adolescents; however, the diagnoses in the newly developed 11th revision of the International Classification of Diseases (ICD-11) chronic pain chapter are based on adult criteria, overlooking pediatric neurodevelopmental differences. The chronic pain diagnoses have demonstrated good clinical applicability in adults, but to date, no field study has examined these diagnoses to the most specific diagnostic level in a pediatric sample. The current study aimed to explore pediatric representation within the ICD-11, with focus on chronic primary pain. Healthcare professionals (HCPs) at a specialized pediatric pain center documented the symptoms of and assigned both ICD-10 and ICD-11 diagnoses to N = 402 patients. Using criteria-based computer algorithms, specific ICD-11 pain diagnoses were allocated for each documented pain location, with residual diagnoses (ie, “unspecified”) assigned if criteria were not (fully) met. Within the ICD-11, the algorithms assigned specific pain diagnoses to most patients (73.6%). In ICD-10, HCPs could not specify a diagnosis for 5.2% of patients; the ICD-11 algorithm allocated a residual chronic primary pain diagnosis in 51.2%. Residual categories were especially prevalent among younger children, boys, patients with headaches, and those with lower pain severity. Overall, clinical utility of the ICD-11 was high, although less effective for chronic back pain and headache diagnoses. The latter also exhibited the lowest agreement between HCPs and algorithm. The current study underscores the need for evidence-based improvements to the ICD-11 diagnostic criteria in pediatrics. Developing pediatric coding notes could improve the visibility of patients internationally and improve the likelihood of receiving reimbursement for necessary treatments through accurate coding.

Background/Objectives: The use of digital media, and especially social media, has been increasing over recent years. Previous research has reported a negative impact of media use on headaches; however, most of these studies are cross-sectional. Therefore, we conducted a longitudinal study to explore the relationship between different types of media usage (watching videos, gaming, and social media) and headache frequency and headache intensity over time. Methods: School-aged children from five German schools completed five assessments between 2017 and 2018. In total, N = 575 (72.9% female; M_age = 13.3, SD_age = 1.86) children and adolescents reporting consistent headaches across all assessments were analyzed. Multilevel linear modeling was used to assess the relationships between media use and headache frequency and intensity over time. Results: There were only minor associations between media use and headache intensity or frequency. Notably, only high social media usage was linked with worse headache intensity (t(1989) = 4.109, p < 0.001). Conclusions: The impact of media use on headaches seems to be less harmful than previous research might suggest. We believe that increased time spent consuming media should not be considered a risk factor for pain conditions but rather a helpful resource for pain management.

The 11th revision of the International Classification of Diseases (ICD-11) now includes separate chronic pain diagnoses that may be extended by chronic pain severity specifiers. These specifiers comprise 3 dimensions—pain intensity, pain-related distress, and pain-related interference—rated on an 11-point numerical rating scale referring to the past 7 days. Like the chronic pain diagnoses, these specifiers were originally developed for adults. The current study, therefore, aimed to adapt and validate the 3 ICD-11 chronic pain severity specifiers for pediatric chronic pain patients and evaluate their clinical utility. After adapting the specifiers using feedback from patients and experts, data were collected from N = 319 pediatric chronic pain patients aged 8 to 17 years in a tertiary care setting using 4 assessment methods: patient interview, patient questionnaire, parent-proxy, and healthcare-professional-proxy. Despite all patients having chronic pain, not all reported having experienced pain in the past 7 days. The 3 severity dimensions were interrelated but not unidimensional; both interrater and test–retest reliability were large. While patterns of concurrent and discriminant validity were as expected, correlations with related measures were small. Predictive validity regarding treatment recommendation was small to medium. Most, but not all, suggested severity categories (“none,” “mild,” “moderate,” “severe”) were sufficiently distinct within this sample. The chronic pain specifiers provide a quick and easy biopsychosocial description. They should, however, be interpreted with caution in clinical practice, as the psychometric quality is insufficient for making therapeutic or reimbursement-related decisions for individual pediatric patients based solely on these 3 items.