In the evolving landscape of pediatric healthcare, the comprehensive assessment of multimorbidity—simultaneous presence of two or more chronic conditions—has become a paramount challenge and necessity. Recent investigations highlight a concerning gap in the tools currently employed to evaluate these complexities in children, suggesting an urgent call for innovative, child-specific assessment methodologies. A recent systematic scoping review, registered with PROSPERO and adhering to PRISMA guidelines, casts a revealing spotlight on the inadequacies of existing questionnaires, opening a critical dialogue on advancing pediatric health assessment frameworks.
This exhaustive review, spanning over eleven thousand initial records sourced from four major databases including PubMed, Embase, Web of Science, and CINAHL, distilled just eleven pertinent studies that probed the applicability and adaptability of current health questionnaires in assessing chronic disease and multimorbidity in children aged 0 to 18 years. The select tools—Child Health Questionnaire (CHQ), International Study of Asthma and Allergies in Childhood (ISAAC), Development and Well-Being Assessment (DAWBA), and Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID)—though revered for their validity, were originally designed to diagnose or evaluate singular conditions, not the concurrent complexity of multimorbid states.
The widespread pivot towards repurposing these instruments underscores a significant challenge in pediatric healthcare research: the absence of a rigorously designed, culturally sensitive, and universally applicable tool that can precisely gauge the interconnectedness and compounded impact of multiple chronic conditions within the pediatric population. Such repurposing, while practical, inherently risks oversimplifying the patient’s health profile by compartmentalizing interconnected conditions into isolated assessments, thereby curtailing a full grasp of the interrelated morbidity spectrum.
Systematic bias emerged as an important consideration within the analyzed studies, with the review noting a moderate risk level in cross-sectional designs and a comparatively lower bias in cohort studies. This variance in methodological integrity further complicates the landscape, suggesting that even the quantitative data available may be subject to interpretive limitations that affect the reliability and generalizability of findings in multimorbidity research among children.
Crucially, while these commonly utilized questionnaires provide critical epidemiological insights, they vary significantly in scope, focus, and cultural application, which limits their utility in fully capturing the nuanced clinical realities of pediatric multimorbidity. The CHQ, for instance, is comprehensive in health-related quality of life but lacks specificity when multiple chronic disease interactions need to be mapped. Similarly, ISAAC is robust in allergic and respiratory conditions but less so when broader systemic interactions are at play.
The DAWBA and MINI-KID, predominantly psychiatric-focused instruments, offer depth in behavioral and mental health arenas but do not extend satisfactorily into other medical domains, creating a fragmented picture when children present with complex multimorbidity spanning physical and psychological domains alike. The intrinsic fragmentation in data collection and interpretative frameworks across these tools represents a systemic flaw in current pediatric health monitoring paradigms.
This review’s findings illuminate a critical gap between the holistic understanding required to manage multimorbid pediatric patients effectively and the piecemeal approach intrinsic to tools originally designed for single-condition analysis. Without a dedicated, specialized instrument, clinicians and researchers are left piecing together partial views that hinder effective intervention, comprehensive treatment planning, and meaningful long-term health outcomes.
Moreover, the cultural and regional adaptability of current questionnaires remains insufficiently addressed, rendering their global application problematic. Diverse populations, with differing disease patterns, healthcare access, and social determinants, require assessment tools that are both sensitive and specific to their unique contexts. The lack of cultural customization within existing instruments may skew data accuracy and impede the formulation of equitable health policies and interventions worldwide.
The implications of these findings stretch beyond academic curiosity, influencing clinical practice, policy formulation, and pediatric patient advocacy. Without reliable, targeted tools, healthcare providers face substantial barriers in identifying and addressing the multifaceted needs of children with multimorbidity—children whose health outcomes hinge critically on nuanced, integrated care models.
This review calls for an interdisciplinary, collaborative approach to tool development, leveraging advances in digital health, psychometrics, and pediatric medicine to forge instruments that are both scientifically rigorous and practically deployable. Integration of patient-reported outcomes, electronic health record analytics, and culturally informed design principles will be vital in crafting such innovative tools.
The pressing need for pediatric-specific multimorbidity assessment instruments also opens avenues for funding and research prioritization, emphasizing the role of global health organizations, academic institutions, and industry partners to spearhead efforts. Such initiatives could underpin future epidemiological surveillance, clinical trials, and personalized medicine approaches tailored to the complex reality of childhood multimorbidity.
In essence, this scoping review serves as a clarion call to recalibrate pediatric healthcare assessment towards a multidimensional, child-focused paradigm. Evidently, the path forward involves transcending the limitations of legacy instruments and embracing novel frameworks that holistically embrace the intricate interplay of chronic conditions in children.
As the global pediatric health community grapples with rising rates of chronic diseases and their combinations, addressing these critical instrumentation gaps will be foundational in advancing care quality, improving health trajectory, and ultimately, enhancing the well-being of the youngest and most vulnerable patients.
The findings thus underscore an urgent research frontier, inviting innovation and strategic collaboration to meet a growing and complex challenge, one that lies at the core of optimizing health outcomes for children worldwide.
Subject of Research:
Assessment tools for childhood multimorbidity and their limitations in current pediatric healthcare research.
Article Title:
A systematic scoping review and gap analysis of questionnaires to assess multimorbidity among children.
Article References:
Murmu, J., Sinha, A., Nayak, U. et al. A systematic scoping review and gap analysis of questionnaires to assess multimorbidity among children. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-05046-9
Image Credits: AI Generated
DOI: 08 May 2026
Keywords:
Pediatric multimorbidity, chronic disease assessment, childhood health questionnaires, Child Health Questionnaire (CHQ), International Study of Asthma and Allergies in Childhood (ISAAC), Development and Well-Being Assessment (DAWBA), Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID), pediatric healthcare tools, multimorbidity measurement challenges
Tags: Child Health Questionnaire limitationschild-specific health assessment methodschildhood multimorbidity assessment toolschronic conditions in childrenDAWBA tool for child mental healthISAAC questionnaire pediatric useMINI-KID neuropsychiatric interview in childrenpediatric healthcare research challengespediatric multimorbidity questionnairesPRISMA guidelines in health researchPROSPERO registered pediatric studiessystematic scoping review pediatric multimorbidity
