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. 2023 May 17;10(5):897.
doi: 10.3390/children10050897.

Translating Precision Health for Pediatrics: A Scoping Review

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Translating Precision Health for Pediatrics: A Scoping Review

Mathushan Subasri et al. Children (Basel). .

Abstract

Precision health aims to personalize treatment and prevention strategies based on individual genetic differences. While it has significantly improved healthcare for specific patient groups, broader translation faces challenges with evidence development, evidence appraisal, and implementation. These challenges are compounded in child health as existing methods fail to incorporate the physiology and socio-biology unique to childhood. This scoping review synthesizes the existing literature on evidence development, appraisal, prioritization, and implementation of precision child health. PubMed, Scopus, Web of Science, and Embase were searched. The included articles were related to pediatrics, precision health, and the translational pathway. Articles were excluded if they were too narrow in scope. In total, 74 articles identified challenges and solutions for putting pediatric precision health interventions into practice. The literature reinforced the unique attributes of children and their implications for study design and identified major themes for the value assessment of precision health interventions for children, including clinical benefit, cost-effectiveness, stakeholder values and preferences, and ethics and equity. Tackling these identified challenges will require developing international data networks and guidelines, re-thinking methods for value assessment, and broadening stakeholder support for the effective implementation of precision health within healthcare organizations. This research was funded by the SickKids Precision Child Health Catalyst Grant.

Keywords: child health policy; evidence development; health technology assessment; implementation; pediatrics; precision health; priority-setting.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Coding structure used to organize data extraction.
Figure 2
Figure 2
PRISMA flow diagram for the study selection process.

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