Emerging Trends in Pediatric Disease Management and Preventive Care: A Systematic Review.
5 affiliations
- 1Department of Pediatrics, Kauvery Hospital, Chennai, IND.
- 2Department of Pediatrics, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (Deemed to be University), Puducherry, IND.
- 3Department of Pharmacy Practice, Sri Venkateshwara College of Pharmacy, affiliated with Osmania University, Hyderabad, IND.
- 4Department of Radiodiagnosis, Santosh Medical College, Santosh Deemed to be University, Ghaziabad, IND.
- 5Department of Pediatrics, Indira Gandhi Institute of Child Health, Bengaluru, IND.
Abstract
Child health systems are undergoing rapid transformation driven by biomedical innovation, digital integration, and strengthened preventive strategies. Over the past decade, advances in vaccination, pharmacological therapies, digital monitoring, artificial intelligence-assisted diagnostics, and school-based health programs have reshaped pediatric care delivery. Despite expanding technological capacity and structured prevention models, evidence remains fragmented across clinical, behavioural, and diagnostic domains. Long-term effectiveness, sustainability, and equitable implementation of emerging tools remain insufficiently synthesised within a unified framework. This systematic review synthesises contemporary evidence published between 2015 and 2025 to examine evolving approaches to pediatric disease management and prevention. A structured protocol guided database searches, study selection, and quality appraisal. Randomised controlled trials, cluster trials, feasibility studies, and diagnostic accuracy studies involving pediatric populations were included. Risk of bias was assessed using validated appraisal frameworks appropriate to the study design. Ten studies met the eligibility criteria. Interventions demonstrated measurable improvements in vaccine efficacy, respiratory infection reduction, obesity-related outcomes, injury prevention, asthma adherence, and diagnostic accuracy using artificial intelligence models. Digital and behavioural strategies showed promising trends, although long-term validation and scalability data were limited. These findings underscore the convergence of prevention-focused frameworks and technology-supported care models. Strengthening implementation strategies, harmonising outcome reporting, and prioritising equitable access will be essential for optimising future pediatric health systems.
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BibTeX
@article{kalaivendan2026emerging,
title = {{Emerging Trends in Pediatric Disease Management and Preventive Care: A Systematic Review.}},
author = {Aravindan Kalaivendan and Thiyagaraajan Visveswaran and Suvadha Krishnan and Lasya Marupudi and Ashish Kumar Shukla and Jacqueline A Shah},
journal = {Cureus},
year = {2026},
month = sep,
doi = {10.7759/cureus.117058},
url = {https://europepmc.org/article/MED/42953538},
note = {CC BY},
}
RIS
TY - JOUR
TI - Emerging Trends in Pediatric Disease Management and Preventive Care: A Systematic Review.
AU - Aravindan Kalaivendan
AU - Thiyagaraajan Visveswaran
AU - Suvadha Krishnan
AU - Lasya Marupudi
AU - Ashish Kumar Shukla
AU - Jacqueline A Shah
PY - 2026
DA - 2026/09/28
JO - Cureus
DO - 10.7759/cureus.117058
UR - https://europepmc.org/article/MED/42953538
AB - Child health systems are undergoing rapid transformation driven by biomedical innovation, digital integration, and strengthened preventive strategies. Over the past decade, advances in vaccination, pharmacological therapies, digital monitoring, artificial intelligence-assisted diagnostics, and school-based health programs have reshaped pediatric care delivery. Despite expanding technological capacity and structured prevention models, evidence remains fragmented across clinical, behavioural, and diagnostic domains. Long-term effectiveness, sustainability, and equitable implementation of emerging tools remain insufficiently synthesised within a unified framework. This systematic review synthesises contemporary evidence published between 2015 and 2025 to examine evolving approaches to pediatric disease management and prevention. A structured protocol guided database searches, study selection, and quality appraisal. Randomised controlled trials, cluster trials, feasibility studies, and diagnostic accuracy studies involving pediatric populations were included. Risk of bias was assessed using validated appraisal frameworks appropriate to the study design. Ten studies met the eligibility criteria. Interventions demonstrated measurable improvements in vaccine efficacy, respiratory infection reduction, obesity-related outcomes, injury prevention, asthma adherence, and diagnostic accuracy using artificial intelligence models. Digital and behavioural strategies showed promising trends, although long-term validation and scalability data were limited. These findings underscore the convergence of prevention-focused frameworks and technology-supported care models. Strengthening implementation strategies, harmonising outcome reporting, and prioritising equitable access will be essential for optimising future pediatric health systems.
SN - 2168-8184
ER -