Population child health: understanding and addressing complex health needs.
Algorithms
Child Health
/ standards
Child, Preschool
Chronic Disease
/ epidemiology
Delivery of Health Care
/ methods
Delivery of Health Care, Integrated
/ organization & administration
Family
Health Services Needs and Demand
/ organization & administration
Humans
Interdisciplinary Communication
Online Systems
/ instrumentation
Primary Health Care
/ standards
comm child health
general paediatrics
health service
health services research
Journal
Archives of disease in childhood
ISSN: 1468-2044
Titre abrégé: Arch Dis Child
Pays: England
ID NLM: 0372434
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
pubmed:
15
5
2020
medline:
21
5
2021
entrez:
15
5
2020
Statut:
ppublish
Résumé
Advances in paediatric care mean that more children with complex medical problems (heart disease, neurodevelopmental problems and so on) are surviving their early years. This has important implications for the design and delivery of healthcare given their extensive multidisciplinary requirements and susceptibility to poor outcomes when not optimally managed. Importantly, their medical needs must also be understood and addressed within the context of the child and family's life circumstances. There is growing recognition that many other factors contribute to a child's complex health needs (CHNs), for example, family problems, fragmentation of health and care provision, psychological difficulties or social issues.To facilitate proactive care for these patients, we must develop accurate ways to identify them. Whole Systems Integrated Care-an online platform that integrates routinely collected data from primary and secondary care-offers an example of how to do this. An algorithm applied to this data identifies children with CHNs from the entire patient population. When tested in a large inner-city GP practice, this analysis shows good concordance with clinical opinion and identifies complex children in the population to a much higher proportion than expected. Ongoing refinement of these data-driven processes will allow accurate quantification and identification of need in local populations, thus aiding the development of tailored services.
Identifiants
pubmed: 32404440
pii: archdischild-2019-317373
doi: 10.1136/archdischild-2019-317373
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
387-391Informations de copyright
© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: REK is an associate editor for BMJ Leader.