Abstract
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.
Subject
Pediatrics, Perinatology, and Child Health
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