How are children with medical complexity being identified in epidemiological studies? A systematic review

Patrícia Vicente Oliveira1, Carla C Enes2, Luciana B Nucci3

  • 1Postgraduate Program in Health Sciences, Center for Life Sciences, Pontifical Catholic University of Campinas, Av. John Boyd Dunlop s/n, Campinas, CEP 13060-904, Brazil. patricia_vicente.silva@hotmail.com.

Insights

This study reviewed definitions for children with medical complexity (CMC), finding diagnostic codes most common but limited. Improved health systems are needed for better CMC care.

Area of Science:

  • Pediatrics
  • Health Services Research
  • Epidemiology

Background:

  • Children with medical complexity (CMC) lack a standardized definition, impacting research and care.
  • Epidemiological studies utilize diverse classification methods for identifying CMC.
  • This review investigates existing definitions of CMC in scientific literature.

Approach:

  • Systematic review of studies published between 2015-2020 using PRISMA methodology.
  • Searched major databases including PubMed, SciELO, LILACS, and EMBASE.
  • Extracted data on study design, population, definitions used, and limitations.

Key Points:

  • Diagnostic codes, particularly ICD-9 and ICD-10, are the most frequent methods for defining CMC (35.7% and 21.4% respectively).
  • Medical complexity algorithms (16.7%) and risk rating systems (7.1%) represent alternative classification approaches.
  • Limitations exist in the current definitions, particularly those relying on diagnostic codes.

Conclusions:

  • Diagnostic code-based definitions for CMC are prevalent but have inherent limitations.
  • Accurate characterization of the CMC population requires enhanced health information systems.
  • Improving data systems is crucial for delivering comprehensive and effective care to CMC.
Abstract

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