Identification of children with special health care needs within a managed care setting

Sharon J Rolnick1, Sharon Kaufer Flores, Kristi J Paulsen

  • 1HealthPartners Research Foundation, Bloomington, Minn, USA. cheri.j.rolnick@healthpartners.com

Insights

Identifying children with special health care needs (CSHCN) is challenging. The Clinical Risk Grouper (CRG) software showed slightly higher sensitivity and was less labor-intensive than the Questionnaire for Identifying Children With Chronic Conditions (QuICCC).

Area of Science:

  • Health Services Research
  • Pediatric Health
  • Healthcare Management

Background:

  • Effective identification of Children With Special Health Care Needs (CSHCN) is crucial for targeted service coordination within health plans.
  • Existing methods for identifying CSHCN require rigorous evaluation for efficiency and accuracy.

Purpose of the Study:

  • To compare the effectiveness of two established methods, the Questionnaire for Identifying Children With Chronic Conditions (QuICCC) and Clinical Risk Grouper (CRG) software, for identifying CSHCN.
  • To assess these methods within a health plan population to optimize intensified service coordination.

Main Methods:

  • The study involved 517 children; parents completed the QuICCC via telephone.
  • The CRG software was applied to the health plan's pediatric database.
  • A comprehensive medical record review by a trained reviewer served as the benchmark for accuracy assessment.

Main Results:

  • The QuICCC identified 37.1% of surveyed parents reporting CSHCN, while CRG categorized 11% of the pediatric population as CSHCN.
  • Medical record review concordance was 53%-61% for QuICCC and 66%-73% for CRG.
  • CRG demonstrated higher sensitivity and lower labor intensity compared to QuICCC.

Conclusions:

  • The QuICCC is a time- and labor-intensive method with relatively lower sensitivity for identifying CSHCN.
  • The CRG software offers a more efficient approach with slightly improved sensitivity.
  • Developing effective and efficient strategies for identifying CSHCN remains a significant challenge for health plans.
Abstract

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