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.
Objective:
To assess 2 established methods of identifying children with special health care needs (CSHCN) within a health plan population for intensified service coordination.
Methods:
The tools tested were the Questionnaire for Identifying Children With Chronic Conditions (QuICCC) and the Clinical Risk Grouper (CRG) software. The QuICCC was administered by telephone to the parents of 517 children. The CRG software tool was then applied to the health plan database. The accuracy of identifying the target population was assessed by a single trained reviewer by comparison with the comprehensive medical record.
Results:
According to the QuICCC, 37.1% of the parents surveyed had CSHCN. According to the CRG, 11% of the health plan's pediatric population was categorized as CSHCN. The medical record review agreed with overall QuICCC findings in 53% to 61% of cases and overall CRG findings in 66% to 73% of cases.
Conclusions:
Administering the QuICCC was a time- and labor-intensive endeavor with a relatively low overall level of sensitivity. The CRG was less labor intensive with slightly higher sensitivity. Identifying the target population in an effective and efficient manner remains a challenge for health plans.
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