Identifying Children with Special Health Care Needs Using Medicaid Data in New York State Medicaid Managed Care.

OBJECTIVE

The ability to identify children with special health care needs (CSHCN) is crucial to evaluate disparities in the quality of health care for children in Medicaid Managed Care. We developed and assessed the accuracy of a new method to classify CSHCN.

DATA SOURCES

Secondary data analysis was conducted using NYS Medicaid administrative data and the Children with Chronic Conditions Screener (CCC Screener).

STUDY DESIGN

This study included 5,907 NYS Medicaid beneficiaries (17 years old or younger) whose parents completed the CCC Screener in 2014. Medicaid administrative data were used to create a risk score to assess the risk of special needs, and a cut point was identified to differentiate between children with versus without special needs. Diagnostic accuracy of the method was assessed using sensitivity and specificity analyses.

PRINCIPAL FINDINGS

Applying the CCC Screener as the "gold standard," the risk score correctly classified the majority of CSHCN as positive (sensitivity = 75 percent) and the majority of the children without special needs as negative (specificity = 79 percent). This method demonstrated decent diagnostic ability (AUC = 0.77).

CONCLUSIONS

Our method can identify CSHCN in the NYS Medicaid Managed Care population and will help the State monitor the quality of care for this vulnerable population.