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Identifying Children with Special Health Care Needs Using Medicaid Data in New York State Medicaid Managed Care
Lauren S Miller1, Meng Wu1, Anne M Schettine1
1New York State Department of Health, Office of Quality and Patient Safety, Albany, NY.
Insights
A new risk score method accurately identifies children with special health care needs (CSHCN) in Medicaid Managed Care. This tool aids in monitoring care quality for this vulnerable population.
Area of Science:
- Health Services Research
- Pediatric Health
- Health Informatics
Background:
- Identifying children with special health care needs (CSHCN) is essential for assessing healthcare quality disparities.
- Medicaid Managed Care serves a significant population of children, necessitating effective identification methods for CSHCN.
Purpose of the Study:
- To develop and evaluate a novel method for classifying CSHCN within the New York State (NYS) Medicaid Managed Care population.
- To enhance the ability to monitor healthcare quality for children with special health care needs.
Main Methods:
- Utilized secondary data analysis of NYS Medicaid administrative data and the Children with Chronic Conditions (CCC) Screener.
- Developed a risk score using Medicaid administrative data to assess the likelihood of special needs.
- Established a cut point to differentiate between children with and without special needs, validating against the CCC Screener as the gold standard.
Main Results:
- The developed risk score method demonstrated good diagnostic accuracy in identifying CSHCN.
- Sensitivity was 75%, correctly classifying the majority of CSHCN.
- Specificity was 79%, correctly classifying the majority of children without special needs, with an Area Under the Curve (AUC) of 0.77.
Conclusions:
- The new method effectively identifies CSHCN within the NYS Medicaid Managed Care population.
- This tool will support the state in monitoring the quality of care provided to this vulnerable group.
- Accurate identification of CSHCN is foundational for targeted quality improvement initiatives.
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.
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