The Children with Disabilities Algorithm (CWDA) is a claims-based algorithm for identifying International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) codes with a high likelihood of indicating children with disabilities (CWD). Funded through the Pediatric Quality Measures Program (PQMP) by the federal Agency for Healthcare Research and Quality (AHRQ) and the Centers for Medicare & Medicaid Services (CMS), the Center of Excellence for Pediatric Quality Measurement (CEPQM) developed and triangulated the algorithm to allow for the identification of CWD to assess care experience and quality and to compare care delivered to CWD to that of children without disabilities.
CWD are a distinct subset of children with long-term functional impairments who have specific needs within the health care system. Current studies based on nationally-representative parent surveys indicate that the prevalence of CWD in the United States is 5-8% and rising. Federal spending on Medicaid-insured CWD as well as parents’ out-of-pockets expenses on health care services are also increasing. Studies show that CWD use certain healthcare services up to 8 times more frequently than children without disabilities, but little is known about the quality of the care CWD receive. CWDA is an important first step towards being able to rigorously assess care quality for CWD by being able to identify CWD in large databases.
For more information about the CWDA development process and where to download the algorithm, please see: Development and Content.
CWDA Development Core Team
Alyna Chien, MD, MS (Measure Co-Leader; Boston Children’s Hospital & Harvard Medical School)
Karen Kuhlthau, PhD (Measure Co-Leader; Massachusetts General Hospital & Harvard Medical School)
Jessica Quinn, MS (Boston Children’s Hospital)
Mark Schuster, MD, PhD (Principal Investigator; Boston Children’s Hospital & Harvard Medical School)
Sara Toomey, MD, MPH, MPhil, MSc (Boston Children’s Hospital & Harvard Medical School)