Mathematica developed a methodology to produce estimates of Medicaid expenditures for substance abuse treatment and then applied that methodology to develop estimates for 2008 based on Medicaid Analytic eXtract (MAX) data.
- Program evaluation
- Medicaid and CHIP
Deo Bencio has more than 30 years of programming and analysis experience. He designs and constructs health-care-related analysis files, primarily from Medicare and Medicaid databases.
Bencio, who joined Mathematica in 1995, directs the National Medicaid Statistical Information System (MSIS) project, which involves quality reviews of state data as well as technical assistance. He is also a task leader and senior systems analyst for the Medicaid Analytic eXtract (MAX) and Beta-MAX Data Production project, developing and implementing business rules for adjusting claims data. He has played a key role in projects that use Medicaid claims data to examine the use of prescription drugs as well as long-term care services. For the Centers for Medicare & Medicaid Services’ evaluation of the Children’s Health Insurance Program, he was the lead programmer for the analysis of enrollment and utilization patterns.
Bencio held various technical positions at the MEDSTAT Group before joining Mathematica. He holds a bachelor’s degree in computer information systems from the University of Maryland.
Using State Data to Paint a National Picture: MAX and Alpha-MAX Data Production
Mathematica produces Medicaid administrative files, including MAX and Alpha-MAX, specifically designed for researchers. MAX contains annual, person-level data files containing Medicaid eligibility, service utilization, and payments, which are derived from the Medicaid Statistical Information System files...
HCIA Evaluations: Behavioral Health/Substance Abuse
Mathematica evaluated the impacts of projects implemented by the 10 HCIA awardees focused on mental health and substance abuse services. These awardee demonstrations addressed a wide array of interventions and targeted different subgroups within this broad priority population.