Assessing the usability of the MAX 2007 inpatient and prescription encounter data for enrollees in comprehensive managed care
- Collection:
- Health Policy and Services Research
- Series Title(s):
- MAX Medicaid policy brief (Mathematica Policy Research)
- Author(s):
- Dodd, Allison Hedley, author Nysenbaum, Jessica, author Zlatinov, Ashley, author
- Contributor(s):
- Mathematica Policy Research, Inc.
- Publication:
- Princeton, N.J. : Mathematica Policy Research, Inc., April 2012
- Language(s):
- English
- Format:
- Text
- Subject(s):
- Databases as Topic -- statistics & numerical data Insurance Claim Review Insurance, Pharmaceutical Services -- statistics & numerical data Managed Care Programs -- statistics & numerical data Medicaid -- statistics & numerical data Adult Child Disabled Persons Information Systems -- statistics & numerical data State Government Humans United States
- Genre(s):
- Technical Report
- Abstract:
- As growing numbers of Medicaid enrollees receive health benefits through comprehensive managed care, the researchers and policymakers seeking to understand the service use of these enrollees must rely on encounter data that states receive from managed care plans. Although encounter data provide insight into the service use of comprehensive managed care enrollees, not all states report encounter data, and little is known about the data's usability. In this issue brief, we assess the availability, completeness and quality of the inpatient and prescription-drug encounter data in the Medicaid Analytical eXtract (MAX) system in order to judge the data's usability.
- Copyright:
- Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY-NC-ND license. (More information)
- Extent:
- 1 online resource (1PDF file (9 pages))
- Illustrations:
- Illustrations
- NLM Unique ID:
- 101586580 (See catalog record)
- Permanent Link:
- http://resource.nlm.nih.gov/101586580