Literature DB >> 29210142

Internal validation of Medicaid Analytic eXtract (MAX) data capture for comprehensive managed care plan enrollees from 2007 to 2010.

Yan Li1, Yanmin Zhu1, Chao Chen1, Xi Wang1, Yoonyoung Choi1, Carl Henriksen1, Almut G Winterstein1,2.   

Abstract

PURPOSE: Because of concerns over incomplete medical encounter capture in Medicaid capitated comprehensive managed care (CMC) plans, researchers have traditionally confined analyses to fee-for-service (FFS) enrollees. We aimed to evaluate the usability of data for CMC enrollees in Medicaid Analytic eXtract (MAX) files for 29 states from 2007 to 2010.
METHODS: We applied 7 measures to MAX inpatient, other therapy, and prescription drug files for each state and study year. Four measures were based on "connectivity" criteria where we expected use of a select essential service to be closely connected to another, resulting in "service pairs." Three measures were based on "continuity" criteria where we expected patients to continue chronically used services or treatments when they switched enrollment from FFS to CMC plans. High proportions of continuity and comparable proportions of patients with complete service pairs relative to FFS enrollees may suggest complete data capture for CMC enrollees. Data of states that met preset criteria were considered usable for research and policy analyses.
RESULTS: The completeness of CMC enrollees' data in MAX varied by states. Among 22 states having at least 5% CMC plan enrollment, data of 12 states met our quality standard and were considered usable starting in 2007. Four states had usable data starting in 2008 and one in 2009.
CONCLUSIONS: The completeness of CMC enrollees' data in MAX improved over the study period. In 17 out of 29 states, CMC enrollees' data in selected years were comparable with FFS enrollees and can be considered for use in analysis.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Centers for Medicare and Medicaid Services (USA); Medicaid; data accuracy; encounter data; fee-for-service plans; managed care programs; pharmacoepidemiology; validation studies

Mesh:

Year:  2017        PMID: 29210142     DOI: 10.1002/pds.4365

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  4 in total

1.  Effectiveness of mandatory peer review to reduce antipsychotic prescriptions for Medicaid-insured children.

Authors:  Ayse Akincigil; Thomas I Mackie; Sharon Cook; Robert J Hilt; Stephen Crystal
Journal:  Health Serv Res       Date:  2020-06-21       Impact factor: 3.402

2.  An Evaluation of the Effect of the OxyContin Reformulation on Unintentional Fatal and Nonfatal Overdose.

Authors:  Daniel C Beachler; Kelsey Hall; Renu Garg; Geetanjoli Banerjee; Ling Li; Luke Boulanger; Huseyin Yuce; Alexander M Walker
Journal:  Clin J Pain       Date:  2022-06-01       Impact factor: 3.423

3.  Validation of mother-infant linkage using Medicaid Case ID variable within the Medicaid Analytic eXtract (MAX) database.

Authors:  Caitlin A Knox; Christian Hampp; Kristin Palmsten; Yanmin Zhu; Soko Setoguchi; Babette Brumback; Richard Segal; Almut G Winterstein
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-07-09       Impact factor: 2.890

4.  A national assessment of legacy versus new generation Medicaid data.

Authors:  Jessy K Nguyen; Prachi Sanghavi
Journal:  Health Serv Res       Date:  2022-02-21       Impact factor: 3.734

  4 in total

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