Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy.

Health Information Exchange Medicaid Quality Improvement Research Networks

Journal

EGEMS (Washington, DC)
ISSN: 2327-9214
Titre abrégé: EGEMS (Wash DC)
Pays: England
ID NLM: 101629606

Informations de publication

Date de publication:
05 Aug 2019
Historique:
entrez: 14 8 2019
pubmed: 14 8 2019
medline: 14 8 2019
Statut: epublish

Résumé

As states have embraced additional flexibility to change coverage of and payment for Medicaid services, they have also faced heightened expectations for delivering high-value care. Efforts to meet these new expectations have increased the need for rigorous, evidence-based policy, but states may face challenges finding the resources, capacity, and expertise to meet this need. By describing state-university partnerships in more than 20 states, this commentary describes innovative solutions for states that want to leverage their own data, build their analytic capacity, and create evidence-based policy. From an integrated web-based system to improve long-term care to evaluating the impact of permanent supportive housing placements on Medicaid utilization and spending, these state partnerships provide significant support to their state Medicaid programs. In 2017, these partnerships came together to create a distributed research network that supports multi-state analyses. The Medicaid Outcomes Distributed Research Network (MODRN) uses a common data model to examine Medicaid data across states, thereby increasing the analytic rigor of policy evaluations in Medicaid, and contributing to the development of a fully functioning Medicaid innovation laboratory.

Identifiants

pubmed: 31406698
doi: 10.5334/egems.311
pmc: PMC6688544
doi:

Types de publication

Journal Article

Langues

eng

Pagination

41

Déclaration de conflit d'intérêts

The authors have no competing interests to declare.

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Auteurs

Lauren Adams (L)

AcademyHealth, US.

Susan Kennedy (S)

AcademyHealth, US.

Lindsay Allen (L)

West Virginia University School of Public Health, US.

Andrew Barnes (A)

Virginia Commonwealth University, US.

Tom Bias (T)

West Virginia University School of Public Health, US.

Dushka Crane (D)

The Ohio State University, US.

Paul Lanier (P)

University of North Carolina Chapel Hill, US.

Rachel Mauk (R)

The Ohio State University, US.

Shamis Mohamoud (S)

The Hilltop Institute, US.

Nathan Pauly (N)

West Virginia University School of Public Health, US.

Jeffrey Talbert (J)

University of Kentucky College of Pharmacy, US.

Cynthia Woodcock (C)

The Hilltop Institute, US.

Kara Zivin (K)

University of Michigan Medical School, US.

Julie Donohue (J)

University of Pittsburgh Graduate School of Public Health, US.

Classifications MeSH