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

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...

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Autores principales: Adams, Lauren, Kennedy, Susan, Allen, Lindsay, Barnes, Andrew, Bias, Tom, Crane, Dushka, Lanier, Paul, Mauk, Rachel, Mohamoud, Shamis, Pauly, Nathan, Talbert, Jeffrey, Woodcock, Cynthia, Zivin, Kara, Donohue, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688544/
https://www.ncbi.nlm.nih.gov/pubmed/31406698
http://dx.doi.org/10.5334/egems.311
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author Adams, Lauren
Kennedy, Susan
Allen, Lindsay
Barnes, Andrew
Bias, Tom
Crane, Dushka
Lanier, Paul
Mauk, Rachel
Mohamoud, Shamis
Pauly, Nathan
Talbert, Jeffrey
Woodcock, Cynthia
Zivin, Kara
Donohue, Julie
author_facet Adams, Lauren
Kennedy, Susan
Allen, Lindsay
Barnes, Andrew
Bias, Tom
Crane, Dushka
Lanier, Paul
Mauk, Rachel
Mohamoud, Shamis
Pauly, Nathan
Talbert, Jeffrey
Woodcock, Cynthia
Zivin, Kara
Donohue, Julie
author_sort Adams, Lauren
collection PubMed
description 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.
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spelling pubmed-66885442019-08-12 Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy Adams, Lauren Kennedy, Susan Allen, Lindsay Barnes, Andrew Bias, Tom Crane, Dushka Lanier, Paul Mauk, Rachel Mohamoud, Shamis Pauly, Nathan Talbert, Jeffrey Woodcock, Cynthia Zivin, Kara Donohue, Julie EGEMS (Wash DC) Commentary/Editorial 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. Ubiquity Press 2019-08-05 /pmc/articles/PMC6688544/ /pubmed/31406698 http://dx.doi.org/10.5334/egems.311 Text en Copyright: © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Commentary/Editorial
Adams, Lauren
Kennedy, Susan
Allen, Lindsay
Barnes, Andrew
Bias, Tom
Crane, Dushka
Lanier, Paul
Mauk, Rachel
Mohamoud, Shamis
Pauly, Nathan
Talbert, Jeffrey
Woodcock, Cynthia
Zivin, Kara
Donohue, Julie
Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
title Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
title_full Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
title_fullStr Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
title_full_unstemmed Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
title_short Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
title_sort innovative solutions for state medicaid programs to leverage their data, build their analytic capacity, and create evidence-based policy
topic Commentary/Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688544/
https://www.ncbi.nlm.nih.gov/pubmed/31406698
http://dx.doi.org/10.5334/egems.311
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