Improving racial equity in opioid use disorder treatment in Medicaid
改善医疗补助中阿片类药物使用障碍治疗的种族平等
基本信息
- 批准号:10683980
- 负责人:
- 金额:$ 142.53万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2026-07-31
- 项目状态:未结题
- 来源:
- 关键词:AccountingAddressAdoptedAffectAutomobile DrivingBenchmarkingBlack PopulationsBlack raceBuprenorphineCOVID-19 pandemicCharacteristicsContractsCriminal JusticeDataDeath RateDisparityDrug PrescriptionsEquityEthnic OriginEthnic PopulationEthnic equityEvidence based treatmentFormulationFundingGenderGeographic LocationsGeographyGoalsHealthcareHispanic PopulationsHousingImprove AccessIncentivesIndividualInequityInfrastructureInvestmentsKnowledgeLearningLicensingLinguisticsManaged CareManaged Care ProgramsMarketingMeasurementMeasuresMedicaidMethadoneMinorityNaltrexoneNational Institute of Drug AbuseOutcomeOutcome StudyOwnershipPatientsPerformancePersonsPoliciesPolicy DevelopmentsPolicy MakerPositioning AttributeProviderQuality of CareRaceRacial EquityResearchResearch PersonnelRoleServicesSingle-Payer SystemSocial WorkSourceStructural RacismSystemTimeTravelUniversitiesVariantbarrier to carebehavioral healthdevelopment policydifferences in accessethnic differenceethnic disparityethnic minority populationfinancial incentiveimprovedmedical specialtiesmedication for opioid use disordermortalitymultilevel analysisopioid epidemicopioid overdoseopioid treatment programopioid use disorderoverdose deathoverdose preventionpaymentprevention serviceprogramsprovider networksracial differenceracial disparityracial minority populationracial populationresidential segregation
项目摘要
Abstract
Access to medications for opioid use disorder (MOUD) is not equitable. Black and Hispanic individuals are
substantially less likely to receive MOUD and other overdose prevention services. The overdose death rate
has risen nearly twice as fast for Black individuals as for White individuals in recent years, a disparity that
appears to have widened during the COVID-19 pandemic. Racial/ethnic inequities in receipt of MOUD are
rooted in the structural racism ingrained in policies governing healthcare, housing, social services, criminal
justice and other systems. As the largest single payer for MOUD and a key source of coverage for racial/ethnic
minority groups, Medicaid is well-positioned to address inequities in MOUD. Although they have not done so to
date, Medicaid agencies can adopt policies to alter (a) financial incentives for MOUD providers, and (b)
contracts with managed care plans to improve equity in MOUD. Medicaid programs could institute
requirements for provider networks; invest in building capacity for minority-serving Medicaid providers to
deliver MOUD; include equity measures in provider performance measurement; and alter managed care
contracts to incentivize plans to address inequities in MOUD. There is, however, little evidence on which of
these levers is most likely to be effective. To inform Medicaid policy development, we harness the Medicaid
Outcomes Distributed Research Network (MODRN), which is made up of university partnerships with Medicaid
agencies in 11 states representing 22% of all US Medicaid enrollees. MODRN is currently funded by NIDA to
study the quality of opioid use disorder treatment in Medicaid and has developed analytic infrastructure to
conduct multi-state analyses of treatment with MOUD in Medicaid. We propose analyses that examine the role
of place, providers, plans and policies in driving racial/ethnic inequities in MOUD. First, we examine
racial/ethnic inequities in geographic access to MOUD providers among Medicaid enrollees. Second, we
examine the contribution of provider- and plan-level factors to racial/ethnic equity in MOUD. Third, we estimate
the association between state policies aimed at (a) changing delivery system reforms, and (b) managed care
contracts, and equity in MOUD. Study outcomes are any use of MOUD and continuity of MOUD, both of which
are associated with reduced mortality. We will use geospatial analyses, multi-level modeling, and difference-in
difference analyses to accomplish our specific aims. Long-standing relationships with state Medicaid officials
allow us to share findings directly with policymakers who can act on them. MODRN facilitates rapid knowledge
transfer from researchers to policymakers, allows state Medicaid agencies to benchmark their performance on
racial/ethnic equity in MOUD against other states, and supports state agencies learning from one another
about the most effective policy levers for improving equity in MOUD.
摘要
项目成果
期刊论文数量(0)
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会议论文数量(0)
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JULIE Marie DONOHUE其他文献
JULIE Marie DONOHUE的其他文献
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{{ truncateString('JULIE Marie DONOHUE', 18)}}的其他基金
Improving racial equity in opioid use disorder treatment in Medicaid
改善医疗补助中阿片类药物使用障碍治疗的种族平等
- 批准号:
10415670 - 财政年份:2022
- 资助金额:
$ 142.53万 - 项目类别:
Examining the quality of opioid use disorder treatment in a Medicaid research network
检查医疗补助研究网络中阿片类药物使用障碍治疗的质量
- 批准号:
9896805 - 财政年份:2019
- 资助金额:
$ 142.53万 - 项目类别:
The Role of Physician Networks in the Adoption of New Prescription Drugs.
医生网络在采用新处方药中的作用。
- 批准号:
8557631 - 财政年份:2013
- 资助金额:
$ 142.53万 - 项目类别:
The Role of Physician Networks in the Adoption of New Prescription Drugs.
医生网络在采用新处方药中的作用。
- 批准号:
8851674 - 财政年份:2013
- 资助金额:
$ 142.53万 - 项目类别:
The Role of Physician Networks in the Adoption of New Prescription Drugs.
医生网络在采用新处方药中的作用。
- 批准号:
8719165 - 财政年份:2013
- 资助金额:
$ 142.53万 - 项目类别:
Influences on Psychiatrist Prescribing of Antipsychotics
对精神科医生开抗精神病药处方的影响
- 批准号:
8233719 - 财政年份:2012
- 资助金额:
$ 142.53万 - 项目类别:
Influences on Psychiatrist Prescribing of Antipsychotics
对精神科医生开抗精神病药处方的影响
- 批准号:
8451415 - 财政年份:2012
- 资助金额:
$ 142.53万 - 项目类别:
Influences on Psychiatrist Prescribing of Antipsychotics
对精神科医生开抗精神病药处方的影响
- 批准号:
8605927 - 财政年份:2012
- 资助金额:
$ 142.53万 - 项目类别:
Impact of Medicare Part D on Racial Disparities in Diabetes Treatment and Outcome
医疗保险 D 部分对糖尿病治疗和结果中种族差异的影响
- 批准号:
7938793 - 财政年份:2009
- 资助金额:
$ 142.53万 - 项目类别:
Impact of Medicare Part D on Racial Disparities in Diabetes Treatment and Outcome
医疗保险 D 部分对糖尿病治疗和结果中种族差异的影响
- 批准号:
7560147 - 财政年份:2009
- 资助金额:
$ 142.53万 - 项目类别:
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