Evidence map›Paper›PMID 34991638›Full record

ArticleImplementation science : IS2022

Translating Medicaid policy into practice: policy implementation strategies from three US states' experiences enhancing substance use disorder treatment.

Erika L Crable, Allyn Benintendi, David K Jones, Alexander Y Walley, Jacqueline Milton Hicks, Mari-Lynn Drainoni

Abstract read
In one paragraph

Article in Implementation science : IS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Erika L CrableChild and Adolescent Services Research Center, Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, San Diego, CA, 92093, USA. ecrable@health.ucsd.edu.ORCID 0000-0002-2605-5339
Allyn BenintendiClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
David K JonesDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, MA, USA.
Alexander Y WalleyClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Jacqueline Milton HicksDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Mari-Lynn DrainoniDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, MA, USA.

Funding

The Lifespan/Brown Criminal Justice Research Program on Substance Use and HIVR25DA037190 · NIDA · MIRIAM HOSPITAL · PI CURT G BECKWITH · 2014 to 2026
$3.5M
NIDA NIH HHS R25 DA037190
6 · The paper itself

Abstract

backgroundDespite the important upstream impact policy has on population health outcomes, few studies in implementation science in health have examined implementation processes and strategies used to translate state and federal policies into accessible services in the community. This study examines the policy implementation strategies and experiences of Medicaid programs in three US states that responded to a federal prompt to improve access to evidence-based practice (EBP) substance use disorder (SUD) treatment.

methodsThree US state Medicaid programs implementing American Society of Addiction Medicine (ASAM) Criteria-driven SUD services under Section 1115 waiver authority were used as cases. We conducted 44 semi-structured interviews with Medicaid staff, providers and health systems partners in California, Virginia, and West Virginia. Interviews were triangulated with document review of state readiness and implementation plans. The Exploration, Preparation, Implementation, Sustainment Framework (EPIS) guided qualitative theme analysis. The Expert Recommendations for Implementing Change and Specify It criteria were used to create a taxonomy of policy implementation strategies used by policymakers to promote providers' uptake of statewide EBP SUD care continuums.

resultsFour themes describe states' experiences and outcomes implementing a complex EBP SUD treatment policy directive: (1) Medicaid agencies adapted their inner/outer contexts to align with EBPs and adapted EBPs to fit their local context; (2) enhanced financial reimbursement arrangements were inadequate bridging factors to achieve statewide adoption of new SUD services; (3) despite trainings, service providers and managed care organizations demonstrated poor fidelity to the ASAM Criteria; and (4) successful policy adoption at the state level did not guarantee service providers' uptake of EBPs. States used 29 implementation strategies to implement EBP SUD care continuums. Implementation strategies were used in the Exploration (n=6), Preparation (n=10), Implementation (n=19), and Sustainment (n=6) phases, and primarily focused on developing stakeholder interrelationships, evaluative and iterative approaches, and financing.

conclusionsThis study enhances our understanding of statewide policy implementation outcomes in low-resource, public healthcare settings. Themes highlight the need for additional pre-implementation and sustainment focused implementation strategies. The taxonomy of detailed policy implementation strategies employed by policymakers across states should be tested in future policy implementation research.

Indexed as

MedicaidSubstance-Related DisordersEvidence-Based PracticeHumansImplementation SciencePolicyUnited StatesHealth policyImplementation scienceMedicaidPolicy implementationPublic policyQualitativeSubstance use disorder

Identifiers

PMID34991638
PMCPMC8734202

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.