Evidence map›Paper›PMID 31722738›Full record

ArticleImplementation science : IS2019

The role of the outer setting in implementation: associations between state demographic, fiscal, and policy factors and use of evidence-based treatments in mental healthcare.

Eric J Bruns, Elizabeth M Parker, Spencer Hensley, Michael D Pullmann, Philip H Benjamin, Aaron R Lyon, Kimberly E Hoagwood

Abstract read
In one paragraph

Article in Implementation science : IS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  12. Implementing Reform: Approaches to Alter the Use of Local Jail for People with Behavioral Health Conditions.International journal of offender therapy and comparative criminology · 2024
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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

7 authors.

Eric J BrunsUniversity of Washington, 6200 NE 74th Street, Building 29, Suite 110, Seattle, WA, 98115, USA. ebruns@uw.edu.ORCID 0000-0001-9443-1968
Elizabeth M ParkerUniversity of Washington, 6200 NE 74th Street, Building 29, Suite 110, Seattle, WA, 98115, USA.
Spencer HensleyUniversity of Washington, 6200 NE 74th Street, Building 29, Suite 110, Seattle, WA, 98115, USA.
Michael D PullmannUniversity of Washington, 6200 NE 74th Street, Building 29, Suite 110, Seattle, WA, 98115, USA.
Philip H BenjaminUniversity of Washington, 6200 NE 74th Street, Building 29, Suite 110, Seattle, WA, 98115, USA.
Aaron R LyonUniversity of Washington, 6200 NE 74th Street, Building 29, Suite 110, Seattle, WA, 98115, USA.
Kimberly E HoagwoodNew York University, One Park Avenue at East 33rd, 7-310, New York, NY, 10016, USA.

Funding

Research Methods CoreP30MH090322 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCKAY, MARY MCKERNAN · 2011 to 2015
$8.1M
National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOAGWOOD, KIMBERLY E. · 2019 to 2022
$6.9M
NIMH NIH HHS P30 MH090322NIMH NIH HHS P50 MH113662
6 · The paper itself

Abstract

backgroundDespite consistent recognition of their influence, empirical study of how outer setting factors (e.g., policies, financing, stakeholder relationships) influence public systems' investment in and adoption of evidence-based treatment (EBT) is limited. This study examined associations among unmodifiable (e.g., demographic, economic, political, structural factors) and modifiable (e.g., allocation of resources, social processes, policies, and regulations) outer setting factors and adoption of behavioral health EBT by US states.

methodsMultilevel models examined relationships between state characteristics, an array of funding and policy variables, and state adoption of behavioral health EBTs for adults and children across years 2002-2012, using data from the National Association for State Mental Health Program Directors Research Institute and other sources.

resultsSeveral unmodifiable state factors, including per capita income, controlling political party, and Medicaid expansion, predicted level of state fiscal investments in EBT. By contrast, modifiable factors, such as interagency collaboration and investment in research centers, were more predictive of state policies supportive of EBT. Interestingly, level of adult EBT adoption was associated with state fiscal supports for EBT, while child EBT adoption was predicted more by supportive policies. State per capita debt and direct state operation of services (versus contracting for services) predicted both child and adult EBT adoption.

conclusionsState-level EBT adoption and associated implementation support is associated with an interpretable array of policy, financing, and oversight factors. Such information expands our knowledge base of the role of the outer setting in implementation and may provide insight into how best to focus efforts to promote EBT for behavioral health disorders.

Indexed as

Diffusion of InnovationCommunity Mental Health ServicesEvidence-Based PracticeFemaleHumansMalePolicyPoliticsPublic SectorResidence CharacteristicsSocioeconomic FactorsUnited StatesEvidence-based treatmentsImplementation researchImplementation strategiesMental healthOuter settingPublic mental health systemsState policy

Identifiers

PMID31722738
PMCPMC6854683

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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.