Evidence map›Paper›PMID 35243638›Full record

ArticleHealth services research2022

Simulating the role of knowledge brokers in policy making in state agencies: An agent-based model.

Todd Combs, Katherine L Nelson, Douglas Luke, F Hunter McGuire, Gracelyn Cruden, Rosie Mae Henson, Danielle R Adams, Kimberly Eaton Hoagwood, Jonathan Purtle

Open access · hybridAbstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  12. Translating research into policy and action.Health services research · 2022
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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

9 authors at 5 institutions in 1 country.

Todd CombsCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.
Katherine L NelsonMerck & Co., Inc, Kenilworth, New Jersey, USA.
Douglas LukeCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.
F Hunter McGuireBrown School, Washington University in St. Louis, St. Louis, Missouri, USA.
Gracelyn CrudenOregon Social Learning Center, Eugene, Oregon, USA.
Rosie Mae HensonDepartment of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
Danielle R AdamsThe Crown Family School of Social Work, Policy, and Practice, Chicago, Illinois, USA.ORCID 0000-0002-3892-989X
Kimberly Eaton HoagwoodDepartment of Child and Adolescent Psychiatry, New York University Langone Health, New York, New York, USA.
Jonathan PurtleDepartment of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6908-5944
Washington University in St. Louis · USDrexel University · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USNYU Langone Health · USOregon Social Learning Center · US

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOAGWOOD, KIMBERLY E., MCKAY, MARY MCKERNAN · 2019 to 2022
$6.9M
Understanding Multilevel Factors that Contribute to Utilization of Mental Health Services in ChildrenF31MH122155 · NIMH · DREXEL UNIVERSITY · PI NELSON, KATHERINE LYNN · 2020 to 2020
$39k
NIDDK NIH HHS P30 DK092950NIMH NIH HHS F31 MH122155NIMH NIH HHS P50 MH113662
6 · The paper itself

Abstract

objectiveTo model children's mental health policy making dynamics and simulate the impacts of knowledge broker interventions. DATA SOURCES: Primary data from surveys (n = 221) and interviews (n = 64) conducted in 2019-2021 with mental health agency (MHA) officials in state agencies. STUDY

designA prototype agent-based model (ABM) was developed using the PARTE (Properties, Actions, Rules, Time, Environment) framework and informed through primary data collection. In each simulation, a policy is randomly generated (salience weights: cost, contextual alignment, and strength of evidence) and discussed among agents. Agents are MHA officials and heterogenous in their properties (policy making power and network influence) and policy preferences (based on salience weights). Knowledge broker interventions add agents to the MHA social network who primarily focus on the policy's research evidence. DATA COLLECTION/EXTRACTION

methodsA sequential explanatory mixed method approach was used. Descriptive and regression analyses were used for the survey data and directed content analysis was used to code interview data. Triangulated results informed ABM development. In the ABM, policy makers with various degrees of decision influence interact in a scale-free network before and after knowledge broker interventions. Over time, each decides to support or oppose a policy proposal based on policy salience weights and their own properties and interactions. The main outcome is an agency-level decision based on policy maker support. Each intervention and baseline simulation runs 250 times across 50 timesteps. PRINCIPAL

findingsSurveys and interviews revealed that barriers to research use could be addressed by knowledge brokers. Simulations indicated that policy decision outcomes varied by policy making context within agencies.

conclusionsThis is the first application of ABM to evidence-informed mental health policy making. Results suggest that the presence of knowledge brokers can: (1) influence consensus formation in MHAs, (2) accelerate policy decisions, and (3) increase the likelihood of evidence-informed policy adoption.

Indexed as

KnowledgePolicy MakingAdministrative PersonnelChildDecision MakingHealth PolicyHumansPolicyState Governmenthealth policy/politics/law/regulationmental healthstate health policies

Identifiers

PMID35243638
PMCPMC9108216
OpenAlexW4214916978

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.