Evidence map›Paper›PMID 33468166›Full record

ArticleImplementation science : IS2021

Determinants of using children's mental health research in policymaking: variation by type of research use and phase of policy process.

Jonathan Purtle, Katherine L Nelson, Sarah Mc Cue Horwitz, Mary M McKay, Kimberly E Hoagwood

Abstract read
In one paragraph

Article in Implementation science : IS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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

5 authors.

Jonathan PurtleDepartment of Health Management & Policy, Drexel University Dornsife School of Public Health, 3215 Market St, Philadelphia, PA, 19104, USA. JPP46@Drexel.edu.ORCID 0000-0001-6908-5944
Katherine L NelsonDepartment of Health Management & Policy, Drexel University Dornsife School of Public Health, 3215 Market St, Philadelphia, PA, 19104, USA.
Sarah Mc Cue HorwitzDepartment of Child and Adolescent Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA.
Mary M McKayBrown School at Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO, 63130, USA.
Kimberly E HoagwoodDepartment of Child and Adolescent Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA.

Funding

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 P50 MH113662NIMH NIH HHS P50MH113662
6 · The paper itself

Abstract

backgroundResearch use in policymaking is multi-faceted and has been the focus of extensive study. However, virtually no quantitative studies have examined whether the determinants of research use vary according to the type of research use or phase of policy process. Understanding such variation is important for selecting the targets of implementation strategies that aim to increase the frequency of research use in policymaking.

methodsA web-based survey of US state agency officials involved with children's mental health policymaking was conducted between December 2019 and February 2020 (n = 224, response rate = 33.7%, 49 states responding (98%), median respondents per state = 4). The dependent variables were composite scores of the frequency of using children's mental health research in general, specific types of research use (i.e., conceptual, instrumental, tactical, imposed), and during different phases of the policy process (i.e., agenda setting, policy development, policy implementation). The independent variables were four composite scores of determinants of research use: agency leadership for research use, agency barriers to research use, research use skills, and dissemination barriers (e.g., lack of actionable messages/recommendations in research summaries, lack of interaction/collaboration with researchers). Separate multiple linear regression models estimated associations between determinant and frequency of research use scores.

resultsDeterminants of research use varied significantly by type of research use and phase of policy process. For example, agency leadership for research use was the only determinant significantly associated with imposed research use (β = 0.31, p < 0.001). Skills for research use were the only determinant associated with tactical research use (β = 0.17, p = 0.03) and were only associated with research use in the agenda-setting phase (β = 0.16, p = 0.04). Dissemination barriers were the most universal determinants of research use, as they were significantly and inversely associated with frequency of conceptual (β = -0.21, p = 0.01) and instrumental (β = -0.22, p = 0.01) research use and during all three phases of policy process.

conclusionsDecisions about the determinants to target with policy-focused implementation strategies-and the strategies that are selected to affect these targets-should reflect the specific types of research use that these strategies aim to influence.

Indexed as

Health PolicyMental HealthChildChild HealthHumansPolicy MakingResearch PersonnelChildrenMental healthPolicyResearch use in policymakingUnited States

Identifiers

PMID33468166
PMCPMC7815190

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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.