Evidence map›Paper›PMID 35246274›Full record

ArticleImplementation science communications2022

Opportunities to improve policy dissemination by tailoring communication materials to the research priorities of legislators.

Natalie R Smith, Stephanie Mazzucca, Marissa G Hall, Kristen Hassmiller Lich, Ross C Brownson, Leah Frerichs

Abstract read
In one paragraph

Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  6. Review
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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.

Natalie R SmithDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, 677 Huntington Avenue, SBS 7th floor, MA, 02115, Boston, USA. nataliesmith@hsph.harvard.edu.ORCID http://orcid.org/0000-0002-2052-9433
Stephanie MazzuccaPrevention Research Center, Brown School, Washington University in St. Louis, Saint Louis, USA.
Marissa G HallDepartment of Health Behavior, Gillings School of Global Public Health, UNC Chapel Hill, Chapel Hill, USA.
Kristen Hassmiller LichDepartment of Health Policy and Management, Gillings School of Global Public Health, UNC Chapel Hill, Chapel Hill, USA.
Ross C BrownsonPrevention Research Center, Brown School, Washington University in St. Louis, Saint Louis, USA.
Leah FrerichsDepartment of Health Policy and Management, Gillings School of Global Public Health, UNC Chapel Hill, Chapel Hill, USA.

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
The Implementation Science Center for Cancer Control Equity - Research ProgramP50CA244433 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TAVERAS BENAVIDEZ, ELSIE MIREYA · 2019 to 2023
$12.5M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
The Harvard Chan Education Program in Cancer Prevention and ControlT32CA057711 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Karen M. Emmons, ANNE LINDSAY FRAZIER · 2019 to 2026
$3.3M
Cancer Control Dissemination Research Among State-Level Policy MakersR01CA124404 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2007 to 2011
$2.5M
Designing and Evaluating High-Impact Pictorial Health Warnings for Food ProductsK01HL147713 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HALL, MARISSA · 2019 to 2023
$738k
ACL HHS U48DP006395CDC HHS U48DP006395NCCDPHP CDC HHS U48 DP006395NCI NIH HHS P50 CA244431NCI NIH HHS P50 CA244433NCI NIH HHS R01 CA124404NCI NIH HHS T32 CA057711NHLBI NIH HHS K01 HL147713NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168NICHD NIH HHS T32 HD091058NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK092950NIH HHS T32 HD091058; P2C HD050924; T32 CA057711; R01CA124404; P50CA244431; P30DK092950; P30DK056341; K01HL147713
6 · The paper itself

Abstract

backgroundCommunicating research to policymakers is a complex and difficult process. Ensuring that communication materials have information or design aspects that appeal to groups of policymakers with different priorities could be a substantive improvement over current dissemination approaches. To facilitate a more nuanced design of policy communication materials and message framing, we identified and characterized groups of state legislators based on how they prioritize different characteristics of research.

methodsWe used deidentified data collected in 2012 on 862 state legislators belonging to the US liberal-moderate-conservative ideological spectrum and from all 50 US states. Legislators were grouped using latent class analysis based on how they prioritized 12 different characteristics of research (e.g., research is unbiased, presents data on cost-effectiveness, policy options are feasible). We fit initial models using 1-6 group solutions and chose the final model based on identification, information criteria, and substantive interpretation.

resultsMost legislators placed a high priority on research that was understandable (61%), unbiased (61%), available at the time that decisions are made (58%), and brief and concise (55%). The best model identified four groups of state legislators. Pragmatic consumers (36%) prioritized research that was brief and concise, provided cost-effectiveness analyses, and was understandably written. Uninterested skeptics (30%) generally did not place a high priority on any of the research characteristics. Conversely, one-quarter of legislators (25%) belonged to the Highly Informed Supporters group that placed a high priority on most characteristics of research. Finally, Constituent-Oriented Decision Makers (9%) prioritized research that was relevant to their constituents, delivered by someone they knew or trusted, available at the time decisions were made, and dealt with an issue that they felt was a priority for state legislative action.

conclusionsTo maximize the impact of dissemination efforts, researchers should consider how to communicate with legislators who have distinct preferences, values, and priorities. The groups identified in this study could be used to develop communication materials that appeal to a wide range of legislators with distinct needs and preferences, potentially improving the uptake of research into the policymaking process. Future work should investigate how to engage skeptical legislators.

Indexed as

Health policyImplementation scienceInformation disseminationPolicy making

Identifiers

PMID35246274
PMCPMC8895761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.