Evidence map›Paper›PMID 29191262›Full record

Trial reportPreventing chronic disease2017

Controlling Chronic Diseases Through Evidence-Based Decision Making: A Group-Randomized Trial.

Ross C Brownson, Peg Allen, Rebekah R Jacob, Anna deRuyter, Meenakshi Lakshman, Rodrigo S Reis, Yan Yan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Preventing chronic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Ross C BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, One Brookings Dr, Campus Box 1196, St. Louis, MO 63130. Email: rbrownson@wustl.edu.
Peg AllenPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Rebekah R JacobPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Anna deRuyterPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Meenakshi LakshmanPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Rodrigo S ReisPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, Missouri.
Yan YanDepartment of Surgery, Division of Public Health Sciences, and Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Disseminating Evidence-Based Interventions to Control CancerR01CA160327 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2012 to 2017
$2.8M
Mentored Training for Dissemination and Implemention Research in CancerR25CA171994 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2013 to 2017
$1.5M
NCI NIH HHS R01 CA160327NCI NIH HHS R25 CA171994NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

introductionAlthough practitioners in state health departments are ideally positioned to implement evidence-based interventions, few studies have examined how to build their capacity to do so. The objective of this study was to explore how to increase the use of evidence-based decision-making processes at both the individual and organization levels.

methodsWe conducted a 2-arm, group-randomized trial with baseline data collection and follow-up at 18 to 24 months. Twelve state health departments were paired and randomly assigned to intervention or control condition. In the 6 intervention states, a multiday training on evidence-based decision making was conducted from March 2014 through March 2015 along with a set of supplemental capacity-building activities. Individual-level outcomes were evidence-based decision making skills of public health practitioners; organization-level outcomes were access to research evidence and participatory decision making. Mixed analysis of covariance models was used to evaluate the intervention effect by accounting for the cluster randomized trial design. Analysis was performed from March through May 2017.

resultsParticipation 18 to 24 months after initial training was 73.5%. In mixed models adjusted for participant and state characteristics, the intervention group improved significantly in the overall skill gap (P = .01) and in 6 skill areas. Among the 4 organizational variables, only access to evidence and skilled staff showed an intervention effect (P = .04).

conclusionTailored and active strategies are needed to build capacity at the individual and organization levels for evidence-based decision making. Our study suggests several dissemination interventions for consideration by leaders seeking to improve public health practice.

Indexed as

Decision MakingEvidence-Based PracticePublic Health PracticeChronic DiseaseFemaleHumansMaleUnited States

Identifiers

PMID29191262
PMCPMC5716810

What OpenQuestion holds

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LicenceCC BY
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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.