Evidence map›Paper›PMID 30825091›Full record

ArticleJournal of behavioral medicine2019

Translating behavioral medicine evidence to public policy.

Karen M Emmons, Ediss Gandelman

Abstract read
In one paragraph

Article in Journal of behavioral medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

2 authors.

Karen M EmmonsDepartment of Social and Behavioral Science, Harvard TH Chan School of Public Health, Room 601, 677 Huntington Ave, Boston, MA, 02115, USA. kemmons@hsph.harvard.edu.
Ediss Gandelman, Newton, MA, USA.

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
NCATS NIH HHS KL2 TR001100NCATS NIH HHS UL1 TR002541
6 · The paper itself

Abstract

Behavioral medicine has made significant contributions to our understanding of how to prevent disease and improve health. However, social and environmental factors continue to have a major influence on health in ways that will be difficult to combat on a population level without concerted efforts to scale interventions and translate the evidence into public health policies. Now is also the right time to increase our efforts to produce policy relevant research and partnerships that will maximize the chances that our evidence is taken to scale in ways that can influence population health broadly, and perhaps contribute to the reduction of the recalcitrant health disparities that plague virtually every area of behavioral medicine focus. As a field we must take an active role in policy translation, learning from the public policy and political science disciplines, and our own pioneers in policy translation. This article discusses importance of accelerating evidence translation to policy, and suggests several factors that could enhance our translation efforts, including embracing policy translation as a key goal in behavioral medicine, increasing our understanding in variability of evidence-based policy adoption across and within states, improving our understanding of how to most effectively communicate our findings to policy makers, conducting research that is responsive to policy makers' needs, and considering the important role of local policy partnerships.

Indexed as

Administrative PersonnelBehavioral MedicineEvidence-Based PracticeHealth PolicyPublic PolicyHumansPublic HealthBehavioral medicineEvidence-based practice and policyPolicyPrevention

Identifiers

PMID30825091
PMCPMC9701573

What OpenQuestion holds

Textmetadata
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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.