Evidence map›Paper›PMID 29969930›Full record

ArticleHealth education & behavior : the official publication of the Society for Public Health Education2019

Process Evaluation and Lessons Learned From Engaging Local Policymakers in the B'More Healthy Communities for Kids Trial.

Cyd S Nam, Alexandra Ross, Cara Ruggiero, Marie Ferguson, Yeeli Mui, Bruce Y Lee, Joel Gittelsohn

Abstract read
In one paragraph

Article in Health education & behavior : the official publication of the Society for Public Health Education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Trial
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  4. 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

7 authors.

Cyd S Nam1 The Joint Learning Initiative on Faith and Local Communities, Washington, DC, USA.
Alexandra Ross2 Johns Hopkins University, Baltimore, MD, USA.
Cara Ruggiero3 Pennsylvania State University, University Park, PA, USA.
Marie Ferguson2 Johns Hopkins University, Baltimore, MD, USA.
Yeeli Mui4 University at Buffalo-The State University of New York, Buffalo, NY, USA.
Bruce Y Lee2 Johns Hopkins University, Baltimore, MD, USA.
Joel Gittelsohn2 Johns Hopkins University, Baltimore, MD, USA.

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI GITTELSOHN, JOEL · 2011 to 2016
$15.9M
Virtual Population Obesity Prevention (VPOP) Labs: Computational, Multi-Scale Models for Obesity SolutionsU01HD086861 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y · 2015 to 2019
$2.8M
ACL HHS U48DP005045NCCDPHP CDC HHS U48 DP000040NICHD NIH HHS U01 HD086861NICHD NIH HHS U54 HD070725
6 · The paper itself

Abstract

Partnerships linking researchers to the policymaking process can be effective in increasing communication and supporting health policy. However, these policy partnerships rarely conduct process evaluation. The Policy Working Group (Policy WG) was the policy-level intervention of the multilevel B'More Healthy Communities for Kids (BHCK) trial. The group sought to align interests of local policymakers, inform local food and nutrition policy, introduce policymakers to a new simulation modeling, and sustain intervention levels of BHCK. We conducted an evaluation on the Policy WG between July 2013 and May 2016. We evaluated process indicators for reach, dose-delivered, and fidelity and developed a SWOT (strengths, weaknesses, opportunities, and threats) analysis. The policy intervention was implemented with high reach and dose-delivered. Fidelity measures improved from moderate to nearly high over time. The number of health-related issues on policymakers' agenda increased from 50% in the first 2 years to 150% of the high standard in Year 3. SWOT analysis integrated a stakeholder feedback survey to consider areas of strength, weakness, opportunity, and threats. Although the fidelity of the modeling was low at 37% of the high standard, stakeholders indicated that the simulation modeling should be a primary purpose for policy intervention. Results demonstrate that process evaluation and SWOT analysis is useful for tracking the progress of policy interventions in multilevel trials and can be used to monitor the progress of building partnerships with policymakers.

Indexed as

Health PolicyPolicy MakingProcess Assessment, Health CareChronic DiseaseComputer SimulationHumansNutrition PolicyPublic Healthchronic diseasecommunity health interventionhealth policymultilevel interventionobesityprocess evaluationurban

Identifiers

PMID29969930
PMCPMC6440198

What OpenQuestion holds

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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.