Evidence map›Paper›PMID 28730383›Full record

ArticleTranslational behavioral medicine2017

Consensus modeling to develop the farmers' market readiness assessment and decision instrument.

Eunlye Lee, Jarrod Dalton, David Ngendahimana, Pat Bebo, Ashley Davis, Daniel Remley, Carol Smathers, Darcy A Freedman

Open access · bronzeAbstract readConsensus Statement
In one paragraph

Article in Translational behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Eunlye LeeDepartment of Population and Quantitative Health Sciences School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Jarrod DaltonDepartment of Quantitative Health Sciences at Cleveland Clinic, Cleveland, OH, USA.
David NgendahimanaDepartment of Population and Quantitative Health Sciences School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Pat BeboCollege of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus, OH, USA.
Ashley DavisDepartment of Health, Columbus, OH, USA.
Daniel RemleyCollege of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus, OH, USA.
Carol SmathersCollege of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus, OH, USA.
Darcy A FreedmanDepartment of Population and Quantitative Health Sciences School of Medicine, Case Western Reserve University, Cleveland, OH, USA. daf69@case.edu.
Case Western Reserve University · USThe Ohio State University · USCleveland Clinic · USOhio Department of Health · US

Funding

Prevention Research Center for Healthy NeighborhoodsU48DP005030 · DP · CASE WESTERN RESERVE UNIVERSITY · PI BORAWSKI, ELAINE A. · 2014 to 2018
$6.8M
OSTLTS CDC HHS B01 OT009042
6 · The paper itself

Abstract

Nutrition-related policy, system, and environmental (PSE) interventions such as farmers' markets have been recommended as effective strategies for promoting healthy diet for chronic disease prevention. Tools are needed to assess community readiness and capacity factors influencing successful farmers' market implementation among diverse practitioners in different community contexts. We describe a multiphase consensus modeling approach used to develop a diagnostic tool for assessing readiness and capacity to implement farmers' market interventions among public health and community nutrition practitioners working with low-income populations in diverse contexts. Modeling methods included the following: phase 1, qualitative study with community stakeholders to explore facilitators and barriers influencing successful implementation of farmers' market interventions in low-income communities; phase 2, development of indicators based on operationalization of qualitative findings; phase 3, assessment of relevance and importance of indicators and themes through consensus conference with expert panel; phase 4, refinement of indicators based on consensus conference; and phase 5, pilot test of the assessment tool. Findings illuminate a range of implementation factors influencing farmers' market PSE interventions and offer guidance for tailoring intervention delivery based on levels of community, practitioner, and organizational readiness and capacity.

Indexed as

Community ParticipationFood SupplyStakeholder ParticipationDiet, HealthyFarmersHealth PromotionHumansInterviews as TopicModels, TheoreticalPilot ProjectsPovertyQualitative ResearchCapacityCommunity readinessFarmers’ marketImplementation scienceNutritionSupplemental nutrition assistance program

Identifiers

PMID28730383
PMCPMC5645287
OpenAlexW2739345548

What OpenQuestion holds

Textmetadata
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.