Evidence map›Paper›PMID 41063945›Full record

ArticleFrontiers in public health2025

Lessons learned to improve engagement, recruitment and retention of multilingual communities: a case study of a fresh produce box program.

Stella S Yi, Erinn M Hade, Lan N Đoàn, Sze Wan Chan, Simona C Kwon

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Stella S YiDepartment of Population Health, NYU Langone Health, New York, NY, United States.
Erinn M HadeDepartment of Population Health, NYU Langone Health, New York, NY, United States.
Lan N ĐoànDepartment of Population Health, NYU Langone Health, New York, NY, United States.
Sze Wan ChanDepartment of Population Health, NYU Langone Health, New York, NY, United States.
Simona C KwonDepartment of Population Health, NYU Langone Health, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many communities are oftentimes labeled as "hard to reach communities" by health researchers. Instead, what may be a more appropriate framing is that conventional research approaches are a mismatch for recruiting and retaining these understudied communities. This paper describes an inclusive research process with particular attention to engaging multilingual communities in the U.S. that we have developed while implementing a community-level nutrition program. The program, Harvest Share, is an equity-centered, systems-based strategy to improve diet for neighborhood residents in Brooklyn, NY. Our research approach involves three components: participatory mapping, cultural adaptation/transcreation and language justice, and two cross-cutting areas: researcher positionality and research team diversity. The application of these methods in research resulted in our research program being highly accepted by partner organizations and participants. Applying inclusive research practices in addition to centering the community/es of interest will aid in the implementation of solutions that are feasible and culturally and linguistically responsive, ensuring successful recruitment and retention; and in the long run, sustainable, community-engaged solutions that have high acceptability and promote community well-being.

Indexed as

Health PromotionMultilingualismVegetablesCommunity-Based Participatory ResearchHumansNew York Cityadaptationcommunity healthlanguagerecruitment strategiesretention strategies

Identifiers

PMID41063945
PMCPMC12500563

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.