Evidence map›Paper›PMID 36904209›Full record

ArticleNutrients2023

A Systems Approach to Identify Factors Influencing Participation in Two Tribally-Administered WIC Programs.

Michelle Estradé, Samantha Grace Alarcon Basurto, Abbegayle McCarter, Joel Gittelsohn, Takeru Igusa, Siyao Zhu, Lisa Poirier, Susan Gross, Marla Pardilla, Martha Rojo and 5 more

Full text read
In one paragraph

Article in Nutrients, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

15 authors.

Michelle EstradéJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.ORCID 0000-0002-3972-3471
Samantha Grace Alarcon BasurtoJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.
Abbegayle McCarterJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.
Joel GittelsohnJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.ORCID 0000-0003-2761-3280
Takeru IgusaWhiting School of Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, MD 21218, USA.
Siyao ZhuWhiting School of Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, MD 21218, USA.ORCID 0000-0002-7365-4959
Lisa PoirierJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.
Susan GrossJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.
Marla PardillaJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.
Martha RojoCollege of Nursing, University of Arkansas for Medical Sciences, 220 UAMS Campus Dr., Little Rock, AR 72205, USA.
Kevin LombardCollege of Argicultural, Consumer, and Environmental Sciences, New Mexico State University, 300 Road 4063, Farmington, NM 87401, USA.
Henry HaskieNavajo Nation WIC, Window Rock, NM 86515, USA.
Veronica ClarkNavajo Nation WIC, Window Rock, NM 86515, USA.
Jacqueline SwartzJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.
Yeeli MuiJohns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA.ORCID 0000-0002-5101-4096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Native American populations experience highly disproportionate rates of poor maternal-child health outcomes. The WIC program aims to safeguard health by providing greater access to nutritious foods, but for reasons not well understood, participation in many tribally-administered WIC programs has declined to a greater extent compared to the national average decline in participation over the last decade. This study aims to examine influences on WIC participation from a systems perspective in two tribally-administered WIC programs. In-depth interviews were conducted with WIC-eligible individuals, WIC staff, tribal administrators, and store owners. Interview transcripts underwent qualitative coding, followed by identifying causal relationships between codes and iterative refining of relationships using Kumu. Two community-specific causal loop diagrams (CLDs) were developed and compared. Findings from interviews in the Midwest yielded a total of 22 factors connected through 5 feedback loops, and in the Southwest a total of 26 factors connected through 7 feedback loops, resulting in three overlapping themes: Reservation and Food Store Infrastructure, WIC Staff Interactions and Integration with the Community, and State-level Administration and Bureaucracy. This study demonstrates the value of a systems approach to explore interconnected barriers and facilitators that can inform future strategies and mitigate declines in WIC participation.

Indexed as

Food AssistanceHumansInfantPovertySystems Analysiscausal loop diagramhealth equityNative Americannutritionsystem dynamicsWIC

Identifiers

PMID36904209
PMCPMC10005501

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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.