Evidence map›Paper›PMID 35030999›Full record

ArticleBMC public health2022

An embedded multiple case study: using CFIR to map clinical food security screening constructs for the development of primary care practice guidelines.

Sabira Taher, Naoko Muramatsu, Angela Odoms-Young, Nadine Peacock, C Fagen Michael, K Suh Courtney

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Implementation science in nutrition practice: A review of the Consolidated Framework for Implementation Research.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
    Review
  5. 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

6 authors at 4 institutions in 1 country.

Sabira TaherDepartment of Preventive Medicine, Northwestern Feinberg School of Medicine, 680 N Lake Shore Drive Suite 1400, Chicago, IL, 60611, USA. Sabira.Taher@northwestern.edu.ORCID 0000-0001-5368-2998
Naoko MuramatsuDepartment of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor Street, Chicago, IL, 60612, USA.
Angela Odoms-YoungDivision of Nutritional Sciences, College of Human Ecology, Cornell University, Martha Van Rensselaer Hall, Ithaca, NY, 14853, USA.
Nadine PeacockDepartment of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor Street, Chicago, IL, 60612, USA.
C Fagen MichaelDepartment of Preventive Medicine, Northwestern Feinberg School of Medicine, 680 N Lake Shore Drive Suite 1400, Chicago, IL, 60611, USA.
K Suh CourtneyDepartment of Family Medicine, Loyola Stritch School of Medicine, 2160 S 1st Ave, Maywood, IL, 60153, USA.
Northwestern University · USUniversity of Illinois Chicago · USCornell University · USLoyola University Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFood insecurity (FI), the limited access to healthy food to live an active and healthy life, is a social determinant of health linked to poor dietary health and difficulty with disease management in the United States (U.S.). Healthcare experts support the adoption of validated screening tools within primary care practice to identify and connect FI patients to healthy and affordable food resources. Yet, a lack of standard practices limits uptake. The purpose of this study was to understand program processes and outcomes of primary care focused FI screening initiatives that may guide wide-scale program implementation.

methodsThis was an embedded multiple case study of two primary care-focused initiatives implemented in two diverse health systems in Chicago and Suburban Cook County that routinely screened patients for FI and referred them to onsite food assistance programs. The Consolidated Framework for Implementation Research and an iterative process were used to collect/analyze qualitative data through semi-structured interviews with N = 19 healthcare staff. Intended program activities, outcomes, actors, implementation barriers/facilitators and overarching implementation themes were identified as a part of a cross-case analysis.

resultsPrograms outcomes included: the number of patients screened, identified as FI and that participated in the onsite food assistance program. Study participants reported limited internal resources as implementation barriers for program activities. The implementation climate that leveraged the strength of community collaborations and aligned internal, implementation climate were critical facilitators that contributed to the flexibility of program activities that were tailored to fill gaps in resources and meet patient and clinician needs.

conclusionHighly adaptable programs and the healthcare context enhanced implementation feasibility across settings. These characteristics can support program uptake in other settings, but should be used with caution to preserve program fidelity. A foundational model for the development and testing of standard clinical practice was the product of this study.

Indexed as

Delivery of Health CareMass ScreeningFood SecurityHumansPrimary Health CareQualitative ResearchUnited StatesConsolidated framework for implementation researchDisseminationFood insecurityFood security screeningImplementationPrimary care practiceProduce prescription programsSemi-structured interviews

Identifiers

PMID35030999
PMCPMC8758892
OpenAlexW4225777964

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.