Evidence mapPaperPMID 40260233Full record

ArticleFrontiers in health services2025

Understanding adaptations in a community-vetted COVID-19 testing program.

Breanna J Reyes, Stephenie Tinoco Calvillo, Angel Lomeli, Arleth A Escoto, Maria Linda Burola, Kelli L Cain, Linda Salgin, Maria Balbuena-Bojorquez, Anne-Marie Engler, Marva Seifert and 3 more

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Breanna J ReyesDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Stephenie Tinoco CalvilloDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Angel LomeliDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Arleth A EscotoDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Maria Linda BurolaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Kelli L CainHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States.
Linda SalginDepartment of Research and Health Promotion, San Ysidro Health, San Ysidro, CA, United States.
Maria Balbuena-BojorquezDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Anne-Marie EnglerDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Marva SeifertDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
Louise C LaurentDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Nicole A StadnickDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.
Borsika A RabinHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adaptations are expected when complex public health interventions are implemented in dynamically and rapidly changing real-world settings, as seen for many programs during the COVID-19 pandemic. Systematic documentation of adaptations to intervention components and strategies are critical when assessing their impact on implementation. Here, we report processes used for tracking and evaluating adaptations made during the CO-CREATE project, which aimed to address COVID-19 testing disparities in the San Ysidro US/Mexico border community. Methods: The study utilized a longitudinal, prospective, mixed methods approach to systematically document and assess adaptations across the pre-implementation, early and mid/late-implementation phases of the project. Aggregated from a combination of sources (i.e., meeting notes, Advisory Board transcripts, and periodic reflections), adaptations were entered weekly into an electronic database that captured information on 16 characteristics and were validated by study staff. The impacts of the adaptations were determined using a team consensus approach and based on the outcomes from the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. Each adaptation was evaluated to determine whether it increased, decreased, had no effect, or not applicable to the RE-AIM outcomes. Data were analyzed using descriptive statistics. Results: 98 adaptations were identified, and most were identified by research staff ( Conclusion: This work describes our systematic and prospective approach to document and analyze adaptations over a two-year period and assesses the impact of these adaptations. Lessons learned from this work can be used to develop best practices for adapting interventions to ensure sustainable implementation and address disparities in public health and clinical programs.

Indexed as

adaptationborder communitycommunity-basedCOVID-19 testingimplementation science

Identifiers

PMID40260233
PMCPMC12009949

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.