Evidence map›Paper›PMID 39020226›Full record

ArticleJournal of general internal medicine2024

Reaching Structurally Vulnerable Populations Using Low-Barrier COVID-19 Testing Clinics Co-Created with Community-Based Organizations.

David N Ngandu, Gloria D Sclar, Ambia Ahmed, Sumayo A Awale, Caroline Fernandes, Joshua Goldstein, Hina Hashmi, Shruti Joshi, Swapnika Mallipeddi, Marie Louise Mudasigana and 8 more

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. 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

18 authors.

David N NganduMaineHealth Institute for Research, Scarborough, ME, USA.
Gloria D SclarMaineHealth Institute for Research, Scarborough, ME, USA.
Ambia AhmedMaineHealth Institute for Research, Scarborough, ME, USA.
Sumayo A AwaleMaineHealth Institute for Research, Scarborough, ME, USA.
Caroline FernandesPreble Street, Portland, ME, USA.
Joshua GoldsteinDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA, USA.
Hina HashmiMaineHealth Institute for Research, Scarborough, ME, USA.
Shruti JoshiPrinceton University, Princeton, NJ, USA.
Swapnika MallipeddiMaineHealth Institute for Research, Scarborough, ME, USA.
Marie Louise MudasiganaGreater Portland Health, Portland, ME, USA.
Leslie NicollFriends of the Portland Community Free Clinic, Portland, ME, USA.
Daisy E ParkerBates College, Lewiston, ME, USA.
Grace PriceMaineHealth Institute for Research, Scarborough, ME, USA.
Ann TuckerGreater Portland Health, Portland, ME, USA.
Elizabeth A VintonDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA, USA.
Andrew VolkersPreble Street, Portland, ME, USA.
Elizabeth A JacobsDell Medical School, University of Texas, Austin, USA.
Kathleen M FairfieldMaineHealth Institute for Research, Scarborough, ME, USA. Kathleen.Fairfield@MaineHealth.org.

Funding

Understanding Factors Influencing COVID-19 Testing and Vaccination in Immigrant Low-income and Homeless Populations and Testing Targeted InterventionsU54GM115516 · NIGMS · MAINEHEALTH · PI Brenda Morissette Joly · 2017 to 2026
$51.6M
NIGMS NIH HHS 3U54GM115516-05S2NIGMS NIH HHS U54 GM115516
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic disproportionately affected people from structurally vulnerable communities. There was a need to improve COVID-19 testing in these communities to reduce viral spread and connect to treatment.

objectiveWe created a partnership between an academic medical center and three community-based organizations (CBOs) to offer low-barrier COVID-19 walk-up testing clinics in Portland, Maine. Our objective was to examine whether the co-created testing clinics reached structurally vulnerable populations.

designThe clinics offered COVID-19 rapid antigen tests three times a week outside CBO sites from January 2022 to May 2023. Clinic staff administered a brief survey on reason for testing and then instructed participants on how to self-swab. While staff processed the test, participants were invited to complete an additional survey about their demographics and testing perceptions.

participantsAdults seeking COVID-19 testing with specific outreach to people who are unhoused, immigrants, and low-income and/or uninsured. MAIN MEASURES: Number of tests conducted and result, reasons for testing, and testing perceptions. KEY

resultsOf 246 completed tests, 18 were positive for COVID-19 (7%). Participants sought testing for a variety of reasons, including symptoms (60%), close contact exposure (29%), and/or need for a negative test result to access services or an activity (33%). Overall, people primarily tested due to symptoms with only 7% testing due to close contact exposure alone. The clinics reached vulnerable populations. Among the 130 people completing the participant survey, 39% were unhoused, 22% spoke a language other than English at home, 23% were uninsured, and 46% earned less than $20,000 in 2019. Qualitative field notes captured key elements of clinics that influenced reach, and how this collaboration with CBOs helped build trust with our target populations.

conclusionsProviding low-barrier walk-up clinics partnering with trusted CBOs was observed to be helpful in reaching structurally vulnerable populations for COVID-19 testing.

Indexed as

COVID-19COVID-19 TestingVulnerable PopulationsAdultAgedAmbulatory Care FacilitiesFemaleHealth Services AccessibilityHumansMaineMaleMiddle AgedSARS-CoV-2community engagedCOVID-19 testingstructurally vulnerable

Identifiers

PMID39020226
PMCPMC11576698

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.