Evidence map›Paper›PMID 35470023›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.

Helen E Jenkins, Sally Ayuk, Daniela Puma, Meredith B Brooks, Ana Karina Millones, Judith Jimenez, Leonid Lecca, Jerome T Galea, Mercedes Becerra, Salmaan Keshavjee and 1 more

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  11. Tuberculosis Disability Adjusted Life Years, Colombia 2010-2018.Tropical medicine and infectious disease · 2022
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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

11 authors.

Helen E JenkinsBoston University School of Public Health, Boston, MA, USA.
Sally AyukUniversity of Texas at Arlington, Arlington, Texas, USA.
Daniela PumaSocios en Salud Sucursal Peru, Lima, Peru.
Meredith B BrooksHarvard Medical School, Boston, MA, USA.
Ana Karina MillonesSocios en Salud Sucursal Peru, Lima, Peru.
Judith JimenezSocios en Salud Sucursal Peru, Lima, Peru.
Leonid LeccaSocios en Salud Sucursal Peru, Lima, Peru; Harvard Medical School, Boston, MA, USA.
Jerome T GaleaSchool of Social Work, University of South Florida, Tampa, FL, USA; College of Public Health, University of South Florida, Tampa, FL, USA.
Mercedes BecerraHarvard Medical School, Boston, MA, USA.
Salmaan KeshavjeeHarvard Medical School, Boston, MA, USA; Brigham and Women's Hospital, Boston, MA, USA.
Courtney M YuenHarvard Medical School, Boston, MA, USA; Brigham and Women's Hospital, Boston, MA, USA. Electronic address: Courtney_Yuen@hms.harvard.edu.

Funding

New approaches to optimizing the application and measuring the impact of community-based tuberculosis interventionsDP2MD015102 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI YUEN, COURTNEY M. · 2019 to 2019
$2.4M
NIMHD NIH HHS DP2 MD015102
6 · The paper itself

Abstract

objectivesAnnually, more than 30% of individuals with tuberculosis (TB) remain undiagnosed. We aimed to assess whether geographic accessibility measures can identify neighborhoods that would benefit from TB screening services targeted toward closing the diagnosis gap.

methodsWe used data from a community-based mobile TB screening program in Carabayllo district, Lima, Peru. We constructed four accessibility measures from the geographic center of neighborhoods to health facilities. We used logistic regression to assess the association between these measures and screening uptake in one's residential neighborhood versus elsewhere, with quasi-information criterion values to assess the association.

resultsWe analyzed the screening locations for 25,000 Carabayllo residents from 49 neighborhoods. Pedestrian walk time was preferable to Euclidean distance or vehicular time in our models. For each additional 12 minutes walking time between the neighborhood and the health facility, the odds of residents using TB screening units located in their neighborhoods increased by 50% (95% CI: 26%-78%). Females had 9% (95% CI: 3%-16%) increased odds versus males of using a screening unit in their own neighborhood.

conclusionPlacing mobile TB screening units in neighborhoods with longer pedestrian time to access health facilities could benefit individuals who face more acute access barriers to health care.

Indexed as

Health FacilitiesTuberculosisFemaleHealth Services AccessibilityHumansMaleMass ScreeningPeruResidence CharacteristicsDistance to health facilityInterventionSpatialTB diagnosis

Identifiers

PMID35470023
PMCPMC9176313

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.