Evidence map›Paper›PMID 32693815›Full record

ArticleInternational journal of health geographics2020

Modeling spatial access to cervical cancer screening services in Ondo State, Nigeria.

Kathleen Stewart, Moying Li, Zhiyue Xia, Stephen Ayodele Adewole, Olusegun Adeyemo, Clement Adebamowo

Abstract read
In one paragraph

Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Review
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  13. Cervical Lesion Evaluation in Females of Reproductive Age in Ondo Town, Nigeria.Nigerian medical journal : journal of the Nigeria Medical Association
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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.

Kathleen StewartDepartment of Geographical Sciences, Center for Geospatial Information Science, University of Maryland, College Park, MD, USA, 20742. stewartk@umd.edu.ORCID 0000-0001-5378-3609
Moying LiDepartment of Geographical Sciences, Center for Geospatial Information Science, University of Maryland, College Park, MD, USA, 20742.
Zhiyue XiaDepartment of Geographical Sciences, Center for Geospatial Information Science, University of Maryland, College Park, MD, USA, 20742.
Stephen Ayodele AdewoleDepartment of Obstetrics and Gynaecology, University of Medicine Teaching Hospital, Ondo, Nigeria.
Olusegun AdeyemoCenter for Bioethics and Research, Ibadan, Nigeria.
Clement AdebamowoDepartment of Epidemiology and Public Health and Greenebaum Comprehensive Cancer Center, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Vu H. Duong · 2008 to 2026
$51.0M
NCI NIH HHS P30 CA134274
6 · The paper itself

Abstract

backgroundWomen in low- and middle-income countries (LMIC) remain at high risk of developing cervical cancer and have limited access to screening programs. The limits include geographical barriers related to road network characteristics and travel behaviors but these have neither been well studied in LMIC nor have methods to overcome them been incorporated into cervical cancer screening delivery programs.

methodsTo identify and evaluate spatial barriers to cervical cancer prevention services in Ondo State, Nigeria, we applied a Multi-Mode Enhanced Two-Step Floating Catchment Area model to create a spatial access index for cervical cancer screening services in Ondo City and the surrounding region. The model used inputs that included the distance between service locations and population centers, local population density, quantity of healthcare infrastructures, modes of transportation, and the travel time budgets of clients. Two different travel modes, taxi and mini bus, represented common modes of transit. Geocoded client residential locations were compared to spatial access results to identify patterns of spatial access and estimate where gaps in access existed.

resultsOndo City was estimated to have the highest access in the region, while the largest city, Akure, was estimated to be in only the middle tier of access. While 73.5% of clients of the hospital in Ondo City resided in the two highest access zones, 21.5% of clients were from locations estimated to be in the lowest access catchment, and a further 2.25% resided outside these limits. Some areas that were relatively close to cervical cancer screening centers had lower access values due to poor road network coverage and fewer options for public transportation.

conclusionsVariations in spatial access were revealed based on client residential patterns, travel time differences, distance decay assumptions, and travel mode choices. Assessing access to cervical cancer screening better identifies potentially underserved locations in rural Nigeria that can inform plans for cervical cancer screening including new or improved infrastructure, effective resource allocation, introduction of service options for areas with lower access, and design of public transportation networks.

Indexed as

Uterine Cervical NeoplasmsCatchment Area, HealthEarly Detection of CancerFemaleHealth Services AccessibilityHumansNigeriaCancer screening servicesHealth care planningLow-and middle-income countriesNigeriaSpatial accessibility

Identifiers

PMID32693815
PMCPMC7374833

What OpenQuestion 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 OpenQuestion graph.