Evidence map›Paper›PMID 38737772›Full record

ArticleLancet regional health. Americas2024

Dynamic measurements of geographical accessibility considering traffic congestion using open data: a cross-sectional assessment for haemodialysis services in Cali, Colombia.

Luis Gabriel Cuervo, Carmen Juliana Villamizar, Lyda Osorio, María Beatriz Ospina, Diana E Cuervo, Daniel Cuervo, María O Bula, Pablo Zapata, Nancy J Owens, Janet Hatcher-Roberts and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Improving spatial accessibility to health care services in Cali, Colombia: stakeholder assessment of an innovative platform.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Luis Gabriel CuervoUniversitat Autònoma de Barcelona, Barcelona, Spain.
Carmen Juliana VillamizarJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Lyda OsorioSchool of Public Health, Universidad del Valle, Cali, Colombia.
María Beatriz OspinaFaculty of Health Sciences, Queen's University, Kingston, ON, Canada.
Diana E CuervoNational Disability Board of Colombia, Bogotá, Colombia.
Daniel CuervoIQuartil SAS, Bogotá, Colombia.
María O BulaIndependent Researcher, Bogotá, Colombia.
Pablo ZapataIQuartil SAS, Bogotá, Colombia.
Nancy J OwensIndependent Content and Communications Consultant, Fairfax, VA, USA.
Janet Hatcher-RobertsSchool of Epidemiology and Public Health in the Faculty of Medicine, and Bruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.
Edith Alejandra MartínColombian Association of Transplanted Athletes, Bogota, Colombia.
Felipe PiqueroPatient Advocate and Author of an Autopathography, Bogotá, Colombia.
Luis Fernando PinillaUniversidad de la Sabana, Campus del Puente del Común, Chía, Cundinamarca, Colombia.
Eliana Martínez-HerreraNational Faculty of Public Health, Universidad de Antioquia, Medellín, Colombia.
Ciro JaramilloSchool of Civil and Geomatic Engineering of the Universidad del Valle, Cali, Colombia.
AMORE Project Collaboration

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many cities with traffic congestion lack accessibility assessments accounting for traffic congestion and equity considerations but have disaggregated georeferenced municipal-level open data on health services, populations, and travel times big data. We convened a multistakeholder intersectoral collaborative group that developed a digital, web-based platform integrating open and big data to derive dynamic spatial-temporal accessibility measurements (DSTAM) for haemodialysis services. We worked with stakeholders and data scientists and considered people's places of residence, service locations, and travel time to the service with the shortest travel time. Additionally, we predicted the impacts of strategically introducing haemodialysis services where they optimise accessibility. Methods: Cross-sectional analyses of DSTAM, accounting for traffic congestion, were conducted using a web-based platform. This platform integrated traffic analysis zones, public census and health services datasets, and Google Distance Matrix API travel-time data. Predictive and prescriptive analytics identified optimal locations for new haemodialysis services and estimated improvements. Primary outcomes included the percentage of residents within a 20-min car drive of a haemodialysis service during peak and free-flow traffic congestion. Secondary outcomes focused on optimal locations to maximise accessibility with new services and potential improvements. Findings were disaggregated by sociodemographic characteristics, providing an equity perspective. The study in Cali, Colombia, used geographic and disaggregated sociodemographic data from the adjusted 2018 Colombian census. Predicted travel times were obtained for two weeks in 2020. Findings: There were substantial traffic variations. Congestion reduced accessibility, especially among marginalised groups. For 6-12 July, free-flow and peak-traffic accessibility rates were 95.2% and 45.0%, respectively. For 23-29 November, free-flow and peak traffic accessibility rates were 89.1% and 69.7%. The locations where new services would optimise accessibility had slight variation and would notably enhance accessibility and health equity. Interpretation: Establishing haemodialysis services in targeted areas has significant potential benefits. By increasing accessibility, it would enhance urban health and equity. Funding: No external or institutional funding was received.

Indexed as

Accessibility indicatorsDynamic accessibility assessmentsGeographic accessibilityHealth services accessibilityHealth services planningHealth services researchHemodialysisIntersectoral interactionsKnowledge translation and disseminationMultistakeholder collaborationPeople-centred focusResearch for healthUrban planning innovation

Identifiers

PMID38737772
PMCPMC11087994

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.