Evidence map›Paper›PMID 41310666›Full record

ArticleCost effectiveness and resource allocation : C/E2025

Expenditure and use on radiology imaging in urban and rural areas in a developing country.

Oscar Espinosa, Gabriela Puentes, Valeria Bejarano, Javier Romero, Martha-Liliana Arias, Sandeep Hedgire, Dania Daye, Suyash Mohan, Richard Duszak

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Oscar EspinosaEconomic Models and Quantitative Methods Research Group, Centro de Investigaciones para el Desarrollo, Universidad Nacional de Colombia, Carrera 30 No 45 - 03, Bogotá, D.C, Colombia. oaespinosaa@unal.edu.co.
Gabriela PuentesDepartament of Radiology, Fundación Santa Fe de Bogotá, Bogotá, D.C, Colombia.
Valeria BejaranoEconomic Models and Quantitative Methods Research Group, Centro de Investigaciones para el Desarrollo, Universidad Nacional de Colombia, Carrera 30 No 45 - 03, Bogotá, D.C, Colombia.
Javier RomeroDepartament of Radiology, Fundación Santa Fe de Bogotá, Bogotá, D.C, Colombia.
Martha-Liliana AriasDepartment of Accounting Sciences, Pontificia Universidad Javeriana, Bogotá, D.C, Colombia.
Sandeep HedgireDivision Chief Cardiovascular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
Dania DayeDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
Suyash MohanDepartment of Radiology, University of Pennsylvania, Philadelphia, USA.
Richard DuszakDepartment of Radiology, University of Mississippi Medical Center, Mississippi, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in the population pyramid and in the disease burden of patients can be observed through the expenditure and frequency of use of medical imaging in health systems; however, this topic has undergone little study in the international literature. Our objective was to analyze the per capita and total expenditure and the frequency of use of radiological imaging according to gender, geographic area and type of medical imaging in the Colombian population.

methodsIn this work, a national database was used to study temporal dynamics of annual expenditures and frequency of use on medical imaging of more than 19 million people (0-100 years old). Descriptive analytical techniques and statistical visualization were used for the development of the research.

resultsPer capita expenditure increased progressively with age and for almost all ages it was found to be higher in men than in women. In addition, rural areas had a higher per capita expenditure on medical imaging than urban areas. However, when analyzed by total expenditures, women and urban areas had the highest participation. Interventional radiology and magnetic resonance imaging procedures accounted for the largest share of total medical imaging spending. General radiology medical imaging has the highest frequency of use per capita and urban women are the profile with the highest use of these medical services.

conclusionOur findings enable further characterization of the evolution of the financial burdens of medical imaging which we anticipate increasing with future aging of the population.

Indexed as

Developing countriesFrequency of useHealth spendingMedical imaging

Identifiers

PMID41310666
PMCPMC12729260

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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.