Evidence map›Paper›PMID 42295600›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2026

Evidence-Based Planning of High-Complexity Healthcare Networks at National Level: Integrating Mortality Records, Accessibility Metrics, and Facility Location Optimization Models.

Nicolas Rincon-Garcia, Santiago Aguirre, Rafael Guillermo García-Cáceres

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In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nicolas Rincon-GarciaDepartment of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia. nicolas.rincon@javeriana.edu.co.
Santiago AguirreBusiness Information System Department, Central Michigan University, Mount Pleasant, USA.
Rafael Guillermo García-CáceresUniversidad Pedagógica y Tecnológica de Colombia, Sogamoso, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a four-step methodology to analyze and improve the provision of high-complexity healthcare services (HCHS) at national level: (i) data analysis and identification of municipalities with a concentration of HCHS provision, referred to as supplier municipalities; (ii) measurement of accessibility to supplier municipalities; (iii) identification of new facility locations through optimization techniques; and (iv) determination of the level of service provision required at the new locations. The proposed methodology is applied to the case of Colombia, where 65.25% of deaths occur in medical facilities. An analysis of the national database shows that in supplier municipalities, 92.8% of residents die in the same municipality, whereas in other municipalities this proportion decreases to 55.2%, indicating travel patterns among critically ill patients to supplier municipalities. Optimization methods are then used to identify locations for new HCHS facilities; the addition of 10 new locations improves coverage for 3,842,920 inhabitants within a 120 km range of HCHS.

Indexed as

Facility locationHealthcare accessibilityHealthcare network designHospital locationMortality rate

Identifiers

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.