Evidence map›Paper›PMID 42267360›Full record

ArticleHealth systems (Basingstoke, England)2026

Designing a minimum-cost health system for countrywide universal coverage.

João Flávio de Freitas Almeida, Fabricio Oliveira, Samuel Vieira Conceição, Virginie Goepp, Francisco Carlos Cardoso de Campos

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 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

5 authors.

João Flávio de Freitas AlmeidaDepartment of Industrial Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-3884-217X
Fabricio OliveiraDepartment of Mathematics and System Analysis, Aalto University, Espoo, Finland.ORCID https://orcid.org/0000-0003-0300-9337
Samuel Vieira ConceiçãoDepartment of Industrial Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-8090-264X
Virginie GoeppInstitut National des Sciences Appliquées, Strasbourg University, Strasbourg, France.ORCID https://orcid.org/0000-0003-2294-7919
Francisco Carlos Cardoso de CamposSchool of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-2172-0181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effectiveness of health systems is achieved through universal coverage, while efficiency is reached by minimizing the cost of delivery. This study presents a novel analysis for designing national health systems, considering workforce, equipment, global costs and accessibility in different geographical contexts. Designed to be a medium- and long-term strategic planning tool, our model offers a practical solution by assessing projected health infrastructure and resources and evaluates health requirements using data from the OECD, the World Bank, OpenStreetMap, and national health statistics. Applied to Brazil, Finland, and France, the analysis is in line with UN Sustainable Development Goal 3.8 and the WHO's Human Resources for Health strategy. The findings suggest that regions with dispersed populations, such as central-western Brazil and northern Finland, would benefit from small hospitals, clinics and health centers. Brazil should hire more health professionals, purchase more radiotherapy equipment and invest $7.95 billion in logistics to reduce patient travel times, particularly for the 1,222 municipalities most affected by low accessibility. Finland would benefit from additional hospital beds and CT scanners, while France could benefit from a more centralized health care model, with municipalities providing all levels of care. France should also invest more in nursing staff and mammography equipment.

Indexed as

Health care planningHealth economicsoptimizationUniversal health coverage

Identifiers

PMID42267360
PMCPMC13244518

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.