Evidence map›Paper›PMID 40767656›Full record

ArticleEinstein (Sao Paulo, Brazil)2025

Analysis of the distribution of health services in the State of São Paulo: focus on Big Data.

Márcio Alexandre Marques, Caio Fernandes Chaves Maximiano, Thiago Gonçalves Dos Santos Martins, Augusto Voltaire do Nascimento

Abstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2025. 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

4 authors.

Márcio Alexandre MarquesInstituto de Ciência e Tecnologia, Engenharia de Controle e Automação, Universidade Estadual Paulista "Júlio de Mesquita Filho", Sorocaba, SP, Brazil.ORCID http://orcid.org/0000-0003-4482-3300
Caio Fernandes Chaves MaximianoInstituto de Ciência e Tecnologia, Engenharia de Controle e Automação, Universidade Estadual Paulista "Júlio de Mesquita Filho", Sorocaba, SP, Brazil.ORCID http://orcid.org/0009-0006-7509-5704
Thiago Gonçalves Dos Santos MartinsInstituto de Ciências Médicas, Universidade Federal do Rio de Janeiro, Macaé, RJ, Brazil.ORCID http://orcid.org/0000-0002-3878-8564
Augusto Voltaire do NascimentoHospital do Servidor Público Estadual Francisco Morato de Oliveira, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-3889-4137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a process (pipeline) for extracting, processing, and analyzing data from the National Registry of Health Establishments in the State of São Paulo, Brazil, to evaluate the distributions of health professionals and services throughout this state.

methodsBig Data resources were used to acquire, process, and aggregate health-related information, with the creation of a relational database for the local storage of processed data. The entire process is implemented using a framework that enables the creation and editing of a series of instructions for performing specific tasks (scripts) in different languages. For the end user interface, an interactive panel of information, metrics, graphs, and numerical indicators was created to show the distribution of health professionals and services across the municipalities of the State of São Paulo.

resultsThe developed tool generates a process for monthly updating of a database, producing a dynamic information report that allows users to perform queries on quantitative and qualitative indicators, providing a general overview of health establishments, and furnishing information on specific health professionals.

conclusionThe preliminary results indicated that the developed tool is potentially scalable and could contribute to the identification of regions of the state requiring action from public authorities, helping to optimize the hiring of doctors and community health agents, among others.

Indexed as

Big DataHealth ServicesBrazilDatabases, FactualHumansRegistries

Identifiers

PMID40767656
PMCPMC12266842

What OpenQuestion holds

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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.