Evidence map›Paper›PMID 39762782›Full record

SynthesisBMC public health2025

Open government data in health sector: a systematic literature review open government data in health sector.

Patrícia Nascimento Silva, Sarah Nascimento Silva

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

2 authors.

Patrícia Nascimento SilvaPrograma de Pós-Graduação em Gestão & Organização do Conhecimento, Escola de Ciência da Informação, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-2405-8536
Sarah Nascimento SilvaNúcleo de Avaliação de Tecnologias em Saúde, Grupo de Pesquisa Clínica e Políticas Públicas em Doenças Infecciosas e Parasitárias, Instituto René Rachou, Fundação Oswaldo Cruz, Avenue Augusto de lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-009, Brazil. sarah.nascimento@fiocruz.br.ORCID 0000-0002-1087-9819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpen government data (OGD) in the health sector consolidates transparency, access to information, and collaboration between the government and different sectors of society. It is an essential instrument for health systems and researchers to generate initiatives, drive innovations, and qualify decision-making, whether in health emergencies or supporting the creation of more effective public policies. This review aimed to identify OGD initiatives in healthcare and their possible applications.

methodsA systematic search was conducted in the MEDLINE (PubMed), Web of Science, Scopus, and Scielo databases up to February 12, 2024. Eligibility criteria included original studies that addressed OGD initiatives in public health. Studies using open data to prepare other analyses, reviews, and opinion articles were excluded. The quality methodological of related studies was based on the JBI Critical Appraisal tool. Data extraction included the location of the application, description of the initiative/use of data, themes addressed, data quality, and respective evaluation tools.

resultsOf the 3,176 records initially identified, six studies were included describing initiatives to make available datasets or portals that publish OGD in the healthcare area between 2020 and 2023. Most publications evaluated quality and usability requirements, with five related to the COVID-19 pandemics. There is significant heterogeneity in the data formats available, obtaining, on average, a 3-star rating in the Berners-Lee evaluation model. The availability of open data presents geographic differences, with regions being more developed than others in both the most comprehensive and the most regionalized studies.

conclusionsFew studies using OGD in health were identified in the scientific literature. The heterogeneity of open data formats, the lack of standards, and the quality of the data point to limitations and the need for improvements to enable the use and reliable reuse of this data.

trial registrationPROSPERO CRD42024498446.

Indexed as

Information DisseminationPublic HealthAccess to InformationCOVID-19HumansGovernment health dataOpen government dataOpen government health dataOpen health dataPublic HealthSystematic review

Identifiers

PMID39762782
PMCPMC11705774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.