Evidence map›Paper›PMID 40186142›Full record

ArticleBMC medical research methodology2025

Public engagement with science: an inclusive approach to innovate in health research with real-world data.

Adalton Dos Anjos Fonseca, Valentina Martufi, Walisson Angélico de Araújo, Denise Moraes Pimenta, Acácia Mayra Pereira de Lima, Juliana Araújo Prata de Faria, Danilo Luis Cerqueira Dias, Eduarda Ferreira Dos Anjos, Maria Del Pillar Flores Quispe, Gisela Rodrigues Piloto and 11 more

Abstract read
In one paragraph

Article in BMC medical research methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

21 authors.

Adalton Dos Anjos FonsecaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil. adalton.anjos@gmail.com.
Valentina MartufiCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Walisson Angélico de AraújoCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Denise Moraes PimentaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Acácia Mayra Pereira de LimaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Juliana Araújo Prata de FariaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Danilo Luis Cerqueira DiasCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Eduarda Ferreira Dos AnjosCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Maria Del Pillar Flores QuispeCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Gisela Rodrigues PilotoMunicipal Health Secretary of Salvador, Salvador, Brazil.
Vivian Mitiko Queiroz LimaMunicipal Health Secretary of Salvador, Salvador, Brazil.
Felipe FerréNational Council of State Health Secretaries (Conass), Brasília, Brazil.
Marcos Antônio Gêmeos Almeida SampaioState Health Council of Bahia, Salvador, Brazil.
Erika de Souza LopesUmane, São Paulo, Brazil.
Blanda Helena de MelloMinistry of Health, Brasília, Brazil.
Diego Cavalcante Teixeira DaltroState Health Secretary of Bahia, Salvador, Brazil.
Mariana Rodrigues Sebastião de AlmeidaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Raiza Tourinho LimaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Elzo Pereira Pinto JuniorCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Mauricio L BarretoCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Maria Yury T IchiharaCentre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.

Funding

Gates Foundation INV-006196This work has been financed by The Bill & Melinda Gates Foundation Grants INV-006196 and INV-061098)
6 · The paper itself

Abstract

backgroundPublic engagement with science (PES) initiatives in health research that use big data to analyze social inequalities in health requires strategies and methods adapted to the contexts of countries in the Global South. This paper aims to examine how, in Brazil - a country with a strong tradition of social participation in research and public policymaking-two research projects from a center that utilizes administrative and real-world data incorporate inclusion and diversity as key elements to connect knowledge production with real-world challenges.

methodsThe study analyzes how two Cidacs research projects - one related to Primary Health Care (PHC) and the other to Data Interoperability-involved members of the public throughout their implementation. Both projects jointly engaged 18 participants, including community representatives, health professionals, and public sector managers. A case report approach is being employed in this paper to systematically document PES experiences based on a predefined script, covering context, methodology, activities, audiences, and ethical aspects. Data were collected through participant observation and listening during engagement activities, which facilitated dialogue between participants and researchers, as well as through follow-up questionnaires and subsequent discussions. This paper itself emerged from this collaborative process, including with some PES participants as co-authors.

resultsThe participants' collaboration impacted the researchers' decisions, providing a closer understanding of the challenges faced by the participants in their daily work in relation to each of the research themes. Furthermore, these discussions resulted in the establishment of partnerships for new initiatives. The participants highlighted that, in addition to the opportunity to contribute to the development of scientific research, they acquired new knowledge from their contact with the research teams.

conclusionsThe diversity of social groups and the inclusion of different perspectives in research projects mobilized by PES have the potential to promote innovations in research processes and results, as well as have social impact. The potential for applicability of scientific information is expanded since it is more connected to the real world, and the participants themselves drive the dissemination process.

Indexed as

Biomedical ResearchCommunity ParticipationBig DataBrazilHumansPrimary Health CareData InteroperabilityHealth DataPrimary Health CarePublic Engagement with ScienceReal-World Data

Identifiers

PMID40186142
PMCPMC11970009

What OpenQuestion holds

Textmetadata
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.