Evidence map›Paper›PMID 38946447›Full record

ArticleEuropean journal of public health2024

PHIRI: lessons for an extensive reuse of sensitive data in federated health research.

Juan González-García, Javier González-Galindo, Francisco Estupiñán-Romero, Martin Thißen, Ronan A Lyons, Carlos Telleria-Orriols, Enrique Bernal-Delgado, Population Health Information Research Infrastructure

Abstract read
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Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Observational
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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

8 authors.

Juan González-GarcíaData Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain.ORCID 0000-0003-3109-5586
Javier González-GalindoData Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain.
Francisco Estupiñán-RomeroData Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain.ORCID 0000-0002-6285-8120
Martin ThißenDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-5710-5650
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, Swansea, UK.
Carlos Telleria-OrriolsData Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain.
Enrique Bernal-DelgadoData Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain.ORCID 0000-0002-0961-3298
Population Health Information Research Infrastructure

Funding

European Union's Horizon 2020 research and innovation programme 101018317
6 · The paper itself

Abstract

backgroundThe extensive and continuous reuse of sensitive health data could enhance the role of population health research on public decisions. This paper describes the design principles and the different building blocks that have supported the implementation and deployment of Population Health Information Research Infrastructure (PHIRI), the strengths and challenges of the approach and some future developments.

methodsThe design and implementation of PHIRI have been developed upon: (i) the data visiting principle-data does not move but code moves; (ii) the orchestration of the research question throughout a workflow that ensured legal, organizational, semantic and technological interoperability and (iii) a 'master-worker' federated computational architecture that supported the development of four uses cases.

resultsNine participants nodes and 28 Euro-Peristat members completed the deployment of the infrastructure according to the expected outputs. As a consequence, each use case produced and published their own common data model, the analytical pipeline and the corresponding research outputs. All the digital objects were developed and published according to Open Science and FAIR principles.

conclusionPHIRI has successfully supported the development of four use cases in a federated manner, overcoming limitations for the reuse of sensitive health data and providing a methodology to achieve interoperability in multiple research nodes.

Indexed as

Data AnalysisRoutinely Collected Health DataHumans

Identifiers

PMID38946447
PMCPMC11215320

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.