Data linkage in public health research: a scoping review of ethical, legal and societal aspects surrounding administrative data

Main Article Content

Félix Jesus Neves
Mauricio Lima Barreto
Valerie Wells
Martha Silveira
Bethânia Araújo Almeida

Abstract

Objective
The application of data linkage for scientific research purposes in the public health sphere requires using personal and sensitive data on an individual level while results are analyzed from a population perspective. Considering this, ethical, legal and social issues (ELSI) must be considered. In this sense, our study aims to better understand how ELSI surrounding administrative data linkage use in public health has been addressed in the scientific literature.


Approach
Our scoping review is based on the Joann Briggs Institute Manual for Evidence Synthesis and will be reported according to the Preferred Report Items for Systematic Reviews and Meta-Analyses – Scoping Review Guideline. Two independent authors searched for articles published between January 2013 and December 2023 in the PubMed/MEDLINE, Web of Science, EMBASE and LILACS databases, as well as in Scielo and Google Scholar platforms. Keywords used were related to ‘data linkage’, ‘administrative data’, ‘ELSI’, “public policies’ and ‘public health’ terms. Articles were screened initially by title and abstract, then by full-text read. 


Results
After duplicate removal and articles screening, two independent authors are performing data extraction considering ethical, legal and regulatory basis as well as procedures for data access; data management process including record linkage; type of administrative data linked; data protection strategies; and data subjects rights.


Considerations
This scoping is underway, we intend to have our final results by April to present at the conference, in September.

Article Details

How to Cite
Jesus Neves, F., Lima Barreto, M., Wells, V., Silveira, M. and Araújo Almeida, B. (2024) “Data linkage in public health research: a scoping review of ethical, legal and societal aspects surrounding administrative data”, International Journal of Population Data Science, 9(5). doi: 10.23889/ijpds.v9i5.2716.