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The Role of Electronic Health Records to Identify Risk Factors for Developing Long COVID: A Scoping Review

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Good Practices and New Perspectives in Information Systems and Technologies (WorldCIST 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 986))

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Abstract

Coronavirus disease 2019 (COVID-19) was considered a global pandemic from December 2019 to May 2023. A subset of COVID-19 patients develops long-lasting sequelae, commonly referred to as long COVID. This scoping review aimed to identify risk factors for long COVID reported in multiple studies and to determine the role of the secondary use of Electronic Health Records to identify these risk factors. An electronic search was conducted on Scopus, PubMed, and Web of Science, and 46 studies were included in this review after the selection process. Thirty-one risk factors were identified, with the most referred ones being female sex, age, severity of infection and obesity. In terms of data collection, Electronic Health Records were used by 63.0% of the studies, although only 21.7% were retrospective studies exclusively based on the secondary use of Electronic Health Records data. These results show that the potential of clinical research based on the secondary use of data collected from Electronic Health Records is not yet fully achieved, despite the respective advantages when compared with other data collection methods such as remote surveys.

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Acknowledgments

This study was carried out within the scope of the course unit Clinical Information Management of the Master’s in Clinical Bioinformatics at the University of Aveiro.

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Authors and Affiliations

  1. Department of Medical Sciences, University of Aveiro, Aveiro, Portugal

    Ema Santos, Afonso Fernandes & Manuel Graça

  2. IEETA, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal

    Nelson Pacheco Rocha

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  1. Ema Santos
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  2. Afonso Fernandes
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  3. Manuel Graça
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  4. Nelson Pacheco Rocha
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Corresponding author

Correspondence to Nelson Pacheco Rocha .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. Institute of Information Technology, Lodz University of Technology, Łódz, Poland

    Aneta Poniszewska-Marańda

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Santos, E., Fernandes, A., Graça, M., Rocha, N.P. (2024). The Role of Electronic Health Records to Identify Risk Factors for Developing Long COVID: A Scoping Review. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-031-60218-4_12

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