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Understanding Health Care Access in Higher Education Students

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Optimization, Learning Algorithms and Applications (OL2A 2021)

Abstract

This study aims to evaluate the accessibility to healthcare by the higher education students and its determinants. A cross-sectional study was conducted in April 2018 by applying a questionnaire to 2051 students of the Polytechnic Institute of Bragança. Logistic regression models were used to identify the determinants that affect or hinder access to health care services in the city of Bragança. Among the main outcomes, the female students enrolled 4 to 12 months ago and the students who have chronic illness for those enrolled 13 to 24 months ago were associated with a greater need for access to health care. The nationality was associated with greater need and difficulty in accessing to health care. The inequities found with regard to foreign students should be debated in order to find solutions.

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Notes

  1. 1.

    The epidemiological investigation protocol of this study was submitted and approved by the Ethics Committee of the Institute of Public Health of the University of Porto in January 2018.

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Correspondence to Clara B. Vaz .

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Vaz, F.J.A., Vaz, C.B., Cadinha, L.C.D. (2021). Understanding Health Care Access in Higher Education Students. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2021. Communications in Computer and Information Science, vol 1488. Springer, Cham. https://doi.org/10.1007/978-3-030-91885-9_39

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  • DOI: https://doi.org/10.1007/978-3-030-91885-9_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91884-2

  • Online ISBN: 978-3-030-91885-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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