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Migration and health right: Probabilistic estimate of the factors that impact on health right of the migrant population, Peru 2019–2021

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  • Juan Arroyo-Laguna
  • Mariella Huánuco
  • Pedro La Chira
  • David Jumpa Armas

Abstract

The study aims to identify factors associated with the violation of the right to health of the regular migrant population with respect to the nonmigrant population in Peru during the period 2019–2021, based on the complaints of health services users. It is a three-year cross-sectional and retrospective study on a total population of 122,505 complainants to the National Superintendency of Health (SUSALUD). The types of health rights used were those established in Peruvian Law No. 29414. An unordered multinomial probability model was used to estimate the probability of belonging to five types of violated rights based on the regular migrant and nonmigrant population, and the exogenous variables that affect this probability. The individual significance tests of the model, the tests for combining categories and the test of independence of irrelevant alternatives by means of the Wald and Hausman-McFadden tests were previously taken. The results indicated an increase in complaints from regular migrants of 5.6% in the 2019–2021 period unlike nonmigrants who had a decrease of 12.2%. The greatest probability that health rights of regular migrants are violated refers to access to information and the right to care and recovery, where their probability of violation is 27.7% and 25.4%, respectively (p-v

Suggested Citation

  • Juan Arroyo-Laguna & Mariella Huánuco & Pedro La Chira & David Jumpa Armas, 2023. "Migration and health right: Probabilistic estimate of the factors that impact on health right of the migrant population, Peru 2019–2021," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-15, December.
    • Handle: RePEc:plo:pone00:0288584
    DOI: 10.1371/journal.pone.0288584
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    References listed on IDEAS

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    1. Sofia Gruskin & Laura Ferguson & Shubha Kumar & Alexandra Nicholson & Moazzam Ali & Rajat Khosla, 2017. "A novel methodology for strengthening human rights based monitoring in public health: Family planning indicators as an illustrative example," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-11, December.
    2. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LLC, edition 2, number long2, July.
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