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Ivermectin and the odds of hospitalization due to COVID-19: evidence from a quasi-experimental analysis based on a public intervention in Mexico City

Author

Listed:
  • Merino, José
  • Borja, Victor Hugo
  • Lopez, Oliva
  • Ochoa, José Alfredo
  • Clark, Eduardo
  • Petersen, Lila
  • Caballero, Saul

Abstract

Objective To measure the effect of Mexico City’s population-level intervention –an ivermectin-based Medical Kit – – in hospitalizations during the COVID-19 pandemic. Methods A quasi-experimental research design with a Coarsened Exact Matching method using administrative data from hospitals and phone-call monitoring. We estimated logistic-regression models with matched observations adjusting by age, sex, COVID severity, and comorbidities. For robustness checks separated the effect of the kit from phone medical monitoring; changed the comparison period; and subsetted the sample by hospitalization occupancy, Results We found a significant reduction in hospitalizations among patients who received the ivermectin-based medical kit; the range of the effect is 52%- 76% depending on model specification. Conclusions The study supports ivermectin-based interventions to assuage the effects of the COVID-19 pandemic on the health system.

Suggested Citation

  • Merino, José & Borja, Victor Hugo & Lopez, Oliva & Ochoa, José Alfredo & Clark, Eduardo & Petersen, Lila & Caballero, Saul, 2021. "Ivermectin and the odds of hospitalization due to COVID-19: evidence from a quasi-experimental analysis based on a public intervention in Mexico City," SocArXiv r93g4, Center for Open Science.
    • Handle: RePEc:osf:socarx:r93g4
    DOI: 10.31219/osf.io/r93g4
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    References listed on IDEAS

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    1. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    2. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
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