Skip to main navigation Skip to search Skip to main content

Tendencia y distribución regional de la mortalidad materna en el Perú: 2015-2019

Translated title of the contribution: Maternal mortality trend and regional distribution in Peru: 2015-2019
  • Víctor Eduardo Román-Lazarte
  • , María Fernanda Fernández-Fernández
  • , Diana Huanco-Apaza

Research output: Contribution to journalOriginal Articlepeer-review

5 Scopus citations

Abstract

OBJECTIVE: Describe the trend and regional distribution of maternal mortality in Peru between 2015 and 2019. MATERIALS AND METHODS: A retrospective observational study was carried out based on the cases of maternal death (MM) registered in the National Repository of Health Information (REUNIS) of Peru between 2015 and 2019. The data were analyzed using the maternal mortality ratio (MMR) per 100,000 live births (NV). RESULTS: A descending maternal mortality trend was observed (415 cases in 2015 to 302 in 2019) and a MMR of 76.34. The mean age was 29.2 years (± 7.8). The highest MMRs were observed in women from the Peruvian jungle (195.1), with home birth (1754.8), and attended in institutions of the first level of care (113.5). The region with the most cases of MM was the Peruvian Sierra (37.61%). CONCLUSION: In the study period, the MMR in Peru had a slight decrease, with a downward trend. Only 9 regions achieved an MMR <70.

Translated title of the contributionMaternal mortality trend and regional distribution in Peru: 2015-2019
Original languageSpanish
Pages (from-to)833-843
Number of pages11
JournalGinecologia y Obstetricia de Mexico
Volume90
Issue number10
DOIs
StateIndexed - Oct 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Asociacion Mexicana de Ginecologia y Obstetricia. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Maternal mortality trend and regional distribution in Peru: 2015-2019'. Together they form a unique fingerprint.

Cite this