Maternal near miss in low-resource areas

  • Robert L. Goldenberg
  • , Sarah Saleem
  • , Sumera Ali
  • , Janet L. Moore
  • , Adrien Lokangako
  • , Antoinette Tshefu
  • , Musaku Mwenechanya
  • , Elwyn Chomba
  • , Ana Garces
  • , Lester Figueroa
  • , Shivaprasad Goudar
  • , Bhalachandra Kodkany
  • , Archana Patel
  • , Fabian Esamai
  • , Paul Nsyonge
  • , Margo S. Harrison
  • , Melissa Bauserman
  • , Carl L. Bose
  • , Nancy F. Krebs
  • , K. Michael Hambidge
  • Richard J. Derman, Patricia L. Hibberd, Edward A. Liechty, Dennis D. Wallace, Jose M. Belizan, Menachem Miodovnik, Marion Koso-Thomas, Waldemar A. Carlo, Alan H. Jobe, Elizabeth M. McClure

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

Objective: To describe the Global Network Near-Miss Maternal Mortality System and its application in seven sites. Methods: In a population-based study, pregnant women eligible for enrollment in the Maternal and Newborn Health Registry at seven sites (Democratic Republic of the Congo; Guatemala; Belagavi and Nagpur, India; Kenya; Pakistan; and Zambia) between January 2014 and April 2016 were screened to identify those likely to have a near-miss event. The WHO maternal near-miss criteria were modified for low-resource settings. The ratio of near-miss events to maternal deaths was calculated. Results: Among 122 707 women screened, 18 307 (15.0%) had a potential near-miss event, of whom 4866 (26.6%; 4.0% of all women) had a near-miss maternal event. The overall maternal mortality ratio was 155 per 100 000 live births. The ratio of near-miss events to maternal deaths was 26 to 1. The most common factors involved in near-miss cases were the hematologic/coagulation system, infection, and cardiovascular system. Conclusion: By using the Global Network Near-Miss Maternal Mortality System, large numbers of women were screened for near-miss events, including those delivering at home or a low-level maternity clinic. The 4.0% incidence of near-miss maternal mortality is similar to previously reported data. The ratio of 26 near-miss cases to 1 maternal death suggests that near miss might evaluate the impact of interventions more efficiently than maternal mortality.

Original languageEnglish (US)
Pages (from-to)347-355
Number of pages9
JournalInternational Journal of Gynecology and Obstetrics
Volume138
Issue number3
DOIs
Publication statusPublished - Sept 2017

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

Keywords

  • Low- and middle-income countries
  • Maternal mortality
  • Maternal near miss

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