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Preventability of maternal near miss and mortality in Rwanda: A case series from the University Teaching Hospital of Kigali (CHUK).

Publication ,  Journal Article
Benimana, C; Small, M; Rulisa, S
Published in: PLoS One
2018

OBJECTIVE: Assess the primary causes and preventability of maternal near misses (MNM) and mortalities (MM) at the largest tertiary referral hospital in Rwanda, Kigali University Teaching Hospital (CHUK). METHODS: We reviewed records for all women admitted to CHUK with pregnancy-related complications between January 1st, 2015 and December 31st, 2015. All maternal deaths and near misses, based on WHO near miss criteria were reviewed (Appendix A). A committee of physicians actively involved in the care of pregnant women in the obstetric-gynecology department reviewed all maternal near misses/ pregnancy-related deaths to determine the preventability of these outcomes. Preventability was assessed using the Three Delays Model.[1] Descriptive statistics were used to show qualitative and quantitative outcomes of the maternal near miss and mortality. RESULTS: We identified 121 maternal near miss (MNM) and maternal deaths. The most common causes of maternal near miss and maternal death were sepsis/severe systemic infection (33.9%), postpartum hemorrhage (28.1%), and complications from eclampsia (18.2%)/severe preeclampsia (5.8%)/. In our obstetric population, MNM and deaths occurred in 87.6% and 12.4% respectively. Facility level delays (diagnostic and therapeutic) through human error or mismanagement (provider issues) were the most common preventable factors accounting for 65.3% of preventable maternal near miss and 10.7% maternal deaths, respectively. Lack of supplies, blood, medicines, ICU space, and equipment (system issues) were responsible for 5.8% of preventable maternal near misses and 2.5% of preventable maternal deaths. Delays in seeking care contributed to 22.3% of cases and delays in arrival from home to care facilities resulted in 9.1% of near misses and mortalities. Cesarean delivery was the most common procedure associated with sepsis/death in our population. Previous cesarean delivery (24%) and obstructed/prolonged labor (13.2%) contributed to maternal near miss and mortalities. CONCLUSION: The most common preventable causes of MNM and deaths were medical errors, shortage of medical supplies, and lack of patient education/understanding of obstetric emergencies. Reduction in medical errors, improved supply/equipment availability and patient education in early recognition of pregnancy-related danger signs will reduce the majority of delays associated with MNM and mortality in our population.

Duke Scholars

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2018

Volume

13

Issue

6

Start / End Page

e0195711

Location

United States

Related Subject Headings

  • Rwanda
  • Retrospective Studies
  • Pregnancy
  • Models, Biological
  • Maternal Mortality
  • Humans
  • Hospitals, Teaching
  • General Science & Technology
  • Female
  • Abortion, Spontaneous
 

Citation

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Chicago
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Benimana, C., Small, M., & Rulisa, S. (2018). Preventability of maternal near miss and mortality in Rwanda: A case series from the University Teaching Hospital of Kigali (CHUK). PLoS One, 13(6), e0195711. https://doi.org/10.1371/journal.pone.0195711
Benimana, Christophe, Maria Small, and Stephen Rulisa. “Preventability of maternal near miss and mortality in Rwanda: A case series from the University Teaching Hospital of Kigali (CHUK).PLoS One 13, no. 6 (2018): e0195711. https://doi.org/10.1371/journal.pone.0195711.
Benimana, Christophe, et al. “Preventability of maternal near miss and mortality in Rwanda: A case series from the University Teaching Hospital of Kigali (CHUK).PLoS One, vol. 13, no. 6, 2018, p. e0195711. Pubmed, doi:10.1371/journal.pone.0195711.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2018

Volume

13

Issue

6

Start / End Page

e0195711

Location

United States

Related Subject Headings

  • Rwanda
  • Retrospective Studies
  • Pregnancy
  • Models, Biological
  • Maternal Mortality
  • Humans
  • Hospitals, Teaching
  • General Science & Technology
  • Female
  • Abortion, Spontaneous