Morbidity and mortality outcomes in neonates who were transferred from home and hospitals to the only neonatal intensive care unit in Guinea: a descriptive report using routinely collected health data

Int Health. 2019 Nov 13;11(6):455-462. doi: 10.1093/inthealth/ihz001.

Abstract

Background: The Sustainable Development Goal (SDG) for neonatal mortality has identified its reduction as one of the main targets to be achieved by 2030. We provide a descriptive report on neonatal outcomes from the only neonatal intensive care unit (NICU) in Guinea.

Methods: Data collection took place between November 2004 and May 2005 at the NICU of the Institute of Child Health in the capital, Conakry. A descriptive summary of the neonatal, maternal and intrapartum characteristics is reported.

Results: A total of 294 neonates were admitted to the NICU incubators during the study period, transferred either from hospitals (48%) or directly from their homes (52%). The most common reasons for admission were foetal distress (37.1%) and maternal-foetal infections (35.4%). Among 270 neonates with known outcome, the overall mortality among the admitted children remained high at 20.7% (56/270),with a large proportion of the deaths (71.4%, 40/56) occurring within 7 d of their admission. The mortality rate was 23.7% (31/131) among the neonates who were admitted to our NICU after home birth and 17.9% (25/139) among those who were transferred from hospitals (OR: 1.41, 95% CI: 0.75-2.67).

Conclusion: Almost one in every five neonates who were admitted to the NICU incubator died during the study period. More hospitals equipped with NICU facilities are urgently required if Guinea is to achieve the SDG target for neonatal mortality.

Keywords: Guinea; neonatal ICU; neonatal mortality; neonates.

MeSH terms

  • Child, Hospitalized / statistics & numerical data*
  • Female
  • Guinea
  • Humans
  • Infant
  • Infant Mortality / trends*
  • Infant, Newborn
  • Intensive Care Units, Neonatal*
  • Male
  • Morbidity / trends
  • Patient Admission / statistics & numerical data
  • Prevalence