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Applied Health Economics and Health Policy

, Volume 12, Issue 5, pp 511–522 | Cite as

Examining the Influence of Antenatal Care Visits and Skilled Delivery on Neonatal Deaths in Ghana

  • Monica P. Lambon-Quayefio
  • Nkechi S. Owoo
Original Research Article

Abstract

Background

Many Sub-Saharan African countries may not achieve the Millennium Development goal of reducing child mortality by 2015 partly due to the stalled reduction in neonatal deaths, which constitute about 60 % of infant deaths. Although many studies have emphasized the importance of accessible maternal healthcare as a means of reducing maternal and child mortality, very few of these studies have explored the affordability and accessibility concerns of maternal healthcare on neonatal mortality.

Objective

This study bridges this research gap as it aims to investigate whether the number of antenatal visits and skilled delivery are associated with the risk of neonatal deaths in Ghana.

Methods

Using individual level data of women in their reproductive years from the 2008 Demographic and Health Survey, the study employs an instrumental variable strategy to deal with the potential endogeneity of antenatal care visits.

Results

Estimates from the instrumental variable estimation show that antenatal care visits reduce the risk of neonatal death by about 2 %, while older women have an approximately 0.2 % higher risk of losing their neonates than do younger women.

Conclusion

Findings suggest that women who attend antenatal visits have a significantly lower probability of losing their babies in the first month of life. Further, results show that women’s age significantly affects the risk of losing their babies in the neonatal stage. However, the study finds no significant effect of skilled delivery and education on neonatal mortality.

Keywords

Neonatal Mortality Neonatal Death Birth Interval National Health Insurance Scheme Wealth Quintile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Conflict of interest

The authors declare they have no conflicting interests.

Author contributions

Monica P. Lambon-Quayefio (MLQ) conceived of the study. Both MLQ and Nkechi S. Owoo (NSO) undertook the analysis; a greater portion of the analysis was undertaken by MLQ. MLQ did the write-up of the analysis. Both MLQ and NSO read and approved the final manuscript. MLQ is the guarantor for the overall content of this manuscript.

Funding

There was no funding for this study.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.EconomicsClark UniversityWorcesterUSA
  2. 2.EconomicsUniversity of GhanaAccraGhana

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