• 65
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 

 Table of Contents  
Year : 2014  |  Volume : 9  |  Issue : 3  |  Page : 101

Determinants of non-institutional deliveries

Department of Obstetrics and Gynaecology, Abia State University Teaching Hospital, PMB 7004, Aba, Abia State, Nigeria

Date of Web Publication15-Nov-2014

Correspondence Address:
Stephen Onwere
Department of Obstetrics and Gynaecology, Abia State University Teaching Hospital, PMB 7004, Aba, Abia State
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/9783-1230.144769

Rights and Permissions

How to cite this article:
Onwere S. Determinants of non-institutional deliveries. J Med Investig Pract 2014;9:101

How to cite this URL:
Onwere S. Determinants of non-institutional deliveries. J Med Investig Pract [serial online] 2014 [cited 2018 Aug 24];9:101. Available from: http://www.jomip.org/text.asp?2014/9/3/101/144769

Studies in determinant of non-institutional deliveries are interested in millennium development goals (MDGs) number 5, which aims at reducing maternal mortality by 75percent 75% between 1990 and 2015. [1] The major causes of maternal mortality in developing countries are haemorrhagehemorrhage, eclampsia, malaria, infections, abortions and complications of obstructed labourlabor. [2] A closer look at these factors indicates that these causes of maternal mortality are preventable if health facilities are used during pregnancy and delivery. [3] Unfortunately, in developing countries, the use of health facilities is limited due to, among other factors, poor accessibility in terms of distance, inadequate transport infrastructure, poverty and culture. [4]

A literature review of the determinants of delivery service use showed that there is ample evidence that higher maternal age, education and household wealth and lower parity increase use, as does urban residence. Facility use in the previous delivery and antenatal care use are also highly predictive of health facility use for the index delivery, though this may be due to confounding by service availability and other factors. [5] A Kenyan study found that living in urban areas, being wealthy, more educated, using antenatal services optimally and lower parity strongly predicted where women delivered, and so did region, ethnicity, and type of facilities used. [6] Findings from a Malawian study indicate that home deliveries were associated with age, region, type of residence, education, the use of contraceptives, wealth status, the number of children ever born and the number of prenatal visits. [3]

A Nigerian study from Aba, South Eastern Nigeria found that age, marital status, education, work category were all statistically significant for the use of non-institutional birth place choices. [7] Thus, these factors that have been shown by various studies to be determinants of non-institutional deliveries should be considered in the design of interventions aimed at reducing the proportion of non-institutional deliveries.

  References Top

United Nations. United Nations Millenium Declaration Fifty-fifth Session of the United Nations General Assembly. (General Assembly Document, No. A/RES/55/2). New York: United Nations; 2000.  Back to cited text no. 1
Genbbels E. Epidemiology of maternal mortality in Malawi. Malawi Med J 2007;18:206-25.  Back to cited text no. 2
Palamuleni M. Determinants of non-institutional deliveries in Malawi. Malawi Med J 2011;23:104-8.  Back to cited text no. 3
Kruk ME, Prescott MR, Galea S. Equity of skilled birth attendant utilization in developing countries: Financing and policy determinants. Am J Public Health 2008;98:142-7.  Back to cited text no. 4
Gabrysch S, Campbell OM. Still too far to walk: Literature review of the determinants of delivery service use. BMC Pregnancy Childbirth 2009;9:34.  Back to cited text no. 5
Kitui J, Lewis S, Davey G. Factors influencing place of delivery for women in Kenya: An analysis of the Kenya demographic and health survey, 2008/2009. BMC Pregnancy Childbirth 2013;13:40.  Back to cited text no. 6
Nduka I, Nduka EC. Determinants of non-institutional deliveries in an urban community in Nigeria. J Med Investig Pract 2014;10:102-7.  Back to cited text no. 7


Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

  In this article

 Article Access Statistics
    PDF Downloaded179    
    Comments [Add]    

Recommend this journal