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Asian Development Policy Review

June 2014, Volume 2, 2, pp 39-46

Which Factors Affect Probability of Women Using Prenatal Care? The Case of Bangladesh

Sharjil Muktafi Haque

,

A. K. Enamul Haque

Sharjil Muktafi Haque 1 A. K. Enamul Haque 1 

  1. Department of Economics, East West University, Dhaka, Dhaka, Bangladesh 1


Abstract:

This paper determines the probability of women in Bangladesh taking prenatal care based on changes in socioeconomic and health-related variables. Insight into factors affecting prenatal care usage will help policy-makers redirect health-related strategies and policies in more equitable directions. We used a total of 1,099 cross-sectional observations from Bangladesh Bureau of Statistics (2000) to estimate a logistic regression model. Our results show that education and income is positively associated with odds of women taking prenatal care while increase in age reduces odds of taking this service. We end by making several policy-relevant recommendations. 
Contribution/ Originality
The study contributes to the existing literature by utilizing a dataset new to the context of analyzing determinants of prenatal care in Bangladesh and confirming the impact of several variables on prenatal care usage.

Keywords:


Reference:

  1. Akanda, A.S., 2010. Demand for antenatal care in Bangladesh: An application of two-part model. South Asian Journal of Population and Health, 3(1): 29-41.
  2. Alexandre, P.S.-J., 2005. Prenatal care utilization in rural areas and urban areas of haiti. Pan America Journal of Public Health, 18(2): 84-92.
  3. Bangladesh Bureau of Statistics, 2000. Report of household income expenditure survey (HIES). Planning Division, Government of the People's Republic of Bangladesh.
  4. Chakraborty, M.A., 2003. Determinants of the use of maternal health services in rural Bangladesh. Health Promotion International, 18(4): 327-337.
  5. EC/UNFPA, 2000. Making pregnancy and childbirth safer (Fact Sheet). EC UNFPA Initiative for reproductive health in Asia in cooperation with the German foundation for World Population.
  6. Greene, W., 2003. Econometric analysis. New Jersey: Pearson Education.
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  8. Kwast, B., 1996. Reduction of maternal and perinatal mortality in rural and pen-urban setting: What works. Eur J Obstet Gynecol Reprod Biol, 69(47): 53.
  9. Nisar, E.W.N., 2003. Factors affecting utilization of antenatal care among reproductive agre group women in an urban squatter settlement of Karachi. Journal of Pakistan Medical Association, 53(2): 47-53.
  10. Shahjahan, H.A.M., 2012. Factors associated with use of antenatal care services in a rural area of Bangladesh. South East Asia Journal Of Public Health, 2(2): 61-66.
  11. The World Bank Group, 2012. Healthcare expenditure, total (% of GDP). Available from www.worldbank.org: http://data.worldbank.org/indicator/SH.XPD.TOTL.ZS [Accessed February 2014].
  12. UNDP, 2008. UNDP human development index statistical update. UNDP-Bangladesh.
  13. White, H., 1980. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4): 817-838.
  14. Yucesoy, O.B., 2005. Maternal and perinatal outcome in pregnancies complicated with hypertensive disorder of pregnancy: A seven year experience of a tertiary care center. Archives of Gynecology and Obstetrics, 273(1): 43-49.

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Funding:

Competing Interests:

Acknowledgement:


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