International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Gynaecology | Volume 6 Issue 2, February 2017 | Pages: 957 - 962 | India


Estimation of Risk Factors for Conducting Delivery at Home among Baiga Women in Madhya Pradesh: A Multinomial Logistic Regression Analysis

Dinesh Kumar, Ajay Kumar Goel, T. B. Singh

Abstract: Background Place of delivery at home is excessively affects the most backward vulnerable segment of population. Several studies have assessed the association between socio-demographic characteristics and home delivery but only a few have assessed the clean practices, delivery assistant and instrument used to cut the cord when delivery is conducted at home. Traditional birth attendance, cultural norms and believe can be responsible for poor health of mother and new born. Methodology A survey of maternal health care was carried out in Baiga dominated Blocks namely Bajag, Samanapur & Karanjia in Dindori district of Madhya Pradesh state in central India during the period 2009 to 2010. Of 500 ever married women surveyed, 380 currently married women who had experienced maternity during last five years identified for antenatal, natal care practices. The data were collected by conducting interview with women at their residence by trained field investigator after obtaining informed written consent. Results, Out of 380 women 273 (72 %) women were taken at least one ANC checkups and delivered at different places. Age at delivery of first birth having observed 19 years. Most of child birth were conducted at home 350 (92 %) and only 30 (8 %) at health institution. Women illiteracy (OR=1.091, p

Keywords: Child birth at home, Clean practices, traditional norms, Vulnerable population, Tribal group, India

How to Cite?: Dinesh Kumar, Ajay Kumar Goel, T. B. Singh, "Estimation of Risk Factors for Conducting Delivery at Home among Baiga Women in Madhya Pradesh: A Multinomial Logistic Regression Analysis", Volume 6 Issue 2, February 2017, International Journal of Science and Research (IJSR), Pages: 957-962, https://www.ijsr.net/getabstract.php?paperid=ART2017624, DOI: https://dx.doi.org/10.21275/ART2017624

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