Literature DB >> 15720847

Female sterilisation in rural Bihar: what are the acceptor characteristics?

Amardeep Thind1.   

Abstract

OBJECTIVE: The National Population Policy aims to expand voluntary and informed use of contraceptive services. This paper examines the determinants of use of female sterilisation versus other contraceptive methods in rural Bihar, one of the most socially and economically deprived states in India.
METHODS: Data for 1378 ever-married women aged 15-49 years in rural Bihar, who are currently using contraception, were abstracted from the Second National Family Health Survey. A logistic regression model was developed to understand the determinants of use of female sterilisation versus other contraceptive methods.
RESULTS: Maternal age, the number of living sons, religion, scheduled caste/tribe/backward class status, exposure to mass media and household standard of living are statistically significant determinants of the choice between sterilisation and other contraceptive methods.
CONCLUSION: The study underscores the need to significantly broaden the contraceptive choice for women in rural Bihar.

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Year:  2005        PMID: 15720847     DOI: 10.1783/0000000052972762

Source DB:  PubMed          Journal:  J Fam Plann Reprod Health Care        ISSN: 1471-1893


  3 in total

1.  Son preference and sterilisation use among young married women in two slums in Bengaluru city, India.

Authors:  Jeffrey Edmeades; Rohini Prabha Pande; Tina Falle; Suneeta Krishnan
Journal:  Glob Public Health       Date:  2011

2.  Determinants of maternity care services utilization among married adolescents in rural India.

Authors:  Prashant Kumar Singh; Rajesh Kumar Rai; Manoj Alagarajan; Lucky Singh
Journal:  PLoS One       Date:  2012-02-15       Impact factor: 3.240

3.  Individual- and country-level correlates of female permanent contraception use in sub-Saharan Africa.

Authors:  Babayemi O Olakunde; Jennifer R Pharr; Lung-Chang Chien; Rebecca D Benfield; Francisco S Sy
Journal:  PLoS One       Date:  2020-12-15       Impact factor: 3.240

  3 in total

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