Disruptions of Contraceptive Use in India - Singh, Rohit Kumar
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The Study to examine the failure and abandonment by different spacing methods of family planning and to know the reasons behind contraceptive failure and abandonment by method. We tested the hypothesis- Women from poor economic status tend to have higher relative risk for abandonment and Women having health related reasons more likely to discontinue family planning method. The data for the present study is taken from the third round of National Family Health Survey (NFHS-3) conducted during 2005-06. Cox-regression model has been used to analyze calendar data. The study shows that mainly…mehr

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Produktbeschreibung
The Study to examine the failure and abandonment by different spacing methods of family planning and to know the reasons behind contraceptive failure and abandonment by method. We tested the hypothesis- Women from poor economic status tend to have higher relative risk for abandonment and Women having health related reasons more likely to discontinue family planning method. The data for the present study is taken from the third round of National Family Health Survey (NFHS-3) conducted during 2005-06. Cox-regression model has been used to analyze calendar data. The study shows that mainly fertility and health related reasons were the reasons behind discontinue for the last method. Method related reason was also having its significance in abandonment of the last method in all the selected states. Pearl pregnancy index was generally lower for five years exposure period as compare to three years exposure. In all the cases, those women who had desire for additional child have higher relative risk to discontinue the method.
Autorenporträt
Mr.Rohit Kumar Singh working as a Senior Research Officer in International Institute for Population Sciences,Mumbai,India. Obtained his M.Phil degree in population Studies and expertise in handling large scale survey data such as RCH,NFHS,Climate data & Census of India and statistical analysis such as bivariate,multivariate and regression analysis.