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Let us see what are the best 5 free Gmail backup Tools available for Mac Users. Kathmandu, Nepal: Ministry of Health and population, new ERA, and ICF international, Calverton, Maryland 2012. Nepal Demographic and Health Survey 2011. Ministry of Health and Population (MOHP), New ERA, and ICF International Inc.
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Can midlevel health-care providers administer early medical abortion as safely and effectively as doctors? A randomized controlled equivalence trial in Nepal. Warriner IK, Wang D, Huong NT, Thapa K, Tamang A, Shah I, et al. Singh S, Wulf D, Hussain R, Bankole A, Sedgh G. Global causes of maternal death: a WHO systematic analysis. Say Lale, Chou Doris, Gemmill Alison, Tunçalp Özge, Moller Ann-Beth, Daniels Jane, Gülmezoglu A Metin, Temmerman Marleen, Alkema Leontine. World Health Organization (WHO) Maternal Mortality. Therefore, intervention studies among these target groups are warranted.Ībortion Demographic and health survey Determinants Nepal demographic and health survey Prevalence Unsafe abortion. Young, poorest and uneducated women were more likely to undergo unsafe abortions. Education, religion, age, knowledge about legal abortion and safe places to undergo abortion were the major decisive factors associated with abortion. The prevalence of abortion in Nepal remains high. Educated women of 25-34 years reporting "health risk" as the reason for abortion had a decidedly lower probability (< 10.0%) than the others of going through the unsafe abortion. Likewise, women in age group 25-34 years (OR 0.43 95% CI 0.19, 0.97) and those who were in the richest wealth quintile (OR 0.10 95% CI 0.04, 0.25) were less likely to undergo an unsafe abortion. Women of Buddhist religion (OR 2.15 95% CI 1.04, 4.44), those who were literate (secondary level education OR 1.69 95% CI 1.22, 2.34), those who knew about legal abortion (OR 1.88 95% CI 1.41, 2.52) and those who were aware of safe places for abortion services (OR 4.96 95% CI 3.04, 8.09) were more likely to undergo an abortion. The five-year prevalence of abortion was 21.1% among women of reproductive age who ever had a terminated pregnancy and 16.0% of total abortions were unsafe. The interaction of the reason for abortion with age and educational status in predicting unsafe abortion was calculated using the predictive margins and their 95% CI.
Binary logistic regression was used to calculate odds ratios (ORs) and 95% Confidence Intervals (CIs) of abortions and unsafe abortions due to demographic, socio-economic and lifestyle-related characteristics. Unsafe abortion was defined according to the providers of abortion services. The survey elicited information on the most recent abortion.
Women who had ever had a terminated pregnancy (n = 2395) were studied. This study is based on a nationally representative sample of the Nepal Demographic and Health Survey 2011. We aimed to investigate the prevalence and factors associated with abortion and unsafe abortion in Nepal. In Nepal, abortion is reported to be the third leading cause of maternal death. Abortion is one of the leading causes of maternal death in low- and middle-income countries.
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