Research Article
Volume 9 Issue 3 - 2020
Prevalence and Predictors of Unintended Pregnancy in Pakistan: Findings from Pakistan Demographic Health Survey 2012-13
Shiyam Sunder Tikmani1*, Sumera Aziz Ali1, Margo Harrison2, Sana Roujani1 and Sarah Saleem1
1Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
2Department of Obstetrics and Gynecology, Columbia University, USA
*Corresponding Author: Shiyam Sunder Tikmani, Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Received: January 09, 2020; Published: February 20, 2020


Purpose: Unintended pregnancies may carry serious consequences for women and their families, including unsafe abortion, delayed prenatal care, poor maternal mental health, and poor child health outcomes. There is limited data available on the prevalence and predictors of unintended pregnancy from Pakistan. Thus, the objectives of this study were to determine the prevalence and determinants of unintended pregnancy in Pakistan.

Description: This secondary data analysis was performed on data from the 2012-13 Pakistan Demographic and Health Survey (PDHS). A total of 3,756 women were included in the analysis. Multiple logistic regression analysis was performed to identify the predictors of unintended pregnancy. 

Results: The prevalence of unintended pregnancy in Pakistan was 19.4% (95% CI: 18.2% - 20.7%). The multivariable model showed that women who were more than 35 years of age (AOR 7.7, 95% CI: 4.2 - 14.2); had past history of spontaneous termination of pregnancy (AOR 1.4 times 95% CI: 1.1 - 1.8), had an unplanned last born child (AOR 14, 95%CI: 10.1 - 19.2); who were illiterate (AOR 2.5, 95% CI: 1.4 - 4.6); and belonged to lowest quintile of SES (AOR 3 95% CI: 1.7 - 5.4) were more at Odds of having an unplanned pregnancy as compared to their counterparts. 

Conclusion: The prevalence of unintended pregnancy in Pakistan was high. Older women, women with a history of termination of pregnancy, uneducated women, and women from poor socioeconomic strata were more likely to experience unintended pregnancies than their counterparts.

Keywords: Unintended Pregnancy; Pakistan; Prevalence; Predictors


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Citation: Shiyam Sunder Tikmani., et al. “Prevalence and Predictors of Unintended Pregnancy in Pakistan: Findings from Pakistan Demographic Health Survey 2012-13”. EC Gynaecology 9.3 (2020): 01-08.

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