Prevalence and determinants of unintended pregnancies amongst women attending antenatal clinics in Pakistan

Muhammad Atif Habib, Camille Raynes-Greenow, Sidrah Nausheen, Sajid Bashir Soofi, Muhammad Sajid, Zulfiqar A. Bhutta, Kirsten I. Black

Research output: Contribution to journalArticlepeer-review

64 Citations (Scopus)

Abstract

Background: Unintended pregnancies are a global public health concern and contribute significantly to adverse maternal and neonatal health, social and economic outcomes and increase the risks of maternal deaths and neonatal mortality. In countries like Pakistan where data for the unintended pregnancies is scarce, studies are required to estimate its accurate prevalence and predictors using more specific tools such as the London Measure of Unplanned Pregnancies (LMUP). Methods: We conducted a hospital based cross sectional survey in two tertiary care hospitals in Pakistan. We used a pre tested structured questionnaire to collect the data on socio-demographic characteristics, reproductive history, awareness and past experience with contraceptives and unintended pregnancies using six item the LMUP. We used Univariate and multivariate analysis to explore the association between unintended pregnancies and predictor variables and presented the association as adjusted odds ratios. We also evaluated the psychometric properties of the Urdu version of the LMUP. Results: Amongst 3010 pregnant women, 1150 (38.2%) pregnancies were reported as unintended. In the multivariate analysis age < 20 years (AOR 3.5 1.1-6.5), being illiterate (AOR 1.9 1.1-3.4), living in a rural setting (1.7 1.2-2.3), having a pregnancy interval of = < 12 months (AOR 1.7 1.4-2.2), having a parity of >2 (AOR 1.4 1.2-1.8), having no knowledge about contraceptive methods (AOR 3.0 1.7-5.4) and never use of contraceptive methods (AOR 2.3 1.4-5.1) remained significantly associated with unintended pregnancy. The Urdu version of the LMUP scale was found to be acceptable, valid and reliable with the Cronbach's alpha of 0.85. Conclusions: This study explores a high prevalence of unintended pregnancies and important factors especially those related to family planning.

Original languageEnglish
Article number156
JournalBMC Pregnancy and Childbirth
Volume17
Issue number1
DOIs
Publication statusPublished - 30 May 2017

Keywords

  • Contraceptive methods
  • Family planning
  • London measure of unplanned pregnancies
  • Pakistan
  • Unintended pregnancies

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