Women's choice of delivery site and the surge in private facility-based deliveries in Pakistan: A 28-year trend analysis

Sex Reprod Healthc. 2020 Mar:23:100484. doi: 10.1016/j.srhc.2019.100484. Epub 2019 Dec 16.

Abstract

Objective: This paper aims at estimating the long-term trends of facility-based and home-based deliveries and identifies the factors associated with the choice of delivery site.

Study design: Secondary analysis evaluating the trends in the choice of the delivery site by women of reproductive age using Pakistan Demographic and Health Surveys from 1990-91 to 2017-18.

Main outcome measures: The main outcome measure of this study is the choice of delivery site.

Method: This study used data from four waves of Pakistan Demographic and Health Surveys (DHS) corresponding with 1990-91, 2006, 2012-13 and 2017-18. Logistic regression was used for empirical analysis.

Results: The odds of home delivery significantly came down in 2017-18 relative to 1990-91 (OR = 0.09; 95% CI:0.08-0.12; P < 0.001), growth in the likelihood of institutional delivery shows wide disparities. While the odds of delivery at the public health facility nearly doubled from 1990 to 91 to 2017-18 (OR = 2.12; 95% CI:1.70-2.65; P < 0.001), the odds of delivery at the private health facilities in the same period increased nearly eight times (OR = 7.78; 95% CI:6.45-9.38; P < 0.001).

Conclusion: Results suggest an investment gap in public health facilities and an inequitable health care system in Pakistan.

Keywords: Catastrophic health expenditure; DHS; Institutional delivery; Private healthcare.

MeSH terms

  • Adult
  • Choice Behavior
  • Delivery, Obstetric / statistics & numerical data*
  • Female
  • Health Facilities / statistics & numerical data
  • Health Services Accessibility / statistics & numerical data*
  • Home Childbirth / statistics & numerical data
  • Humans
  • Maternal Health Services
  • Pakistan
  • Patient Preference / statistics & numerical data*
  • Pregnancy
  • Private Facilities / statistics & numerical data*
  • Socioeconomic Factors