Predisposing, enabling, and need factors associated with utilization of institutional delivery services: A community-based cross-sectional study in far-western Nepal

Women Health. 2018 Jan;58(1):51-71. doi: 10.1080/03630242.2016.1267689. Epub 2016 Dec 8.

Abstract

Use of institutional delivery services can be effective in reducing maternal and infant mortality. In Nepal, however, the majority of women deliver at home. Using Andersen's behavioral model of use of health care services, this cross-sectional study aimed to identify factors associated with use of institutional delivery services in four villages and one municipality in Kailali district, Nepal. Mothers (N = 500) who had given birth in the 5 years preceding the survey (conducted between January and February 2015) were randomly selected by cluster sampling and interviewed using a semi-structured questionnaire. Bivariate analyses and multivariate hierarchical logistic regression analyses were performed. Among the women surveyed, 65.6% had used institutional delivery services for their last delivery, a higher proportion than the national average. Primiparity, having a secondary or higher education level, living in the Durgauli village, having husbands with occupations other than agriculture or professional/technical jobs, and having attended four or more antenatal care (ANC) visits had significantly increased use of institutional deliveries. Also, belonging to the richest 20% of the community and having experienced pregnancy complications were marginally significantly associated. These findings demonstrate the need for improving mother's education, encouraging them to attend ANC visits and addressing disparities between different regions.

Keywords: Antenatal care; Nepal; institutional delivery; maternal education; maternal health; pregnancy.

MeSH terms

  • Adolescent
  • Adult
  • Community-Based Participatory Research
  • Cross-Sectional Studies
  • Delivery, Obstetric / statistics & numerical data*
  • Female
  • Health Knowledge, Attitudes, Practice
  • Health Services Accessibility / statistics & numerical data*
  • Humans
  • Logistic Models
  • Maternal Health Services / statistics & numerical data*
  • Nepal
  • Parturition
  • Prenatal Care / psychology
  • Prenatal Care / statistics & numerical data*
  • Rural Population / statistics & numerical data
  • Socioeconomic Factors
  • Spouses
  • Surveys and Questionnaires
  • Young Adult