Factors associated with optimal antenatal care use in Northern region, Ghana

Women Health. 2018 Sep;58(8):942-954. doi: 10.1080/03630242.2017.1372842. Epub 2017 Nov 17.

Abstract

The objective of this study was to investigate the factors associated with the optimal use of antenatal care (ANC) during pregnancy. A facility-based cross-sectional survey was conducted between February and August 2014 among nursing mothers (n = 578) attending postnatal and child welfare clinics in three districts in Northern Ghana, representing urban, peri-urban, and rural zones. The developed questionnaire aided the collection of information on maternal demographic characteristics, health status, household assets, and ANC attendance. Binary logistic regression was modeled to estimate the association between optimal ANC use and mothers' characteristics. Approximately 81% of the respondents had ≥4 ANC visits during pregnancy, and coverage was over 99%. Mothers who had any formal education (adjusted odds ratio [AOR] = 1.7, 95% confidence interval [CI] = 1.0-2.8, P = 0.040) lived in middle class socioeconomic households (AOR = 2.6, 95%CI = 1.4-4.8, P = 0.003) and resided in urban areas (AOR = 2.0, 95%CI = 1.2-3.3, P = 0.006) were significantly more likely to report the optimal ANC use. Mothers' education, socioeconomic status, and proximity to a health facility were positively associated with the optimal ANC use. Education of females and policy initiatives aimed at improving the rural-urban divide are essential to optimize the use of ANC.

Keywords: Antenatal care; Northern Ghana; pregnancy; socioeconomic.

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Educational Status*
  • Family Characteristics
  • Female
  • Ghana
  • Health Facilities
  • Health Services Accessibility
  • Humans
  • Logistic Models
  • Mothers
  • Odds Ratio
  • Patient Acceptance of Health Care*
  • Pregnancy
  • Prenatal Care*
  • Residence Characteristics*
  • Rural Population*
  • Social Class*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Urban Population*
  • Young Adult