Predictors of Knowledge, Attitude, and Practice (KAP) Towards Family Planning (FP) Among Pregnant Women in Fiji

Matern Child Health J. 2023 May;27(5):795-804. doi: 10.1007/s10995-023-03618-3. Epub 2023 Feb 13.

Abstract

Objective: This study aimed to determine the predictors of Knowledge, Attitude and Practice (KAP) towards Family Planning (FP) among pregnant Fijian women.

Methods: A cross-sectional study was conducted over two months in 2019 with adult pregnant women attending the Antenatal Clinic (ANC) at Ba Mission Hospital (BMH), Fiji. Data was collected using a self-administrated questionnaire. Statistical analysis included correlation tests and regression analysis in determining predictors of KAP.

Results: 240 pregnant women participated in this study with a mean age of 26.02 (± SD = 4.13). The results showed a moderate level of knowledge (mean 14.95, SD ± 3.15), positive attitude (mean 20.56, SD ± 5.68), and good practice (mean 4.97, SD ± 1.73). Linear regression identified that women with more than seven children had a knowledge score of 3.65, lower than null parity (t value = -2.577, p = 0.011). Women aged 20 to 24 had a 6.47 lower attitude score than women aged 18 to 19 (t value = -2.142, p = 0.033). Women in defacto relationships had a 2.12 lower attitude score compared to the married category (t value = -2.128, p = 0.034). Fijian women of Indian descent had a 1.98 lower attitude score than the I Taukei women (t value = -2.639, p = 0.009). Women aged 30-34 had 2.41 lower practice scores than those aged 18-19 (t value = -2.462, p = 0.015).

Conclusion: This study found a medium knowledge of FP among pregnant women. These findings support a recommendation for further research to implement effective strategies.

Keywords: Attitude; Family planning; Fiji; Knowledge; Practice; Predictors; Pregnant women.

MeSH terms

  • Adult
  • Child
  • Cross-Sectional Studies
  • Family Planning Services*
  • Female
  • Fiji
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Parity
  • Pregnancy
  • Pregnant People*