Effect of post-menstrual regulation family-planning service quality on subsequent contraceptive use in Bangladesh

Int J Gynaecol Obstet. 2013 Nov:123 Suppl 1:e38-42. doi: 10.1016/j.ijgo.2013.07.007. Epub 2013 Aug 2.

Abstract

Objective: To determine whether the quality of post-menstrual regulation family-planning services (post-MRFP) affected contraceptive use at 3-month follow-up.

Methods: 915 women who received post-MRFP in 2 public and 1 NGO clinics in a district in Bangladesh were interviewed to obtain information on service quality and other characteristics. Quality was scored based on 21 items and the score divided into 3 categories: low (0-6); medium (7-11); and high (12-21). Three months after menstrual regulation, 902 of the women were interviewed at their residence or a clinic and contraceptive status was recorded. Adjusted odd ratios (aORs) for using contraception were calculated via multivariate logistic regression.

Results: Contraceptive use was positively correlated with the level of service quality, with 78% use among women who received the lowest-quality care and 92% use among women who received the highest-quality care. The aOR for contraceptive use was 1.80 (95% confidence interval [CI], 1.11-2.93) among women who received moderate-quality services and 3.01 (95% CI, 1.43-6.37) among women receiving high-quality services compared with those who received poor-quality services.

Conclusion: Good-quality post-MRFP increases contraceptive use, at least in the short term.

Keywords: Abortion; Bangladesh; Contraceptive use; Family-planning services; Menstrual regulation; Quality of care.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Bangladesh
  • Contraception / methods
  • Contraception / statistics & numerical data*
  • Contraception Behavior / statistics & numerical data*
  • Family Planning Services / organization & administration
  • Family Planning Services / standards*
  • Female
  • Follow-Up Studies
  • Humans
  • Logistic Models
  • Menstruation
  • Multivariate Analysis
  • Patient Acceptance of Health Care*
  • Quality of Health Care
  • Young Adult