OBJECTIVES: To examine the differentials and determinants of the utilization of private providers for family planning services.
METHOD: This study used the 2014 Malaysian Population and Family Survey data. Cross-tabulations and logistic regression were performed on 1,817 current users of modern methods.
RESULTS: Overall, 26% of modern method users obtained their supplies from private clinics/pharmacies and 15.2% from other sources, such as drug stores and sundry shops. The odds of utilizing the private sector for family planning services differ significantly across regions and socio-economic groups. The odds of obtaining supply from the private clinics/pharmacies were higher among the Chinese and urban women (AOR > 1), and it was lower among those from the eastern region (AOR = 0.47, 95% CI = 0.30-0.73). Non-Bumiputera, urban, higher educated, and working women, and those whose husbands decided on family planning had higher odds of obtaining the supply from the other sources (AOR > 1).
CONCLUSION: The private sector complements and supplements the public sector in providing family planning services to the public.
METHODS: This is a prospective randomized study for evaluation of 84 etonogestrel implant (Implanon) users with prolonged or frequent bleeding. They were assigned to either receiving a COCP containing 20 mcg ethinyl estradiol/150 mg desogestrel for two continuous cycle or NSAID; mefenamic acid 500 mg TDS for 5 days, 21 days apart for two cycles. Bleeding pattern during the treatment was recorded and analyzed.
RESULTS: A total of 32 women (76.2%) in COCP group and 15 women (35.7%) in NSAID group stop bleeding within 7 days after the initiation of treatment which was statistically significant (P
Methods: A total of 380 women who had used the same contraceptive method for at least twelve months were recruited in this study. Covariance analysis was done to compare the weight gain between hormonal and non-hormonal contraceptive users, while studying the same confounders [age, household income, number of pregnancies, and baseline body mass index (BMI)].
Results: Hormonal methods were more commonly used. The mean weight gain among hormonal users (adjusted mean 2.85, 95% CI 2.45, 3.24) was significantly higher than non-hormonal users (adjusted mean 0.46, 95% CI -0.73, 1.65; p-value <0.001), after controlling for age, household income, number of pregnancies, and baseline BMI.
Conclusion: The possibility of weight gain following the use of hormonal methods should be investigated and non-hormonal methods should be considered to prevent weight gain.