Factors affecting the choice of intra uterine device contraceptives among women of reproductive age at the Wonosari II community health center
Keywords:
Unmet need, Family Planning, Intrauterine DeviceAbstract
Unmet need is one of the problems in the Family Planning (FP) program because its prevalence is still high. Unmet need for FP refers to contraception that is not used by couples of childbearing age who want to delay pregnancy or do not want to have more children. The impacts of unmet need include abortion, closely spaced pregnancies, excessive childbearing, increased complications during pregnancy, complications during childbirth, and difficulties during the postpartum period. The average unmet need rate in Yogyakarta in 2023 reached 13.76%. The purpose of this study was to determine the factors influencing the choice of IUD contraception. This study used a quantitative method with analytical description and a cross-sectional design, involving 104 samples of acceptors from a total population of 1,612 implant and IUD users selected based on the quota sampling method. Data obtained from variables such as parity, contraceptive choice, education level, knowledge, spousal support, and health worker support were processed using editing, univariate analysis to see the frequency distribution, and bivariate analysis using the Chi-Square test. The results showed that there was a relationship between parity and IUD selection p value (0.001) with the majority being multiparous (54.8%), there is a relationship between knowledge and IUD selection p value (0.04) with the majority having high knowledge (71.3%), there is a relationship between spousal support and IUD selection p value (0.024) with the majority being supportive (95.2%), and there is a relationship between health worker support and IUD selection p value (0.006) with the majority being supportive (75%). For the education level factor, there was no relationship p value (0.616) with the majority having a secondary education level (52.9%). The results of this study are expected to be a source of information, add insight, and improve the analysis of low-knowledge acceptors so that they choose and sort out family planning with high effectiveness and low side effects.
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