Ditemukan 35788 dokumen yang sesuai dengan query :: Simpan CSV
Kata kunci:Faktor- factor, Kehamilan Tidak Diinginkan, Paritas.
Prevention of unintended pregnancies is essential to reduce the incidence of abortion andother adverse effects such as premature birth, low birth weight, unwanted child, maternalchild morbidity and mortality. The aim of the study was to assess determinants ofunintended pregnancies in Indonesia. The study was a secondary data analysis ofIndonesia Demographic Health Survey 2012 which covered 33 provinces in Indonesiawith cross-sectional design. The sample in this study were women who were pregnantwhen the survey was conducted, accounted as 2046 women. Data were analyzed bymultiple logistic regression. The most dominant factor related to unintended pregnanciesis married status. Mothers with are at risk of experiencing unintended pregnancies 8,35times (p value <0.05, OR 10.59 95% CI: 3, 11-38,14) compared to married mothers aftercontrolled by age, parity, complication and contraceptive failure.
Keywords: determinants, unintended pregnancy, parity.
Kata Kunci : Wanita Pernah Kawin, ODHA, Stigma
Kehamilan Tidak Diinginkan (KTD) terjadi setidaknya sebanyak 121 juta kasus secara global dari tahun 2015-2019. Tingginya angka prevalens ini menunjukkan bahwa KTD merupakan salah satu masalah kesehatan masyarakat yang dapat membawa banyak dampak negatif baik dalam bidang kesehatan, sosial dan finansial. Dari seluruh KTD yang terjadi secara global, setengahnya berakhir dengan aborsi. Kematian Ibu yang mengalami KTD juga berhubungan dengan karena kurangnya perawatan antenatal yang dapat meningkatkan risiko komplikasi kehamilan akibat ketidaktahuannya tentang kehamilannya. Kunci untuk mencegah KTD adalah menggunakan kontrasepsi dengan begitu WUS dan PUS dapat merencanakan atau menunda kehamilan. Untuk memahami KTD lebih baik dapat dilakukan dengan mengenali faktor apa saja yang berhubungan dengan KTD. Bertujuan untuk mengetahui faktor apa saja yang berhubungan dengan Kehamilan Tidak Diinginkan. Penelitian ini menggunakan desain studi cross-sectional menggunakan data sekunder SDKI 2017. Sampel penelitian adalah Wanita Usia Subur yang sedang hamil saat survei dilakukan. Prevalensi kehamilan tidak diinginkan adalah sebesar 7,5% dengan 6,8% merupakan kehamilan yang tidak tepat waktu dan 0,7% kehamilan tidak diinginkan sama sekali. Faktor Intrapersonal, yakni; Usia, [PR 0,59 CI 95%: 0,37-0,97 p-value 0,036], Status Perkawinan [PR 6,03 CI 95% 3,7-9,9 p-value 0,000] dan Paritas [PR 0,42 CI 95% 0,26-0,67 p-value 0,000) dan Faktor Struktural, yaitu; Wilayah Tempat Tinggal [PR 1,625 CI 95% 1,06-2,57 , nilai p = 0,024] memiliki hubungan yang signifikan dengan Kejadian Kehamilan Tidak Diinginkan di Indonesia tahun 2017. Diperlukan lebih banyak edukasi kesehatan reproduksi yang tak hanya mencakup aspek biologis namun juga akibat dari sosial, mental dan finansial dari KTD. Pemerintah juga perlu menetapkan UU yang lebih ketat terhadap usia minimal perkawinan dan memastikan WUS mendapatkan akses yang baik terhadap kontrasepsi. Selain itu juga surveilans bagi akseptor KB perlu lebih diperhatikan agar perencanaan kehamilan dapat lebih efektif untuk menghindari KTD.
There are approximately 121 million unintended pregnancies globally from 2015 to 2019. Those high numbers show that unplanned pregnancy is still a significant public health problem, especially when half of all unintended pregnancies ended up in abortion. Unwanted pregnancy also brings other negative effects aside from the health aspect, such as social and financial problems. Women who are experiencing unintended pregnancy tend to neglect their, and the fetus’ health such as missing antenatal care, which risks higher pregnancy complications that can lead to maternal death. Maternal and Neonatal Death Rate is one of the indicators for the 3rd SDGs. Contraception is the key to preventing unplanned or unintended pregnancy. It is important to find out what are the factors contributing to Unintended Pregnancies so that we have the correct information that would be considered for making an effective preventative public health policy and health laws. This study aims to recognize the factors related to unintended pregnancy, in hopes that by knowing the risk factors, unintended pregnancy can be prevented. This study was conducted using cross-sectional studies and uses Indonesian DHS 2017 Secondary Data, the sample for this study is women of childbearing age who were currently pregnant during the survey. The prevalence of unintended pregnancy in Indonesia is 7,5%, which consist of 6,8% of mistimed pregnancy and 0,7% of unwanted pregnancy. Intrapersonal Factors such as Age [PR 0,59 CI 95%: 0,37-0,97 p-value 0,036], Marriage Status [PR 6,03 CI 95% 3,7-9,9 p-value 0,001] and Parity [PR 0,42 CI 95% 0,26-0,67 p-value 0,001) and Structural Factor such as Place of Residence [PR 1,625 CI 95% 1,06-2,57 , p value = 0,024] has statistically significant association (p-value <0,05) with the cases of Unintended Pregnancy in Indonesia 2017. More reproductive health education is needed which does not only cover biological aspects but also the social, mental and financial consequences of unwanted pregnancy. The government also needs to enact stricter laws regarding the minimum age for marriage and ensure that women of childbearing age can have good access to contraception. In addition, surveillance for family planning acceptors needs to be paid more attention so that pregnancy planning can be more effective in preventing unwanted pregnancies. Keywords: Unintended Pregnancy, Unwanted Pregnancy, Women of Childbearing Age, Factors related to unintended pregnancy
Unwanted Pregnancy is one of public health problem. Unwanted pregnancy at risky age hurts women who decide to continue the pregnancy or not. This study aims to analyze factors associated with unwanted pregnancy among risk-age women. This research is quantitative with a cross-sectional study design and used secondary data from IDHS 2017. The results of analysis using chi-square test indicate that unwanted pregnancy is related to residence (P value: 0.010, POR: 0.523, 95%CI: 0.324-0.842), parity (P value: <0,001, POR: 2.832, 95%CI: 1.740-4.611) and history of contraceptive use (P value: 0.014, POR: 0.497, 95%CI: 0.291-0.850).