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Severe preeclampsia is one of the causes of maternal mortality in Indonesia. At Province public hospitalDr. H. Abdul Moeloek, Severe preeclampsia is the highest cause of maternal mortality (47,25%). This research aimed to know the relation of predictor severe preeclampsiaassessed by systolic blood pressure, diastolic blood pressure, proteiunuria, eclampsia and HELLP syndromeand total predictor severe preeclampsiawith maternal mortality at public hospital Dr. H. Abdul Moeloek in the year of 2010-2014. The design used case control by using 60 samples for case and 120 for controlers. HELLP syndrome increase risk of maternal mortality with OR (odds ratio) of 12.5 (95%CI= 2.90 to 53.72), eclampsia OR 12.1 (95% CI = 3.80 to 38.65), diastolic blood pressure 110-119 OR 7,4 (95% CI=1,8-29,2), diastolic blood pressure ≥120 mmHg OR 5,5 (95%CI 1,1-23,1) after controlled by maternal age, gravida, gestational age, type of delivery, giving diazepam, residence, employment and education.Predictorswhichconsists of 4or5increase risk of maternal mortalityOR90(95 % CI = 13.7 to 591.3), predictors totaling 3 OR 16(95 % CI = 3.9 to 66.7) and predictors 2 OR 6.3 (95% CI = 1.4 to 22.2). Improve maternal audit to assess the implementation of maternal deaths due to severe preeclampsia. Keywords :Maternal Mortality, Severe Preeclampsia.
Severe preeclampsia is one of the causes of maternal mortality in Indonesia. At Province public hospitalDr. H. Abdul Moeloek, Severe preeclampsia is the highest cause of maternal mortality (47,25%). This research aimed to know the relation of predictor severe preeclampsiaassessed by systolic blood pressure, diastolic blood pressure, proteiunuria, eclampsia and HELLP syndromeand total predictor severe preeclampsiawith maternal mortality at public hospital Dr. H. Abdul Moeloek in the year of 2010-2014. The design used case control by using 60 samples for case and 120 for controlers. HELLP syndrome increase risk of maternal mortality with OR (odds ratio) of 12.5 (95%CI= 2.90 to 53.72), eclampsia OR 12.1 (95% CI = 3.80 to 38.65), diastolic blood pressure 110-119 OR 7,4 (95% CI=1,8-29,2), diastolic blood pressure ≥120 mmHg OR 5,5 (95%CI 1,1-23,1) after controlled by maternal age, gravida, gestational age, type of delivery, giving diazepam, residence, employment and education.Predictorswhichconsists of 4or5increase risk of maternal mortalityOR90(95 % CI = 13.7 to 591.3), predictors totaling 3 OR 16(95 % CI = 3.9 to 66.7) and predictors 2 OR 6.3 (95% CI = 1.4 to 22.2). Improve maternal audit to assess the implementation of maternal deaths due to severe preeclampsia. Keywords :Maternal Mortality, Severe Preeclampsia.
Angka kematian Ibu di Indonesia sebesar 307 per 100,000 kelahiran hidup. Angka ini menempatkan Indonesia pada urutan teratas di ASEAN. Indonesia mencanangkan Gerakan Nasional Kehamilan yang aman atau Making Pregnancy Safor (MFS), salah satu tujuan MPS adalah menurunkan AKI sebesar 75% pada tahun 2015. Dari berbagai metode pengukuran AKI yang ada, belum terdapat metode yang mampu mengestimasi AKI sampai pada level kabupaten. Penelitian ini bertujuan untuk mengetahui apakah analisa capture-recapture dapat digunakan sebagai metode yang dapat mengestimasi AKI pada level kahupaten. Metode: Analisis capture-recapture menggunakan pendekatan model loglinear, dengan menggunakan 3 sumber data yaitu catatan kematian ibu rumah sakit, audit maternal perinatal dan register puskesmas di Kabupaten Serang dan Kabupaten Pandeglang tahun 2004-2005. Validasi hasil estimasi dilakukan dengan membandingkan estimasi hasil analisa capture-recapture dengan estimasi hasil studi MIMF yang dilakukan di kabupaten dalam periode yang sama. Hasil: Estimasi jumlah kematian ibu untuk Kabupaten Serang dan Kabupaten Pandeglang pada tahun 2014-2005 sebesar 612 (95%CI:399;811), Kabupaten Serang 403 kasus (95%CI:217;1050), dan Kabupaten Pandeglang sebesar 209 kasus (95%CI:162;303). Hasil estimasi pada ketiga level menunjukkan adanya kemiripan dengan hasil studi MIMF, dimana ketiga level memiliki nilai derajat kepercayaan yang saling tumpang tindih. Estimasi angka kematian Ibu di Kabupaten Serang dan Kabupaten Pandeglang pada tahun 2004-2005 adalah sebesar 427 per 100000 kelahiran hidup (95%CI:278;565). Kabupaten Serang sebesar 440 (95%Cl:237;1146) dan Kabupaten Pandeglang sebesar 398 (95%CI:309;517). Hasil analisa capture-recapture menunjukkan hasil yang serupa dengan studi MIMF, dengan demikian bagi Dinas Kesehatan Kabupaten/Kota dapat mempertimbangkan metode ini sebagai salah satu alternatif metode analisis untuk mengestimasi angka kematian ibu pada level kabupaten.
Maternal mortality in Indonesia was 307 per 100.000 live births in 2003. This situation made Indonesia as a country with high level of maternal mortality in ASEAN countries. Indonesia has been deployed Making Pregnancy Safer (MPS) program, which has a goal to reduce maternal mortality by 75% from year 1990 to 2015. Various methods have been developed to measure maternal mortality, such as survey method. Survey method requires a huge sample size since maternal mortality is a rare event. Thus conducting such survey would requires high cost and human resources. Another approach should be considered, such as capture-recapture analysis which only need two or more available data sources to estimate maternal mortality at district level. The aim of this study is to estimate maternal mortality in Serang and PandegJang DistrIct, Banten Province, in 2004-2005 using capture-recapture analysis. Method: Three Independent data sources from hospital, health center and maternal perinatal audit have been used to estimate maternal mortality using capture-recapture analysis based on loglinear approach. The result of the analysis will be compared with the result from MIMF study, a study which has been done in the same district and in the same period, to validate the result of the analysis. Result: The estimate of maternal death both Serang and Pandeglang District in 2004-2005 was 612 death (95%CI:399;811), in Serang District was 403 deaths (95%CI:217;1050), and Pandeglang District was 209 deaths (95%CI:162;303). The estimation shows the same estimation compared with MIMF study which is used as a gold standard. Capture-recapture analysis produce the same result as MIMF study, which can be interpreted that this method has capability to be one of tools to measure maternal mortality, Therefore. this method should be considered by district health office and ministry of health as an alternative method to measure maternal mortality at district level.
A good understanding of the role of men in the formation of an ideal family and reproductive health planning can have a good impact in a family planning program. This study seeks to the predictors of modern contraceptive use and fertility preference among sexually active men in Indonesia. The data source is the nationally representative 2017 Indonesia Demographic and Health Survey (IDHS) of men aged 15-54 years. The analysis is restricted to 9,277 men who reported being sexually active in the past 12 months prior to the survey, have a married status, and living with his wife. This research use bivariate and multinominal logistic regression to access predictors that influence modern contraceptive use and fertility preference among sexually active men. Bivariate and multivariable multinomial logistic regression analysis was conducted and statistical significance was set at p-value<0.05. From a total of 9,277 sexually active men in Indonesia, 309 (3,3%) used male modern contraception methods and 8,968 (96,7%) didn't use modern contraception. Besides that, from the total sample, 4,383 (47,2%) is the fertility preference of male that didn't want another child and 4,894 (52,8%) men indecisive or still want another child. Findings from the bivariate and multinominal logistic regression indicate that education (OR=3,02; 95% CI: 1,72-5,31 ), residence (OR=1,75; 95% CI: 1,18-2,58), wealth index(OR=3,57; 95% CI: 1,87-9,50), currently working (OR=13,32; 95% CI: 1,83-96,76), living children (OR=2,1; 95% CI: 1,35-3,24), istri menggunakan KB (OR=0,07; 95% CI: 0,05-0,11), access to media (OR=1,83; 95% CI: 1,23-2,72), disscuss with health worker (OR=0,47 ; 95% CI: 0,30-0,72), disscuss with wife (OR=2,71; 95% CI: 1,94-3,79), knowledge (OR=1,69; 95% CI: 1,23-2,32), dan fertility preference (OR=1,72; 95% CI: 1,22-2,43) were all significantly associated with modern contraceptive use among sexually active men. Other result finding that age (OR=4,55; 95% CI: 3,87-5,34), education level (OR=0,77; 95% CI: 0,67-0,89), residence (OR=1,26; 95% CI: 1,10-1,45), living children (OR=13,2; 95% CI: 10,45-16,68), wife using contraceptive (OR=1,32; 95% CI: 1,15-1,51), access to media (OR=0,83; 95% CI: 0,72-0,96), disscuss with wife (OR=0,86; 95% CI: 0,75-0,98), and knowledge (OR = 1,28; 95% CI: 1,11-1,48) were all significantly assosiated with fertility preference in a men who didn't want another child. These findings suggest that future policies and programs should focus on interventions and promoting men's contraception in media, addressing regional disparities in accessibility and availability of modern contraceptive, and interventions family planning in the middle of level education.
