Open AccessPOTENSI MODIFIKASI MODEL PIERS UNTUK PREDIKSI LUARAN IBU DENGAN PREEKLAMSIA PADA RUMAH SAKIT TIPE B DI INDONESIA: PENELITIAN RETROSPEKTIF DI RSUD ANSARI SALEH BANJARMASIN, KALIMANTAN SELATAN
Author(s) -
Herdiantri Sufriyana,
Lisda Handayani,
Fitri Yuliana,
Taufiq Syafi’i
Publication year - 2018
Publication title -
medical and health science journal
Language(s) - English
Resource type - Journals
eISSN - 2549-7596
pISSN - 2549-7588
DOI - 10.33086/mhsj.v1i1.614
Subject(s) - medicine , hellp syndrome , preeclampsia , logistic regression , eclampsia , obstetrics , univariate analysis , pediatrics , gynecology , pregnancy , multivariate analysis , genetics , biology
Background: Preeclampsia is the most common cause (32%) of maternal deaths in Indonesia. Model Piers(Pre-eclampsia Integrated Estimate Risk) can predict the outcomes / complications of pre-eclampsia andassociated with a reduction in maternal morbidity. This study aims to assess the potential modification of themodel to predict the outcome Piers mothers with preeclampsia in Type B hospitals in Indonesia. Methods:This research is a prognostic with the analytical method and quantitative approach retrospectively. This studyused the capture technique stratified random sampling to obtain the medical records of 160 people withpreeclampsia and 160 controls in hospitals Banjarmasin Ansari Saleh 2014. Identified availability ofvariables in the model along with the outer piers preeclampsia. Performed univariate, bivariate andmultivariate corresponding availability of variables the model Piers. Result: eight of the 48 variables in themodel Piers consistently found in all samples, while output available were complication preeclampsiaeclampsia and/or HELLP syndrome. The gestational age was significantly influent eclampsia for the subjectin this study (P 0.05). Conclusion: Modifications Piersmodels to predict potential outcomes of women with preeclampsia in RS type B in Indonesia if it is supportedby policies and standards that consider this model and supported a larger number of samples.