Perbandingan performa skoring GAP dengan TRISS dalam prediksi mortalitas pasien trauma di IGD RSCM periode Januari-Desember 2013 = The comparison of performance between GAP and TRISSS scoring in the prediction of mortality of trauma patients in the emergency room of RSCM from January until December 2013 / Syarif Mustika Harinurdi
Main Author: | Syarif Mustika Harinurdi, author |
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Format: | Masters Bachelors |
Terbitan: |
, 2014
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Subjects: | |
Online Access: |
http://lib.ui.ac.id/file?file=digital/2015-10/20388628-T-Pdf Syarif Mustika Harinurdi.pdf |
Daftar Isi:
- <b>ABSTRAK</b><br> Latar Belakang : penggunaan trauma skor dapat menentukan penanganan pasien trauma dengan cepat dan tepat sehingga menurunkan mortalitas hingga 25%. Tujuan : untuk mengetahui perbandingan performa skoring GAP dengan TRISS dalam memprediksi mortalitas pasien trauma IGD RSCM Januari-Desember 2013. Desain Penelitian : studi cross sectional dengan sampel Rekam Medik pasien trauma IGD RSCM. Hasil penelitian : skor GAP memiliki nilai sensitifitas 80% dan spesitifitas 98,8% Kesimpulan : skor GAP sangat baik untuk prediksi pasien trauma yang hidup tetapi kurang baik untuk menentukan prediksi mortalitas pasien trauma di IGD RSCM <hr> <b>ABSTRACT</b><br> Title: The comparison of performance between GAP and TRISS Scoring in the prediction of mortality of trauma patients in the Emergency Room of RSCM from January until December 2013 Background: The use of trauma scoring can speed up the handling of trauma patients in order to reduce mortality of patients by up to 25% Objective: to know how the result of the performance between GAP and TRISS scoring in the prediction of mortality of trauma patients. Study design: cross sectional study which the sample was taken from Medical Records. of trauma patiens for 1 year. Result: showed that the sensitivity GAP value of 80% and 99,8% for specificity. Conclution: the GAP is very goog for determining the prediction of life but not good enough for the prediction of mortality of trauma patients in emergency room of RSCM.