Hanifa, Nuke (2021) Pemodelan Regresi Cox Proportional Hazard Pada Ketahanan Hidup Pasien COVID-19 dengan Gejala Berat di Rumah Sakit Universitas Airlangga Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penyebaran COVID-19 yang semakin cepat dan luas di Indonesia khususnya Surabaya, membuat berbagai pihak mencanangkan untuk berbagai aktivitas dilakukan didalam rumah. Namun seiring berjalannya waktu tingkat mortalitas akibat COVID-19 di Provinsi Jawa Timur semakin tinggi dengan kota Surabaya merupakan penyumbang kasus terbesar. Data yang digunakan pada penelitian ini yaitu data ketahanan hidup pasien COVID-19 yang tercatat dalam rekam medis di Rumah Sakit Universitas Airlangga Surabaya dengan faktor yang diamati merupakan faktor yang diduga mempengaruhi ketahanan hidup pasien COVID-19, diantaranya usia, jenis kelamin, penyakit penyerta, jenis pekerjaan, pengobatan yang diterima pasien, serta bantuan oksigen yang dibutuhkan pasien COVID-19. Penelitian ini bertujuan untuk menganalisis ketahanan hidup pasien COVID-19 menggunakan regresi Cox Proportional Hazard dengan failure event yang diamati yaitu ketika pasien meninggal dunia selama penelitian berlangsung, sehingga dihasilkan bahwa faktor bantuan oksigen dengan jenis Non-Rebreathing Mask, Jackson Rees, dan High Flow Nasal Cannula berpengaruh signifikan terhadap waktu survival pasien COVID-19 dengan gejala berat di Rumah Sakit Universitas Airlangga Surabaya.
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The increasingly rapid and widespread spread of COVID-19 in Indonesia, especially Surabaya, has made every party's plan for various activities that need to do it at home. However, as time goes by, the mortality rate due to COVID-19 in East Java Province is getting higher, with Surabaya is one of the biggest contributors to cases. This research uses medical records of COVID-19 patients with severe symptoms at the Airlangga University Hospital Surabaya. The observed variables are some of the factors that expect to affect the survival of COVID-19 patients. Those factors are age, gender, comorbidities, type of work, treatment received by patients, and type of oxygen assistance needed by COVID-19 patients. This study aims to analyze the survival of COVID- 19 patients using Cox Proportional Hazard regression with the observed failure event, namely when the patient died during the study. So, through the analysis, it is known that the oxygen assistance factor with the type of Non-Rebreathing Mask, Jackson Rees, and High Flow Nasal Cannula had a significant effect on the survival time of COVID-19 patients with severe symptoms at Airlangga University Hospital Surabaya.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Analisis Survival, COVID-19, Cox Proportional Hazard, Rumah Sakit Universitas Airlangga Surabaya, Survival Analysis, Airlangga University Hospital Surabaya |
| Subjects: | H Social Sciences > HA Statistics Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry) R Medicine > R Medicine (General) > R853.S7 Survival analysis (Biometry) |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Nuke Hanifa |
| Date Deposited: | 02 Sep 2021 14:58 |
| Last Modified: | 07 Jun 2024 03:56 |
| URI: | http://repository.its.ac.id/id/eprint/91323 |
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