gusinta, susilowati (2022) Analisis Survival Pasien COVID-19 Menggunakan Regresi Cox Proportional Hazard Di RSUD Djojonegoro Temanggung. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada tahun 2019 teridentifikasi jenis virus baru di Kota Wuhan, Provinsi Hubei, Cina yaitu Coronavirus atau yang selanjutnya disebut COVID-19. Jawa Tengah menjadi salah satu daerah dari 5 provinsi dengan penambahan jumlah kasus COVID-19 paling tinggi di Indonesia. Pada September 2021, gelombang kasus kematian akibat COVID-19 di Jawa Tengah mencapai angka 30 ribu, melampaui 150 negara di dunia dengan case fatality rate mencapai 6,13%. Melalui keputusan Menteri Kesehatan Nomor 169 Tahun 2020, pemerintah Indonesia berupaya menunjuk Rumah Sakit (RS) Rujukan COVID-19 di tiap daerah agar penanganan COVID-19 dapat terkendali. Penelitian ini bertujuan untuk mendapatkan faktor yang mempengaruhi laju kesembuhan pasien COVID-19 menggunakan regresi Cox Proportional Hazard. Setelah dilakukan analisis, diperoleh kesimpulan bahwa pada hari ke-0 hingga hari ke-3 kurva survival turun cepat dengan peluang tidak sembuh pada pasien terkonfirmasi COVID-19 berkisar antara 1 hingga 0,5. Nilai ini menunjukkan bahwa pada hari ke-0 hingga hari ke-3, cukup banyak pasien yang sembuh sehingga dapat keluar dari rumah sakit. Dari pemodelan Cox Proportional Hazard dengan menggunakan eliminasi Backward sebagai metode untuk menentukan model terbaik, didapatkan variabel yang signifikan mempengaruhi laju kesembuhan pasien terkonfirmasi COVID-19 yaitu bantuan pernapasan, jumlah komorbid, status vaksinasi, terapi pengobatan dan epidemiologi sumber penularan. Pasien terkonfirmasi COVID-19 yang mendapatkan bantuan pernapasan laju kesembuhannya 1,771 kali lebih cepat dari pasien terkonfirmasi COVID-19 yang tidak mendapatkan bantuan pernapasan. Pasien terkonfirmasi COVID-19 yang telah menerima vaksinasi COVID-19 dosis 2 memiliki laju kesembuhan 1,5803 kali lebih cepat dari pasien terkonfirmasi COVID-19 yang belum menerima vaksinasi COVID-19. Pasien terkonfirmasi COVID-19 yang tidak memiliki penyakit komorbid memeiliki laju kesembuhan 2,037 kali lebih cepat dari pasien terkonfirmasi COVID-19 yang memiliki satu penyakit komorbid dan 5,385 kali lebih cepat dari pasien terkonfirmasi COVID-19 yang memiliki dua penyakit komorbid. Pasien terkonfirmasi COVID-19 yang tidak diberi terapi pengobatan memiliki laju kesembuhan 3,488 kali lebih cepat daripada pasien terkonfirmasi COVID-19 yang diberi terapi pengobatan dengan tiga jenis obat dan 7,463 kali lebih cepat daripada pasien terkonfirmasi COVID-19 yang diberi terapi pengobatan dengan lebih dari tiga jenis obat. Pasien terkonfirmasi COVID-19 yang tertular COVID-19 setelah berpergian atau tinggal di wilayah dengan transmisi lokal memiliki laju kesembuhan 1,5803 kali lebih cepat dari pasien terkonfirmasi COVID-19 yang tidak memiliki riwayat berpergian atau tinggal di tempat berisiko penularan.
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English
In 2019, a new type of virus was identified in Wuhan City, Hubei Province, China, namely the Coronavirus or hereinafter referred to as COVID-19. Central Java is one of the five provinces with the highest number of additional COVID-19 cases in Indonesia. In September 2021, the wave of COVID-19 deaths in Central Java reached 30 thousand, surpassing 150 countries in the world with a case fatality rate of 6.13%. Through the Decree of the Minister of Health Number 169 of 2020, the Indonesian government seeks to appoint a COVID-19 Referral Hospital (RS) in each region so that the handling of COVID-19 can be controlled. This study aims to determine the factors that influence the recovery rate of COVID-19 patients using Cox Proportional Hazard regression. After the analysis, it was concluded that on day 0 to day 3 the survival curve dropped rapidly with the chance of not recovering in confirmed COVID-19 patients ranging from 1 to 0.5. This value indicates that on day 0 to day 3, quite a number of patients recovered so they could be discharged from the hospital. From the Cox Proportional Hazard modeling using Backward elimination as a method to determine the best model, it was found that variables that significantly affect the recovery rate of confirmed COVID-19 patients are respiratory support, number of comorbidities, vaccination status, treatment therapy and epidemiology of the source of transmission. Patients with confirmed COVID-19 who received respiratory support had a recovery rate of 1,771 times faster than confirmed patients with COVID-19 who did not receive respiratory support. Confirmed COVID-19 patients who have received COVID-19 dose 2 have a cure rate of 1,5803 times faster than confirmed COVID-19 patients who have not received COVID-19 vaccination. Confirmed COVID-19 patients who do not have a comorbid disease have a cure rate of 2.037 times faster than confirmed COVID-19 patients who have one comorbid disease and 5.385 times faster than confirmed COVID-19 patients who have two comorbid diseases. Confirmed COVID-19 patients who were not given medical therapy had a cure rate of 3.488 times faster than confirmed COVID-19 patients who were given treatment with three drugs and 7.463 times faster than confirmed COVID-19 patients who were given treatment with more than three drugs. Patients with confirmed COVID-19 who contracted COVID-19 after traveling or living in areas with local transmission had a recovery rate of 1,5803 times faster than confirmed patients with COVID-19 who had no history of traveling or living in places where there was a risk of transmission.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.546 Gus a-1 2022 |
| Uncontrolled Keywords: | Analisis Survival, COVID-19, Laju Kesembuhan, Regresi Cox Proportional Hazard. Survival Analysis, COVID-19, Rate of Recovery, Cox Proportional Hazard Regression. |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 11 Jun 2026 01:25 |
| Last Modified: | 11 Jun 2026 01:25 |
| URI: | http://repository.its.ac.id/id/eprint/133712 |
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