Ilmiah, Mariatul (2015) Analisis Survival Dengan Model Regresi Cox (Studi Kasus : Pasien Tuberkulosis Di RSUD Dr. Soetomo Surabaya). Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.
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Abstract
Tuberkulosis merupakan salah penyakit menular yang bersifat mematikan. Penyakit ini berada pada urutan kedua dari sejumlah penyakit menular yang masuk 10 besar penyebab kematian di Indonesia. Untuk menekan jumlah penderita Tuberkulosis, pada tahun 1994 pemerintah Indonesia telah bekerjasama dengan WHO untuk mengadakan suatu program pengobatan terhadap pasien Tuberkulosis. Program tersebut dikenal dengan nama DOTS (Directly Observed Treatment Shortcourse). Berdasarkan data rekam medik pasien diperoleh faktor-faktor yang diduga mempengaruhi laju keberhasilan pengobatan pasien Tuberkulosis di RSUD Dr. Soetomo Surabaya diantaranya adalah jenis kelamin, usia, klasifikasi penyakit, tipe pasien, hasil pemeriksaan dahak, dan keteraturan berobat. Selanjutnya dengan faktor-faktor tersebut dilakukan analisis survival dengan model regresi Cox proportional hazard untuk mengetahui faktor yang mempengaruhi laju keberhasilan pengobatan pesien Tuberkulosis. Berdasarkan hasil seleksi model diperoleh faktor yang mempengaruhi laju keberhasilan pengobatan pasien Tuberkulosis, yaitu keteraturan berobat. Pasien Tuberkulosis yang teratur berobat memiliki risiko keberhasilan berobat 3 kali lebih besar daripada pasien yang tidak teratur berobat. ========== Tuberculosis is deadly infectious disease. This disease is the second of a number of infectious diseases that entered the top 10 causes of death in Indonesia. To reduce the number of patients with Tuberculosis, in 1994 the Indonesian government has been working with WHO to conduct a course of treatment for patients with tuberculosis.. The program is known as DOTS (Directly Observed Treatment Shortcourse). Based on data medical records of patients are obtained factors suspected affect the rate of treatment success of Tuberculosis patients in RSUD Dr. Soetomo Surabaya, such as gender, age, disease classification, types of patients, sputum examination results, and the regularity of treatment. Furthermore, with these factors are survival analyzed with Cox proportional hazard regression model to determine the factors that affect the rate of treatment success of Tuberculosis patients. Based on the results of selection models, obtained factors that affect the rate of treatment success of Tuberculosis patients by the regularity of treatment. Tuberculosis patients are regularly treated at risk the success of treatment 3 times greater than patients with irregular treatment.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSMa 519.546 Ilm a 3100015062460 |
| Uncontrolled Keywords: | Tuberkulosis, DOTS, Analisis Survival, Cox proportional hazard, Tuberculosis, DOTS, Survival Analysis, Cox proportional hazard |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression R Medicine > R Medicine (General) > R853.S7 Survival analysis (Biometry) |
| Divisions: | Faculty of Mathematics and Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 03 Dec 2019 10:01 |
| Last Modified: | 03 Dec 2019 10:01 |
| URI: | http://repository.its.ac.id/id/eprint/72068 |
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