Anggraini, Anita Diah (2025) Analisis Survival Pasien Strok Berulang Di RSUD Haji Provinsi Jawa Timur Menggunakan Metode Regresi Cox Dengan Model Andersen-Gill Dan Model Prentice-William-Prentice Total Time (PWP-TT). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Strok berulang merupakan masalah kesehatan serius yang dapat meningkatkan angka kesakitan dan kematian pada pasien strok. Penelitian ini bertujuan untuk menganalisis faktor risiko yang mempengaruhi angka kekambuhan strok pada pasien di RSUD Haji Provinsi Jawa Timur dengan analisis survival menggunakan regresi Cox. Penelitian ini menggunakan data rekam medis pasien yang dirawat dalam jangka waktu 1 Januari 2023 – 31 Desember 2024, termasuk variabel seperti usia, jenis kelamin, tekanan darah tinggi, riwayat penyakit jantung, diabetes miletus, merokok dan ketidakpatuhan kontrol. Metode analisis survival memungkinkan peneliti menilai waktu kekambuhan strok dan mengidentifikasi faktor-faktor yang secara signifikan mempengaruhi risiko. Pemodelan regresi Cox digunakan untuk menentukan dampak masing-masing variabel terhadap risiko kekambuhan strok, sehingga memberikan perkiraan komprehensif tentang kemungkinan terjadinya suatu peristiwa dalam jangka waktu tertentu. Pendekatan yang digunakan dalam penelitian ini yakni model Andersen-Gill dan Prentice-William-Peterson Total Time (PWP-TT) dikarenakan data yang di dapat dari RSUD Haji Provinsi Jawa Timur lebih cocok menggunakan pendekatan tersebut. Hasil penelitian menunjukkan bahwa faktor seperti hipertensi secara signifikan meningkatkan risiko strok berulang. Temuan ini mempunyai implikasi penting bagi penatalaksanaan pasien strok, khususnya pencegahan kejadian berulang melalui strategi pengurangan risiko yang lebih efektif. Penelitian ini diharapkan dapat menjadi referensi bagi tenaga medis dan pengambil kebijakan untuk meningkatkan kualitas pelayanan medis dan menurunkan angka kekambuhan strok di masyarakat.
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Recurrent stroke is a serious health issue that can significantly increase morbidity and mortality among stroke patients. This study aims to analyze the risk factors influencing stroke recurrence among patients at RSUD Haji, East Java Province, using survival analysis with Cox regression. The study utilized medical record data from patients hospitalized between January 1, 2023, and December 31, 2024, including variables such as age, gender, hypertension, history of heart disease, diabetes mellitus, smoking, and non-adherence to follow-up care. Survival analysis methods allow researchers to assess the time to stroke recurrence and identify factors that significantly affect the risk. Cox regression modeling was employed to determine the impact of each variable on the risk of stroke recurrence, providing a comprehensive estimate of the likelihood of an event occurring over a specific period. This study adopted the Andersen-Gill and Prentice-Williams-Peterson Total Time (PWP-TT) models, as the data obtained from RSUD Haji were better suited to these approaches. The results indicated that factors such as hypertension significantly increased the risk of recurrent stroke. These findings have important implications for stroke patient management, particularly in preventing recurrence through more effective risk reduction strategies. This study is expected to serve as a reference for medical professionals and policymakers to improve the quality of medical services and reduce stroke recurrence rates in the community.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | analisis survival, strok berulang, regresi Cox, faktor risiko, Survival analysis, recurrent stroke, Cox regression, risk factors |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis. |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Anita Diah Anggraini |
| Date Deposited: | 01 Aug 2025 08:39 |
| Last Modified: | 01 Aug 2025 08:39 |
| URI: | http://repository.its.ac.id/id/eprint/126000 |
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