PEMODELAN KETAHANAN HIDUP PASIEN PENDERITA HIV DENGAN REGRESI COX PROPORTIONAL HAZARD
Abstract
The purpose of this study was to model the survival time of HIV patients using cox proportional hazard regression and find out the factors that significantly affect the survival time of ODHA undergoing ART to entering the AIDS stage. The study population was all HIV patients at the Dharmais Cancer Hospital, Jakarta. The research sample based on purposive sampling technique was HIV patients on antiretroviral therapy. The results showed that the factors that affected the survival time of patients undergoing antiretroviral therapy until they entered the AIDS stage were initial CD4 status, clinical stage, mode of transmission, gender, education, age and working status. Patients infected with HIV through injecting needles (drug users), did not finish junior high school (graduated elementary school or did not attend school) and were working when starting ART have the highest risk of failure (hazard) compared to other categories
References
[BPS] Biro Pusat Statistik. Statistik. 1994. Kesejahteraan Rakyat. Jakarta.
Clerici, M., Balotta, C., Meroni, L., Ferrario, E., Riva, C., Trabattoni, D., Ridolfo, A., Villa, M., Shearer, G.M., Moroni, M. and Galli, M. (1996). "Type 1 cytokine production and low prevalence of viral isolation correlate with long-term non progression in HIV infection". AIDS Res. Hum. Retroviruses. 12 (11): 1053–1061
Collet D. 2003. Modelling Survival Data in Medical Research. Second Edition. New York: Chapman & Hall.
Cox RD, Oakes D. 1984. Analysis of Survival Data. New York: Chapman & Hall.
Gharibvand, L. 2008. A Step-by-Step Guide to survival Analisis. University of California, Riverside.
Hosmer DW, Lemeshow S, May S. 2008. Applied Survival Analysis. Canada : John Wiley & Sons Inc.
Kleinbaum DG, Klein M. 2005. Survival Analysis: A Self-Learning Text. Second Edition. New York: Springer.
Klein J, Moeschberger R. 1997. Survival Analysis. New York: Springer.
Lee ET. 1992. Statistical Methods for Survival Data Analysis. Second Edition. New York: John Wiley & Sons, Inc.
Leung KM, Elashoff RM, Afifi AA. 1997. Cencoring Issues in Suvival Analysis. Annu. Rev. Public Health 1997, 18: 83-104.
Sudarman, Batara, A. S., & Haeruddin. (2021). Faktor yang Berhubungan dengan Kemampuan dan Kemauan Membayar Iuran BPJS Peserta Mandiri di Kelurahan Sanua Kecamatan Kendari Barat. Promotif?: Jurnal Kesehatan Masyarakat, 11(1), 45–57. https://jurnal.unismuhpalu.ac.id/index.php/PJKM/article/view/1517
Vittinghoff E, Shiboski SC, Glidden DV, McCulloch CE. 2004. Regression Methods in Biostatistics:Linear, Logistic, Survival, and Repeated Measures Models. New York:Springer.
Wulandari, A., Syah, N. A., & Ernawati, T. (2020). Faktor-Faktor yang Mempengaruhi Kepatuhan Peserta Mandiri Dalam Pembayaran Iuran Program Jaminan Kesehatan Nasional di Kota Solok. Jurnal Kesehatan Andalas, 9(1), 7. https://doi.org/10.25077/jka.v9i1.1219
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