Modeling Time-to- Death of Women with Cervical Cancer: A Case Study at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia

Abstract

Background: Cervical Cancer is one of the leading causes of death in the world and represents a tremendous burden on patients, families and societies. It is estimated that over one million women worldwide currently have cervical cancer; most of them have not been diagnosed, or have no access to treatment that could cure them or prolong their lives. This study aimed at investigated the potential risk factors affecting death time of women with cervical cancer at Tikur Anbessa Specialized Hospital. Method: Data were taken from patients’ medical record card that enrolled during September 2011 to September 2015. Kaplan-Meier estimation method, Cox proportional hazard model and Accelerated failure time were used for the analysis with the help of R statistical package and STATA software’s. Results: The Lognormal Accelerated failure time model was preferred over Exponential, Weibull and Log-logistic models based on Akaike’s Information Criterion evidence. The results implied that not giving birth up to the study ends were prolong the timing death of cervical cancer patients while age class 51-60, 61-70,>70, smoking cigarettes, patients with stage III & IV disease, family history of cervical cancer, history of abortion and living with HIV AIDS were significantly shorten survival time of cervical cancer patients. Conclusion: Finally, the findings of this study implied that age, smoking cigarettes, region, stage, family history, abortion history, living with HIV AIDS and age at first birth were major factors related to survival time of cervical cancer patients. It is recommended policy maker, ministry of health and mass media to make interventions based on the risky groups for cervical cancer.