Background: Breast cancer is a major life-threatening global public health problem. It is the most common form of cancer in females in many developing countries including Ethiopia. Social networks could change the course of cancer and can influence the quality of life among breast cancer patients. Therefore, the purpose of this study was to assess social networks and quality of life among female breast cancer patients attending in Tikur Anbassa Specialized Hospital, Addis Ababa, Ethiopia 2019. Methods: An institutional-based cross-sectional study was conducted in Tikur Anbessa Specialized Hospital Addis Ababa, Ethiopia from March 1 to April 30/2019. A total of 214 female breast cancer patients were included Binary and multiple logistic regression was used to show the association of social networks and quality of life. Result: A total of 214 females with breast cancer were recruited with a mean age of 41.85. Participants who had children (AOR = 5, 95%CL: 1.3,21 COR = 6), and other relatives (AOR = 6, 95%CI: 1.2,30, COR = 7), were more likely to have good social networks. Participants who were not married (AOR = 0.02, 95%CI: 0.03, 0.28), had no parents living (AOR = 0.1, 95%CI: 0.02, 0.4), no close friends (AOR = 0.06, 95%CI: 0.01, 0.4), and no neighbors (AOR = 0.09, 95%CI: 0.03, 0.5) had poor social networks. Conclusion: The quality of life was relatively low and social support were found to be poor in women with breast cancer. Health-care providers in oncology departments need to focus on addressing the side effects of therapy and social networks which may help to improve the quality of life of females with breast cancer.

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BackgroundGlobally, the incidence of necrotizing enterocolitis (NEC) varies between 6 and 15% of all neonates admitted to the neonatal intensive care unit (NICU). Though necrotizing enterocolitis is a multifactorial and life-threatening disease, low birth prematurity is the single cause. Therefore, determining the time to presentation and its predictors of necrotizing enterocolitis were the main goals of this investigation.Materials and methodsAn institution-based retrospective follow-up study was conducted among 747 low birth weight (LBW) neonates admitted to the neonatal intensive care unit of Felege Hiwot comprehensive specialized Hospital from 1 January 2017 to 30 December 2019. The sample size was calculated by using the STATA package. Data were entered into Epi data version 3.1 and exported to STATA version 14 for analysis. The log-rank test and the Kaplan–Meier estimator were used to display the survival probability and differences between groups. At a significance threshold of 5%, Cox proportional hazard regression was performed to determine the net independent predictors of necrotizing enterocolitis.ResultThe overall incidence rate was 0.86 per 1,000 person-days (95% CI: 0.67, 1.14) with a 6.8% (95% i: 5.2, 8.9) proportion of necrotizing enterocolitis among low birth weight neonates. Preeclampsia [adjusted hazard ratio (AHR);1.92 (95% CI: 1.03–3.58)], premature rapture of membrane [AHR; 2.36 (95%, CI: 1.19–4.69)], perinatal asphyxia [AHR; 4.05 (95%, CI: 2.04–8.60)], gestational age between 28 and 32 weeks [AHR; 3.59 (95% CI: 1.01–8.83)], and birth weigh less than 1,000 g [AHR; 5.45 (95% CI: 3.84–9.12) were the independent predictors of necrotizing enterocolitis.ConclusionWithin the first 1–7 days of a newborn’s life, necrotizing enterocolitis was most common. It was discovered that preeclampsia, premature rupture of membrane, perinatal asphyxia, gestational age of 28–32 weeks, and birth weight less than 1,000 g were predictors of its occurrence.

Background: Breast cancer is a major life-threatening global public health problem. It is the most common form of cancer in females in many developing countries including Ethiopia. Social networks could change the course of cancer and can influence the quality of life among breast cancer patients. Therefore, the purpose of this study was to assess social networks and quality of life among female breast cancer patients attending in Tikur Anbassa Specialized Hospital, Addis Ababa, Ethiopia 2019. Methods: An institutional-based cross-sectional study was conducted in Tikur Anbessa Specialized Hospital Addis Ababa, Ethiopia from March 1 to April 30/2019. A total of 214 female breast cancer patients were included Binary and multiple logistic regression was used to show the association of social networks and quality of life. Result: A total of 214 females with breast cancer were recruited with a mean age of 41.85. Participants who had children (AOR=5, 95%CL: 1.3,21 COR=6), and other relatives (AOR=6, 95%CI: 1.2,30, COR=7), were more likely to have good social networks. Participants who were not married (AOR=0.02, 95%CI: 0.03, 0.28), had no parents living (AOR=0.1, 95%CI: 0.02, 0.4), no close friends (AOR=0.06, 95%CI: 0.01, 0.4), and no neighbors (AOR=0.09, 95%CI: 0.03, 0.5) had poor social networks. Conclusion: The quality of life was relatively low and social networks were found to be poor in women with breast cancer. Health-care providers in oncology departments need to focus on addressing the side effects of therapy and social networks which may help to improve the quality of life of females with breast cancer.

Background : Breast cancer is a major life-threatening public health problem in the world. It is the most common form of cancer on females in many developing countries including Ethiopia. Social networks could change the course of cancer and can influence the quality of life among breast cancer patients. Therefore, the purpose of this study was to assess social networks and quality of life among female breast cancer patients attending in Tikur Anbassa Specialized Hospital, Addis Ababa, Ethiopia 2019. Methods : An institutional-based cross-sectional study was conducted in Tikur Anbessa Specialized Hospital Addis Ababa, Ethiopia from March to April 2019. A total of 214 female breast cancer patients were included and a systematic sampling method was used. A structured and pre-tested questionnaire was used. Data entry was done using epi data version 4.2. Data analysis was done using Statistical Package for the Social Sciences version 25. Binary and multiple logistic regression was used to show the association of social networks and quality of life. The strength of association was declared P-value <0.05 and 95%CI was used. Result: A total of 214 female with breast cancer were recruited with a mean age of 41.85. From participants, 13(6%), 65(30%) and 136(64%) had limited, medium and diverse social networks respectively. However, 198(92.52%) of them had affected the quality of life. It was found that participants who had children (AOR=5, 95%CL:1.3,21 COR=6), and other relatives(AOR=6, 95%CI: 1.2,30, COR=7), were more likely to have good social networks. In addition, it was found that participants who had systematic therapy side effects(AOR=3.8, 95%CI: 1.1,13, COR=4, p value=0.035), problem of appetite loss(AOR=3.5, 95%CI: 1.02,12 COR=4, p-value= 0.047) were more likely to have affected Quality of life. Conclusion: In this study finding, the quality of life and social networks on breast cancer females was relatively low. Healthcare providers especially working at the oncology department need to focus on addressing the side effects of therapy and social networks which may help to improve the quality of life of females with breast cancer.