Background: Globally about 15 million newborns are born preterm every year. Over one million of them die due to complications related to prematurity. Preterm birth was a leading cause of neonatal death in Ethiopia. One in four of neonatal deaths in Ethiopia were due to prematurity related complications. But studies to identify determinants of preterm birth in the study area are limited. Objective: To identify determinants of preterm birth among newborns delivered in Bahir Dar city public hospitals, North West Ethiopia in 2019. Method: An institutional based unmatched case control study was conducted in 314 samples with 105 cases and 209 controls among newborns delivered in Bahir Dar city public hospitals. The sample size was calculated by Epinfo version7. All individual cases were selected consecutively. For each cases two controls were selected by using systematic random sampling technique. Data was collected using interviewer administrated structured questioners. The collected data was entered into Epinfo version 7 and then exported to SPSS version 20. Independent variables with p-value less than 0.2 in the bi-variable analysis were entered into multivariable logistic regression model. Statistical significance level was declared at p-value less than 0.05. Model assumption were checked by Hosmer-lemeshow goodness-of-fit test. Result: The study identified; low birth interval AOR = 2.28 (95 % CI= 1.18- 4.42), lower number of ANC visit AOR = 3.89 (95 % CI =2.17- 6.97), previous history of preterm birth AOR = 5.69 (95 % CI =1.93- 16.66), premature rapture of membrane AOR = 3.58 (95 % CI =1.11-11.54), preeclampsia/eclampsia AOR = 2.86 (95 % CI =1.01- 8.08), lower level hemoglobin level AOR = 3.89 (95 % CI =2.01- 7.51) were positively associated with preterm birth. Conclusion: Previous history of preterm births, preeclampsia and premature rapture of membrane, fewer number of antenatal care visit, lower birth interval, and lower hemoglobin level were found determinants of preterm birth. Therefore encouraging women to attend four or more antenatal care visits, health education on the importance of birth spacing and anemia prevention and treatment may help to prevent preterm birth.
Objective: Although breast self-examination has been shown to be the least-expensive, less time-consuming, and non-invasive screening method, still there is a gap in practice. Furthermore, the information among more risky population which attends anti-retroviral therapy is too limited. Therefore, the aim of this study is to assess breast self-examination practices and its associated factors among women who attended the anti-retroviral therapy clinic in Bahir Dar city administration, Northwest Ethiopia. Methods: An institution-based cross-sectional study was conducted among 660 women who attended anti-retroviral therapy clinics from March 1 to March 30, 2020. A systematic random sampling technique was used to select study participants. Pre-tested interviewer-administered questionnaires were used to collect data. Data were entered in to EPI data 3.1 and exported to Statistical Package for the Social Sciences version 23.00 software for analysis. A binary logistic regression model was fitted to identify factors associated with self-breast examination. Variables with a p value less than 0.2 in bivariable regression were candidates for multivariable regression. Adjusted odds ratios with a 95% confidence intervals and p values less than 0.05 were used to determine the association between independent and dependent variables. Hosmer–Lemeshow Test was used to determine model fitness. Result: Among 641 study participants, 224 (34.9%) have ever practiced breast self-examination. Women who attended college or above (adjusted odds ratio = 4.04, 95% confidence interval (1.65,9.90)), rich (adjusted odds ratio = 6.64, 95% confidence interval (2.72,16.20)), knowledgeable about signs and symptoms of breast cancer (adjusted odds ratio = 5.13, 95% confidence interval ( 2.55,10.31)), risk factors for breast cancer (adjusted odds ratio = 3.62, 95% confidence interval (1.85,7.07)), positive attitude toward breast self-examination (adjusted odds ratio = 2.76,95% confidence interval (1.41,11.84)), family history of breast cancer (adjusted odds ratio = 3.68,95% confidence interval (1.14,11.84)), and knowledge about breast self-examination technique (adjusted odds ratio = 2.64, 95% confidence interval (1.23,5.66)) had higher odds of breast self-examination practice. Conclusion: The practice of breast self-examination was low. During their regular visits for other issues, education and information dissemination about the benefits and techniques of self-breast examination is recommended.
To alleviate the problem of hardware complexity, energy wastage and increased cost of deployment in massive multiple input multiple output (MIMO) system, joint antenna selection and user scheduling (JASUS) algorithms are proposed which reduce the computational complexity of optimal exhaustive search algorithm with a scarification of some spectral efficiency (SE). These algorithms remove the worst performance antenna greedily and results in best set of antennas and users at the same time. But all JASUS algorithms use semi-orthogonal user scheduling (SUS) to select users and zero forcing (ZF) precoding to mitigate co-channel interferences. A semi-orthogonal user scheduling scheme generates a high computational complexity for massive MIMO systems. Therefore, in this work with the objective of reducing the complexity of SUS, we implement two low complexity user scheduling in JASUS algorithm. These are norm-based user scheduling (NUS) and random user scheduling (RUS). Also, we apply minimum mean square error (MMSE) and maximum ratio transmission (MRT) precoding techniques along with user scheduling schemes to examine their SE and computational complexity performance when implemented in JASUS algorithm. Compared with the originally implemented SUS user scheduling technique, NUS showed a slightly better SE performance under all precoding schemes with a much reduced complexity. RUS shows around 3 bits/s/Hz performance decrement with much less computational complexity as compared to SUS in JASUS algorithm. Also, performance
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