Background: Globally, heart failure is a rapidly growing public health problem with an estimated prevalence of >37.7 million. It is a shared chronic phase of cardiac functional loss secondary to many etiologies. Objective: The main purpose of this study was to investigate the risk of longitudinal change in pulse rate on time to default from treatment among congestive heart failure patients. Methods: Hospital-based retrospective studies were conducted among 302 congestive heart failure patients who were 15 years old or older and who were on treatment follow-up from the

Introduction The survival of HIV/AIDS patients on antiretroviral therapy (ART) is determined by a number of factors, including economic, demographic, behavioral, and institutional factors. Understanding the survival time and its trend is crucial to developing policies that will result in changes. The aim of this study was to compare the survival estimates of different subgroups and look into the predictors of HIV/AIDS patient survival. Methods A retrospective cohort study of HIV/AIDS patients receiving ART at the University of Gondar teaching hospital was carried out. To compare the survival of various groups, a Kaplan-Meier survival analysis was performed. The Cox proportional hazards model was used to identify factors influencing HIV/AIDS patient survival rates. Results In the current study, 5.91% of the 354 HIV/AIDS patients under ART follow-up were uncensored or died. Age (HR = 1.051) and lack of formal education (HR = 5.032) were associated with lower survival rate, whereas family size of one to two (HR = 0.167), three to four (HR = 0.120), no alcoholic consumption (HR = 0.294), no smoking and chat use (HR = 0.101), baseline weight (HR = 0.920), current weight (HR = 0.928), baseline CD4 cell count (HR = 0.990), baseline hemoglobin (HR = 0.800), and no TB diseases were associated with longer survival rate. Conclusions Fewer deaths were reported in a study area due to high patient adherence, compared to previous similar studies. Age, educational status, family size, alcohol consumption, tobacco and chat usage, baseline and current weight, baseline CD4 cell count, baseline hemoglobin, and tuberculosis (TB) diseases were all significant predictors of survival of HIV/AIDS patients.

Background: Job satisfaction is the most interesting field for many researchers to study work attitude in workers. Employee job satisfaction is fulfillment, gratification, and enjoyment that comes from work. The main objective of this study is to identify and analyze the determinant factors leading to academic staff’s satisfaction and turnover intention in the Amhara regional state universities.Methods: The study was conducted in seven Amhara regional state government universities. Cross-sectional stratified sampling design was used. The stratum is based on these seven universities in Amhara regional state. In this investigation, ordinal logistic regression model was used.Results: The study covers 620 respondents from September 2016 up to August, 2017. The sample staffs surveyed from UOG, BDU, Wollo, Debre-Birihan, Debre-Markos, Debre-Tabor and Welidiya University were 21.3%, 23.7%, 9.4%, 7.6%, 14.5%, 12.1% and 11.5%, respectively. From these total respondents, 34.4% were satisfied with their job. From the total sample staff surveyed in the study, 26.0% were dissatisfied. 9.2%, 29.8% and 0.6% of the respondents were very dissatisfied, neutral and very satisfied in their jobs, respectively. 38.5% of the respondents were very eager to leave their job areas.Conclusions: The independent variables sex, age, place of birth, employer University, job position, responsibility, advancement, salary, achievement, work condition, work itself and turnover have significant relation with an academic job satisfaction.

Tuberculosis (TB) is still a public health problem and amongst the top 10 leading causes of death. The objective of this study is to analyze the survival time of TB patients and identify the risk factors that influence their survival in Pawe Hospital during the treatment period. The data for this study are obtained from TB patients registered books from September 2009 to January 2010 under Directly Observed Treatment, Short-course (DOTS) at the health centers in Pawe Hospital. The analytical methodologies used were the Kaplan-Meier to estimate the survival time and Cox's regression model to identify the covariates that have a statistically significant effect on the survival longevity of TB patients. The estimation of the model parameters was done by partial maximum likelihood procedures. The multivariate analysis of the Cox regression model gives that age, category (patient category), initial weight and HIV status have statistically significant effects on the survival longevity of TB patients. On the other hand, sex, marital status, and history of previous treatment have no impact on the survival experience of TB patients. The study shows that 84.5% of the patients were still alive at the end of 8 months of anti-TB treatment. Based on the result of the study, different factors are identified for the death of TB. Patients recommended that TB co-infected people should have