Evaluation of Sigma Metrics and Westgard Rule Selection and Implementation of Internal Quality Control in Clinical Chemistry Reference Laboratory, Ethiopian Public Health Institute.

Clinical laboratories are mandated to deliver accurate, reliable, timely and correctly reported result which, used in decision making for disease screening, diagnosis and monitoring. With aid of six sigma principles and metrics it is possible to assess the quality laboratory process and the quality control that is needed to ensure that the desired quality is achieved. Thus, this study was undertaken to evaluate the performance of biochemical parameters by calculating the sigma metrics of individual parameters using internal quality control (IQC) and Proficiency Testing (PT) results. The sigma metrics of 21 clinical chemistry parameters were calculated from COBAS 6000 analyzer with internal quality control (IQC) materials and external quality assurance scheme (EQAS) performance in national clinical chemistry laboratory for the period of six months. We obtained an excellent performance (≥ 6 sigma) for test parameters amylase pancreatic, amylase total, HDL, magnesium, AST, triglyceride, total bilirubin and ALT in both levels of quality control. Urea, creatinine and chloride were failed to meet the minimal sigma performance for both level 1 and 2. Sigma values of 3-6 were observed for ALP, Direct bilirubin, total protein, albumin, glucose, potassium, and phosphate with both levels of quality control. Though, stringent IQC strategy is not mandatory for analytes that scored sigma value ≥ 6. However, continuous monitoring quality control is required for renal function tests and process improvement will be designed for those with poor sigma values.

Cardiometabolic syndrome and associated factors among Ethiopian public servants, Addis Ababa, Ethiopia.

Non-communicable diseases (NCDs) are increasingly becoming the global cause of premature death encompassing cardiovascular diseases (CVDs), cancer, respiratory diseases and diabetes mellitus. However, cardiometabolic risk factors in the general population, especially among the high-risk groups have rarely been assessed in Ethiopia. The study aimed to assess the prevalence of metabolic syndrome, its components and associated factors among staff in the Ethiopian Public Health Institute (EPHI). An institutional-based cross-section study was conducted from March to June 2018 among EPHI staff members. A total of 450 study participants were involved in the study, and the World Health Organization NCD STEPS survey instrument version 3.1 was used for the assessment. The biochemical parameters were analyzed by using COBAS 6000 analyzer. Statistical package for the social science (SPSS) version 20 was used for data analysis. Both bivariate and multivariate logistic regression analyses were used to identify associated risk factors. p value < 0.05 was considered for statistical significance. The overall prevalence of metabolic syndrome was 27.6% and 16.7% according to IDF and NCEP criteria respectively, with males having greater prevalence than females (35.8% vs 19.4%). Central obesity, low high-density lipoprotein (HDL) and hypertension had a prevalence of 80.2%, 41.3%, and 23.6%, respectively. In multivariate analysis increasing age and having a higher body mass index (25-29.9) were significantly associated with metabolic syndromes. The magnitude of metabolic syndrome was relatively high among public employees. Preventive intervention measures should be designed on the modification of lifestyle, nutrition and physical activities, and early screening for early identification of cardiometabolic risks factors should be practised to reduce the risk of developing cardiovascular diseases.