A study of pre-analytical variables and quality improvement in testing process of clinical laboratory
Journal Title: International Journal of Clinical Biochemistry and Research - Year 2016, Vol 3, Issue 3
Abstract
Introduction: Laboratory tests are important to diagnose the diseases, to monitor the progress and to see the response to the treatment of patients. Pre-analytical variables include specimen collection, timing, transportation & handling of the sample processing. Methodology: The data were obtained from Biochemistry Central Laboratory, Descriptive Cross Sectional study design was used and data were entered in excel and analysed by using Epi-info Software version 3.4.3. Descriptive statistics like frequencies and percentages were calculated. Results: The total number of samples received by the laboratory for a period of two months was 7333 and analyzed for preanalytical errors in those samples. The most common pre-analytical error was wrong ordering which is 16.73% & followed by hemolysed sample, insufficient quantity, mixed with saline, empty tubes and the least one was mismatched samples. Conclusion: Quality improvement in the pre-analytical phase helps laboratories to deliver more timely and accurate test results for clinicians.
Authors and Affiliations
Mahantesh Patil, Meera S
A comparative study on lipid profile and uric acid among smokers and non-smokers
Introduction: Smoking cigarette/beedi leads to increased concentration of serum total cholesterol, triglyceride, low density lipoprotein and very low density lipoprotein, decreased in level of anti atherogenic high densi...
Estimation of prostate specific antigen in metabolic syndrome- a study in south Indian male population
Introduction: The main aim of our study was to assess the role of prostate specific antigen in Indian males and to determine its correlation with insulin resistance in metabolic syndrome. Materials and Methods: For this...
Association of 25 OH-Vitamin D and hs-CRPin adults with Essential Hypertension
Essential hypertensionis a typical example of complex, multifactorial trait and a well studied risk factor for cardiovascular disease. hs-CRP is well known marker of inflammation resulting in atherosclerosis and cardiova...
Comparison of dye-based proteinuria estimation methods with immunoturbidimetric microalbuminuria estimation, in screening for diabetic
We compared the performance of Coomassie Brilliant Blue CBB and Ponceau S dyes based proteinuria estimation methods with immunoturbidimetry microalbumin estimation to develop new cutoffs for proteinuria which would help...
Correlation of Serum C-peptide and Serum uric acid Levels with Glycated Hemoglobin in Patients of Type 2 Diabetes Mellitus
Background: Alterations in serum uric acid levels are associated with changes in Blood glucose. While impaired Glucose tolerance is accompanied with increased levels of Uric acid, the levels decrease once overt diabetes...