Sigma Metrics of Biochemical Parameters in a Tertiary Care Hospital in Coastal Karnataka
Annual Research & Review in Biology · pp. 1–7 · Published 3 Feb 2018
10.9734/ARRB/2018/38660Abstract
Background: Six sigma is a process of quality measurement and improvement program used in industries. Sigma metrics can be used effectively in laboratory services as total testing process has multiple steps and error can occur anywhere. The present study was undertaken to evaluate the quality of the analytical performance of clinical chemistry laboratory by calculating sigma metrics. Methods: The study was conducted in the clinical biochemistry laboratory of Karwar Institute of Medical Sciences, Karwar. Sigma metrics of 15 parameters with automated chemistry analyzer, transasia XL 640, electrolytes with Roche electrolyte analyzer and thyroid hormones with Maglumi were analyzed. Results: Sigma values <3 for Urea, ALT, BD, BT, Ca, creatinine (L1) and urea, AST, BD (L2), sodium, potassium and T4 were observed. Sigma lies between 3-6 for Glucose, AST, cholesterol, uric acid, total protein (L1) and ALT, cholesterol, BT, calcium, creatinine and glucose (L2), chloride, T3,TSH.Sigma was more than 6 for Triglyceride, ALP, HDL, albumin (L1) and TG, uric acid, ALP, HDL, albumin, total protein (L2). Conclusion: Sigma metrics helps to assess analytical methodologies and augment laboratory performance. It acts as a guide for planning quality control strategy. It can be a self assessment tool regarding the functioning of clinical laboratory.
Cited by 0
No indexed citations yet.
Related research
- Robust Estimators for Estimation of Population Variance Using Linear Combination of Downton’s Method and Deciles as Auxiliary Information — shares topic coverage
- Modified Variance Estimators for Non Response Problems in Survey Sampling — shares topic coverage
- Variance Estimation Using Linear Combination of Skewness and Quartiles — shares topic coverage
- Ameliorated Ratio Estimator of Population Mean Using New Linear Combination — shares topic coverage
- Sample Size for Correlation Studies When Normality Assumption Violated — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.