scholarly journals A study of pre-analytical errors in the clinical biochemistry laboratory at Victoria hospital, BMCRI, Bangalore

2022 ◽  
Vol 8 (4) ◽  
pp. 278-280
Author(s):  
Sreeja Shanker J ◽  
H L Vishwanath ◽  
Vibha C ◽  
Muralidhara Krishna
Keyword(s):  
Observational Study ◽  
Prospective Observational Study ◽  
Clinical Biochemistry ◽  
Phase Error ◽  
Percentage Error ◽  
Corrective Measures ◽  
Analytical Phase ◽  
Clinical Biochemistry Laboratory ◽  
Phase Evaluation ◽  
Analytical Errors

To categorize and calculate the percentage error of pre-analytical variables in the clinical biochemistry laboratory. Prospective observational study conducted for two months with documenting the frequency and type of pre-analytical errors occurring in venous samples. The total errors recorded were 1.31%. Insufficient volume followed by haemolysis amounted to a major proportion of errors. Continuous pre-analytical phase evaluation and taking corrective measures to make this phase error-free, have to be done.

scholarly journals RETROSPECTIVE EVALUATION OF PRE-ANALYTICAL ERRORS IN CLINICAL BIOCHEMISTRY LABORATORY AT A TERTIARY CARE CENTRE IN RAJSAMAND, RAJASTHAN.

2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Richa K. Lath ◽  
Umeshkumar Pareek ◽  
Renu Sharma ◽  
Aniruddha N. Jibhkate ◽  
Ashish A. Jadhav ◽  
...  
Keyword(s):  
Clinical Biochemistry ◽  
Tertiary Care ◽  
Tertiary Care Centre ◽  
Percentage Occurrence ◽  
Preventive Actions ◽  
Ensure Patient Safety ◽  
Different Types ◽  
Analytical Phase ◽  
Clinical Biochemistry Laboratory ◽  
Analytical Errors

Background: This study was carried out to identify the causes of pre-analytical errors in the clinical biochemistry laboratory and their percentage occurrence so as to formulate the strategy for necessary corrective and preventive actions. Methods: A retrospective quantitative study was conducted in the department of biochemistry to identify the different causes of pre-analytical errors in the outpatient and inpatient samples. The sample rejection register and test requisition forms for the period of May 2018 to April 2019 were analysed and the percentage occurrence of the different types of errors was calculated. Results: Data analysis revealed that the occurrence of different errors was as follows: hemolysis (46.43%), sample not received (28.32%), insufficient quantity (8.16%), improper collection technique (7.14%), delayed transport (5.87%), wrong container (1.79%), sample clotted (1.28%), lipemic sample (0.77%) and sample exchanged during separation in lab (0.26%). Conclusion: The decline in the errors during the analytical phase of sample processing has shifted the focus towards reducing errors occurring in the pre-analytical phase. This is necessary to ensure patient safety. Keywords: Pre-analytical errors, Biochemistry, hemolysis.

scholarly journals Accuracy, Precision, and Trending Ability of Electrical Cardiometry Cardiac Index versus Continuous Pulmonary Artery Thermodilution Method: A Prospective, Observational Study

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
P. B. W. Cox ◽  
A. M. den Ouden ◽  
M. Theunissen ◽  
L. J. Montenij ◽  
A. G. H. Kessels ◽  
...  
Keyword(s):  
Cardiac Index ◽  
Observational Study ◽  
Pulmonary Artery ◽  
Prospective Observational Study ◽  
Skin Incision ◽  
Percentage Error ◽  
Quadrant Analysis ◽  
Polar Plot ◽  
Electrical Cardiometry ◽  
Trending Ability

Introduction. Evaluation of accuracy, precision, and trending ability of cardiac index (CI) measurements using the Aesculon™ bioimpedance electrical cardiometry (Aesc) compared to the continuous pulmonary artery thermodilution catheter (PAC) technique before, during, and after cardiac surgery. Methods. A prospective observational study with fifty patients with ASA 3-4. At six time points (T), measurements of CI simultaneously by continuous cardiac output pulmonary thermodilution and thoracic bioimpedance and standard hemodynamics were performed. Analysis was performed using Bland-Altman, four-quadrant plot, and polar plot methodology. Results. CI obtained with pulmonary artery thermodilution and thoracic bioimpedance ranged from 1.00 to 6.75 L min−1 and 0.93 to 7.25 L min−1, respectively. Bland-Altman analysis showed a bias between CIBIO and CIPAC of 0.52 liters min−1 m−2, with LOA of [−2.2; 1.1] liters min−1 m−2. Percentage error between the two techniques was above 30% at every time point. Polar plot methodology and 4-quadrant analysis showed poor trending ability. Skin incision had no effect on the results. Conclusion. CI obtained by continuous PAC and CI obtained by Aesculon bioimpedance are not interchangeable in cardiac surgical patients. No effects of skin incision were found. International clinical trial registration number is ISRCTN26732484.

scholarly journals DIFFERENT TYPES OF PRE ANALYTICAL ERRORS IN CLINICAL BIOCHEMISTRY LAB OF OSMANIA GENERAL HOSPITAL AND HOW TO MINIMIZE THEM.

2021 ◽  
pp. 20-21
Author(s):  
Bushra Hamed ◽  
N. Jaya
Keyword(s):  
Observational Study ◽  
General Hospital ◽  
Nursing Staff ◽  
Clinical Biochemistry ◽  
Different Types ◽  
Proper Training ◽  
Analytical Errors ◽  
Time Of Collection

OBJECTIVES:To study different types of pre-analytical errors in clinical biochemistry lab and how to minimize them. METHODOLOGY: An observational study was done at Department of Biochemistry , Osmania General Hospital for a period of 2 months from Aug 2020-Sep 2020.During this phase different types of errors were monitored. RESULTS: During a period of 2 months ,10000 samples were analyzed and among them 400 were found to be having an error. i.e. 4%. Among them Hemolyzed samples (37.5%), Lipemic samples(25%), Misidentification of samples(15%), Insufficient volume(12.5%) and Sample mixing (10%). CONCLUSION: Proper training to nursing staff and phlebotomist regarding use of vacutainer needles instead of syringes and time of collection of samples reduces the error of hemolysis and lipemia.Use of Barcode labels reduces the error of misidentification. Proper education regarding volume of blood to be collected and use of correct vacutainers reduces the error of insufficient volume and sample mixing.

scholarly journals Preanalytical Variables: Role in laboratory testing

2019 ◽  
Vol 5 (6) ◽  
pp. 236-238
Author(s):  
Kanchan Singh ◽  
◽  
Abhas Kumar Singh ◽  
Keyword(s):  
Patient Care ◽  
Laboratory Testing ◽  
Clinical Biochemistry ◽  
Error Rates ◽  
Hospital Laboratory ◽  
Care And Treatment ◽  
Analytical Phase ◽  
Clinical Biochemistry Laboratory

Introduction: In present medical scenario diagnosis of various diseases largely depends on investigations performed at hospital laboratory and with the advancement of technology error rates in analytical phase reduced drastically but still preanalytical errors in laboratories are very common and play a very important role in patient care and treatment. Objectives: To identify the nature and frequency of pre-analytical factors responsible for sample rejection. Methodology: The study was conducted in Clinical Biochemistry laboratory of Department of Biochemistry, over a period of 6 months from October 2018- March 2019 on total 33,303 samples which include OPD samples (n=20040 ), IPD samples (n= 11488) and Emergency samples (n=1775) and in these samples different preanalytical variables were categorized separately. Results and Conclusion: Out of 33303 samples analysed over a period of 6 months preanalytical errors were seen in 1.38% (n=461) samples, with the commonest error was incomplete requisition forms followed by hemolysis of sample.

Prospective Observational Study of Sleep and PTSD Symptoms in Patients Undergoing PTSD Treatment

2009 ◽  
Author(s):  
Ihori Kobayashi ◽  
Brian Hall ◽  
Courtney Hout ◽  
Vanessa Springston ◽  
Patrick Palmieri
Keyword(s):  
Observational Study ◽  
Prospective Observational Study ◽  
Ptsd Symptoms ◽  
Ptsd Treatment

The 1000Plus study protocol – a prospective observational study on the mismatch concept in a 3.0 T MRI

2009 ◽  
Vol 36 (S 02) ◽  
Author(s):  
B Hotter ◽  
S Pittl ◽  
M Ebinger ◽  
G Oepen ◽  
K Jegzentis ◽  
...  
Keyword(s):  
Observational Study ◽  
Study Protocol ◽  
Prospective Observational Study ◽  
3.0 T ◽  
3.0 T Mri
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