Comparison of Routine Analytical Methods in the Netherlands for Seven Serum Constituents Using Pattern Recognition

1983 ◽  
Vol 20 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Rob T P Jansen
Keyword(s):  
Pattern Recognition ◽  
The Netherlands ◽  
Calcium Chloride ◽  
Analytical Method ◽  
Analytical Methods ◽  
Inorganic Phosphate ◽  
Dimensional Space ◽  
Control Program ◽  
Internal Quality ◽  
Quality Control Program

Routine analytical methods for seven serum analytes (calcium, chloride, cholesterol, glucose, inorganic phosphate, urate, and urea) are assessed using data from the Netherlands coupled external/internal quality control program. From the results of a trial each method can be described by four features: measures of bias, between-day precision, tendency to give erroneous results, interlaboratory variance. These four features of each trial determine a vectorpoint in the four-dimensional space for a particular method. From 12 trials a maximum of 12 vectorpoints per analytical method was obtained. Pattern recognition techniques allowed the detection of clusters of vectorpoints. Analytical methods having vectorpoints classified in different clusters perform differently. The mean feature values of the vectorpoints forming a cluster determine the quality of that cluster. A weighting procedure reveals the importance of the respective features for discriminating the clusters. For all of the seven analytes, clusters of vectorpoints were found. Different features appeared to contain discriminatory power for different analytes. For six analytes (calcium, chloride, cholesterol, glucose, inorganic phosphate, and urea) an analytical method was found to classify predominantly in the qualitative best cluster. One analytical method for the determination of chloride and one for glucose, inorganic phosphate, and urea did not cluster at all.

A Technique for the Objective Assessment of Routine Analytical Methods in Clinical Laboratories Using Pattern Recognition

1981 ◽  
Vol 18 (4) ◽  
pp. 218-225 ◽  
Author(s):  
Rob T P Jansen ◽  
F W Pijpers ◽  
G A J M De Valk
Keyword(s):  
Pattern Recognition ◽  
Analytical Method ◽  
Analytical Methods ◽  
Dimensional Space ◽  
Objective Assessment ◽  
Control Programme ◽  
Internal Quality ◽  
Bias Drift ◽  
Clinical Laboratories

A technique is presented to assess objectively the reliability of analytical methods used routinely in clinical laboratories. From the Netherlands National Coupled External/Internal Quality Control Programme information can be gathered about the performance of routine analytical methods. The performance of a method in a trial is described by four ‘features’: the accuracy of a method; its day to-day precision; its susceptibility to give erroneous results (eg, extreme bias, drift, extreme week-to-week variations); and its susceptibility to give systematic errors for different laboratories. These four features obtained in a trial for a given analytical method determine the position of a ‘pattern’ in the four-dimensional space. The results of six trials discussed in this paper provided six ‘patterns' per analytical method. Using pattern recognition techniques, clusters of patterns were detected in the four-dimensional space. A weighting procedure revealed the relative importance of the various features for discrimination between the detected clusters. For various blood components, different features are of importance for this discrimination. Patterns belonging to the same clusters appeared to be patterns of the same (or comparable) analytical methods; thus analytical methods could be distinguished from each other. The means of the feature values of the patterns in a cluster determine the quality of that cluster. Thus the quality of an analytical method can be objectively assessed. Some tentative conclusions on the validity of analytical methods are given.

scholarly journals Interlaboratory Oral Anticoagulant Quality Assessment by the Netherlands Federation of Thrombosis Services

1977 ◽  
Author(s):  
C.A. van Dijk-Wierda ◽  
J. Hermans ◽  
E.A. Loeliger ◽  
J. Roos
Keyword(s):  
Quality Control ◽  
The Netherlands ◽  
Random Error ◽  
Control Program ◽  
Great Majority ◽  
Internal Quality ◽  
Quality Control Program ◽  
Blood Samples ◽  
Monthly Distribution ◽  
External Program

The 50 laboratories of the Netherlands Federation of Thrombosis Services have participated since 1974 in a voluntary external and internal quality control program. The external program comprises a monthly distribution to the member laboratories of a series of artificially prepared control blood samples, two of which are identical. The overall variation of the coagulation times found were 10% (CV) in 1974 and 8% (CV) in 1975 and 1976. Performance improved rather abruptly at the beginning of 1975, after the application of a tight methodological standardization and improvement by the manufacturer of the thromboplastin preparation (Thrombotest) used by the great majority of the laboratories involved. The main source of variation wasfound to be random error in the Thrombotest determination, approximating 6%. interbatch variation of Thrombotest and inter-aliquot variation of control blood samples both do amount to approximately 3%.

Interlaboratory Oral Anticoagulant Quality Assessment by the Netherlands Federation of Thrombosis Services

1977 ◽  
Vol 37 (03) ◽  
pp. 509-522 ◽  
Author(s):  
C. A van Dijk-Wierda ◽  
J Hermans ◽  
E. A Loeliger ◽  
J Roos
Keyword(s):  
The Netherlands ◽  
Control Program ◽  
Great Majority ◽  
Internal Quality ◽  
Lower Sensitivity ◽  
Reference Laboratory ◽  
Quality Control Program ◽  
Blood Samples ◽  
Monthly Distribution ◽  
External Program

SummaryThe 50 laboratories of the Netherlands Federation of Thrombosis Services, covering a population of 9 million and responsible for the laboratory control of approximately 150,000 patients under oral anticoagulation, have participated since 1974 in a voluntary external and internal quality control program. The external program comprises a monthly distribution to the member laboratories of a series of artificially prepared control blood samples, two of which are identical. The overall variation of the coagulation times found were 10% (CV) in 1974 and 8% (CV) in 1975. Performance improved rather abruptly at the beginning of 1975, after the application of a tight methodological standardization and improvement by the manufacturer of the thromboplastin preparation (Thrombotest) used by the great majority of the laboratories involved. The main source of variation was found to be random error in the Thrombotest determination, approximating 6%. Interbatch variation of Thrombotest and inter-aliquot variation of control blood samples both do amount to approximately 3% (CV). In terms of rabbit tissue thromboplastins, which have a lower sensitivity than Thrombotest (i. e., a flatter slope of the correlation between the PT and the anticoagulant effect), the total variation in the performance of the Dutch laboratories is 2.2-5.6% (CV), which is unusually low. The main reason for this is the fact that the laboratories can rely not only on the services of the manufacturer but also on a central information office and a reference laboratory responsible for the preparation of the control blood as well as the standardization (calibration) of thromboplastin.

scholarly journals Standards versus Standardised Methods in Enzyme Assay

1983 ◽  
Vol 20 (1) ◽  
pp. 52-59 ◽  
Author(s):  
R T P Jansen ◽  
A P Jansen
Keyword(s):  
Quality Control ◽  
Alkaline Phosphatase ◽  
Creatine Kinase ◽  
Lactate Dehydrogenase ◽  
Alanine Aminotransferase ◽  
Enzyme Assay ◽  
Control Program ◽  
Internal Quality ◽  
Quality Control Program ◽  
Control Serum

In a trial of the Netherlands coupled external/internal quality control program a control serum and an enzyme standard were analysed over a period of eight weeks, five times each week. Five enzymes were determined: alkaline phosphatase, creatine kinase, lactate dehydrogenase, alanine aminotransferase, and γ-glutamyltransferase. The measured values in the serum were converted to the standards. Those laboratories using the recommended methods also submitted their non-transformed serum values. The following standardisation techniques have been compared: ( a) no standardisation of methodology but use of enzyme standards; ( b) standardisation of methodology; ( c) standardisation of methodology combined with use of an enzyme standard. Results were submitted to analysis of variance. Standardisation of methodology did not yield smaller interlaboratory variation than the standardisation with enzyme standards. In this trial a combination of both standardisation techniques yielded generally better results. Results for γ-glutamyltransferase indicate that standardisation of substrate may be necessary apart from the use of an enzyme standard. The preparation of stable enzyme standards is stressed.

scholarly journals Variation in 1(3S) and 2(2S) rejections incidence in internal quality control program on using 20 reading mean and SD of different periods

2016 ◽  
Vol 7 (2) ◽  
pp. 48
Author(s):  
Khushbu Suryaprakash Soni ◽  
Riddhiben Rajendrakumar Patel ◽  
Shailesh Manubhai Patel ◽  
Sarita Jagadishbhai Mangukia
Keyword(s):  
Quality Control ◽  
Control Program ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Quality Control Program

ARIC Hemostasis Study - III. Ouality Control

1993 ◽  
Vol 70 (04) ◽  
pp. 588-594 ◽  
Author(s):  
Lloyd E Chambless ◽  
Robert McMahon ◽  
Andrea Finch ◽  
Paul Sorlie ◽  
Gerardo Heiss ◽  
...  
Keyword(s):  
Quality Control ◽  
Control Program ◽  
Internal Quality Control ◽  
Factor Vii ◽  
Quality Assurance Program ◽  
Internal Quality ◽  
Blood Collection ◽  
Quality Control Program ◽  
Atherosclerosis Risk In Communities ◽  
Field Center

SummaryMethods and results from the quality assurance program of the Atherosclerosis Risk in Communities (ARIC) Study regarding hemostasis variables are presented, following up previous reports in this journal on standardized procedures for blood collection and processing (7) and an organized plan for the performance of those procedures (8). Efforts were made to control for and assess all sources of variability, from venipuncture to laboratory analysis, including also local field center processing and sample shipping. The quality control program included (a) a standardized protocol for blood collection and processing; (b) training, certification, and annual recertification of field center personnel for blood collection and processing; (c) monitoring of fasting times, phlebotomy times, processing times, and shipping problems; (d) hemostatic laboratory internal quality control; (e) a replicate blood sample program; (f) an intraindividual variability study; and (g) continual monitoring of quality control and study participants’ data. This paper focused on items (c), (d), and (e). Measures of Variation, generally Standard deviations and coefficients of Variation, are estimated for replicate blood sampling and internal quality control data, for activated partial thromboplastin time, fibrinogen, factor VII and VIII activity, von Willebrand factor, antithrombin-III, and protein C. The results demonstrate that it is possible to reliably measure these hemostatic variables in a large multicenter study.

scholarly journals COLLABORATIVE TRIAL AND QUALITY CONTROL IN CHEMICAL ANALYSIS

2010 ◽  
Vol 2 (3) ◽  
pp. 135-141
Author(s):  
Narsito Narsito
Keyword(s):  
Quality Control ◽  
Chemical Analysis ◽  
Analytical Method ◽  
Control Charts ◽  
Analytical Data ◽  
Control Program ◽  
Quality Parameter ◽  
Quality Control Program ◽  
And Control

Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data

Comparison of previous reports in indoor patients-a potential tool for internal quality assurance in clinical biochemistry

2012 ◽  
Vol 1 (10) ◽  
pp. 61
Author(s):  
Parveen Bansal
Keyword(s):  
Quality Assurance ◽  
Control Program ◽  
Working Hours ◽  
Quality Assurance Program ◽  
Internal Quality ◽  
Clinical Report ◽  
Quality Control Program ◽  
Internal Quality Assurance ◽  
Workflow Efficiency ◽  
Potential Tool

Laboratory testing is an important and integral part of the decision-making process and strongly influences medical diagnosis and therapies. Normally the extraneous results in a clinical report raise a doubt towards the quality assurance program of a laboratory. This communication is intended to highlight the potential use of previous reports of indoor patient in an indoor hospital laboratory as a tool for quality assurance. In this study approximately 10% of the doubtful reports were picked up randomly and the results were compared with the earlier reports of the patient retrieved from database. The study revealed that there was a significant reduction of more than 80% in the test repeats resulting in decrease in expenses on repeat tests (80%).There was a significant average reduction of time and human resource investment, decrease in the instrument working hours and increased workflow efficiency due to reduction in the test repeats. Moreover there was an increase in the confidence level of consultant towards quality control program and authenticity of the reports.

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