Table of Contents
What are pre-analytical variables?
Pre-analytical variables refers to any and all procedures that occur during sample collection, prior to sample analysis. This involves patient identification, physical sample collection, sample transportation to the testing site and sample preparation.
What are key performance indicators in laboratory?
Laboratory Key Performance Indicators (KPIs) are measures of the performance of the laboratory and its activities, such as projects, processes, products, or services. KPIs in laboratories are also used to track the performance of the inventory, devices, environment, data, and results.
What are pre-analytical errors in the laboratory?
The preanalytical errors refer to all of the inappropriate performances before the specimens are measured by analyzers, such as improper sample collection, transport delays, illegible handwriting on requisition, and so on.
What is the preanalytical phase of laboratory procedures?
Preanalytical phase comprises of test selection, patient identification, collection of the sample, handling of the sample, sorting out, pipetting and centrifugation (2, 3). Negligence in any of these steps can lead to erroneous results attributed to preanalytical phase.
What are preanalytical and post analytical factors?
The two areas of highest priority are patient/sample identification (pre-analytical quality) and the handling of critical results (post-analytical quality).
What are the main pre-analytical variables which can affect this method?
Preanalytical factors that can affect results include: sample type, sampling time, sample handling, patient’s preparation and the nutritional status of the patient.
Why are indicators needed in laboratory?
Quality indicators allow laboratories to quantify the quality of laboratory processes, which is fundamental to patient safety. Harmonization of quality indicators is necessary to ensure that all clinical laboratories define, report and benchmark according to defined quality standards.
How is laboratory productivity measured?
Laboratory Productivity Formula To calculate the laboratory productivity, divide the number of tests performed by the number of labor hours.
What are pre-analytical variables and what is the phlebotomists responsibility for them?
What are preanalytical variables, and what is the phlebotomist’s responsibility for them? Variables that occur before performing analysis of the specimen. Phlebotomists are most responsible for controlling preanalytic variables, such as ensuring that the equipment they use is free of defects.
Which is an example of a preanalytical variable that affects specimen quality?
Under the broad umbrella of the preanalytical phase can be included specimen collection, handling and processing variables, physiological variables such as the effect of lifestyle, age, gender, pregnancy and menstruation and endogenous variables such as drugs and circulating antibodies.
What does preanalytical mean?
preanalytical (not comparable) Describing any procedure that takes place before an analysis. Describing any variable whose value can affect the outcome of a subsequent analysis.
What pre-analytical technical variables can affect the concentration of analytes measured in the laboratory?
The most common of these factors are diet, starvation, exercise, posture, daily and seasonal variations, menstrual cycle and pregnancy.
What is the most common laboratory error in pre-analytical process?
The most commonly reported types of pre-analytical error are: a) missing sample and/or test request, b) wrong or missing identification, c) contamination from infusion route, d) haemolysed, clotted, and insufficient samples, e) inappropriate containers, f) inappropriate blood to anticoagulant ratio, and g) …
What are the characteristics of indicators?
Characteristics of good indicators
- Valid: accurate measure of a behaviour, practice, task that is the expected output or outcome of the intervention.
- Reliable: consistently measurable over time, in the same way by different observers.
- Precise: operationally defined in clear terms.
What are quality indicators Name three quality indicators?
The quality indicators were classified into the following 3 categories: preanalytical, analytical, and post-analytical.
What is laboratory productivity?
One useful indicator of laboratory performance is productivity measured as labor minutes per test (in this case, labor refers to personnel that perform specimen processing and direct testing and excludes management and administrative personnel) by department.
What is laboratory experiment?
Laboratory experiments are a research method by which researchers create controllable environments to test hypotheses. Laboratories used for academic research are rooms or specifically designed spaces within buildings typically located on college and university campuses.
What are pre-analytical variables discuss it with an example?
What are the main pre analytical variables which can affect this method?
What are the pre analytical variables to consider before performing gross examination?
What variables can be controlled in a preanalytical study?
Some of the preanalytical variables such as specimen variables can be controlled, while a knowledge of uncontrollable variables need to be well understood in order to be able to separate their effects from disease related changes affecting laboratory results.
Does pre-analytical variability affect MRM-MS-based plasma protein biomarkers?
The effect of pre-analytical variability on the measurement of MRM-MS-based mid- to high-abundance plasma protein biomarkers and a panel of cytokines. PLoS One. 2012;7(6):e38290.
What are the different types of pre-analytical variability?
Only by monitoring the performance of the TTP can labs reliably identify and manage these potential variations. There are four general categories of pre-analytical variability, including: test ordering, patient preparation, specimen collection, and specimen processing, transportation, and storage (5).
How does biospecimen preanalytical variability affect clinical medicine?
Biospecimen preanalytical variability also affects clinical medicine; Lippi et.al. estimates that up to 93% of diagnostic errors are attributable to a lack of standardized biospecimen collection and handling procedures [ 156 ].
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