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Point of care testing, otherwise referred to as near patient, bedside, or extra laboratory testing, is not new. Many of the early “diagnostic tests” were first done at the bedside—for example, urine testing. Over the past few years, however, analytical systems have been developed that enable a wide range of tests to be done quickly and simply without the need for sophisticated laboratory equipment.1 The key objective of point of care testing is to generate a result quickly so that appropriate treatment can be implemented, leading to an improved clinical or economic outcome (figure). This article sets out the requirements for delivering an effective point of care testing service and reviews the evidence of the clinical and economic effectiveness of point of care testing. #### Summary points Point of care testing requires trained operators to ensure a good quality service Testing is effective only if action taken on the result Testing has been shown to reduce hospital stay, improve adherence to treatment, and reduce complications Although point of care testing is more expensive than laboratory testing, it produces wider economic benefits I searched the literature with Medline and Embase using the key phrases “point of care testing,” “bedside testing,” “near patient testing,” and “extra laboratory testing.” I also hand searched relevant laboratory medicine and disease related journals (such as those on diabetes) and health technology assessment reports. Two broad types of technology support point of care testing: small bench top analysers (for example, blood gas and electrolyte systems) and hand held, single use devices (such as urine albumin, blood glucose, and coagulation tests). The bench top systems are smaller versions of laboratory analysers in which vulnerable operator dependent steps have been automated—for example, automatic flushing of sample after analysis, calibration, and quality control. Hand held devices have been developed using microfabrication techniques. …
Time Factors, Diagnostic Tests, Routine, Blood Glucose Self-Monitoring, Cost-Benefit Analysis, Point-of-Care Systems, Helicobacter Infections, Treatment Outcome, Urinary Tract Infections, Humans, Emergencies
Time Factors, Diagnostic Tests, Routine, Blood Glucose Self-Monitoring, Cost-Benefit Analysis, Point-of-Care Systems, Helicobacter Infections, Treatment Outcome, Urinary Tract Infections, Humans, Emergencies
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 322 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |