Patient-Based Real-Time Quality Control: Review and Recommendations.
For many years the concept of patient-based quality control (QC) has been discussed and implemented in hematology laboratories; however, the techniques have not been widely implemented in clinical chemistry. This is mainly because of the complexity of this form of QC, as it needs to be optimized for...
| Publicado en: | Clinical Chemistry Vol. 65; no. 8; pp. 962 - 972 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=145683874&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145683874 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00099147 10CS jtl: Clinical Chemistry issn: 00099147 maglogo: N pubinfo: dt: Aug2019 vid: 65 iid: 8 pid: 622 pub: Oxford University Press / USA artinfo: ui: 145683874 10.1373/clinchem.2019.305482 145683874 ppf: 962 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Patient-Based Real-Time Quality Control: Review and Recommendations. aug: au: Badrick, Tony Bietenbeck, Andreas Cervinski, Mark A. Katayev, Alex van Rossum, Huub H. Loh, Tze Ping affil: RCPA Quality Assurance Programs, St. Leonards, Sydney, Australia. sug: ab: For many years the concept of patient-based quality control (QC) has been discussed and implemented in hematology laboratories; however, the techniques have not been widely implemented in clinical chemistry. This is mainly because of the complexity of this form of QC, as it needs to be optimized for each population and often for each analyte. However, the clear advantages of this form of QC, together with the ongoing realization of the shortcomings of “conventional” QC, have driven a need to provide guidance to laboratories to assist in deploying patient-based QC. This overview describes the components of a patient-based QC system (calculation algorithm, block size, truncation limits, control limits) and the relationship of these to the analyte being controlled. We also discuss the need for patient-based QC system optimization using patient data from the individual testing laboratory to reliably detect systematic errors while ensuring that there are few false alarms. The term patient-based real-time quality control covers many activities that use data from patient samples to detect analytical errors. These activities include the monitoring of patient population parameters such as the mean or median analyte value or using single within-patient changes such as the delta check. In this report, we will restrict the discussion to population-based parameters. This overview is intended to serve as a guide for the implementation of a patient-based QC system. The report does not cover the clinical evaluation of the population. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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