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Clinical Chemistry 52: 1442-1443, 2006; 10.1373/clinchem.2006.069534
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(Clinical Chemistry. 2006;52:1442-1443.)
© 2006 American Association for Clinical Chemistry, Inc.


Letters to the Editor

Preanalytic Error Tracking in a Laboratory Medicine Department: Results of a 1-Year Experience

Giuseppe Lippia, Antonella Bassi, Giorgio Brocco, Martina Montagnana, Gian Luca Salvagno and Gian Cesare Guidi

Istituto di Chimica e, Microscopia Clinica, Dipartimento di Scienze, Morfologico-Biomediche, Università degli Studi di Verona, Verona, Italy

aAddress correspondence to this author at: Istituto di Chimica e Microscopia Clinica, Dipartimento di Scienze Morfologico-Biomediche, Università degli Studi di Verona, Ospedale Policlinico G.B. Rossi, Piazzale Scuro, 10, 37134 Verona, Italy. Fax 0039-045-8201889; e-mail ulippi{at}tin.it.


To the Editor:

Remarkable advances in technology, automation, and testing procedures have produced radical changes in laboratory organization, granting major precision and accuracy of test results. Nevertheless, errors occurring within the whole testing process still influence the quality of laboratory performance. There is heterogeneous information on the error rate within the whole laboratory testing process (from 0.1% to 9.3%) (1). Moreover, the frequencies and types of mistakes differ between one facility and another and between one time period and another (2). Process analysis has demonstrated that laboratory errors occur primarily in the preanalytic phase, influencing patient outcomes and costs (1)(2)(3). Compliance with systems of quality management, such as certification and accreditation, requires accurate procedures for identifying the processes that are more susceptible to errors (4).

The Laboratory Medicine Department of the University Hospital of Verona is a laboratory service providing stat and routine tests for clinical chemistry, hematology, coagulation, and immunology, serving an area with a population of 270 000 inhabitants. The laboratory serves a hospital with 750 beds and specialized care units. Inpatient phlebotomies are performed by clinical department staff, whereas blood specimens from outpatients are collected on site by laboratory personnel. After implementation of the new ISO accreditation guidelines, since October 2004 the laboratory staff has been trained to identify and systematically record each error encountered within the global testing process, particularly preanalytic mistakes. Venous blood samples for routine clinical chemistry (lithium heparin gel tubes), hematologic (EDTA tubes), coagulation (buffered sodium citrate tubes), electrophoresis, specific protein, and immunology testing (serum gel tubes) were considered unsuitable according to the following accepted criteria (5)(6): inappropriate volume (excess or deficit in the volume required to perform the analysis), wrong or missing patient identification, inappropriate container, visible hemolysis after centrifugation, clotting, and contamination from infusion route. The laboratory staff was provided with a notebook in which numbers of tubes and errors were recorded daily, and the quality referent of our laboratory systematically discussed and reviewed data on a weekly basis.

From October 2004 to September 2005, a total of 423 075 routine venous blood specimens (71 922 from outpatients; 17%) were received in the 5 more representative sections of our laboratory (130 806 for clinical chemistry testing, 113 699 for hematologic testing, 61 301 for coagulation testing, 59 403 for electrophoresis and specific protein testing, and 57 866 for immunology testing). According to the above specified criteria, 3154 (0.74%) preanalytic errors were identified and recorded in the 1-year observational period (Table 1 ). Errors were related to samples in which they were relevant. In agreement with earlier data (1)(7), we observed a significant difference in the error rate between inpatients and outpatients (0.82% vs 0.37%; {chi}2 test, P <0.001). The most common mistakes could be traced to incorrect procedures for sample collection, including hemolysis and clotting. The prevalences of other types of errors were rather different between specimens collected from inpatients and outpatients. In particular, insufficient volume was a prevailing cause of unsuitable specimens for inpatient samples, whereas the prevalence of inappropriate containers was particularly high for outpatient specimens.


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Table 1. Preanalytic error tracking, based on specimen acceptability, over a 1-year observational period in the 5 most representative sections of a laboratory medicine department.1

Current data on laboratory error rates are mixed (1). In a survey on outpatient phlebotomy success, most unsuitable samples resulted from hemolysis (18.1%), insufficient quantity (16.0%), and clotting (13.4%) (5). These data are comparable to those provided by additional investigations, which confirm that problems directly related to specimen collection are the first causes of preanalytic errors, especially hemolyzed, clotted, insufficient, and incorrect samples (1)(7)(8)(9). This investigation represents a logical extension of previous analyses focused on laboratory errors identified after collection of clinically questionable results in stat departments for a shorter period of time (2)(8) or involving limited areas of laboratory testing, such as clinical chemistry (7) and hematology(9). Additionally, we included a systematic approach for error identification, extending the analysis to either inpatient or outpatient specimens for routine laboratory testing. Results were finally related to the total number of specimens received, rather than to the tests ordered. Nevertheless, the substantial difficulty in linking preanalytic quality improvements to patient outcome might be a drawback of this investigation (4)(10).

The magnitude of medical errors requires the introduction of comprehensive reporting systems, encompassing mistakes that fall within the whole diagnostic process (11). Although error tracking within laboratory practice appears crucial, a list of preanalytic performance indicators has not been universally defined (4). A suitable approach is to develop a system based on representative preanalytic performance measures and on criteria for specimen acceptability (6). In our experience, implementation of a systematic error-tracking system in daily practice has provided meaningful information on the local preanalytic processes more susceptible to errors, providing an ideal foundation for efficient feedback and enabling evaluation of specific responsibilities.


References

  1. Bonini PA, Plebani M, Ceriotti F, Francesca Rubboli F. Errors in laboratory medicine. Clin Chem 2002;48:691-698.[Abstract/Free Full Text]
  2. Plebani M, Carraro P. Mistakes in a stat laboratory: types and frequency. Clin Chem 1997;43:1348-1351.[Abstract/Free Full Text]
  3. Lippi G, Guidi GC, Mattiuzzi C, Plebani M. Preanalytical variability: the dark side of the moon in laboratory testing. Clin Chem Lab Med 2006;44:358-365.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  4. Plebani M. Appropriateness in programs for continuous quality improvement in clinical laboratories. Clin Chim Acta 2003;333:131-139.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  5. Dale JC, Novis DA. Outpatient phlebotomy success and reasons for specimen rejection. Arch Pathol Lab Med 2002;126:416-419.[Medline] [Order article via Infotrieve]
  6. Ricos C, Garcia-Victoria M, de la Fuente B. Quality indicators and specifications for the extra-analytical phases in clinical laboratory management. Clin Chem Lab Med 2004;42:578-582.[Medline] [Order article via Infotrieve]
  7. Jones BA, Calam RR, Howanitz PJ. Chemistry specimen acceptability: a College of American Pathologists Q-Probes study of 453 laboratories. Arch Pathol Lab Med 1997;121:19-26.[ISI][Medline] [Order article via Infotrieve]
  8. Romero A, Munoz M, Ramos JR, Campos A, Ramirez G. Identification of preanalytical mistakes in the stat section of the clinical laboratory. Clin Chem Lab Med 2005;43:974-975.[Medline] [Order article via Infotrieve]
  9. Jones BA, Meier F, Howanitz PJ. Complete blood count specimen acceptability: a College of American Pathologists Q-Probes study of 703 laboratories. Arch Pathol Lab Med 1995;119:203-208.[Medline] [Order article via Infotrieve]
  10. Plebani M. Towards quality specifications in extra-analytical phases of laboratory activity. Clin Chem Lab Med 2004;42:576-577.[Medline] [Order article via Infotrieve]
  11. Wood KE, Nash DB. Mandatory state-based error-reporting systems: current and future prospects. Am J Med Qual 2005;20:297-303.[Abstract/Free Full Text]



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