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Editor-in-chief
Maria Stella Graziani

Deputy Director
Martina Zaninotto

Associate Editors
Ferruccio Ceriotti
Davide Giavarina
Bruna Lo Sasso
Giampaolo Merlini
Martina Montagnana
Andrea Mosca
Paola Pezzati
Rossella Tomaiuolo
Matteo Vidali

EIC Assistant
Francesco Busardò

International Advisory Board Khosrow Adeli Canada
Sergio Bernardini Italy
Marcello Ciaccio Italy
Eleftherios Diamandis Canada
Philippe Gillery France
Kjell Grankvist Sweden
Hans Jacobs The Netherlands
Eric Kilpatrick UK
Magdalena Krintus Poland
Giuseppe Lippi Italy
Mario Plebani Italy
Sverre Sandberg Norway
Ana-Maria Simundic Croatia
Tommaso Trenti Italy
Cas Weykamp The Netherlands
Maria Willrich USA
Paul Yip Canada


Publisher
Biomedia srl
Via L. Temolo 4, 20126 Milano

Responsible Editor
Giuseppe Agosta

Editorial Secretary
Chiara Riva
Biomedia srl
Via L. Temolo 4, 20126 Milano
Tel. 0245498282
email: biochimica.clinica@sibioc.it

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ISSN print: 0393 – 0564
ISSN digital: 0392- 7091



BC: Articoli scritti da A. Bassi

Errori di identificazione del paziente: un progetto SIBioC orientato alla gestione di un problema persistente
Wrong blood in tube: a SIBioC project for a persistent problem
A. Aita  |  A. Padoan  |  R. Guerranti  |  M. Fiorini  |  C. Bellini  |  F. Tosato  |  M. Pelloso  |  E. Piva  |  R. Pajola  |  M. Lorubbio  |  B. Cremonesi  |  A. Bassi  |  R. Rolla  |  G. Introcaso  |  M. Plebani  |  S. Buoro  |  F. Balboni  | 
<p>Introduction: recently, multi-analytes delta-check (MDC) has been proposed as a more effective tool in identification errors (IE) prevention. In this context, &ldquo;Haematology&rdquo; and &ldquo;Clinical Risk&rdquo; SIBioC working groups launched a project aiming to develop a cell blood count (CBC) MDC. This work is aimed to describe the project and some preliminary results.<br />Methods: the project consists of four phases: collection of CBC results from 15 Italian laboratories to create an original dataset (OD); pilot study on a smaller dataset (SD) i.e., creation of an artificial mix-up dataset-MD containing IE by casual resampling of the SD and identification of the best statistical model to create a MDC; identification of the most accurate MDC on OD; testing the MDC in involved labs and verification of its effectiveness.<br />Results: the SD included 2,367 pair of consecutive results for the same patient (patients&rsquo; age: 0-100 years; the majority of repetitions were within days). The SD casual resampling generated a MD with 2,000 pair of patient-mixed consecutive results. When one of the most frequent used delta-check alert (&Delta;MCV=7fL) was applied to detect IE in MD, the method accuracy was low (AUC=0.542). On the contrary, testing of a multivariate model, obtained by a stepwise logistic analysis, allowed to obtain a more accurate MDC in IE detection (AUC=0.931, sensitivity=91.6%, specificity=94%).<br />Conclusions: MDC may offer a practical strategy to identify IE prior to test reporting, improving patient safety. However a good planning of project workflow, selection of methodology, tools and staff competence are key elements to reach the objectives.</p>
Biochimica Clinica ; 46(1) 051-057
Contributi Scientifici - Scientific Papers
 
Sicurezza del paziente e rischio clinico nel processo ematologico di laboratorio
Patient safety and clinical risk in the clinical laboratory haematological process
<p>&nbsp;Patient safety, defined as the prevention of harm to patients, is the ultimate goal for medical laboratories. Risk management principles should therefore be considered an integral part of laboratory processes, especially of those activities directly impacting on patient care. This work aims to identify the most critical phases of haematological process and the risk reduction actions that improve patient safety. Risk analysis of the laboratory haematological process was carried out through Failure Mode, Effects and Analysis Criticality methodology. A form including the phases of the process, error modes and their possible effects, errors occurrence, detectability and severity scores and risk index (RI), has been prepared and sent to eight Italian laboratories. A multidisciplinary team performed the analysis in each laboratory, then two team leaders of the project comprehensively analysed the collected data. The process was divided in 8 phases (medical prescription, request acceptance, sample collection, transportation, reception and processing, results reporting and validation), 25 activities (17 pre-analytical, 4 intra-analytical, 4 post-analytical) and 43 failure modes. RI, calculated for each activity, ranged from 11 to 33. The most critical topics (RI &gt;25) were: patient identification, peripheral blood smear review, interpretative comments and report validation. Staff training plays a central role in the entire laboratory haematological process and in the phases identified as critical. An effective management related to the attainment and maintenance of skills represents the best action in order to reduce risks of adverse events for patients. The promotion of procedures aimed to harmonize the interpretative comments and peripheral blood smear review is also pivotal</p><p>&nbsp;</p>
Biochimica Clinica ; 42(4) 300-312
Contributi Scientifici - Scientific Paper