Literature DB >> 17076528

Patient safety in the clinical laboratory: a longitudinal analysis of specimen identification errors.

Elizabeth A Wagar1, Lorraine Tamashiro, Bushra Yasin, Lee Hilborne, David A Bruckner.   

Abstract

CONTEXT: Patient safety is an increasingly visible and important mission for clinical laboratories. Attention to improving processes related to patient identification and specimen labeling is being paid by accreditation and regulatory organizations because errors in these areas that jeopardize patient safety are common and avoidable through improvement in the total testing process.
OBJECTIVE: To assess patient identification and specimen labeling improvement after multiple implementation projects using longitudinal statistical tools.
DESIGN: Specimen errors were categorized by a multidisciplinary health care team. Patient identification errors were grouped into 3 categories: (1) specimen/requisition mismatch, (2) unlabeled specimens, and (3) mislabeled specimens. Specimens with these types of identification errors were compared preimplementation and postimplementation for 3 patient safety projects: (1) reorganization of phlebotomy (4 months); (2) introduction of an electronic event reporting system (10 months); and (3) activation of an automated processing system (14 months) for a 24-month period, using trend analysis and Student t test statistics.
RESULTS: Of 16,632 total specimen errors, mislabeled specimens, requisition mismatches, and unlabeled specimens represented 1.0%, 6.3%, and 4.6% of errors, respectively. Student t test showed a significant decrease in the most serious error, mislabeled specimens (P < .001) when compared to before implementation of the 3 patient safety projects. Trend analysis demonstrated decreases in all 3 error types for 26 months.
CONCLUSIONS: Applying performance-improvement strategies that focus longitudinally on specimen labeling errors can significantly reduce errors, therefore improving patient safety. This is an important area in which laboratory professionals, working in interdisciplinary teams, can improve safety and outcomes of care.

Entities:  

Mesh:

Year:  2006        PMID: 17076528     DOI: 10.5858/2006-130-1662-PSITCL

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  11 in total

Review 1.  Effectiveness of barcoding for reducing patient specimen and laboratory testing identification errors: a Laboratory Medicine Best Practices systematic review and meta-analysis.

Authors:  Susan R Snyder; Alessandra M Favoretto; James H Derzon; Robert H Christenson; Stephen E Kahn; Colleen S Shaw; Rich Ann Baetz; Diana Mass; Corinne R Fantz; Stephen S Raab; Milenko J Tanasijevic; Edward B Liebow
Journal:  Clin Biochem       Date:  2012-06-28       Impact factor: 3.281

2.  Continuing Patient Care during Electronic Health Record Downtime.

Authors:  Ethan Larsen; Daniel Hoffman; Carlos Rivera; Brian M Kleiner; Christian Wernz; Raj M Ratwani
Journal:  Appl Clin Inform       Date:  2019-07-10       Impact factor: 2.342

3.  Quantitative assessment of prevalence of pre-analytical variables and their effect on coagulation assay. Can intervention improve patient safety?

Authors:  Ravi Bhushan; Arijit Sen
Journal:  Med J Armed Forces India       Date:  2017-01-05

4.  Specimen Identification Errors in Breast Biopsies: Age Matters. Report of Two Near-Miss Events and Review of the Literature.

Authors:  Gary Tozbikian; Mary L Gemignani; Edi Brogi
Journal:  Breast J       Date:  2017-03-16       Impact factor: 2.431

5.  Detecting 'wrong blood in tube' errors: Evaluation of a Bayesian network approach.

Authors:  Jason N Doctor; Greg Strylewicz
Journal:  Artif Intell Med       Date:  2010-06-20       Impact factor: 5.326

6.  Effectiveness of Laboratory Practices to Reducing Patient Misidentification Due to Specimen Labeling Errors at the Time of Specimen Collection in Healthcare Settings: LMBP™ Systematic Review.

Authors:  Paramjit Sandhu; Kakali Bandyopadhyay; Dennis J Ernst; William Hunt; Thomas H Taylor; Rebecca Birch; John Krolak; Sharon Geaghan
Journal:  J Appl Lab Med       Date:  2017-09

7.  How useful are delta checks in the 21 century? A stochastic-dynamic model of specimen mix-up and detection.

Authors:  Katie Ovens; Christopher Naugler
Journal:  J Pathol Inform       Date:  2012-02-29

8.  Pre-analytical errors management in the clinical laboratory: a five-year study.

Authors:  Angeles Giménez-Marín; Francisco Rivas-Ruiz; Maria Del Mar Pérez-Hidalgo; Pedro Molina-Mendoza
Journal:  Biochem Med (Zagreb)       Date:  2014-06-15       Impact factor: 2.313

Review 9.  Harmonization of pre-analytical quality indicators.

Authors:  Mario Plebani; Laura Sciacovelli; Ada Aita; Maria Laura Chiozza
Journal:  Biochem Med (Zagreb)       Date:  2014-02-15       Impact factor: 2.313

10.  Reduction in Hospital-Wide Clinical Laboratory Specimen Identification Errors following Process Interventions: A 10-Year Retrospective Observational Study.

Authors:  Hsiao-Chen Ning; Chia-Ni Lin; Daniel Tsun-Yee Chiu; Yung-Ta Chang; Chiao-Ni Wen; Shu-Yu Peng; Tsung-Lan Chu; Hsin-Ming Yu; Tsu-Lan Wu
Journal:  PLoS One       Date:  2016-08-05       Impact factor: 3.240

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