Effectiveness of Barcoding for Reducing Patient Specimen and Laboratory Testing Identification Errors: A Laboratory Medicine Best Practices Systematic Review and Meta-Analysis
Supporting Files
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9 2012 ; 9-2012
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Available in CDC Stacks on 2015-07-29T00:00:00Z
File Language:
English
Details
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Alternative Title:Clin Biochem
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Personal Author:Snyder, Susan R. ; Favoretto, Alessandra M. ; Derzon, James H. ; Christenson, Robert ; Kahn, Stephen ; Shaw, Colleen ; Baetz, Rich Ann ; Mass, Diana ; Fantz, Corrine ; Raab, Stephen ; Tanasijevic, Milenko ; Liebow, Edward B.
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Description:Objectives ; This is the first systematic review of the effectiveness of barcoding practices for reducing patient specimen and laboratory testing identification errors. ; Design and Methods ; The CDC-funded Laboratory Medicine Best Practices Initiative systematic review methods for quality improvement practices were used. ; Results ; A total of 17 observational studies reporting on barcoding systems are included in the body of evidence; 10 for patient specimens and 7 for point-of-care testing. All 17 studies favored barcoding, with meta-analysis mean odds ratios for barcoding systems of 4.39 (95% CI: 3.05 – 6.32) and for point-of-care testing of 5.93 (95% CI: 5.28 – 6.67). ; Conclusions ; Barcoding is effective for reducing patient specimen and laboratory testing identification errors in diverse hospital settings and is recommended as an evidence-based “best practice.” The overall strength of evidence rating is high and the effect size rating is substantial. Unpublished studies made an important contribution comprising almost half of the body of evidence.
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Keywords:
- Barcoding
- Comparative Effectiveness Research
- Healthcare Quality Improvement
- Laboratory Medicine
- Laboratory Testing Errors
- Patient Identification Systems
- Patient Safety
- Patient Specimen Identification
- Specimen Labeling Errors
- Centers for Disease Control and Prevention, U.S.
- Clinical Laboratory Techniques
- Databases, Factual
- Diagnostic Errors
- Electronic Data Processing
- Evidence-Based Practice
- Humans
- Odds Ratio
- Practice Guidelines as Topic
- Program Evaluation
- Quality Assurance, Health Care
- United States
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Source:Clin Biochem. 45(0):988-998
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Pubmed ID:22750145
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Pubmed Central ID:PMC4518452
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Document Type:
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Funding:
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Volume:45
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Issue:0
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File Type:
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Collection(s):
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Main Document Checksum:urn:sha256:7c6d7f16adc2e4400a86eea0d9f9804233dbad4f2a3460a199b18a397e405161
Supporting Files
File Language:
English
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