Journal of Laboratory Physicians
Home About us Ahead of print Current issue Back issues Subscribe Instructions Contact Login 
Wide layoutNarrow layoutPrint this page  Email this page Bookmark this page Small font size Default font size Increase font size 
Year : 2019  |  Volume : 11  |  Issue : 3  |  Page : 229-233

Reduction in sample rejections at the preanalytical phase – Impact of training in a tertiary care oncology center

1 Composite Laboratory, ACTREC-Tata Memorial Centre, Navi Mumbai, Maharashtra, India
2 Department of Microbiology, ACTREC-Tata Memorial Centre, Navi Mumbai, Maharashtra, India
3 Department of Quality Management, ACTREC-Tata Memorial Centre, Navi Mumbai, Maharashtra, India

Correspondence Address:
Dr. Vivek G Bhat
Department of Microbiology, ACTREC-Tata Memorial Centre, Sector 22, Kharghar, Navi Mumbai - 410 210, Maharashtra
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/JLP.JLP_4_19

Rights and Permissions

CONTEXT: Major clinical decisions are based on the laboratory test results where preanalytical errors are an important cause of repeat collections in patients. Identification of problem areas and continuous training of phlebotomy staff are important tools in reducing these errors. AIMS: In this study, we looked at the most common causes of sample rejection in our setting and the efficacy of the corrective measures and training processes for staff in reducing preanalytical errors. SETTINGS AND DESIGNS: This prospective study was conducted at the laboratory diagnostic services of a tertiary care oncology center, with a hematopoietic stem cell transplant unit during the period of 2012–2017 in two phases. Sample rejections from various wards were analyzed for types of rejections. MATERIALS AND METHODS: In the first phase, we analyzed the problem areas (year 2012). Following a root cause analysis, current practices of training were altered. In the second phase (2013–2017), we studied the effects of these measures. STATISTICAL ANALYSIS USED: The percent variation and P value for significance in sample rejections were calculated. RESULTS: During the year 2012, 0.36% samples were rejected by laboratory. Following interventions in the period from 2013 to 2017, samples rejected dropped to 0.19% (P < 0.0001), 0.09% (P < 0.0001), 0.09% (P = 0.8387), 0.05% (P = 0.0004), and 0.05% (P = 0.329), respectively. The reduction was significant from surgical oncology ward (P = 0.0107) and intensive care unit (P = 0.0007). From 2013 to 2017, errors significantly reduced to 0.015% for hemolyzed samples (P = 0.0001), 0.005% for contaminated samples, 0.036% for clotted samples, and 0.019% for labeling errors. CONCLUSION: Intervention in the form of targeted training helps reduce errors and improves the quality of results generated and contributes to better clinical outcomes.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded38    
    Comments [Add]    

Recommend this journal