Abstract
Background
Evidence-based evaluation of laboratory performances including pre-analytical, analytical and post-analytical stages of the total testing process (TTP) is crucial to ensure patients receiving safe, efficient and effective care. To conduct risk assessment, quality management tools such as Failure Mode and Effect Analysis (FMEA) and the Failure Reporting and Corrective Action System (FRACAS) were constantly used for proactive or reactive analysis, respectively. However, FMEA and FRACAS faced big challenges in determining the scoring scales and failure prioritization in the assessment of real-world cases. Here, we developed a novel strategy, by incorporating Sigma metrics into risk assessment based on quality indicators (QIs) data, to provide a more objective assessment of risks in TTP.
Methods
QI data was collected for 1 year and FRACAS was applied to produce the risk rating based on three variables: (1) Sigma metrics for the frequency of defects; (2) possible consequence; (3) detection method. The risk priority number (RPN) of each QI was calculated by a 5-point scale score, where a value of RPN > 50 was rated as high-risk.
Results
The RPNs of two QIs in post-analytical phase (TAT of Stat biochemistry analyte and Timely critical values notification) were above 50 which required rigorous monitoring and corrective actions to eliminate the high risks. Nine QIs (RPNs between 25 and 50) required further investigation and monitoring. After 3 months of corrective action the two identified high-risk processes were successfully reduced.
Conclusions
The strategy can be implemented to reduce identified risk and assuring patient safety.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: Thanks to Bin Shen, Zhisheng Tan and Yuefeng Zhou of BD China for their professional support in the pre-analysis QIs analysis and risk assessment.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
References
1. ISO 15189:2012. Medical laboratories – requirements for quality and competence. Geneva, Switzerland: International Organization for Standardization, 2012.Search in Google Scholar
2. Plebani M, Sciacovelli L, Aita A. Quality indicators for the total testing process. Clin Lab Med 2017;37:187–205.10.1016/j.cll.2016.09.015Search in Google Scholar PubMed
3. Sciacovelli L, Aita A, Padoan A, Pelloso M, Antonelli G, Piva E, et al. Performance criteria and quality indicators for the post-analytical phase. Clin Chem Lab Med 2016;54:1169–76.10.1515/cclm-2015-0897Search in Google Scholar PubMed
4. Howanitz PJ, Perrotta PL, Bashleben CP, Meier FA, Ramsey GE, Massie LW, et al. Twenty-five years of accomplishments of the College of American Pathologists Q-probes program for clinical pathology. Arch Pathol Lab Med 2014;138:1141–9.10.5858/arpa.2014-0150-OASearch in Google Scholar PubMed
5. Nakhleh RE, Souers RJ, Bashleben CP, Talbert ML, Karcher DS, Meier FA, et al. Fifteen years’ experience of a College of American Pathologists program for continuous monitoring and improvement. Arch Pathol Lab Med 2014;138:1150–5.10.5858/arpa.2014-0148-OASearch in Google Scholar PubMed
6. Plebani M, Sciacovelli L, Marinova M, Marcuccitti J, Chiozza ML. Quality indicators in laboratory medicine: a fundamental tool for quality and patient safety. Clin Biochem 2013;46:1170–4.10.1016/j.clinbiochem.2012.11.028Search in Google Scholar PubMed
7. Plebani M. Performance specifications for the extra-analytical phases of laboratory testing: why and how. Clin Biochem 2017;50:550–4.10.1016/j.clinbiochem.2017.02.002Search in Google Scholar PubMed
8. Sciacovelli L, Panteghini M, Lippi G, Sumarac Z, Cadamuro J, De Olivera Galoro CA, et al. Defining a roadmap for harmonizing quality indicators in Laboratory Medicine: a consensus statementon behalf of the IFCC Working Group “Laboratory Error and Patient Safety” and EFLM Task and Finish Group “Performance specifications for the extra-analytical phases”. Clin Chem Lab Med 2017;55:1478–88.10.1515/cclm-2017-0412Search in Google Scholar PubMed
9. Badrick T, Gay S, Mackay M, Sikaris K. The key incident monitoring and management system – history and role in quality improvement. Clin Chem Lab Med 2018;56:264–72.10.1515/cclm-2017-0219Search in Google Scholar PubMed
10. Duan M, Ma X, Fan J, Guo Y, Wang W, Zhao H, et al. National surveys on 15 quality indicators for the total testing process in clinical laboratories of China from 2015 to 2017. Clin Chem Lab Med 2018;57:195–203.10.1515/cclm-2018-0416Search in Google Scholar PubMed
11. Duan M, Kang F, Zhao H, Wang W, Du Y, He F, et al. Analysis and evaluation of the external quality assessment results of quality indicators in laboratory medicine all over China from 2015 to 2018. Clin Chem Lab Med 2019;57:812–21.10.1515/cclm-2018-0983Search in Google Scholar PubMed
12. Chiozza ML, Ponzetti C. FMEA: a model for reducing medical errors. Clin Chim Acta 2009;404:75–8.10.1016/j.cca.2009.03.015Search in Google Scholar PubMed
13. CLSI document EP18-A2. Risk management techniques to identify and control laboratory error sources; approved guideline, 2nd ed. Wayne, PA: Clinical and Laboratory Standards Institute, 2009.Search in Google Scholar
14. McElroy LM, Khorzad R, Nannicelli AP, Brown AR, Ladner DP, Holl JL. Failure mode and effects analysis: a comparison of two common risk prioritisation methods. BMJ Qual Saf 2016;25:329–36.10.1136/bmjqs-2015-004130Search in Google Scholar PubMed
15. Liu HC, Liu L, Liu N. Risk evaluation approaches in failure mode and effects analysis: a literature review. Expert Syst Appl 2013;40:828–38.10.1016/j.eswa.2012.08.010Search in Google Scholar
16. Meier FA, Badrick TC, Sikaris KA. What’s to be done about laboratory quality? Process indicators, laboratory stewardship, the outcomes problem, risk assessment, and economic value: responding to contemporary global challenges. Am J Clin Pathol 2018;149:186–96.10.1093/ajcp/aqx135Search in Google Scholar PubMed
17. Xia Y, Xue H, Yan C, Li B, Zhang S, Li M, et al. Risk analysis and assessment based on Sigma metrics and intended use. Biochem Med (Zagreb) 2018;28:020707.10.11613/BM.2018.020707Search in Google Scholar PubMed PubMed Central
18. Westgard S, Bayat H, Westgard JO. Special issue on Six Sigma metrics – experiences and recommendations. Biochem Med (Zagreb) 2018;28:020301.10.11613/BM.2018.020301Search in Google Scholar PubMed PubMed Central
19. National Health and Family Planning Commission. Notification about the publishing of quality control indicators. http://www.nhfpc.gov.cn/zhuz/index.shtml. Accessed:10 Apr 2015.Search in Google Scholar
20. Wang Z, Zeng R, Yang X, Kang F, Zhang J, Yin Z, et al. Quality indicators in clinical laboratories. WS/T 496-2017. http://www.nhc.gov.cn/wjw/s9492/201702/93f8eb60e0f34fc896af74f13ac53562.shtml. Accessed: 15 Jan 2017.Search in Google Scholar
21. Westgard JO. Six sigma quality, design and control. Madison, WI: Westgard QC, 2006.Search in Google Scholar
22. Plebani M, Lippi G. Closing the brain-to-brain loop in laboratory testing. Clin Chem Lab Med 2011;49:1131–3.10.1515/CCLM.2011.617Search in Google Scholar PubMed
23. Meštrić ZF, Perkov S, Radeljak A, Paro MM, Prkačin I, Jeras AD. Risk analysis of the preanalytical process based on quality indicators data. Clin Chem Lab Med 2017;55:368–77.10.1515/cclm-2016-0235Search in Google Scholar
24. Karadağ C, Demirel NN. Continual improvement of the pre-analytical process in a public health laboratory with quality indicators-based risk management. Clin Chem Lab Med 2019;57:1530–8.10.1515/cclm-2019-0019Search in Google Scholar PubMed
25. Chin KS, Wang YM, Poon GK, Yang JB. Failure mode and effects analysis using a group-based evidential reasoning approach. Comput Oper Res 2009;36:1768–79.10.1016/j.cor.2008.05.002Search in Google Scholar
26. Plebani M, Carraro P. Mistakes in a stat laboratory: types and frequency. Clin Chem 1997;43:1348–51.10.1093/clinchem/43.8.1348Search in Google Scholar
27. Carraro P, Plebani M. Errors in a stat laboratory: types and frequencies 10 years later. Clin Chem 2007;53:1338–42.10.1373/clinchem.2007.088344Search in Google Scholar PubMed
28. Bonini P, Plebani M, Ceriotti F, Rubboli F. Errors in laboratory medicine. Clin Chem 2002;48:691–8.10.1093/clinchem/48.5.691Search in Google Scholar
29. Sciacovelli L, Sonntag O, Padoan A, Zambon CF, Carraro P, Plebani M. Monitoring quality indicators in laboratory medicine does not automatically result in quality improvement. Clin Chem Lab Med 2011;50:463–9.10.1515/cclm.2011.809Search in Google Scholar
30. Laposata M, Dighe A. “Pre-Pre” and “post-post” analytical error: high-incidence patient safety hazards involving the clinical laboratory. Clin Chem Lab Med 2007;45:712–9.10.1515/CCLM.2007.173Search in Google Scholar PubMed
31. Leeuwen JF, Nauta MJ, Kaste D, Odekerken-Rombouts YM, Oldenhof MT, Vredenbregt MJ, et al. Risk analysis by FMEA as an element of analytical validation. J Pharm Biomed Anal 2009;50:1085–7.10.1016/j.jpba.2009.06.049Search in Google Scholar PubMed
©2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Quality controls for serology: an unfinished agenda
- A modern and pragmatic definition of Laboratory Medicine
- Reviews
- Blood biochemical characteristics of patients with coronavirus disease 2019 (COVID-19): a systemic review and meta-analysis
- ISO/TS 20914:2019 – a critical commentary
- Mini Review
- Reporting of D-dimer data in COVID-19: some confusion and potential for misinformation
- Opinion Paper
- Implementation of metrological traceability in laboratory medicine: where we are and what is missing
- IFCC Recommendation
- Recommendation for performance verification of patient-based real-time quality control
- Genetics and Molecular Diagnostics
- Comparison of BCR-ABL1 quantification in peripheral blood and bone marrow using an International Scale-standardized assay for assessment of deep molecular response in chronic myeloid leukemia
- General Clinical Chemistry and Laboratory Medicine
- Risk assessment of the total testing process based on quality indicators with the Sigma metrics
- Determination of hemolysis cut-offs for biochemical and immunochemical analytes according to their value
- A computer model for professional competence assessment according to ISO 15189
- Traceability validation of six enzyme measurements on the Abbott Alinity c analytical system
- Evaluating the need for free glycerol blanking for serum triglyceride measurements at Charlotte Maxeke Johannesburg Academic Hospital
- Challenges of LC-MS/MS ethyl glucuronide analysis in abstinence monitoring of liver transplant candidates
- Changes in the result of antinuclear antibody immunofluorescence assay on HEp-2 cells reflect disease activity status in systemic lupus erythematosus
- Reference Values and Biological Variations
- Long-term biological variation estimates of 13 hematological parameters in healthy Chinese subjects
- Age-specific reference values improve the diagnostic performance of AMH in polycystic ovary syndrome
- Establishment of reference intervals for immunoassay analytes of adult population in Saudi Arabia
- Hematology and Coagulation
- Total haemoglobin – a reference measuring system for improvement of standardisation
- Laboratory testing for activated protein C resistance: rivaroxaban induced interference and a comparative evaluation of andexanet alfa and DOAC Stop to neutralise interference
- Cancer Diagnostics
- Identification of a four-gene methylation biomarker panel in high-grade serous ovarian carcinoma
- Performance comparison of two next-generation sequencing panels to detect actionable mutations in cell-free DNA in cancer patients
- Diabetes
- Availability and analytical quality of hemoglobin A1c point-of-care testing in general practitioners’ offices are associated with better glycemic control in type 2 diabetes
- Infectious Diseases
- Validation of a chemiluminescent assay for specific SARS-CoV-2 antibody
- Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019
- Does a change in quality control results influence the sensitivity of an anti-HCV test?
- Letters to the Editor
- Variability between testing methods for SARS-CoV-2 nucleic acid detection 16 days post-discharge: a case report
- L-index, more than a screening tool for hypertriglyceridemia
- Neutralization of biotin interference: preliminary evaluation of the VeraTest Biotin™, VeraPrep Biotin™ and BioT-Filter®
- Counting and reporting band count is unreliable practice due to the high inter-observer variability
- Cigarette smoking prior to blood sampling acutely affects serum levels of the chronic obstructive pulmonary disease biomarker surfactant protein D
- How reliable is the detection of anti-mitochondrial antibodies on murine triple-tissue?
- Further advices on measuring lipoprotein(a) for reducing the residual cardiovascular risk on statin therapy
Articles in the same Issue
- Frontmatter
- Editorial
- Quality controls for serology: an unfinished agenda
- A modern and pragmatic definition of Laboratory Medicine
- Reviews
- Blood biochemical characteristics of patients with coronavirus disease 2019 (COVID-19): a systemic review and meta-analysis
- ISO/TS 20914:2019 – a critical commentary
- Mini Review
- Reporting of D-dimer data in COVID-19: some confusion and potential for misinformation
- Opinion Paper
- Implementation of metrological traceability in laboratory medicine: where we are and what is missing
- IFCC Recommendation
- Recommendation for performance verification of patient-based real-time quality control
- Genetics and Molecular Diagnostics
- Comparison of BCR-ABL1 quantification in peripheral blood and bone marrow using an International Scale-standardized assay for assessment of deep molecular response in chronic myeloid leukemia
- General Clinical Chemistry and Laboratory Medicine
- Risk assessment of the total testing process based on quality indicators with the Sigma metrics
- Determination of hemolysis cut-offs for biochemical and immunochemical analytes according to their value
- A computer model for professional competence assessment according to ISO 15189
- Traceability validation of six enzyme measurements on the Abbott Alinity c analytical system
- Evaluating the need for free glycerol blanking for serum triglyceride measurements at Charlotte Maxeke Johannesburg Academic Hospital
- Challenges of LC-MS/MS ethyl glucuronide analysis in abstinence monitoring of liver transplant candidates
- Changes in the result of antinuclear antibody immunofluorescence assay on HEp-2 cells reflect disease activity status in systemic lupus erythematosus
- Reference Values and Biological Variations
- Long-term biological variation estimates of 13 hematological parameters in healthy Chinese subjects
- Age-specific reference values improve the diagnostic performance of AMH in polycystic ovary syndrome
- Establishment of reference intervals for immunoassay analytes of adult population in Saudi Arabia
- Hematology and Coagulation
- Total haemoglobin – a reference measuring system for improvement of standardisation
- Laboratory testing for activated protein C resistance: rivaroxaban induced interference and a comparative evaluation of andexanet alfa and DOAC Stop to neutralise interference
- Cancer Diagnostics
- Identification of a four-gene methylation biomarker panel in high-grade serous ovarian carcinoma
- Performance comparison of two next-generation sequencing panels to detect actionable mutations in cell-free DNA in cancer patients
- Diabetes
- Availability and analytical quality of hemoglobin A1c point-of-care testing in general practitioners’ offices are associated with better glycemic control in type 2 diabetes
- Infectious Diseases
- Validation of a chemiluminescent assay for specific SARS-CoV-2 antibody
- Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019
- Does a change in quality control results influence the sensitivity of an anti-HCV test?
- Letters to the Editor
- Variability between testing methods for SARS-CoV-2 nucleic acid detection 16 days post-discharge: a case report
- L-index, more than a screening tool for hypertriglyceridemia
- Neutralization of biotin interference: preliminary evaluation of the VeraTest Biotin™, VeraPrep Biotin™ and BioT-Filter®
- Counting and reporting band count is unreliable practice due to the high inter-observer variability
- Cigarette smoking prior to blood sampling acutely affects serum levels of the chronic obstructive pulmonary disease biomarker surfactant protein D
- How reliable is the detection of anti-mitochondrial antibodies on murine triple-tissue?
- Further advices on measuring lipoprotein(a) for reducing the residual cardiovascular risk on statin therapy