1. Establishing quality indicators for point of care glucose testing: recommendations from the Canadian Society for Clinical Chemists Point of Care Testing and Quality Indicators Special Interest Groups
- Author
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Julie L.V. Shaw, Saranya Arnoldo, Lori Beach, Ihssan Bouhtiauy, Davor Brinc, Miranda Brun, Christine Collier, Elie Kostantin, Angela W.S. Fung, Anna K. Füzéry, Yun Huang, Sukhbir Kaur, Michael Knauer, Lyne Labrecque, Felix Leung, Jennifer L. Shea, Vinita Thakur, Laurel Thorlacius, Allison A. Venner, Paul M. Yip, and Vincent De Guire
- Subjects
Biochemistry (medical) ,Clinical Biochemistry ,General Medicine - Abstract
Objectives Monitoring quality indicators (QIs) is an important part of laboratory quality assurance (QA). Here, the Canadian Society of Clinical Chemists (CSCC) Point of Care Testing (POCT) and QI Special Interest Groups describe a process for establishing and monitoring QIs for POCT glucose testing. Methods Key, error prone steps in the POCT glucose testing process were collaboratively mapped out, followed by risk assessment for each step. Steps with the highest risk and ability to detect a non-conformance were chosen for follow-up. These were positive patient identification (PPID) and repeat of critically high glucose measurements. Participating sites were asked to submit aggregate data for these indicators from their site(s) for a one-month period. The PPID QI was also included as part of a national QI monitoring program for which fifty-seven sites submitted data. Results The percentage of POCT glucose tests performed without valid PPID ranged from 0–87%. Sites without Admission-Discharge-Transfer (ADT) connectivity to POCT meters were among those with the highest percentage of POCT glucose tests performed without valid PPID. The percentage repeated critically high glucose measurements ranged from 0–50%, indicating low compliance with this recommendation. A high rate of discordance was also noted when critically high POCT glucose measurements were repeated, demonstrating the importance of repeat testing prior to insulin administration. Conclusions Here, a process for establishing these QIs is described, with preliminary data for two QIs chosen from this process. The findings demonstrate the importance of QIs for identification and comparative performance monitoring of non-conformances to improve POCT quality.
- Published
- 2023