Real-world use of key performance indicators for point-of-Care Testing network accredited by ISO 22870

Objective We aimed to evaluate the results of key performance indicators (KPIs) for a period of over three years, as well as their effectiveness as an improvement tool, to provide information about Point-of-Care Testing (POCT) management system performance and quality assurance. Design and methods KPIs regarding the global POCT process, extra-analytical phase, quality assurance and staff training and competency were evaluated for blood gases, HbA1c, sweat test and non-connected and connected glucose in an ISO 22870 accredited network. We established the definition of every KPI and its corresponding target. The results of KPIs from all clinical settings were appraised every month during the study period, taking corrective actions when necessary. Results Annual global results were generally acceptable. However, some clinical areas displayed deviations in specific months. The monitoring of these KPIs allowed us to detect the deviations immediately and identify their causes. These included errors in patient identification, consumables, strips, reagents, analyzers, calibration, internal and external quality control, sample management, connectivity, and operator identification strategy, among others. Conclusions The evaluation of these KPIs over time has shown their appropriateness. This set of quality indicators could be a useful tool for laboratory medicine leading POCT networks for better and safer patient care.

[1]  Mario Plebani,et al.  Quality indicators in laboratory medicine: a fundamental tool for quality and patient safety. , 2013, Clinical biochemistry.

[2]  M. L. Hortas,et al.  Use of quality indicators to compare point-of-care testing errors in a neonatal unit and errors in a STAT central laboratory , 2015, Clinical chemistry and laboratory medicine.

[3]  Mario Plebani,et al.  Pre-analytical quality indicators in laboratory medicine: Performance of laboratories participating in the IFCC working group "Laboratory Errors and Patient Safety" project. , 2019, Clinica chimica acta; international journal of clinical chemistry.

[4]  C. Walsh,et al.  Development of key performance indicators for prehospital emergency care , 2016, Emergency Medicine Journal.

[5]  Yong Xia,et al.  Risk assessment of the total testing process based on quality indicators with the Sigma metrics , 2020, Clinical chemistry and laboratory medicine.

[6]  Mario Plebani,et al.  Quality Indicators for the Total Testing Process. , 2017, Clinics in laboratory medicine.

[7]  Mario Plebani,et al.  Defining a roadmap for harmonizing quality indicators in Laboratory Medicine: a consensus statement on behalf of the IFCC Working Group “Laboratory Error and Patient Safety” and EFLM Task and Finish Group “Performance specifications for the extra-analytical phases” , 2017, Clinical chemistry and laboratory medicine.

[8]  Mario Plebani,et al.  Performance criteria and quality indicators for the post-analytical phase , 2015, Clinical chemistry and laboratory medicine.

[9]  Mario Plebani,et al.  Performance criteria and quality indicators for the pre-analytical phase , 2015, Clinical chemistry and laboratory medicine.

[10]  M. Plebani,et al.  Harmonization of pre-analytical quality indicators , 2014, Biochemia medica.

[11]  M. O'Kane,et al.  Quality error rates in point-of-care testing. , 2011, Clinical chemistry.

[12]  Mariano Cortés Rius,et al.  Hemolisis en las muestras para diagnostico , 2009 .

[13]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[14]  Xudong Ma,et al.  National surveys on 15 quality indicators for the total testing process in clinical laboratories of China from 2015 to 2017 , 2018, Clinical chemistry and laboratory medicine.

[15]  Mario Plebani,et al.  Extra-analytical quality indicators – where to now? , 2017, Clinical chemistry and laboratory medicine.

[16]  M. Plebani The quality indicator paradox , 2016, Clinical chemistry and laboratory medicine.

[17]  Tsuyoshi Murata,et al.  {m , 1934, ACML.