2021
DOI: 10.3390/medicina57030238
|View full text |Cite
|
Sign up to set email alerts
|

What We Should Consider in Point of Care Blood Glucose Test; Current Quality Management Status of a Single Institution

Abstract: Background and Objectives: Point of care test (POCT) is generally performed by non-laboratory staff who often lack an understanding on the quality control and quality assurance programs. The purpose of this study was to understand the current status of quality management of point of care (POC) blood glucose testing in a single institution where non-laboratory staff perform the tests. Materials and Methods: From July to August 2020, management status of glucometer, test strips, quality control (QC) materials, q… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
3

Relationship

3
0

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 28 publications
0
2
0
Order By: Relevance
“…Dear Editor, The accuracy of a point-of-care (POC) glucometer is closely related to the quality of insulin dosing decisions [1,2]. The performance of a POC glucometer should be sufficient for a pre-market study.…”
mentioning
confidence: 99%
“…Dear Editor, The accuracy of a point-of-care (POC) glucometer is closely related to the quality of insulin dosing decisions [1,2]. The performance of a POC glucometer should be sufficient for a pre-market study.…”
mentioning
confidence: 99%
“…Most laboratory test results are uniformly reported through laboratory information systems (LISs), which leads to standardized data [2]. However, data of point-ofcare (POC) tests, like point-of-care glucose meter tests (PGMTs), are not standardized [3]. Although many Korean and global medical institutions have adopted computerized reporting to ensure the reliability of PGMT results [4], the extent and scope of this implementation differ substantially depending on the acceptance of data integration and standardization among medical staff.…”
mentioning
confidence: 99%