Dataset Information

Glucose point-of-care meter operators competency: An assessment checklist.

ABSTRACT:

Background and objectives

Glucose point-of-care testing meters are essential technology ubiquitous in hospitals. They are operated by non-specialized staff who are assessed through an auto-recertification process that is dependent on operators successfully producing expected outcomes. Alternatively, we suggest that operator practices be directly observed using a competency assessment checklist.

Method

We designed a checklist based on literature and manufacturers' instructions and tested it by observing 30 operators at two sites (three hospitals) over two months in 2018.

Results

Despite all operators being auto-recertified, the checklist revealed that only 20% met the 80% threshold of compliance to standards. Moreover, the site with a POCT coordinator had a compliance rate of 82% versus 67% for the site that did not.

Discussion

The checklist is more reliable than auto-recertification in assessing operators' competence. It also highlights areas for process improvement and provides an opportunity to give personalized feedback to operators.

SUBMITTER: Tang Friesner C

PROVIDER: S-EPMC7090327 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Publications

Glucose point-of-care meter operators competency: An assessment checklist.

Tang Friesner Cindy C Meyer Julien J Nippak Pria P

Practical laboratory medicine 20200305

<h4>Background and objectives</h4>Glucose point-of-care testing meters are essential technology ubiquitous in hospitals. They are operated by non-specialized staff who are assessed through an auto-recertification process that is dependent on operators successfully producing expected outcomes. Alternatively, we suggest that operator practices be directly observed using a competency assessment checklist.<h4>Method</h4>We designed a checklist based on literature and manufacturers' instructions and ...[more]

PMID: 32215314

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Project description:ObjectivesPoint-of-care ultrasound (POCUS) has become an integral diagnostic and interventional tool. Barriers to POCUS training persist, and it continues to remain heterogeneous across training programs. Structured POCUS assessment tools exist, but remain limited in their feasibility, acceptability, reliability, and validity; none of these tools are entrustment-based. The objective of this study was to derive a simple, entrustment-based POCUS competency assessment tool and pilot it in an assessment setting.MethodsThis study was composed of two phases. First, a three-step modified Delphi design surveyed 60 members of the Canadian Association of Emergency Physicians Emergency Ultrasound Committee (EUC) to derive the anchors for the tool. Subsequently, the derived ultrasound competency assessment tool (UCAT) was used to assess trainee (N = 37) performance on a simulated FAST examination. The intraclass correlation (ICC) for inter-rater reliability and Cronbach's alpha for internal consistency were calculated. A statistical analysis was performed to compare the UCAT to other competency surrogates.ResultsThe three-round Delphi had 22, 26, and 26 responses from the EUC members. Consensus was reached, and anchors for the domains of preparation, image acquisition, image optimization, and clinical integration achieved approval rates between 92 and 96%. The UCAT pilot revealed excellent inter-rater reliability (with ICC values of 0.69-0.89; p < 0.01) and high internal consistency (α = 0.91). While UCAT scores were not impacted by level of training, they were significantly impacted by the number of previous POCUS studies completed.ConclusionsWe developed and successfully piloted the UCAT, an entrustment-based bedside POCUS competency assessment tool suitable for rapid deployment. The findings from this study indicate early validity evidence for the use of the UCAT as an assessment of trainee POCUS competence on FAST. The UCAT should be trialed in different populations performing several POCUS study types.

Project description:BackgroundPoint of care (POC) glucose meters are routinely used as a screening tool for hypoglycemia in a neonatal setting. Glucose meters however, lack the same accuracy as laboratory instruments for glucose measurement. In this study we investigated potential reasons for this inaccuracy and established a cut off value for confirmatory testing.MethodsIn this prospective study, all patients in the neonatal intensive care unit who had a plasma glucose test ordered were eligible to participate. Demographic information, sample collection information (nine variables) and a recent hematocrit value were recorded for each sample. Glucose measurements were taken at the bedside on the glucose meter (RN PCx) as well as in the laboratory on both the glucose meter (LAB PCx) and the laboratory analyzer (PG). Data were analyzed by simple and mixed-effects regression analysis and by analysis of a receiver operator characteristics (ROC) curve.ResultsThere were 475 samples analyzed from 132 patients. RN PCx values were higher than PG values (mean = 4.9%), while LAB PCx results were lower (mean = -5.2%) than PG values. Only 31% of the difference between RN PCx--PG and 46% of the difference for LAB PCx--PG could be accounted for by the variables tested. The largest proportion of variance between PCx and PG measurements was explained by hematocrit (about 30%) with a greater effect seen at glucose concentrations < or =4.0 mmol/L (< or =72 mg/dL)(48% and 40% for RN PCx and LAB PCx, respectively). The ROC analysis showed that for detection of all cases of hypoglycemia (PG < 2.6 mmol/L)(PG < 47 mg/dL) the PCx screening cut off value would need to be set at 3.8 mmol/L (68 mg/dL) requiring 20% of all samples to have confirmatory analysis by the laboratory method.ConclusionThe large difference between glucose results obtained by PCx glucose meter compared to the laboratory analyzer can be explained in part by hematocrit and low glucose concentration. These results emphasize that the glucose meter is useful only as a screening device for neonatal hypoglycemia and that a screening cut off value must be established.

Dataset Information

Glucose point-of-care meter operators competency: An assessment checklist.

Background and objectives

Method

Results

Discussion

Publications

Glucose point-of-care meter operators competency: An assessment checklist.

Similar Datasets

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