BACKGROUND: Evaluating new technology in clinical practice is an important component of translating research into practice. We considered the feasibility of using a Clinical Laboratory Improvement Amendments (CLIA)-waived point of care (POC) glycohemoglobin (HbA1c) methodology in busy family medicine centers by comparing the results of POC HbA1c and laboratory analysis results. METHODS: Recruited from 5 MetroNet practices, the participants were adult diabetic patients having blood samples drawn for laboratory analysis of HbA1c. Each agreed to provide a capillary blood sample for POC testing. RESULTS: With data on 99 paired samples, the POC method yielded a mean HbA1c of 7.38%, which was equivalent to the mean of 7.53% produced with all combined standard laboratory analyses. The Pearson correlation between POC and the laboratory analysis test results was 0.884 (P < .001). POC test sensitivity was 81.8% and specificity was 93.2%. Eighteen percent of patients with an HbA1c > = 7% by laboratory analysis were not identified as such by the POC test. CONCLUSIONS: Before adopting a POC methodology, practices are encouraged to review its feasibility in the context of the office routine, and also to conduct periodic comparisons of the accuracy of POC test results compared with those from laboratory analysis.
BACKGROUND: Evaluating new technology in clinical practice is an important component of translating research into practice. We considered the feasibility of using a Clinical Laboratory Improvement Amendments (CLIA)-waived point of care (POC) glycohemoglobin (HbA1c) methodology in busy family medicine centers by comparing the results of POC HbA1c and laboratory analysis results. METHODS: Recruited from 5 MetroNet practices, the participants were adult diabeticpatients having blood samples drawn for laboratory analysis of HbA1c. Each agreed to provide a capillary blood sample for POC testing. RESULTS: With data on 99 paired samples, the POC method yielded a mean HbA1c of 7.38%, which was equivalent to the mean of 7.53% produced with all combined standard laboratory analyses. The Pearson correlation between POC and the laboratory analysis test results was 0.884 (P < .001). POC test sensitivity was 81.8% and specificity was 93.2%. Eighteen percent of patients with an HbA1c > = 7% by laboratory analysis were not identified as such by the POC test. CONCLUSIONS: Before adopting a POC methodology, practices are encouraged to review its feasibility in the context of the office routine, and also to conduct periodic comparisons of the accuracy of POC test results compared with those from laboratory analysis.
Authors: Kimberly Campbell-Voytal; Jeanette M Daly; Zsolt J Nagykaldi; Cheryl B Aspy; Rowena J Dolor; Lyle J Fagnan; Barcey T Levy; Hannah L Palac; LeAnn Michaels; V Beth Patterson; Miria Kano; Paul D Smith; Andrew L Sussman; Robert Williams; Pamela Sterling; Maeve O'Beirne; Anne Victoria Neale Journal: Clin Transl Sci Date: 2015-11-25 Impact factor: 4.689
Authors: Paul K Drain; Emily P Hyle; Farzad Noubary; Kenneth A Freedberg; Douglas Wilson; William R Bishai; William Rodriguez; Ingrid V Bassett Journal: Lancet Infect Dis Date: 2013-12-10 Impact factor: 25.071