BACKGROUND: The volume of hemoglobin A1c (HbA1c) testing has increased dramatically over the past decade and few studies have attempted to determine how the test is used. The goals of this study were to evaluate the frequency of HbA1c testing in regional populations to assess the extent of screening for diabetes and to determine if the HbA1c testing intervals of known diabetic patients were consistent with clinical practice guidelines. METHODS: Two years of HbA1c results were extracted from laboratory information systems in four regions of the province of Alberta that represent urban, mixed urban-rural, and rural populations. HbA1c testing frequencies and the proportions of nondiabetic patients undergoing HbA1c tests were derived. RESULTS: Approximately 60% of HbA1c tests in each region were done on patients who had only a single test during the 2-year interval. Testing of nondiabetic patients accounted for 24% of HbA1c tests and varied by region. While the cumulative frequency distributions of HbA1c test intervals resembled each other, detailed analyses of the frequency distributions depicted broad multimodal peaks and regional variations that suggest a great deal of heterogeneity among practices. The most common HbA1c testing interval was 3 months +/- 3 weeks in each region and is consistent with the 3-month test interval target in a clinical practice guideline. CONCLUSIONS: HbA1c testing is being performed on a substantial proportion of nondiabetic patients. On average, patients with diabetes in Alberta receive 1.5 HbA1c tests per year. However, we observed regional differences in the frequency of testing and variation in compliance with clinical practice guidelines. 2009 Diabetes Technology Society.
BACKGROUND: The volume of hemoglobin A1c (HbA1c) testing has increased dramatically over the past decade and few studies have attempted to determine how the test is used. The goals of this study were to evaluate the frequency of HbA1c testing in regional populations to assess the extent of screening for diabetes and to determine if the HbA1c testing intervals of known diabeticpatients were consistent with clinical practice guidelines. METHODS: Two years of HbA1c results were extracted from laboratory information systems in four regions of the province of Alberta that represent urban, mixed urban-rural, and rural populations. HbA1c testing frequencies and the proportions of nondiabeticpatients undergoing HbA1c tests were derived. RESULTS: Approximately 60% of HbA1c tests in each region were done on patients who had only a single test during the 2-year interval. Testing of nondiabeticpatients accounted for 24% of HbA1c tests and varied by region. While the cumulative frequency distributions of HbA1c test intervals resembled each other, detailed analyses of the frequency distributions depicted broad multimodal peaks and regional variations that suggest a great deal of heterogeneity among practices. The most common HbA1c testing interval was 3 months +/- 3 weeks in each region and is consistent with the 3-month test interval target in a clinical practice guideline. CONCLUSIONS: HbA1c testing is being performed on a substantial proportion of nondiabeticpatients. On average, patients with diabetes in Alberta receive 1.5 HbA1c tests per year. However, we observed regional differences in the frequency of testing and variation in compliance with clinical practice guidelines. 2009 Diabetes Technology Society.
Authors: Christopher D Saudek; William H Herman; David B Sacks; Richard M Bergenstal; David Edelman; Mayer B Davidson Journal: J Clin Endocrinol Metab Date: 2008-05-06 Impact factor: 5.958
Authors: Gian Luca Salvagno; Giuseppe Lippi; Giovanni Targher; Martina Montagnana; Gian Cesare Guidi Journal: Clin Chem Lab Med Date: 2007 Impact factor: 3.694
Authors: Trefor Higgins; Sharon Saw; Ken Sikaris; Carmen L Wiley; George C Cembrowski; Andrew W Lyon; Annu Khajuria; David Tran Journal: J Diabetes Sci Technol Date: 2009-07-01
Authors: Rimma Pivovarov; David J Albers; George Hripcsak; Jorge L Sepulveda; Noémie Elhadad Journal: J Am Med Inform Assoc Date: 2014-06-13 Impact factor: 4.497
Authors: Ceri Parfitt; Christopher J Duff; Jonathan Scargill; Lewis Green; David Holland; Adrian H Heald; Anthony A Fryer Journal: BMC Psychiatry Date: 2021-01-12 Impact factor: 3.630
Authors: Philip P Goodney; Karina A Newhall; Kimon Bekelis; Daniel Gottlieb; Richard Comi; Sushela Chaudrain; Adrienne E Faerber; Todd A Mackenzie; Jonathan S Skinner Journal: J Am Heart Assoc Date: 2016-08-10 Impact factor: 5.501