Temporal trends of hemoglobin A1c testing

Journal of the American Medical Informatics Association

Volumn 21, Issue 6, 2014, Pages 1038-1044

  Pivovarov, Rimma ^a   Albers, David J ^a   Hripcsak, George ^a   Sepulveda, Jorge L ^b   Elhadad, Noémie ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b NewYork Presbyterian Hospital   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN A1C; GLYCOSYLATED HEMOGLOBIN;

ARTICLE; DIABETES MELLITUS; DIAGNOSTIC APPROACH ROUTE; ELECTRONIC HEALTH RECORD; HUMAN; LABORATORY TEST; MEASUREMENT; POINT OF CARE TESTING; PRACTICE GUIDELINE; BLOOD; BLOOD ANALYSIS; ELECTRONIC MEDICAL RECORD; HEALTH SERVICES RESEARCH; LONGITUDINAL STUDY; MEDICAL AUDIT; NONPARAMETRIC TEST; ORGANIZATION AND MANAGEMENT; PATIENT CARE; STATISTICAL MODEL; TRENDS; UNITED STATES; UNIVERSITY HOSPITAL; UNNECESSARY PROCEDURE; UTILIZATION;

ACADEMIC MEDICAL CENTERS; BLOOD CHEMICAL ANALYSIS; DIABETES MELLITUS; ELECTRONIC HEALTH RECORDS; GUIDELINE ADHERENCE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; LONGITUDINAL STUDIES; MEDICAL AUDIT; MODELS, STATISTICAL; NEW YORK CITY; ORGANIZATIONAL CASE STUDIES; PATIENT CARE MANAGEMENT; PRACTICE GUIDELINES AS TOPIC; STATISTICS, NONPARAMETRIC; UNNECESSARY PROCEDURES;

EID: 84902040483     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002592     Document Type: Article

References (24)

1. Smith M, Saunders R, Stuckhardt L, et al. Committee on Learning the Health Care System in America. Best care at lower cost: the path to continuously learning health care in America, Washington, DC: Institute of Medicine; 2012.
2. Sacks DB, Bruns DE, Goldstein DE, et al. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin Chem 2002;48:436-72.
3. Selvin E, Steffes MW, Zhu H, et al. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med 2010;362:800-11.
4. Handelsman Y, Mechanick JI, Blonde L, et al. American Association of Clinical Endocrinologists Medical Guidelines for Clinical Practice for developing a diabetes mellitus comprehensive care plan. Endocr Pract 2011;17:1-53.
5. Committee IE. International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care 2009;32:1327-34.
6. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2010;33(Suppl 1):S62-S69.
7. Association AD. Standards of medical care in diabetes-2013. Diabetes Care 2013;36(Suppl 1):S11-66.
8. Laxmisan A, Vaughan-Sarrazin M, Cram P. Repeated Hemoglobin A1C ordering in the VA health system. Am J Med 2011;124:342-9.
9. Driskell OJ, Holland D, Hanna FW, et al. Inappropriate requesting of glycated hemoglobin (Hb A1c) is widespread: assessment of prevalence, impact of national guidance, and practice-to-practice variability. Clin Chem 2012;58:906-15.
10. 1c testing to monitor glycemia: is there evidence in laboratory data? J Eval Clin Pract 2007;13:21-4.
11. Van Walraven C. Population-based study of repeat laboratory testing. Clin Chem 2003;49:1997-2005.
12. Salvagno GL, Lippi G, Targher G, et al. Monitoring glycaemic control: is there evidence for appropriate use of routine measurement of glycated haemoglobin? Clin Chem Lab Med 2007;45:1065-7.
13. Massey FJ Jr. The Kolmogorov-Smirnov test for goodness of fit. J Am Stat Assoc 1951;46:68-78.
14. Goldstein DE, Little RR, Lorenz RA, et al. Tests of glycemia in diabetes. Diabetes Care 2004;27:1761-73.
15. Singer DE, Coley CM, Samet JH, et al. Tests of glycemia in diabetes mellitus. Their use in establishing a diagnosis and in treatment. Ann Intern Med 1989;110:125-37.
16. Peters AL, Davidson MB, Schriger DL, et al. A clinical approach for the diagnosis of diabetes mellitus: an analysis using glycosylated hemoglobin levels. Meta-analysis Research Group on the Diagnosis of Diabetes Using Glycated Hemoglobin Levels. JAMA J Am Med Assoc 1996;276:1246-52.
17. Lyon AW, Higgins T, Wesenberg JC, et al. Variation in the frequency of hemoglobin A1c (HbA1c) testing: population studies used to assess compliance with clinical practice guidelines and use of HbA1c to screen for diabetes. J Diabetes Sci Technol 2009;3:411-17.
18. Stewart BA, Fernandes S, Rodriguez-Huertas E, et al. A preliminary look at duplicate testing associated with lack of electronic health record interoperability for transferred patients. J Am Med Inform Assoc JAMIA 2010; 17:341-4.
19. Baron JM, Dighe AS. The role of informatics and decision support in utilization management. Clin Chim Acta Int J Clin Chem 2014;427:196-201.
20. Pivovarov R, Albers DJ, Sepulveda JL, et al. Identifying and mitigating biases in EHR laboratory tests. J Biomed Inform 2014 [epub ahead of print 13 April 2014]. doi:10.1016/j.jbi.2014.03.016
21. Miyakis S, Karamanof G, Liontos M, et al. Factors contributing to inappropriate ordering of tests in an academic medical department and the effect of an educational feedback strategy. Postgrad Med J 2006;82:823-9.
22. Huang ES, Basu A, O'Grady M, et al. Projecting the future diabetes population size and related costs for the U.S. Diabetes Care 2009;32:2225-9.
23. Zhi M, Ding EL, Theisen-Toupal J, et al. The landscape of inappropriate laboratory testing: a 15-year meta-analysis. PLoS ONE 2013;8:e78962.
24. Bates DW, Boyle DL, Rittenberg E, et al. What proportion of common diagnostic tests appear redundant? Am J Med 1998;104:361-8.