Use of computer alerts to prevent the inappropriate use of metformin in an inpatient setting

Quality Management in Health Care

Volumn 21, Issue 4, 2012, Pages 235-239

  Rossi, Ana P ^a   Wellins, Christopher A ^a   Savic, Marizela ^a   Devlin, John T ^a  

^a MAINE MEDICAL CENTER   (United States)

Author keywords

computer alerts; electronic health records; lactic acidosis; metformin

Indexed keywords

ANTIDIABETIC AGENT; METFORMIN;

AGED; ARTICLE; DRUG CONTRAINDICATION; FEMALE; HOSPITAL INFORMATION SYSTEM; HOSPITALIZATION; HUMAN; MALE; MEDICAL AUDIT; MIDDLE AGED; RETROSPECTIVE STUDY; STANDARD; TERTIARY HEALTH CARE; UNITED STATES;

AGED; FEMALE; HOSPITALIZATION; HUMANS; HYPOGLYCEMIC AGENTS; MAINE; MALE; MEDICAL AUDIT; MEDICAL ORDER ENTRY SYSTEMS; METFORMIN; MIDDLE AGED; RETROSPECTIVE STUDIES; TERTIARY CARE CENTERS;

EID: 84867029739     PISSN: 10638628     EISSN: 15505154     Source Type: Journal    
DOI: 10.1097/QMH.0b013e31826d1ef9     Document Type: Article

References (19)

1. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK prospective diabetes study (UKPDS) group. Lancet. 1998;352(9131):854-865.
2. Nathan DM, Buse JB, Davidson MB, et al. Medical management of hyperglycaemia in type 2 diabetes mellitus: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia. 2009;52(1):17-30.
3. Misbin RI. The phantom of lactic acidosis due to metformin in patients with diabetes. Diabetes Care. 2004;27(7): 1791-1793. (Pubitemid 38857465)
4. Stacpoole PW, Wright EC, Baumgartner TG, et al. Natural history and course of acquired lactic acidosis in adults. DCAlactic acidosis study group. Am J Med. 1994;97(1):47-54. (Pubitemid 24223633)
5. Misbin RI, Green L, Stadel BV, Gueriguian JL, Gubbi A, Fleming GA. Lactic acidosis in patients with diabetes treated with metformin. N Engl J Med. 1998;338(4):265-266. (Pubitemid 28047587)
6. Glucophage (metformin hydrochloride). Package insert. Princeton. NJ: Bristol-Myers Squibb Company; 2009.
7. Calabrese AT, Coley KC, DaPos SV, Swanson D, Rao RH. Evaluation of prescribing practices: Risk of lactic acidosis with metformin therapy. Arch Intern Med. 2002;162(4):434-437. (Pubitemid 34150645)
8. Millican S, Cottrell N, Green B. Do risk factors for lactic acidosis influence dosing of metformin? J Clin Pharm Ther. 2004;29(5):449-454. (Pubitemid 39457470)
9. Emslie-Smith AM, Boyle DI, Evans JM, Sullivan F, Morris AD; DARTS/MEMO Collaboration. Contraindications to metformin therapy in patients with type 2 diabetes-a population-based study of adherence to prescribing guidelines. Diabet Med. 2001;18(6):483-488. (Pubitemid 32738698)
10. Chan NN, Brain HP, Feher MD. Metformin-associated lactic acidosis: a rare or very rare clinical entity? Diabet Med. 1999;16(4):273-281.
11. Scotton DW, Wierman H, Coughlan A, Walters M, Kuhn C. Assessing the appropriate use of metformin in an inpatient setting and the effectiveness of two pharmacy-based measures to improve guideline adherence. Qual Manag Health Care. 2009;18(1):71-76.
12. Judge J, Field TS, DeFlorio M, et al. Prescribers' responses to alerts duringmedication ordering in the long term care setting. J Am Med Inform Assoc. 2006;13(4):385-390. (Pubitemid 43947627)
13. Lapane KL,Waring ME, Schneider KL, Dube C, Quilliam BJ. A mixed method study of the merits of e-prescribing drug alerts in primary care. J Gen Intern Med. 2008;23(4):442-446. (Pubitemid 351464878)
14. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163(12):1409-1416. (Pubitemid 36758913)
15. van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13(2):138-147. (Pubitemid 43332904)
16. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999;130(6):461-470. (Pubitemid 29135798)
17. StataCorp. Stata Statistical Software: Release 11. College Station, TX: StataCorp LP; 2009.
18. Strom BL, Schinnar R, Aberra F, et al. Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction: a randomized controlled trial. Arch Intern Med. 2010;170(17):1578-1583.
19. Paterno MD, Maviglia SM, Gorman PN, et al. Tiering drugdrug interaction alerts by severity increases compliance rates. J Am Med Inform Assoc. 2009;16(1):40-46.