@article{876, keywords = {Veterans Administration, database management systems, medical order-entry systems, medication errors}, author = {Jessica M. Zacher and Francesca E. Cunningham and Xinhua Zhao and Muriel L. Burk and Von R. Moore and Chester B. Good and Peter A. Glassman and Sherrie L. Aspinall}, title = {Detection of potential look-alike/sound-alike medication errors using Veterans Affairs administrative databases.}, abstract = {

PURPOSE: Results of a study to estimate the prevalence of look-alike/sound-alike (LASA) medication errors through analysis of Veterans Affairs (VA) administrative data are reported.

METHODS: Veterans with at least 2 filled prescriptions for 1 medication in 20 LASA drug pairs during the period April 2014-March 2015 and no history of use of both medications in the preceding 6 months were identified. First occurrences of potential LASA errors were identified by analyzing dispensing patterns and documented diagnoses. For 7 LASA drug pairs, potential errors were evaluated via chart review to determine if an actual error occurred.

RESULTS: Among LASA drug pairs with overlapping indications, the pairs associated with the highest potential-error rates, by percentage of treated patients, were tamsulosin and terazosin (3.05%), glipizide and glyburide (2.91%), extended- and sustained-release formulations of bupropion (1.53%), and metoprolol tartrate and metoprolol succinate (1.48%). Among pairs with distinct indications, the pairs associated with the highest potential-error rates were tramadol and trazodone (2.20%) and bupropion and buspirone (1.31%). For LASA drug pairs found to be associated with actual errors, the estimated error rates were as follows: lamivudine and lamotrigine, 0.003% (95% confidence interval [CI], 0-0.01%); carbamazepine and oxcarbazepine, 0.03% (95% CI, 0-0.09%); and morphine and hydromorphone, 0.02% (95% CI, 0-0.05%).

CONCLUSION: Through the use of administrative databases, potential LASA errors that could be reviewed for an actual error via chart review were identified. While a high rate of potential LASA errors was detected, the number of actual errors identified was low.

}, year = {2018}, journal = {Am J Health-Syst Pharm}, volume = {75}, pages = {1460-1466}, month = {10/2018}, issn = {1535-2900}, doi = {10.2146/ajhp170703}, language = {eng}, }