Detection of potential look-alike/sound-alike medication errors using Veterans Affairs administrative databases.

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...

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Publicado en:American Journal of Health-System Pharmacy Vol. 75; no. 19; pp. 1460 - 1467
Autores principales: Zacher, Jessica M., Cunningham, Francesca E., Zhao, Xinhua, Burk, Muriel L., Moore, Von R., Good, Chester B., Glassman, Peter A., Aspinall, Sherrie L.
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA 10/1/2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 10/1/2018
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      pub: Oxford University Press / USA
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        atl: Detection of potential look-alike/sound-alike medication errors using Veterans Affairs administrative databases.
      aug:
        au:
          Zacher, Jessica M.
          Cunningham, Francesca E.
          Zhao, Xinhua
          Burk, Muriel L.
          Moore, Von R.
          Good, Chester B.
          Glassman, Peter A.
          Aspinall, Sherrie L.
        affil: VA Center for Medication Safety/Pharmacy Benefits Management Services, Hines, IL
      sug:
        subj:
          Phonetics
          Medication Errors
          Veterans
          Prescriptions, Drug
          Human
          Prevalence
          Record Review
          Tamsulosin
          Terazosin
          Glipizide
          Glyburide
          Bupropion
          Chemistry, Pharmaceutical
          Metoprolol
          Tramadol
          Trazodone
          Buspirone
          Lamivudine
          Lamotrigine
          Confidence Intervals
          Carbamazepine
          Morphine
          Dihydromorphinone
          Legislation, Drug
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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