TY - JOUR
T1 - Error types with use of medication-related technology
T2 - A mixed methods research study
AU - Shah, Shweta R.
AU - Galt, Kimberly A.
AU - Fuji, Kevin T.
N1 - Funding Information:
This work was supported by the grant “Pharmacists for Patient Safety” through the Dyke Anderson Patient Safety Grant , Nebraska Health and Human Services and the Nebraska Office of Rural Health . The funding source(s) had no involvement in the study design; collection analysis and interpretation of the data; writing of the report; or the decision to submit the article for publication.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/12
Y1 - 2019/12
N2 - Background: Health information technology has been integrated throughout the medication use process to enhance safety, quality, and care efficiency. However, technologies have the potential to eliminate or reduce, but also create some new types of errors. Objective: Assess specific error types before and after the incorporation of two different health information technologies (HITs), e-prescribing and automated dispensing cabinets (ADCs), into pharmacists’ daily work. Methods: A mixed methods design guided use of a pre-existing database of pharmacist survey responses describing patient safety HIT-related issues in the form of errors prevented and errors observed. In vivo descriptive text responses were converted into error types. Descriptive analysis was performed to characterize the error types associated with each HIT. Results: Four error types were eliminated with the use of e-prescribing, three new error types emerged, and three error types persisted. With ADC use, four error types were eliminated, three new error types emerged, and three error types persisted. Conclusion: Each technology has its own error types, and some persist regardless of HIT use. There is a need to determine optimal risk reduction approaches for each unique HIT introduced, and design safety practice improvement for error types unaffected by the introduction of HIT use.
AB - Background: Health information technology has been integrated throughout the medication use process to enhance safety, quality, and care efficiency. However, technologies have the potential to eliminate or reduce, but also create some new types of errors. Objective: Assess specific error types before and after the incorporation of two different health information technologies (HITs), e-prescribing and automated dispensing cabinets (ADCs), into pharmacists’ daily work. Methods: A mixed methods design guided use of a pre-existing database of pharmacist survey responses describing patient safety HIT-related issues in the form of errors prevented and errors observed. In vivo descriptive text responses were converted into error types. Descriptive analysis was performed to characterize the error types associated with each HIT. Results: Four error types were eliminated with the use of e-prescribing, three new error types emerged, and three error types persisted. With ADC use, four error types were eliminated, three new error types emerged, and three error types persisted. Conclusion: Each technology has its own error types, and some persist regardless of HIT use. There is a need to determine optimal risk reduction approaches for each unique HIT introduced, and design safety practice improvement for error types unaffected by the introduction of HIT use.
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U2 - 10.1016/j.sapharm.2019.01.010
DO - 10.1016/j.sapharm.2019.01.010
M3 - Article
C2 - 30665824
AN - SCOPUS:85060100887
VL - 15
SP - 1480
EP - 1483
JO - Research in Social and Administrative Pharmacy
JF - Research in Social and Administrative Pharmacy
SN - 1551-7411
IS - 12
ER -