2017
DOI: 10.5055/jom.2017.0367
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An analysis of errors, discrepancies, and variation in opioid prescriptions for adult outpatients at a teaching hospital

Abstract: Objective To determine opioid prescribing patterns and rate of three types of errors, discrepancies, and variation from ideal practice. Design Retrospective review of opioid prescriptions processed at an outpatient pharmacy Setting Tertiary institutional medical center Patients We examined 510 consecutive opioid medication prescriptions for adult patients processed at an institutional outpatient pharmacy in June 2016 for patient, provider, and prescription characteristics. Main Outcome Measure(s) We an… Show more

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Cited by 15 publications
(15 citation statements)
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“…name, dose, frequency). 23 Unrelieved pain is a major issue in health settings, with opioid incidents, particularly omission of dose, contributing to the burden of patient pain. 18 In this and other studies, 12,18 the most common types of opioid incidents reported related to 'incorrect dose' or 'omission of dose'.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…name, dose, frequency). 23 Unrelieved pain is a major issue in health settings, with opioid incidents, particularly omission of dose, contributing to the burden of patient pain. 18 In this and other studies, 12,18 the most common types of opioid incidents reported related to 'incorrect dose' or 'omission of dose'.…”
Section: Discussionmentioning
confidence: 99%
“…Compared to hand written opioid prescriptions, eMMS are less likely to contain deviations from best‐practice such as missing patient identifiers, error‐prone abbreviations, illegible or incomplete text and medication errors (e.g. name, dose, frequency) 23 …”
Section: Discussionmentioning
confidence: 99%
“…In a study by Bricket et al, handwritten opioid prescriptions were associated with a significantly higher rate of errors, discrepancies and variation from ideal practice and government regulations as compared with electronic, health-record, computer-generated prescriptions. 30 The authors concluded that electronic prescriptions should be used to improve the safety and relevance of opioid prescriptions. On the other hand, the difficulty or inability of community pharmacists to speak with the prescriber within an acceptable time frame to provide effective patient care is a direct communication problem.…”
Section: Discussionmentioning
confidence: 99%
“…There was a 12% error rate in the non-EHR computer-generated prescriptions. 15 Of the handwritten prescriptions, 87% of these prescriptions were noncompliant with DEA rules, and 46% lacked two patient identifiers, whereas 0% of EHR computer-generated prescriptions were noncompliant with DEA rules; they all included two patient identifiers. 15 electronic application (Figure 3).…”
Section: Software Accessmentioning
confidence: 99%