Developing a Comprehensive Framework of Safeguarding Strategies to Address Anticipated Errors With Organizational High-Alert Medications

Abstract

Purpose: To describe the development of a comprehensive framework of safeguarding strategies to address observed/anticipated errors with organizational high-alert medications. Methods: Observed/anticipated errors were identified for organizational high-alert medications and medication classes based on a review of external literature and alerts as well as internal voluntary error reporting. Anticipated or frequently reported errors were categorized into common cause error types. Error reduction strategies to address each common cause error were identified in collaboration with medication safety specialists and specialty practice pharmacists. Results: The review of externally and internally reported errors identified 101 observed/anticipated common cause errors across the 19 high-alert medication classes (median 5 error types per medication class, interquartile range 3-6). Safeguarding strategies specific to high-alert medications were identified in the following domains: separate or sequestered storage; restricted ordering; active alerts; dispensing in patient-specific dosing, unit of use, or unit-dose packaging; dispensing from pharmacy only; auxiliary labeling; level of care restriction; required monitoring; independent double checks; certification/privileging of staff; specific guidelines for use/monitoring; and other/miscellaneous. Identification of the observed/anticipated errors and the associated safeguarding strategies facilitated the development of a comprehensive tool and visual framework for addressing common cause errors associated with organizational high-alert medications. Conclusion: A comprehensive framework of safeguarding strategies to address anticipated errors with organizational high-alert medications is proposed. Although individual safeguards are institution-specific, the framework can be leveraged by all hospitals in order to take inventory of error-reduction strategies and prospectively identify gaps to address common cause errors.