Preventing medication errors in long-term care: results and evaluation of a large scale web-based error reporting system
- Stephanie Pierson1,
- Richard Hansen2,
- Sandra Greene1,
- Charlotte Williams1,
- Roger Akers1,
- Mattias Jonsson1,
- Timothy Carey1
- 1Cecil G Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- 2School of Pharmacy, Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Correspondence to: Stephanie Pierson University of North Carolina at Chapel Hill, Cecil G Sheps Center for Health Services Research, 725 Martin Luther King Jr Blvd, Campus Box #7590, Chapel Hill, North Carolina 27599-7590, USA; pierson{at}unc.edu
- Accepted 30 April 2007
Abstract
Objective: To describe the implementation and evaluation of a web-based medication error reporting system.
Design: Evaluation study.
Setting: Long-term care.
Participants: 25 nursing homes in the US state of North Carolina.
Intervention: Detailed information about all medication errors occurring in a facility during a 1 year period was entered into a web-based reporting system. An evaluation survey was conducted to assess usability and the potential for the system to prevent errors.
Main outcome measures: Number and specific characteristics of medication errors reported. A survey evaluating ease of use of the system and whether the participants thought it would help improve medication safety.
Results: 23 (92%) sites entered 631 error reports for 2731 discrete error instances when weighted by the number of times the errors were repeated. 51 (8%) errors were classified as having a serious patient impact requiring monitoring/intervention or worse. The most common errors were dose omission (203, 32%), overdose (91, 14%), underdose (43, 7%), wrong patient (38, 6%), wrong product (38, 6%), and wrong strength (38, 6%). Errors most commonly occurred during medication administration (296, 47%) and were attributed to basic human error (402, 48%). Seven drugs were implicated in a third (175, 28%) of all errors: lorazepam, oxycodone, warfarin, furosemide, hydrocodone, insulin and fentanyl. 20 sites (86% of respondents) completed the evaluation survey and participants found the system easy to use and thought it would increase accuracy of reporting and improve patient safety.
Conclusions: The web-based medication error reporting system was easy to use, with strong indications that it would be a valuable tool for preventing future errors.
Footnotes
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This work was funded by the North Carolina Division of Facility Services, a US state organisation responsible for licensing nursing homes.
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Competing interests: All authors declare that they have no competing interests and therefore nothing to declare.
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This study was determined to be exempt from review by the UNC-Chapel Hill Internal Review Board. The IRB project number is 03-2169.








