Preventing medication errors in long-term care: results and evaluation of a large scale web-based error reporting system

Qual Saf Health Care. 2007 Aug;16(4):297-302. doi: 10.1136/qshc.2007.022483.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Clinical Pharmacy Information Systems
  • Feasibility Studies
  • Health Care Surveys
  • Health Plan Implementation
  • Humans
  • Internet / statistics & numerical data*
  • Long-Term Care / standards*
  • Management Information Systems*
  • Medication Errors / classification
  • Medication Errors / prevention & control*
  • Medication Errors / statistics & numerical data
  • North Carolina
  • Nursing Homes / standards*
  • Organizational Innovation
  • Risk Management / methods*