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Assessing the accuracy of computerized medication histories
Peter J Kaboli1, Brad J McClimon, Angela B Hoth
1Center for Research in the Implementation of Innovative Strategies in Practice at the Iowa City VA Medical Center, Iowa City, Iowa, USA. peter-kaboli@uiowa.edu
The American Journal of Managed Care
|December 22, 2004
Summary
Computerized medication histories are frequently inaccurate, with significant omissions and commissions of patient drug information. This impacts patient care and research, highlighting a critical need for improved electronic health record accuracy.
Area of Science:
- Geriatric Medicine
- Health Informatics
- Pharmacology
Background:
- Accurate medication histories are crucial for safe patient care, especially for elderly individuals with multiple prescriptions.
- Electronic health records (EHRs) are widely used but their accuracy in capturing comprehensive medication data requires evaluation.
Purpose of the Study:
- To assess the accuracy of computerized medication histories in primary care patients aged 65 and older.
- To quantify discrepancies, including omissions and commissions, in electronic medication lists.
Main Methods:
- A cross-sectional observational study involving 493 elderly primary care patients (≥65 years) on ≥5 prescriptions.
- Semistructured interviews were conducted to verify medication, allergy, and adverse drug reaction (ADR) data.
- Accuracy of computerized lists was compared against patient-reported information.
Main Results:
- Only 5.3% of patients had a completely accurate computerized medication list.
- An average of 3.1 medications were omitted per patient, representing 25% of all medications taken.
- 12.6% of medications listed were not being taken by patients (commissions), and significant percentages of allergies (23.2%) and ADRs (63.9%) were missing.
Conclusions:
- Computerized medication histories demonstrate low accuracy, posing risks to patient safety.
- Inaccurate data compromises clinical decision-making, research utility, and quality assessment of prescribing and disease management.