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Medication errors with electronic prescribing (eP): Two views of the same picture
Imogen Savage1, Tony Cornford, Ela Klecun
1Department of Practice and Policy, the School of Pharmacy University of London, London, UK. imogen.savage@pharmacy.ac.uk
Qualitative methods offer a cost-effective way to understand electronic prescribing (eP) medication errors, revealing insights beyond retrospective record reviews. This approach provides richer data on prescribing processes and error causes.
Area of Science:
- Health Informatics
- Patient Safety
- Medication Management
Background:
- Quantitative prospective methods are standard for evaluating new technologies like electronic prescribing (eP) but are resource-intensive.
- Obtaining pre-intervention data for these evaluations is often not feasible.
- This study aimed to compare retrospective quantitative and qualitative methods for assessing eP medication errors.
Purpose of the Study:
- To compare the effectiveness of retrospective quantitative and qualitative methods in evaluating medication errors associated with electronic prescribing (eP).
- To assess the feasibility and richness of data obtained from different retrospective methods for understanding medication errors.
Main Methods:
- A retrospective analysis of clinical records and medication orders for 75 patients was conducted.
- Semi-structured interviews were performed with 26 healthcare staff and 19 patients.
- Interview transcripts and records were systematically analyzed for medication incidents and errors.
Main Results:
- Both quantitative record review and qualitative interviews provided similar overall pictures of the drug use process.
- Qualitative interviews identified additional eP-specific errors not found in the record review.
- Interview data collection was less time-consuming and yielded richer insights into prescribing processes and error reasons.
Conclusions:
- Qualitative methods offer deeper understanding of medication error processes and contributing factors.
- This retrospective qualitative approach is cost-effective.
- Qualitative findings can effectively supplement data from anonymous error reporting systems.
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