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Economic impact of medication error: a systematic review
Elaine K Walsh1, Christina Raae Hansen2,3, Laura J Sahm2,4
1Department of General Practice, University College Cork, Cork, Ireland.
Medication errors impose a significant economic burden, with costs varying widely per error. This review highlights the need for better quality studies to accurately assess the financial impact of medication errors in healthcare.
Area of Science:
- Health Economics
- Patient Safety
- Pharmacoeconomics
Background:
- Medication errors contribute significantly to patient morbidity and mortality.
- Quality improvement interventions require clinical and cost-effectiveness data.
- Quantifying the economic burden of medication errors is crucial for intervention justification.
Purpose of the Study:
- To systematically review and quantify the economic burden associated with medication errors.
- To identify the range of costs attributable to medication errors across different settings and error types.
Main Methods:
- Comprehensive literature search of multiple databases (PubMed, Cochrane, Embase, CINAHL, EconLit, ABI/INFORM, Business Source Complete) for studies published between 2004 and 2016.
- Inclusion of studies assessing the economic impact of medication errors, with cost values standardized to Euro 2015.
- Narrative synthesis of findings from 16 included studies.
Main Results:
- Mean cost per medication error varied substantially, ranging from €2.58 to €111,727.08 across studies.
- Healthcare costs were the primary metric for economic impact (15 studies), with one study assessing litigation costs.
- Hospital settings dominated the economic impact assessments (12 studies), with limited data on primary care costs (4 studies).
Conclusions:
- Significant variability exists in reported financial costs, patient populations, settings, and types of medication errors studied.
- Many included studies were of poor methodological quality, limiting the reliability of economic impact assessments.
- Economic impact assessment predominantly focused on hospital settings, with a notable lack of primary care data and limited parameters used.
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