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Application of system-level root cause analysis for drug quality and safety problems: a case study
Brian C Sauer1, Charles D Hepler
1Salt Lake City IDEAS Center (151), VA SLC Health Care System, 500 Foothill Drive, Salt Lake City, UT 84148, USA. brian.sauer@utah.edu
Automated surveillance identified drug therapy problems. Root cause analysis (RCA) revealed patient knowledge gaps, nonadherence, and poor medication management systems contribute to these issues.
Area of Science:
- Health Services Research
- Patient Safety
- Medication Management
Background:
- Automated surveillance indicators identify potential drug therapy problems, including emergency department visits and hospitalizations.
- A prior study developed 39 indicators to assess drug use safety in a Florida healthcare coalition.
- This study focuses on a method to capture surveillance data for root cause analysis (RCA) to improve medication use systems.
Purpose of the Study:
- To apply findings from a computerized surveillance system with drug-related indicators to an RCA.
- To evaluate the effectiveness of RCA in identifying criteria for improving drug therapy quality and safety.
- To enhance systemic responses to various drug therapy problems.
Main Methods:
- A case study involving 6 healthcare coalition stakeholders.
- Evaluation of 4 indicators related to prescribing, adherence, and monitoring in ambulatory care.
- Root cause analysis procedures including brainstorming, grouping, prioritization, and tree diagramming.
Main Results:
- Three key themes emerged as significant contributors to drug-related problems: lack of patient knowledge, patient nonadherence, and inadequate medication management systems.
- These identified barriers were found to be interconnected and influenced by subsystem factors.
- Common system failures and defects contribute to the persistence of drug therapy problems.
Conclusions:
- Drug therapy problems identified by indicators share common system failures.
- Root cause analysis (RCA) is a valuable method for evaluating population-level indicator data.
- RCA can identify medication use system failures and inform the development of targeted interventions.
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