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Prescribing indicators for evaluating drug use in nursing homes
Karen N van Dijk1, Lisa G Pont, Corinne S de Vries
1Department of Clinical Pharmacy, Medical Centre Leeuwarden, Leeuwarden, The Netherlands. Karen.van.Dijk@znb.nl
The Annals of Pharmacotherapy
|July 5, 2003
Summary
Prescribing indicators derived from pharmacy data can identify suboptimal drug use in nursing homes. However, some indicators, like dosage levels, require clinical review for accuracy.
Area of Science:
- Geriatric Pharmacy
- Health Services Research
- Pharmacovigilance
Background:
- Evaluating medication use in nursing home residents is crucial for patient safety.
- Pharmacy prescription data offers a potential source for monitoring drug prescribing patterns.
- Developing effective prescribing indicators is key to identifying potential medication-related problems.
Purpose of the Study:
- To develop and assess the utility of prescribing indicators using pharmacy data to evaluate drug use in Dutch nursing homes.
- To identify potentially suboptimal prescribing of specific drug classes, including benzodiazepines, NSAIDs, ulcer-healing drugs, and diuretics.
Main Methods:
- Prescribing indicators were developed based on national and regional guidelines.
- Indicators assessed included drug class usage, formulary adherence, polypharmacy, and dosage levels.
- Potentially suboptimal prescribing identified by indicators was verified through prescriber interviews and chart reviews.
Main Results:
- Prescribing indicators generally aligned with guidelines.
- A high rate of nonsteroidal anti-inflammatory drug (NSAID) prescribing without gastroprotection was observed.
- Dosage-based indicators were not always reliable for identifying suboptimal prescribing without additional clinical context.
Conclusions:
- Pharmacy prescription data, when used with carefully developed indicators, can be a valuable tool for evaluating drug prescribing in nursing homes.
- Some indicators effectively identified potentially suboptimal prescribing, while others required clinical validation.
- Further refinement and integration of clinical data are necessary for comprehensive assessment of prescribing appropriateness.