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An Internet-Based Method for Extracting Nursing Home Resident Sedative Medication Data From Pharmacy Packing Systems:
Tristan Ling1, Peter Gee1, Juanita Westbury2
1Unit for Medication Outcomes Research and Education, Division of Pharmacy, School of Medicine, University of Tasmania, Hobart, Australia.
This study developed an electronic system to accurately collect nursing home medication data from pharmacies, enabling national expansion of sedative reduction programs.
Area of Science:
- Gerontology
- Health Informatics
- Pharmacology
Background:
- Inappropriate sedative use in nursing homes is a long-standing issue.
- The Reducing Use of Sedatives (RedUSe) project aimed to reduce sedative use.
- Scalable data collection was needed to expand the RedUSe project nationally.
Purpose of the Study:
- To develop and evaluate an electronic method for national-scale data extraction and enrichment of psychotropic medication use in nursing homes.
Main Methods:
- An application extracted resident and medication data from community pharmacy systems.
- Medication codes were converted to Australian Medicines Terminology and Anatomical Therapeutic Chemical (ATC) codes.
- Antipsychotics and benzodiazepines were automatically identified, quantified, and validated online.
Main Results:
- Electronic data uploads were successful for 94.6% of nursing homes.
- An average of 15 minutes was required per pharmacy upload.
- Validation identified and corrected inaccuracies, with champion nurses spending less time than manual data entry.
Conclusions:
- The electronic data collection method is accurate and effective for national reporting of medication use.
- Validation steps successfully addressed data inaccuracies from pharmacy systems.
- This scalable method supports initiatives to reduce sedative use in nursing homes.
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