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Identifying potentially inappropriate prescribing in entire populations: Coding the STOPP-START and Beers criteria for use with large, routinely collected population health datasets
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DOI：10.1016/j.jclinepi.2025.112019.png)
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Abstract
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Adverse medication events significantly contribute to emergency department visits, unplanned hospitalizations, and in-hospital morbidity and mortality, particularly in older adults. Identifying potentially inappropriate prescribing is essential to improve safety, care quality, and medication management. The objective of this study was to identify and codify the STOPP-START and Beers criteria for large, population-level health databases to detect potentially inappropriate prescribing at the population level.
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