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Confirmatory Factor Analysis of the Analgesic Adverse Drug Event Measure
Deborah Dillon McDonald1, Yiming Zhang2, Batool Almasri3
1Associate Professor Emeritus, University of Connecticut, Storrs, CT, USA Deborah.mcdonald@uconn.edu.
Abstract:
Background and Purpose: The Analgesic Adverse Drug Event Measure (AADEM) measures how people respond when they experience analgesic adverse drug events (ADEs). The purpose of this study was to confirm the underlying constructs of the AADEM: attributed ADE, consulted provider, sought care, and continued/discontinued analgesic. Methods: A cross-sectional instrumentation design was used. Three hundred and thirty-two adults who self-reported an analgesic ADE responded to the online AADEM. Confirmatory factor analysis and reliability testing were conducted. Results: Model fit was adequate across all indexes. Internal consistency for the full AADEM was low, while subscale internal consistency was generally acceptable probably due to three significant negative correlations and two positive correlations between the latent factors. Conclusions: The results supported the construct validity of the AADEM. Advanced practice nurses and other primary care providers can use the AADEM to investigate analgesic ADEs. Greater insight into how people respond to an analgesic ADE via the use of the AADEM may help prevent future analgesic ADEs.
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