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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.
The Analgesic Adverse Drug Event Measure (AADEM) was validated to assess patient responses to analgesic side effects. This tool helps healthcare providers understand and potentially prevent future adverse drug events.
Area of Science:
- Pharmacovigilance
- Patient Safety
- Health Measurement
Background:
- Analgesic adverse drug events (ADEs) are common and impact patient outcomes.
- Measuring patient responses to analgesic ADEs is crucial for understanding their experiences.
- The Analgesic Adverse Drug Event Measure (AADEM) was developed to capture these responses.
Purpose of the Study:
- To confirm the construct validity of the Analgesic Adverse Drug Event Measure (AADEM).
- To validate the underlying factors of the AADEM: attributed ADE, consulted provider, sought care, and analgesic continuation/discontinuation.
Main Methods:
- Cross-sectional instrumentation design.
- Online survey administration of the AADEM to 332 adults reporting analgesic ADEs.
- Confirmatory factor analysis and reliability testing were performed.
Main Results:
- Adequate model fit was observed across all indexes.
- Low internal consistency for the full AADEM, but generally acceptable subscale consistency.
- Significant correlations between latent factors influenced reliability.
Conclusions:
- The study supported the construct validity of the AADEM.
- Advanced practice nurses and primary care providers can utilize the AADEM.
- The AADEM offers insights to help prevent future analgesic ADEs.
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