Development of the Adverse Analgesic Drug Event Measure.
| Autor: | McDonald DD; Deborah Dillon McDonald, PhD, RN, is Associate Professor, School of Nursing, University of Connecticut, Storrs. Yiming Zhang, MS, is Graduate Student, Department of Statistics, University of Connecticut, Storrs. Conor Ward, BS, is Nursing Student, Massachusetts General Hospital Institute of Health Professions, Boston., Ward C, Zhang Y |
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| Jazyk: | angličtina |
| Zdroj: | Nursing research [Nurs Res] 2020 Jul/Aug; Vol. 69 (4), pp. 299-306. |
| DOI: | 10.1097/NNR.0000000000000427 |
| Abstrakt: | Background: Little is known about how people respond to an analgesic adverse drug event despite the significant incidence of deaths and hospitalizations associated with analgesic adverse drug events. Objective: The purpose of this two-phase instrument development study was to test the validity and reliability of the Analgesic Adverse Drug Event Measure (AADEM). Methods: Content validity was established during Phase I. Six experts rated the 58-item measure developed from a pilot survey of adults who had experienced an analgesic adverse drug event. Experts' ratings supported a 17-item AADEM with a scale content validity index of .86. Phase II consisted of online administration of the AADEM to a national Qualtrics panel who reported an adverse drug event from a self-administered analgesic. Exploratory factor analysis was conducted using principal axis factoring and oblique rotation including Direct Oblimin and Promax rotations with Kaiser normalization. Results: Four factors emerged from the analysis: sought care, consulted provider, discontinued or continued analgesic, and attributed adverse drug event with a total explained variance of 55.4%. Scale content validity index for the 13-item AADEM was .88. Internal consistency for the four subscales was acceptable, but low for the full 13-item AADEM. Discussion: Results establish preliminary evidence for the validity and reliability of the 13-item AADEM to measure response to an analgesic adverse drug event. Next steps involve confirmatory factor analysis in a different sample to examine the underlying construct of the AADEM. The AADEM might help identify people at risk for serious analgesic adverse drug events. |
| Databáze: | MEDLINE |
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