title: Development of the Older Adult Prescription Drug Assessment Questionnaire for Case Workers.
abstract: Instruments assessing geriatric case managers' perceptions of prescription abuse are limited. Based on a review of current literature and pilot testing feedback, 22 items were initially assembled to form an older adult Prescription Drug Assessment Questionnaire (PDAQ). Case managers ( N = 161) at an older adult agency located in a Midwestern state were surveyed using the instrument. Data were subjected to exploratory factor analysis using principal axis factoring (PAF) and Promax rotation, and Horn's parallel analysis determined the number of extracted factors. PAF generated a final 11-item three-factor model accounting for 51% of total variance explained: Standard Assessment (Factor 1; four items; ∞ = .83), Assessment Belief (Factor 2; three items; ∞ = .74), and Problem Scope (Factor 3; four items; ∞ = .62). The older adult PDAQ is a brief, data-driven instrument with acceptable psychometric properties for assessing perceptions of prescription drug abuse and misuse assessment and counseling.
authors.affiliation: 1 University of Kentucky, Lexington, KY, USA.
authors.forename: Natalie D
authors.initials: ND
authors.lastname: Pope
authors.affiliation: 2 Malone University, Canton, OH, USA.
authors.forename: Karen L
authors.initials: KL
authors.lastname: Slovak
authors.affiliation: 1 University of Kentucky, Lexington, KY, USA.
authors.forename: Jarod T
authors.initials: JT
authors.lastname: Giger
mesh_terms: D000328:Adult; D000368:Aged; D019090:Case Management; D005163:Factor Analysis, Statistical; D005260:Female; D005853:Geriatrics; D006801:Humans; D008297:Male; D008875:Middle Aged; D063487:Prescription Drug Misuse; D055553:Prescription Drugs; D011594:Psychometrics; D019966:Substance-Related Disorders / Q000517:prevention & control; D011795:Surveys and Questionnaires; D055815:Young Adult
chemical_list: D055553:Prescription Drugs
keywords: geriatric case managers; instrument development; prescription drug misuse