PURPOSE: Understanding patient perceptions of prescription drug risks and benefits is an important component of determining risk-benefit tradeoffs and helping patients make informed medication decisions. However, few validated measures exist for capturing such perceptions. The purpose of this study was to develop and validate measures of perception of prescription drug risk, efficacy, and benefit. METHODS: We conducted a mixed-methods study to develop and validate the measures, including three waves of quantitative testing (item nonresponse, criterion-related validity, and convergent validity). We conducted quantitative testing with a probability-based online consumer panel of U.S. adults (n = 7635), eliminating weaker items after each testing wave. RESULTS: Upon completion of all testing, we identified 21 validated measures that represent 11 distinct risk/benefit constructs. The final measures demonstrated face validity, convergent validity, criterion-related validity, and scale reliability in both illness and general population samples, among patients with both symptomatic and asymptomatic health conditions, and in response to both television and print direct-to-consumer prescription drug advertisements. CONCLUSIONS: Our study produced a set of items that researchers and practitioners can use to assess patient perceptions of prescription drug risk, benefit, and efficacy and to ensure greater future comparability between studies.
PURPOSE: Understanding patient perceptions of prescription drug risks and benefits is an important component of determining risk-benefit tradeoffs and helping patients make informed medication decisions. However, few validated measures exist for capturing such perceptions. The purpose of this study was to develop and validate measures of perception of prescription drug risk, efficacy, and benefit. METHODS: We conducted a mixed-methods study to develop and validate the measures, including three waves of quantitative testing (item nonresponse, criterion-related validity, and convergent validity). We conducted quantitative testing with a probability-based online consumer panel of U.S. adults (n = 7635), eliminating weaker items after each testing wave. RESULTS: Upon completion of all testing, we identified 21 validated measures that represent 11 distinct risk/benefit constructs. The final measures demonstrated face validity, convergent validity, criterion-related validity, and scale reliability in both illness and general population samples, among patients with both symptomatic and asymptomatic health conditions, and in response to both television and print direct-to-consumer prescription drug advertisements. CONCLUSIONS: Our study produced a set of items that researchers and practitioners can use to assess patient perceptions of prescription drug risk, benefit, and efficacy and to ensure greater future comparability between studies.
Authors: Liana Fraenkel; Marilyn Stolar; Jonathan R Bates; Richard L Street; Harjinder Chowdhary; Sarah Swift; Ellen Peters Journal: Med Decis Making Date: 2017-08-30 Impact factor: 2.583
Authors: Kathryn J Aikin; Helen W Sullivan; Suzanne Dolina; Molly Lynch; Linda B Squiers Journal: J Med Internet Res Date: 2017-07-04 Impact factor: 5.428
Authors: Brian G Southwell; Sarah A Parvanta; Mihaela M Johnson; Amie C O'Donoghue; Helen W Sullivan; Sarah E Ray; Cynthia S Soloe; Christine N Davis; Nancy McKenna Journal: Prev Med Rep Date: 2018-06-22