BACKGROUND: We conducted a randomized controlled trial to evaluate the effects of patient decision support Web sites on decision quality for men considering prostate cancer screening. METHODS:Men older than 50 years (N = 611) were randomly assigned to 1 of 4 Internet conditions: traditional didactic decision aid providing information about prostate-specific antigen (PSA) screening options and outcomes; chronic disease trajectory model for prostate cancer followed by a time-trade-off exercise; both the didactic decision aid and the chronic disease trajectory model; or links to public prostate cancer-specific Web sites from credible sources (control condition). Participants completed questionnaires at baseline and after their physical examination. Primary outcome measures were PSA test choice, prostate cancer treatment preferences, knowledge and concern about prostate cancer, and decisional conflict. RESULTS: Participants assigned to view public Web sites were less likely to review information (116 participants [76.8%] reviewed) than those assigned to experimental groups (399 [86.7%] reviewed; P = .004). Greater reductions in PSA screening from pretest to posttest were observed among participants assigned to the traditional decision aid (-9.1%) or chronic disease trajectory model (-8.7%), compared with participants assigned to the combination (-5.3%) or control (-3.3%) groups (P = .047). Preferences for watchful waiting increased significantly in all 4 groups (baseline, 219 [35.8%]; follow-up, 303 [66.2%]; P < .001). Knowledge scores were lowest for those assigned to public Web sites (mean [SD] score, 7.49 [0.19] of questions correct) and highest for the traditional decision aid (8.65 [0.18] of questions correct; P = .005). CONCLUSION: Public Web sites about prostate cancer provide less effective decision support than a specially designed Internet decision aid.
RCT Entities:
BACKGROUND: We conducted a randomized controlled trial to evaluate the effects of patient decision support Web sites on decision quality for men considering prostate cancer screening. METHODS:Men older than 50 years (N = 611) were randomly assigned to 1 of 4 Internet conditions: traditional didactic decision aid providing information about prostate-specific antigen (PSA) screening options and outcomes; chronic disease trajectory model for prostate cancer followed by a time-trade-off exercise; both the didactic decision aid and the chronic disease trajectory model; or links to public prostate cancer-specific Web sites from credible sources (control condition). Participants completed questionnaires at baseline and after their physical examination. Primary outcome measures were PSA test choice, prostate cancer treatment preferences, knowledge and concern about prostate cancer, and decisional conflict. RESULTS:Participants assigned to view public Web sites were less likely to review information (116 participants [76.8%] reviewed) than those assigned to experimental groups (399 [86.7%] reviewed; P = .004). Greater reductions in PSA screening from pretest to posttest were observed among participants assigned to the traditional decision aid (-9.1%) or chronic disease trajectory model (-8.7%), compared with participants assigned to the combination (-5.3%) or control (-3.3%) groups (P = .047). Preferences for watchful waiting increased significantly in all 4 groups (baseline, 219 [35.8%]; follow-up, 303 [66.2%]; P < .001). Knowledge scores were lowest for those assigned to public Web sites (mean [SD] score, 7.49 [0.19] of questions correct) and highest for the traditional decision aid (8.65 [0.18] of questions correct; P = .005). CONCLUSION: Public Web sites about prostate cancer provide less effective decision support than a specially designed Internet decision aid.
Authors: Barak Gaster; Kelly Edwards; Susan Brown Trinidad; Thomas H Gallagher; Clarence H Braddock Journal: Ann Intern Med Date: 2010-11-16 Impact factor: 25.391
Authors: Carmen L Lewis; Jared Adams; Ming Tai-Seale; Qiwen Huang; Sarah B Knowles; Matthew E Nielsen; Michael P Pignone; Louise C Walter; Dominick L Frosch Journal: J Gen Intern Med Date: 2015-02-10 Impact factor: 5.128
Authors: Meghan C Halley; Katharine A S Rendle; Katherine A Gillespie; Katherine M Stanley; Dominick L Frosch Journal: Health Expect Date: 2014-09-29 Impact factor: 3.377
Authors: Reka Pataky; Roman Gulati; Ruth Etzioni; Peter Black; Kim N Chi; Andrew J Coldman; Tom Pickles; Scott Tyldesley; Stuart Peacock Journal: Int J Cancer Date: 2014-02-04 Impact factor: 7.396
Authors: Caroline S Dorfman; Randi M Williams; Elisabeth C Kassan; Sara N Red; David L Dawson; William Tuong; Elizabeth R Parker; Janet Ohene-Frempong; Kimberly M Davis; Alexander H Krist; Steven H Woolf; Marc D Schwartz; Mary B Fishman; Carmella Cole; Kathryn L Taylor Journal: BMC Med Inform Decis Mak Date: 2010-03-03 Impact factor: 2.796
Authors: Rhodri Evans; Natalie Joseph-Williams; Adrian Edwards; Robert G Newcombe; Patricia Wright; Paul Kinnersley; Jeff Griffiths; Mari Jones; Janet Williams; Richard Grol; Glyn Elwyn Journal: J Med Internet Res Date: 2010-08-06 Impact factor: 5.428