The recently developed Medical Maximizer-Minimizer Scale (MMS) assesses individual differences in preferences for active v. passive medical treatment. We hypothesized that men's maximizing-minimizing preferences might have relevance in the case of prostate-specific antigen (PSA) screening, since there is considerable variability in men's preference for being screened even among men who are informed that harm is more likely than benefit. The current research examined whether MMS preferences predict how men respond to didactic information and narrative stories about PSA screening.
US men 40+ years old ( N = 1208) participated in an online survey. Men viewed information about PSA screening in 3 phases and provided their preference for screening after each phase. Phase 1 described what PSA screening is. Phase 2 added didactic information about screening risks and benefits. Phase 3 added narrative stories; men were randomized to receive stories about 1) physical harm, 2) emotional harm, 3) overdiagnosis, or 4) all 3 stories. Participants also completed the validated MMS.
After receiving basic information, 76.8% of men wanted PSA screening. After receiving information about risks and benefits, 54.8% wanted screening (a significant reduction, P < 0.001). Men who changed their preferences were significantly more likely to be minimizers than maximizers; most men with maximizing tendencies wanted screening after both the didactic information and narratives, whereas most men with minimizing tendencies did not want the test after receiving information.
Men who prefer a more minimizing approach to medicine are more responsive to evidence supporting limiting or forgoing screening than men who prefer a maximizing approach.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 July 2018.
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#16,376,809
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Outputs of similar age from Medical Decision Making
#9
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