Laura M Perry1, Michael Hoerger1,2, Brittany D Korotkin1, Paul R Duberstein3. 1. Department of Psychology, Tulane University, New Orleans, LA, USA. 2. Tulane Cancer Center, Tulane University, New Orleans, LA, USA. 3. Department of Health Behavior, Society, and Policy, Rutgers School of Public Health, Piscataway, NJ, USA.
Abstract
PURPOSE: To examine whether adults with cancer view affective forecasting as important for treatment decisions, and to examine these perceptions among key subgroups. DESIGN: Adults with cancer (N = 376) completed a cross-sectional survey that included demographic and clinical characteristics, the IPIP five-factor personality measure, and a rating of the perceived importance of affective forecasting for cancer treatment decisions. Descriptive statistics characterized the importance of affective forecasting. Multivariate analyses examined whether health and personality variables were associated with affective forecasting importance. FINDINGS: Most participants (89.6%) identified affective forecasting as important for treatment decisions. Affective forecasting was more likely to be rated as important among patients with prostate cancer (p < .001), patients lower in neuroticism (p = .02), and patients higher in agreeableness (p = .004). Conclusions/Implications: Patients believe it is important to understand how treatments will impact their emotional well-being. Oncology clinicians should discuss with patients these consequences during healthcare decision-making.
PURPOSE: To examine whether adults with cancer view affective forecasting as important for treatment decisions, and to examine these perceptions among key subgroups. DESIGN: Adults with cancer (N = 376) completed a cross-sectional survey that included demographic and clinical characteristics, the IPIP five-factor personality measure, and a rating of the perceived importance of affective forecasting for cancer treatment decisions. Descriptive statistics characterized the importance of affective forecasting. Multivariate analyses examined whether health and personality variables were associated with affective forecasting importance. FINDINGS: Most participants (89.6%) identified affective forecasting as important for treatment decisions. Affective forecasting was more likely to be rated as important among patients with prostate cancer (p < .001), patients lower in neuroticism (p = .02), and patients higher in agreeableness (p = .004). Conclusions/Implications: Patients believe it is important to understand how treatments will impact their emotional well-being. Oncology clinicians should discuss with patients these consequences during healthcare decision-making.
Authors: Courtney J Stevens; Arielle S Gillman; Casey K Gardiner; Erika A Montanaro; Angela D Bryan; Mark Conner Journal: J Appl Soc Psychol Date: 2019-03-01
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