ArticleCancer nursing
Development of the Prostate Cancer Treatment Decision Framework: A Context-Specific Expansion of the Risk-as-Feelings Hypothesis.
Article in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Leveraging Machine Learning Models to Explore Disparities in Prostate Cancer Diagnosis, Treatment, and Survival.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
3 authors.
Funding
Abstract
backgroundOver the past 2 decades, numerous decision-making interventions have been developed to guide the prostate cancer (PrCA) treatment choices of patients and families. These interventions are often supported by economic decision frameworks, which do not account for the role of emotions in treatment decisions. In some instances, emotion-driven decisions can override an individual's cognitive evaluation of a decision, leading to unfavorable outcomes such as decision regret.
objectivesTo produce a Prostate Cancer Treatment Decision Framework based on the Risk-as-Feelings Hypothesis.
methodsThe authors reviewed seminal research in emotion and decision-making in an effort to create a context-specific decision framework.
resultsFive variables, not germane to the Risk-as-Feelings Hypothesis, play prominent roles in PrCA decision-making including age, spirituality, family support, healthcare provider communication, and perception of treatment outcomes. While family support only affects decision outcomes by influencing emotion and cognitive evaluation of a PrCA decision, age, spirituality, and healthcare provider communication can have direct effects on an individual's perception of treatment outcomes.
conclusionsThe Prostate Cancer Treatment Decision Framework combines new variables with older models to explain the PrCA treatment decision-making process and elucidate relationships affecting treatment outcomes and survivors' perceptions of these outcomes. The core premise of this model can be applied to other high-risk health decisions. IMPLICATIONS FOR PRACTICE: Healthcare providers have the greatest influence on PrCA treatment decision-making. Using a shared decision-making approach, providers should take into account a patient's personal characteristics and values, in addition to clinical presentation, to help patients with treatment decisions.
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