• Med Decis Making · Oct 2014

    Randomized Controlled Trial

    Decision aid influences on factors associated with patient empowerment prior to cancer treatment decision making.

    • Dana L Alden.
    • University of Hawai'i at Manoa, Honolulu, HI, USA (DLA) dalden@hawaii.edu.
    • Med Decis Making. 2014 Oct 1; 34 (7): 884-98.

    BackgroundDespite progress, models that incorporate antecedent and mediating factors associated with shared decision making (SDM)-related outcomes remain limited. An experimental study tests patient decision aid (DA) effects on a network of antecedents and mediators associated with patient empowerment prior to a medical decision-making consultation regarding cancer treatment.MethodsA pilot study initially evaluated measurement scales, model fit, and the overall effect of the DA experience. The pilot compared matched treatment and control group samples of US adult online panel members exposed to a vignette about meeting their dermatologist to decide on skin cancer treatment. The treatment group also experienced a skin cancer DA with treatment options and value clarification activity, while the control group did not. The main study employed a randomized experimental design to formally test hypothesized path coefficients across the groups.ResultsThe pilot study suggested an overall enhanced DA effect on self-empowerment. In the experimental study, the DA experience strengthened the direct path from desire for medical information to self-empowerment and the indirect path from comprehension/participation confidence to self-empowerment through cancer attitude. The DA had no strengthening effect on the direct path from life satisfaction to self-empowerment, but in the DA condition, the factor appeared to play a role by contributing to the enhanced association between confidence and cancer attitude.ConclusionEvidence from this research indicates that experiencing a DA prior to treatment decision making affects patient empowerment through a network that includes desire for information, life satisfaction, and multiple mediators. The studies also demonstrate the role that theory-based, multigroup structural equation modeling (SEM) can play in increasing understanding of DA effects. Such understanding is critical to improving SDM between patients and their physicians.© The Author(s) 2014.

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