9 research outputs found

    Decision aids for localized prostate cancer in diverse minority men: Primary outcome results from a multicenter cancer care delivery trial (Alliance A191402CD)

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    Background: Decision aids (DAs) can improve knowledge for prostate cancer treatment. However, the relative effects of DAs delivered within the clinical encounter and in more diverse patient populations are unknown. A multicenter cluster randomized controlled trial with a 2×2 factorial design was performed to test the effectiveness of within-visit and previsit DAs for localized prostate cancer, and minority men were oversampled. Methods: The interventions were delivered in urology practices affiliated with the NCI Community Oncology Research Program Alliance Research Base. The primary outcome was prostate cancer knowledge (percent correct on a 12-item measure) assessed immediately after a urology consultation. Results: Four sites administered the previsit DA (39 patients), 4 sites administered the within-visit DA (44 patients), 3 sites administered both previsit and within-visit DAs (25 patients), and 4 sites provided usual care (50 patients). The median percent correct in prostate cancer knowledge, based on the postvisit knowledge assessment after the intervention delivery, was as follows: 75% for the pre+within-visit DA study arm, 67% for the previsit DA only arm, 58% for the within-visit DA only arm, and 58% for the usual-care arm. Neither the previsit DA nor the within-visit DA had a significant impact on patient knowledge of prostate cancer treatments at the prespecified 2.5% significance level (P =.132 and P =.977, respectively). Conclusions: DAs for localized prostate cancer treatment provided at 2 different points in the care continuum in a trial that oversampled minority men did not confer measurable gains in prostate cancer knowledge

    Clarifying quality of life assessment: Do theoretical models capture the underlying cognitive processes?

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    Objective To develop an analysis scheme capturing the cognitive processes underlying QoL assessment to increase our understanding on how to interpret responses to QoL items. Tourangeau et al.’s (The psychology of survey response, 2000) and Rapkin and Schwartz’ (Health Qual Life Outcomes 2:14, 2004) cognitive process models form the basis for this analysis scheme. Methods We conducted think aloud interviews with six cancer patients prior to and following radiotherapy to elicit the cognitive processes underlying the assessment of 7 EORTC QLQ-C30 items. Content analysis was carried out by two to four researchers independently. Eighty text fragments were analyzed inductively and combined in an iterative process with deductive analyses based on both models. Results We have developed a comprehensive analysis scheme feasible for analyzing the cognitive processes underlying QoL assessment qualitatively. All cognitive components of both models could be distinguished in our data. The cognitive component ‘reporting and response selection’ needed extension to fully capture the cognitive processes used. Conclusion The two models combined are useful in describing the cognitive processes cancer patients use in answering QoL items, and as such facilitate insight into patients’ self-reported QoL assessments. Interestingly, the content of the cognitive processes not only differed between patients but also between items within patients and over time

    Sex and age cohort differences in patterns of socioemotional functioning in older adults and their links to physical resilience

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