10 research outputs found

    Patient and stakeholder engagement learnings: PREP-IT as a case study

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    Patient-Reported Nasal Function and Appearance After Interpolation Flap Repair Following Skin Cancer Resection: A Multicenter Prospective Cohort Study

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    Among patients undergoing two-stage interpolated flap repair of nasal defects, nasal function, and appearance before surgery and at 16 weeks after flap takedown were compared using the Nasal Appearance and Function Evaluation Questionnaire (NAFEQ). Multicenter prospective cohort study. Adult patients with a nasal skin cancer anticipated to require two-stage interpolation flap repair completed the NAFEQ before surgery, at 1 week after flap placement, 4 weeks after flap takedown, and 16 weeks after flap takedown. One hundred sixty-nine patients were enrolled, with 138 patients completing both presurgical and 16-week post-takedown NAFEQs. Overall NAFEQ score increased by 1.09 points (1.91% improvement, confidence interval [95% CI -0.34 to 2.53]). NAFEQ functional subscale increased by 0.72 points (2.58% increase; 95% CI [0.10-1.35]) and appearance subscale increased by 0.37 points (1.28% improvement, 95% CI [-0.65 to 1.39]). At 16 weeks after flap takedown, patients\u27 perceptions of their nasal function and appearance are similar to or slightly improved when compared with their presurgical assessments

    North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends

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    Measuring the Semantic Priming Effect Across Many Languages

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    Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages

    Implementing stakeholder engagement to explore alternative models of consent: An example from the PREP-IT trials

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    Introduction: Cluster randomized crossover trials are often faced with a dilemma when selecting an optimal model of consent, as the traditional model of obtaining informed consent from participant's before initiating any trial related activities may not be suitable. We describe our experience of engaging patient advisors to identify an optimal model of consent for the PREP-IT trials. This paper also examines surrogate measures of success for the selected model of consent. Methods: The PREP-IT program consists of two multi-center cluster randomized crossover trials that engaged patient advisors to determine an optimal model of consent. Patient advisors and stakeholders met regularly and reached consensus on decisions related to the trial design including the model for consent. Patient advisors provided valuable insight on how key decisions on trial design and conduct would be received by participants and the impact these decisions will have. Results: Patient advisors, together with stakeholders, reviewed the pros and cons and the requirements for the traditional model of consent, deferred consent, and waiver of consent. Collectively, they agreed upon a deferred consent model, in which patients may be approached for consent after their fracture surgery and prior to data collection. The consent rate in PREP-IT is 80.7%, and 0.67% of participants have withdrawn consent for participation. Discussion: Involvement of patient advisors in the development of an optimal model of consent has been successful. Engagement of patient advisors is recommended for other large trials where the traditional model of consent may not be optimal
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