Introduction: Older adults with cancer facing competing treatments must prioritize between various outcomes. This study assessed health outcome prioritization among older adults with cancer starting chemotherapy.
Methods: Secondary analysis of a randomized trial addressing vulnerabilities in older adults with cancer.
Unlabelled: The Geriatrics 5Ms: Medications, Mind, Mobility, what Matters most and Multicomplexity is a framework to address the complex needs of older adults. Intelligent Voice Assistants (IVAs) are increasingly popular and have potential to support health-related needs of older adults. We utilized previously collected qualitative data on older adults' views of how an IVA may address their health-related needs and ascertained their fit into the Geriatrics 5Ms framework.
View Article and Find Full Text PDFVoice-based Intelligent Virtual Assistants (IVAs) promise to improve healthcare management and Quality of Life (QOL) by introducing the paradigm of hands-free and eye-free interactions. However, there has been little understanding regarding the challenges for designing such systems for older adults, especially when it comes to healthcare related tasks. To tackle this, we consider the processes of care delivery and QOL enhancements for older adults as a collaborative task between patients and providers.
View Article and Find Full Text PDFImportance: Although geriatric assessment-driven intervention improves patient-centered outcomes, its influence on chemotherapy-related toxic effects remains unknown.
Objective: To assess whether specific geriatric assessment-driven intervention (GAIN) can reduce chemotherapy-related toxic effects in older adults with cancer.
Design, Setting, And Participants: A randomized clinical trial enrolled 613 participants from a National Cancer Institute-designated cancer center between 2015 and 2019.
Proc 3rd Conf Conversat User Interfaces CUI 2021 (2021)
July 2021
Ecological momentary assessment (EMA) is used to evaluate subjects' behaviors and moods in their natural environments, yet collecting real-time and self-report data with EMA is challenging due to user burden. Integrating voice into EMA data collection platforms through today's intelligent virtual assistants (IVAs) is promising due to hands-free and eye-free nature. However, efficiently managing conversations and EMAs is non-trivial and time consuming due to the ambiguity of the voice input.
View Article and Find Full Text PDFWe evaluated the feasibility, reliability, and validity of a Spanish-language self-administered geriatric assessment (GA) in older (age ≥ 65) Spanish-speaking women with breast cancer in the United States. Eligible participants ( = 181) were recruited and randomized. Feasibility was defined as the participant's unassisted GA completion rate, completion time, and perception on ease of completion.
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