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Browsing by Author "Chippendale, Tracy L"
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Item Postoperative Delirium Prevention as Standard Practice in Occupational Therapy in Acute Care(2020) Lee, Chang Dae; Chippendale, Tracy L; McLeaming, LizPostoperative delirium (POD) is common, especially among older adults, and can significantly impact health and rehabilitation outcomes. Research evidence suggests that a multicomponent intervention is most effective for delirium prevention. Given that this intervention includes diverse components, interdisciplinary collaboration among members of the healthcare team is essential. This paper presents how occupational therapists, as part of the interdisciplinary acute care team, contribute to preventing POD and embed their unique value, skills, and strengths in each component of the collaborative intervention. This paper also argues that POD preventive care should be standard practice for occupational therapy in the acute care setting.Item Understanding the travel challenges and gaps for older adults during the COVID-19 outbreak: Insights from the New York City area(2023-05-19) Gao, Jingqin; Lee, Chang Dae; Ozbay, Kaan; Zuo, Fan; Chippendale, Tracy LThe COVID-19 pandemic has greatly impacted lifestyles and travel patterns, revealing existing societal and transportation gaps and introducing new challenges. In the context of an aging population, this study investigated how the travel behaviors of older adults (aged 60+) in New York City were affected by COVID-19, using an online survey and analyzing younger adult (aged 18–59) data for comparative analysis. The purpose of the study is to understand the pandemic's effects on older adults’ travel purpose and frequency, challenges faced during essential trips, and to identify potential policies to enhance their mobility during future crises. Descriptive analysis and Wilcoxon signed-rank tests were used to summarize the changes in employment status, trip purposes, transportation mode usage, and attitude regarding transportation systems before and during the outbreak and after the travel restrictions were lifted. A Natural Language Processing model, Gibbs Sampling Dirichlet Multinomial Mixture, was adopted to open-ended questions due to its advantage in extracting information from short text. The findings show differences between older and younger adults in telework and increased essential-purpose trips (e.g., medical visits) for older adults. The pandemic increased older adults’ concern about health, safety, comfort, prices when choosing travel mode, leading to reduced transit use and walking, increased driving, and limited bike use. To reduce travel burdens and maintain older adults' employment, targeted programs improving digital skills (telework, telehealth, telemedicine) are recommended. Additionally, safe, affordable, and accessible transportation alternatives are necessary to ensure mobility and essential trips for older adults, along with facilitation of walkable communities.