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As one of the first attempts to research multimedia platforms for older adults when learning an online photo-editing software, this study examined whether an audio only, a text only, or a combination of an audio and text tutorial would be the most effective teaching method. Elderly adults aged 65 and

As one of the first attempts to research multimedia platforms for older adults when learning an online photo-editing software, this study examined whether an audio only, a text only, or a combination of an audio and text tutorial would be the most effective teaching method. Elderly adults aged 65 and older (N-45) were randomly assigned to one of the three conditions. They first went through a training phase that utilized their assigned condition to teach five tasks within the photo-editing program, and they were then tested on how well they learned these tasks as well as a transfer task. It was predicted that the multimedia condition would increase learning efficiency, produce more successes in the transfer task, and decrease cognitive load compared to the two unimodal conditions. The multimedia condition (text and audio) had no significant effect on transfer task successes or decreases in cognitive load compared to the unimodal conditions (text only and audio only). The multimedia condition, however, did produce significantly less errors on Tasks 2, 4, and 5 than the unimodal conditions. This suggests that redundancy principles may play an important role when designing learning platforms for elderly users, and that age needs to be considered as an additional factor during the technological design process.
ContributorsSwieczkowski, Hannah Elizabeth (Author) / Atkinson, Robert (Thesis director) / Chavez, Helen (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description

Ineffective transitional care programs for ensuring the continuation of care from acute settings to the home settings post discharge can result in rehospitalization of elderly patients with chronic diseases. Usually, transitional care should be time-sensitive, patient-centered services intended to ensure continuity of care and an efficient transition between health care

Ineffective transitional care programs for ensuring the continuation of care from acute settings to the home settings post discharge can result in rehospitalization of elderly patients with chronic diseases. Usually, transitional care should be time-sensitive, patient-centered services intended to ensure continuity of care and an efficient transition between health care settings or home. A patient centered transitional care program was implemented at an outpatient primary care facility to reduce readmission rates. Institutional Review Board approval was obtained.

Twenty adult patients with chronic diseases discharged from an acute setting were identified. A follow up phone call and/or a home visit within 24-72 hours post discharge was employed. The Care Transitions Measure (CTM®) and Medication Discrepancy Tool (MDT®) were utilized to identify quality of care of transition and medication discrepancies. A chart audit collected data on the age of participant, diagnosis for initial hospitalization, CTM score, home visit, and ED visits or re-hospitalizations after 30 days of discharge. The outcome indicated that transitional care within primary care utilizing evidence-based practices is beneficial in reducing readmission rates. A logistic regression showed model significance, p = .002, suggesting that the CTM score was effective for both telephone support (TS) and home visit (HV).

A correlation analysis showed that as age of participants increased, the CTM score decreased, indicating that older adults required more support. A significance p <.001, of a proportional test indicated that readmission rates after the intervention was lower. It is evident that providing a timely and effective transitional care intervention in a primary care setting can reduce hospital readmissions, improve symptom management and quality of life of adult patients with chronic diseases.

ContributorsAnnor, Wilhelmina Sagoe (Author) / Baker, Laurie (Thesis advisor)
Created2020-05-05
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Description
Loneliness and depression in older adults are under-recognized public health concerns that increase risks for all-cause mortality, medical morbidity, and rising healthcare costs. This quality improvement project assessed whether smartphone Mindfulness software mitigated self-reported feelings of loneliness and depression among community-dwelling older adults. Nine participants aged 65 and older, living

Loneliness and depression in older adults are under-recognized public health concerns that increase risks for all-cause mortality, medical morbidity, and rising healthcare costs. This quality improvement project assessed whether smartphone Mindfulness software mitigated self-reported feelings of loneliness and depression among community-dwelling older adults. Nine participants aged 65 and older, living at home, experiencing loneliness or depression, and owning a smartphone were recruited using newsletters and fliers. A short demographics questionnaire and two valid and reliable instruments, namely the University of California Los Angeles Loneliness Scale (UCLA V3) and Geriatric Depression Scale (GDS), were used in pre-intervention and four weeks post-intervention. Participants downloaded the UCLA Mindful app on their smartphones after attending a 20-minute Mindfulness education at a local church banquet room. Participants used the UCLA Mindful software twice weekly for ten minutes for four weeks. Of the nine participants, three completed the study. A two-tailed paired sample t-test and descriptive analysis were used to evaluate the efficacy of the UCLA Mindful smartphone software. The results of the two-tailed paired sample t-test were not statistically significant for the UCLA V3 Loneliness scale (p=.220) and GDS (p=.208) due to the small sample size. Although the results were negligible, participants nevertheless reported favorable impacts. Future research with a larger sample size is encouraged.
ContributorsMurdock, J. Kristine (Author) / Guthery, Ann (Thesis advisor) / College of Nursing and Health Innovation (Contributor)
Created2023-04-26
ContributorsMousa, Ibrahim (Author) / Osburn, Steven (Thesis director) / Turczan, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
ContributorsMousa, Ibrahim (Author) / Osburn, Steven (Thesis director) / Turczan, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
Description
Wave of Wellness is a mobile application meticulously designed to bridge the gap between technology and healthcare, focusing on enhancing the quality of life for the elderly and their caregivers. The app is embedded with the capability to monitor and track vital signs and biometric data, utilizing integrated sensors to

Wave of Wellness is a mobile application meticulously designed to bridge the gap between technology and healthcare, focusing on enhancing the quality of life for the elderly and their caregivers. The app is embedded with the capability to monitor and track vital signs and biometric data, utilizing integrated sensors to provide real-time health insights. The primary objective of this project is to explore and answer the pivotal question: How can technology be utilized to uplift the living standards of the elderly and caregivers? This is achieved by promoting independence among the elderly, averting unnecessary hospitalizations, and offering valuable health data that can be crucial in medical interventions and lifestyle adjustments.
ContributorsMousa, Ibrahim (Author) / Osburn, Steven (Thesis director) / Turczan, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
ContributorsMousa, Ibrahim (Author) / Osburn, Steven (Thesis director) / Turczan, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
ContributorsMousa, Ibrahim (Author) / Osburn, Steven (Thesis director) / Turczan, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
ContributorsMousa, Ibrahim (Author) / Osburn, Steven (Thesis director) / Turczan, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12