9 results on '"Erica Dove"'
Search Results
2. Co-Creating Socio-Culturally-Appropriate Virtual Geriatric Care for Older Adults Living With HIV: A Community-Based Participatory, Intersectional Protocol
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Kristina M. Kokorelias, Marina B. Wasilewski, Ashley Flanagan, Alice Zhabokritsky, Hardeep Singh, Erica Dove, Andrew D. Eaton, Dean Valentine, Christine L. Sheppard, Reham Abdelhalim, Rabea Parpia, Rahel Zewude, Laura Jamieson, Anna Grosse, Sharon Walmsley, Paige Brown, and Luxey Sirisegaram
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Social sciences (General) ,H1-99 - Abstract
The aging cohort of persons living with human immunodeficiency virus (HIV) in Canada has reached a critical point, with nearly half now 50 years age or older. Older persons living with HIV have specific needs which can be effectively addressed by geriatric specialists. However, the recognition of HIV care as a domain of geriatrics is recent, resulting in a lack of clinical recommendations and modern care models for delivering geriatric care to this population. Virtual care has been demonstrated to reduce existing barriers to accessing HIV care in some populations but before it can be adapted to geriatric HIV care a critical first step is to acknowledge and understand disparities in socioeconomic circumstances, technology access and ability and cultural differences in experiences. This protocol marks the initial step in a comprehensive program of research aimed at co-designing, implementing, and evaluating culturally-appropriate virtual geriatric care for diverse older adults living with HIV. The study employs qualitative methods with older adults living with HIV to lay the groundwork, to inform the future development of a virtual model of geriatric care. We will explore the perspectives of diverse groups of older persons with HIV on (1) The value and necessity of culturally-tailored virtual interventions for geriatric HIV care; and (2) Recommendations on how best to engage older persons with HIV in the future co-design of a virtual model of geriatric HIV care. Ultimately, a more culturally-appropriate approach to care will foster a more inclusive and supportive healthcare system for all individuals affected by HIV including those who are aging. Researchers can utilize this research protocol to employ qualitative co-design and participatory methods with diverse older adults living with HIV.
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- 2023
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3. Automated recognition of individual performers from de-identified video sequences
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Zizui Chen, Stephen Czarnuch, Erica Dove, and Arlene Astell
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Human identification ,Differentiation ,Discrimination ,Depth image processing ,Skeleton data ,Privacy ,Cybernetics ,Q300-390 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Identification of individual humans from RGB image data is well-established. However, in many domains, such as in healthcare or applications involving children, ethical issues have been raised around using traditional RGB image data because individuals can be identified from these data. The widespread availability of reliable depth data, and the associated human skeleton data derived from these data, presents an opportunity to differentiate between individuals while potentially avoiding individually identifiable features.Using skeleton data only, we developed a unique 20-dimensional bone segment length feature vector for 1,761 trials (1,759,980 image frames) of data, captured from 14 participants who engaged in a one-hour group intervention playing Xbox One Kinect Bowling twice-weekly for 24 weeks. We then evaluated our novel feature using representative batch processing (k-nearest neighbour) and real-time (multi-layer perceptron) models, validated against manually-labelled ground-truth data. Our results suggest that our skeleton feature can differentiate between instances (i.e., individuals) with an accuracy over all participants of 100% for batch processing and 96.57% in real-time, and deals well with class imbalances. Our results suggest that we can reliably differentiate between individual persons using only skeleton data derived from depth image data in medical research.
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- 2023
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4. Gross and applied anatomy pedagogical approaches in occupational therapy education: protocol for a scoping review
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Emily S Ho, Anne Agur, Andrea Duncan, Erica Dove, Kelly Hennessy, Athena Kirou-Mauro, and Lorna Aitkens
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Medicine - Published
- 2022
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5. System Development Guidelines From a Review of Motion-Based Technology for People With Dementia or MCI
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Arlene J. Astell, Stephen Czarnuch, and Erica Dove
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dementia ,mild cognitive impairment ,motion-based technology ,system design ,design guidelines ,Psychiatry ,RC435-571 - Abstract
As the population ages and the number of people living with dementia or mild cognitive impairment (MCI) continues to increase, it is critical to identify creative and innovative ways to support and improve their quality of life. Motion-based technology has shown significant potential for people living with dementia or MCI by providing opportunities for cognitive stimulation, physical activity and participation in meaningful leisure activities, while simultaneously functioning as a useful tool for research and development of interventions. However, many of the current systems created using motion-based technology have not been designed specifically for people with dementia or MCI. Additionally, the usability and accessibility of these systems for these populations has not been thoroughly considered. This paper presents a set of system development guidelines derived from a review of the state of the art of motion-based technologies for people with dementia or MCI. These guidelines highlight three overarching domains of consideration for systems targeting people with dementia or MCI: (i) cognitive, (ii) physical, and (iii) social. We present the guidelines in terms of relevant design and use considerations within these domains and the emergent design themes within each domain. Our hope is that these guidelines will aid in designing motion-based software to meet the needs of people with dementia or MCI such that the potential of these technologies can be realized.
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- 2018
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6. Working towards inclusion : Creating technology for and with people living with mild cognitive impairment or dementia who are employed
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Arlene Astell, Karan Shastri, Ann-Charlotte Nedlund, Louise Nygård, Erica Dove, Sheida Marashi, Jennifer Boger, and Anna Mäki-Petäjä-Leinonen
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Gerontology ,Participatory methods ,Technology ,Sociology and Political Science ,early-onset dementia ,03 medical and health sciences ,0302 clinical medicine ,mild cognitive impairment ,mental disorders ,medicine ,Dementia ,Humans ,Cognitive Dysfunction ,Gerontologi, medicinsk/hälsovetenskaplig inriktning ,Use of technology ,Gerontology, specialising in Medical and Health Sciences ,10. No inequality ,Cognitive impairment ,Early onset dementia ,Design technology ,030504 nursing ,General Social Sciences ,General Medicine ,Articles ,medicine.disease ,workplace ,Workforce ,user-centred design ,0305 other medical science ,Psychology ,Inclusion (education) ,030217 neurology & neurosurgery ,technology - Abstract
Earlier diagnosis and longer working careers is resulting in more individuals being identified as having Mild Cognitive Impairment or Early Onset Dementia (MCI/EOD) when they are still in the workforce. While there is growing interest in the dementia research community and beyond to develop technologies to support people with dementia, the use of technology for and by people with MCI/EOD in the workplace has had very little attention. This paper presents a two-part study involving interviews and participatory sessions to begin to understand the workplace experiences and the role of technology among people living with MCI/EOD. We present our findings from working with seven people with MCI/EOD and two care partners to explore technology design. Our results indicate several similarities as well as a few differences between MCI/EOD and later-onset dementia with respect to challenges using technology and design considerations for supporting engagement and use of technology. Lessons learned through the process of working with people with MCI/EOD through participatory methods is presented along with recommendations to foster an inclusive, respectful, and empowering experience for participants with MCI/EOD. Funding Agencies|JTC 2017 as part of the Joint Programming Initiative (JPI) "More Years, Better Lives" (JPI MYBL) initiative; J-Age II - Horizon 2020, the EU Framework Program for Research and Innovation [643850]
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- 2022
7. Using the TUNGSTEN approach to co-design DataDay: a self-management app for dementia
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Erica Dove, Chris Morland, Arlene Astell, Steve Donovan, Brankaert, Rens, and Kenning, Gail
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Co-design ,education.field_of_study ,Self-management ,Multimedia ,Computer science ,Family caregivers ,Interface (computing) ,Population ,medicine.disease ,computer.software_genre ,medicine ,Dementia ,User needs ,education ,computer - Abstract
This chapter briefly describes a co-design project with people living with dementia, family care partners and clinical teams to create DataDay—a self-management app with an accompanying memory services portal. The project utilised the Tools for User Needs Gathering to Sustain Technology ENgagement (TUNGSTEN) approach of working with the users of technology as experts. Over seven months, four interactive sessions took place examining interactions with smart devices, current device and app use, and prototyping the DataDay interface and portal. This chapter focuses on the co-design sessions with people living with dementia and family caregivers and illustrates the benefits of the TUNGSTEN approach for co-designing with this population.
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- 2020
8. Impacts of motion-based technology on balance, movement confidence, and cognitive function among people With dementia or mild cognitive impairment: protocol for a quasi-experimental pre- and posttest study
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Erica Dove, Arlene Astell, Karl Zabjek, and Rosalie H. Wang
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cognition ,medicine.medical_specialty ,Population ,Visual impairment ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Context (language use) ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,mild cognitive impairment ,cognitive dysfunction ,Intervention (counseling) ,medicine ,Protocol ,Dementia ,030212 general & internal medicine ,education ,postural balance ,education.field_of_study ,Montreal Cognitive Assessment ,Cognition ,General Medicine ,medicine.disease ,motion-based technology ,movement confidence ,Medicine ,medicine.symptom ,Psychology ,Exercise Movement Techniques ,exercise movement techniques ,030217 neurology & neurosurgery ,dementia - Abstract
Background While exercise can benefit the health and well-being of people with dementia or mild cognitive impairment, many exercise programs offered to this population are passive, unengaging, and inaccessible, resulting in poor adherence. Motion-based technologies are increasingly being explored to encourage exercise participation among people with dementia or mild cognitive impairment. However, the impacts of using motion-based technologies with people with dementia or mild cognitive impairment on variables including balance, movement confidence, and cognitive function have yet to be determined. Objective The purpose of this study is to examine the impacts of a group motion-based technology intervention on balance, movement confidence, and cognitive function among people with dementia or mild cognitive impairment. Methods In this quasi-experimental pre- and posttest design, we will recruit 24 people with dementia or mild cognitive impairment from 4 adult day programs and invite them to play Xbox Kinect bowling in a group setting, twice weekly for 10 weeks. We will require participants to speak and understand English, be without visual impairment, and be able to stand and walk. At pretest, participants will complete the Mini-Balance Evaluation Systems Test (Mini-BESTest) and the Montreal Cognitive Assessment (MoCA). We will video record participants during weeks 1, 5, and 10 of the intervention to capture behavioral indicators of movement confidence (eg, fluency of motion) through coding. At posttest, the Mini-BESTest and MoCA will be repeated. We will analyze quantitative data collected through the Mini-BESTest and the MoCA using an intent-to-treat analysis, with study site and number of intervention sessions attended as covariates. To analyze the videos, we will extract count and percentage data from the coded recordings. Results This study will address the question of whether a group motion-based technology intervention, delivered in an adult day program context, has the potential to impact balance, movement confidence, and cognitive function among people with dementia or mild cognitive impairment. The project was funded in 2019 and enrollment was completed on February 28, 2020. Data analysis is underway and the first results are expected to be submitted for publication in 2021. Conclusions This study will assess the feasibility and potential benefits of using motion-based technology to deliver exercise interventions to people with dementia or mild cognitive impairment. This work can also be used as the basis for developing specific software and future exercise programs using motion-based technology for people with dementia or mild cognitive impairment, as well as understanding some of the conditions in which these programs can be delivered. International Registered Report Identifier (IRRID) DERR1-10.2196/18209
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- 2020
9. Kinect Project: people with dementia or mild cognitive impairment learning to play group motion-based games
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Erica Dove and Arlene Astell
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0301 basic medicine ,medicine.medical_specialty ,Nonpharmacologic interventions ,Motion (physics) ,Motion-based technology ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,medicine ,Dementia ,Duration (project management) ,Cognitive impairment ,Errorless learning ,Xbox Kinect ,Mild cognitive impairment ,Repeated measures design ,Featured Article ,medicine.disease ,Psychiatry and Mental health ,030104 developmental biology ,Conventional PCI ,Neurology (clinical) ,Psychology ,030217 neurology & neurosurgery - Abstract
Introduction Motion-based technologies (MBTs) could provide nonpharmacologic interventions for people with cognitive impairment (PCI; e.g., dementia or mild cognitive impairment). This study examined the use of errorless learning techniques to empower PCI to use MBT. Methods Thirty-eight PCI were recruited to a 10-week (20 × 1-hour sessions) Xbox Kinect bowling group. Video recorded data from first, middle, and final sessions were coded to track (1) number of prompts per turn, (2) independent turn completion, and (3) duration of turns. These values were compared using repeated measures analysis of variance. Results Learning and improvement over time was demonstrated in 23 participants who were available for final analysis by significant decreases in number of prompts per turn and turn duration and significant increases in turns completed independently. Discussion Errorless learning supported PCI to learn MBT and improve over time as evidenced by their need for fewer prompts, shorter turns, and more turns completed independently, confirming the potential of MBT to provide leisure activities for PCI., Highlights • People with dementia or MCI can learn to use MBTs through errorless learning. • Longitudinal application of errorless learning techniques changes over time. • Results challenge stereotypes about learning abilities of people with dementia/MCI. • Motion-based technology is a feasible group activity for people with dementia or MCI.
- Published
- 2019
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