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Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community
Chronic disease management challenges for persons living with dementia (PLWD) often includes difficulties communicating how their feeling or describing symptoms to caregivers. To address this issue, an interdisciplinary team is developing a touchscreen mobile technology that will allow the assessmen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968960/ http://dx.doi.org/10.1093/geroni/igab046.3540 |
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author | Brown, Ellen Ruggiano, Nicole Munoz, mariateresa H Roberts, lisa Framil, C Victoria Arroyo, Bernardo Bourgeois, Michelle |
author_facet | Brown, Ellen Ruggiano, Nicole Munoz, mariateresa H Roberts, lisa Framil, C Victoria Arroyo, Bernardo Bourgeois, Michelle |
author_sort | Brown, Ellen |
collection | PubMed |
description | Chronic disease management challenges for persons living with dementia (PLWD) often includes difficulties communicating how their feeling or describing symptoms to caregivers. To address this issue, an interdisciplinary team is developing a touchscreen mobile technology that will allow the assessment of clinical information about the PLWD, such as sleep quality, appetite, pain level, and mood. The mobile technology also allows caregivers to share this information with providers in real-time from their homes. In the team’s effort to incorporate a graphic measure to assess mood into the technology, a literature review revealed no such measurement tool has been established and validated for assessment with PLWD. This study focused on developing a graphic clinical assessment tool that can be used to assess mood for PLWD and establishing the face and content validity for this assessment tool. A team that included multidisciplinary clinical experts and a graphic artist designed a series of pictures of facial expressions and body language depicting a continuum of mood states (i.e., happy through depressed). The research team consulted with existing artistic depictions of sadness expression, including medical illustrations depicting depression. Multiple iterations have resulted in a series of images that represent moods from happy to very sad. The team considered a number of factors in developing the images including gender, ethnicity, and race. Consensus on the construct validity was achieved by the expert clinical panel. Details of a follow-up study to evaluate construct validity will be presented. |
format | Online Article Text |
id | pubmed-8968960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89689602022-04-01 Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community Brown, Ellen Ruggiano, Nicole Munoz, mariateresa H Roberts, lisa Framil, C Victoria Arroyo, Bernardo Bourgeois, Michelle Innov Aging Abstracts Chronic disease management challenges for persons living with dementia (PLWD) often includes difficulties communicating how their feeling or describing symptoms to caregivers. To address this issue, an interdisciplinary team is developing a touchscreen mobile technology that will allow the assessment of clinical information about the PLWD, such as sleep quality, appetite, pain level, and mood. The mobile technology also allows caregivers to share this information with providers in real-time from their homes. In the team’s effort to incorporate a graphic measure to assess mood into the technology, a literature review revealed no such measurement tool has been established and validated for assessment with PLWD. This study focused on developing a graphic clinical assessment tool that can be used to assess mood for PLWD and establishing the face and content validity for this assessment tool. A team that included multidisciplinary clinical experts and a graphic artist designed a series of pictures of facial expressions and body language depicting a continuum of mood states (i.e., happy through depressed). The research team consulted with existing artistic depictions of sadness expression, including medical illustrations depicting depression. Multiple iterations have resulted in a series of images that represent moods from happy to very sad. The team considered a number of factors in developing the images including gender, ethnicity, and race. Consensus on the construct validity was achieved by the expert clinical panel. Details of a follow-up study to evaluate construct validity will be presented. Oxford University Press 2021-12-17 /pmc/articles/PMC8968960/ http://dx.doi.org/10.1093/geroni/igab046.3540 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Brown, Ellen Ruggiano, Nicole Munoz, mariateresa H Roberts, lisa Framil, C Victoria Arroyo, Bernardo Bourgeois, Michelle Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community |
title | Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community |
title_full | Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community |
title_fullStr | Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community |
title_full_unstemmed | Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community |
title_short | Touchscreen Technology to Improve Dementia Care Management for Older Adults Living in the Community |
title_sort | touchscreen technology to improve dementia care management for older adults living in the community |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968960/ http://dx.doi.org/10.1093/geroni/igab046.3540 |
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