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Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents

It is estimated that up to 60% of people living with dementia go missing at least once during the course of their disease. Databases on missing incidents involving people living with dementia are managed in silos with minimal or incomplete data. A national strategy for the collection of data on miss...

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Autores principales: Miguel Cruz, Antonio, Marshall, Samantha, Daum, Christine, Perez, Hector, Hirdes, John, Liu, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615336/
https://www.ncbi.nlm.nih.gov/pubmed/35678379
http://dx.doi.org/10.1177/08404704221106156
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author Miguel Cruz, Antonio
Marshall, Samantha
Daum, Christine
Perez, Hector
Hirdes, John
Liu, Lili
author_facet Miguel Cruz, Antonio
Marshall, Samantha
Daum, Christine
Perez, Hector
Hirdes, John
Liu, Lili
author_sort Miguel Cruz, Antonio
collection PubMed
description It is estimated that up to 60% of people living with dementia go missing at least once during the course of their disease. Databases on missing incidents involving people living with dementia are managed in silos with minimal or incomplete data. A national strategy for the collection of data on missing incidents of people living with dementia would optimize time and resources spent on police and search and rescue and enhance chances of saving lives of those who go missing. Such a strategy would be a first step toward developing strategies to prevent future missing person incidents among this population. The objectives of this manuscript are to: (1) describe the issues and challenges related to the lack of integrated data on people living with dementia at risk of going missing, and (2) propose directions to create a national database.
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spelling pubmed-96153362022-10-29 Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents Miguel Cruz, Antonio Marshall, Samantha Daum, Christine Perez, Hector Hirdes, John Liu, Lili Healthc Manage Forum Original Articles It is estimated that up to 60% of people living with dementia go missing at least once during the course of their disease. Databases on missing incidents involving people living with dementia are managed in silos with minimal or incomplete data. A national strategy for the collection of data on missing incidents of people living with dementia would optimize time and resources spent on police and search and rescue and enhance chances of saving lives of those who go missing. Such a strategy would be a first step toward developing strategies to prevent future missing person incidents among this population. The objectives of this manuscript are to: (1) describe the issues and challenges related to the lack of integrated data on people living with dementia at risk of going missing, and (2) propose directions to create a national database. SAGE Publications 2022-06-09 2022-11 /pmc/articles/PMC9615336/ /pubmed/35678379 http://dx.doi.org/10.1177/08404704221106156 Text en © 2022 The Canadian College of Health Leaders. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Miguel Cruz, Antonio
Marshall, Samantha
Daum, Christine
Perez, Hector
Hirdes, John
Liu, Lili
Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
title Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
title_full Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
title_fullStr Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
title_full_unstemmed Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
title_short Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
title_sort data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615336/
https://www.ncbi.nlm.nih.gov/pubmed/35678379
http://dx.doi.org/10.1177/08404704221106156
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