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

Author:

Miguel Cruz Antonio123ORCID,Marshall Samantha3,Daum Christine3,Perez Hector3ORCID,Hirdes John3,Liu Lili3ORCID

Affiliation:

1. University of Alberta, Edmonton, Alberta, Canada.

2. Glenrose Rehabilitation Hospital, Edmonton, Alberta, Canada.

3. University of Waterloo, Waterloo, Ontario, Canada.

Abstract

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.

Funder

Search and Rescue New Initiative Fund (SAR NIF) program, Public Safety Canada

AGE-WELL

Publisher

SAGE Publications

Subject

Health Policy

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