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Personal identification systems for persons with dementia: a systematic review
Shinpei Matsuda1, Hitoshi Yoshimura1
1Department of Dentistry and Oral Surgery, Unit of Sensory and Locomotor Medicine, Division of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Developing identification systems for missing persons with dementia is crucial. This review highlights the urgent need for better medical, social, and digital systems to protect vulnerable individuals.
Area of Science:
- Gerontology
- Public Health
- Information Science
Background:
- Cognitive decline in dementia can lead to individuals becoming missing and unidentifiable.
- Lack of personal belongings and identification information exacerbates this issue.
- Existing identification systems are insufficient for persons with dementia.
Purpose of the Study:
- To systematically review and discuss the current status of personal identification systems for missing and unidentified persons with dementia.
- To identify gaps in the development and implementation of such systems.
- To emphasize the need for improved identification strategies.
Main Methods:
- Systematic literature search using PubMed, Web of Science, Cochrane Library, and CINAHL.
- Extraction and analysis of 128 initially identified texts.
- Inclusion of three eligible texts for the review, categorized by analysis target (medical/social support systems, digital systems).
Main Results:
- Only three eligible studies were identified and included in the review.
- The included studies focused on medical/human community support systems and digital systems.
- A significant lack of reported development and construction of social personal identification systems for this population was found.
Conclusions:
- There is a critical need to develop and advance integrated medical, social care, and digital personal identification systems for persons with dementia.
- Current research and development in social identification systems for missing persons with dementia are scarce.
- Urgent action is required from healthcare professionals and society to build effective identification systems to address this growing problem.
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