Getting lost in the community: a phone survey on the community‐dwelling demented people in Hong Kong

Yuen, Kenneth S.L.; Ho, Faith C. S.; Chan, Wai Man

doi:10.1002/gps.2361

Cited by 25 publications

(29 citation statements)

References 14 publications

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“…This is in line with the results of previous research that used newspaper articles by Rowe and Bennett [4] and Silver Alert reports by Rowe [22]. However, other research found that age and gender are not significant factors of getting lost [15,24]. In terms of the country where the cases happened, this research showed that the majority of the tweets looking for people with dementia who got lost were from the United States and the United Kingdom.…”

Section: Discussionsupporting

confidence: 90%

“…For people with dementia who are missing on foot longer than 24 hours, 50% might experience a serious injury or die [14], and for people with dementia who are missing while driving and not found within 24 hours, there is a high likelihood of dying from exposure or other occurrence [2,4]. As a result, people with dementia who have experience of becoming lost are more vulnerable of being locked at home or institutionalized [9,13] as caregivers would become stressful [10,23] and 44.8% of the caregivers worry the persons would get lost in future [24].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Social Media as a Tool to Look for People with Dementia Who Become Lost: Factors That Matter

Tsoi

Zhang

Chan

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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This research explored how social media were used to look for people with dementia who went lost, and investigated what features of social media usage were associated with the outcomes of finding. Tweets that were disseminated to find missing people with dementia were collected and clustered by cases. Ten cases were selected as sample cases and traced for the outcomes of finding. Information of the Twitter users who tweeted and retweeted were retrieved and categorized. Descriptive analysis was applied to examine the lost cases and features of social media usage; T-test and chi-square analysis were conducted between outcomes of the lost incidents and key features of tweets and Twitter users. Results indicated that there was no significant association between the average number of tweets and retweets and the outcomes of finding, but social media users, especially the ones with a larger group of followers (audience), such as the media, should be encouraged to spread such information. However, a code of conduct is needed to ensure social media are not abused.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Social Media as a Tool to Look for People with Dementia Who Become Lost: Factors That Matter

Tsoi

Zhang

Chan

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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“…The occurrence of missing incidents negatively impacts patients by increasing their chances of institutionalization, reducing their sense of autonomy, and in worst case scenarios lead to harm or death [7,10]. It also significantly increases patients' carers/families stress and triggers the increasing involvement of law enforcement (i.e., police) as well as community search resources [9,[11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Geospatial Analysis of Environmental Risk Factors for Missing Dementia Patients

Puthusseryppady

Coughlan

Patel

et al. 2019

JAD

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BACKGROUND: Dementia-related missing incidents are highly prevalent but still poorly understood. This is particularly true for environmental/geospatial risk factors, which might contribute to these missing incidents. OBJECTIVE: The study aimed to conduct a retrospective, observational analysis on a large sample of missing dementia patient case records provided by the police (n = 210), covering dates from January 2014 to December 2017. In particular, we wanted to explore i) hotspot regions of missing incidents and ii) the relationship between outdoor landmark density and missing incidents. METHODS: Global spatial autocorrelation (Moran's I) was used to identify the potential hotspot regions for missing incidents. Meanwhile, spatial buffer and regression modelling were used to determine the relationship between landmark density and missing incidents. RESULTS: Our demographics measures replicated and extended previous studies of dementia-related missing incidents. Meanwhile, no hotspot regions for missing incidents were identified, whilst higher outdoor landmark density lead to increased missing incidents. CONCLUSION: Our results highlight that missing incidents do not occur in isolated hotspots of regions but instead are endemic in patients regardless of location. Higher landmark density emerges as a significant geospatial factor for missing incidents in dementia, which crucially informs future safeguarding/intervention studies.

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“…The distinction between wandering and becoming lost or missing is important because there is little/no evidence to suggest that persons with dementia who ‘wander’ will be more likely than their counterparts to become lost or missing from the home or out in the community [11]. This gap in the understanding of these dementia-related behaviors makes it more difficult to predict and prevent a missing incident [2,12,13]. …”

Section: Introductionmentioning

confidence: 99%

Prevalence of and Antecedents to Dementia-Related Missing Incidents in the Community

Bowen

McKenzie²,

Steis³

et al. 2011

Dement Geriatr Cogn Disord

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Objective: The primary aim of this study is to examine the prevalence of and antecedents to missing incidents among community-dwelling persons with dementia. Methods: This prospective study used mailed surveys and telephone interviews. Results: The prevalence of having any incident was 0.46/year; the overall prevalence for missing incidents in this study was 0.65/year. Missing incidents had few antecedents and occurred largely when persons with dementia were performing everyday activities that they normally completed without incident. Conclusion: Given that a missing incident is relatively common among persons with dementia, health care professionals should assist caregivers with a missing incident plan early in the disease process. Also, as missing persons are found by persons other than the caregiver and caregivers underutilize identification devices, health care professionals may recommend the use of identification devices to facilitate a safe return.

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Getting lost in the community: a phone survey on the community‐dwelling demented people in Hong Kong

Abstract: Demented people with greater degrees of cognitive decline and with mobility maintained are at greater risk of getting lost.

Cited by 25 publications

References 14 publications

Social Media as a Tool to Look for People with Dementia Who Become Lost: Factors That Matter

Social Media as a Tool to Look for People with Dementia Who Become Lost: Factors That Matter

Geospatial Analysis of Environmental Risk Factors for Missing Dementia Patients

Prevalence of and Antecedents to Dementia-Related Missing Incidents in the Community

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