Evidence map›Paper›PMID 32698799›Full record

ArticleBMC geriatrics2020

The development and validation of a prototype mobility tracker for assessing the life space mobility and activity participation of older adults.

Soon Hoe Ho, Dion Piu Sern Tan, Pey June Tan, Ka Wei Ng, Zoe Zon Be Lim, Isabel Hui Leng Ng, Lok Hang Wong, Mimaika Luluina Ginting, Belinda Yuen, Ullal Jagadish Mallya and 2 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Soon Hoe HoGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Dion Piu Sern TanNDR Medical Technology Pte Ltd, 75 Ayer Rajah Crescent #02-19, Singapore, 139953, Singapore.
Pey June TanGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Ka Wei NgNDR Medical Technology Pte Ltd, 75 Ayer Rajah Crescent #02-19, Singapore, 139953, Singapore.
Zoe Zon Be LimGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Isabel Hui Leng NgGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Lok Hang WongGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Mimaika Luluina GintingGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Belinda YuenLee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
Ullal Jagadish MallyaDepartment of Geriatric Medicine, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828, Singapore.
Mei Sian ChongGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore.
Chek Hooi WongGeriatric Education and Research Institute Ltd, 2 Yishun Central 2, Singapore, 768024, Singapore. wong.chek.hooi@geri.com.sg.ORCID 0000-0002-3048-0477

Funding

Ministry of National Development and National Research Foundation under the Land and Liveability National Innovation Challenge L2NICTDF1-2017-2
6 · The paper itself

Abstract

backgroundThere is increasing interest in examining the life space mobility and activity participation of older adults in the community using sensor technology. Objective data from these technologies may overcome the limitations of self-reported surveys especially in older adults with age-associated cognitive impairment. This paper describes the development and validation of a prototype hybrid mobility tracker for assessing life space mobility and out-of-home activities amongst 33 community-ambulant older adults in Singapore.

methodsA hybrid mobility tracker was developed by combining a passive Global Positioning System logger, tri-axial accelerometer and radio-frequency identification. Objective measures of life space, derived from 1 week of tracking data using Geographic Information Systems, were the maximum Euclidean distance from home (Max Euclid) and the area of the minimum convex polygon surrounding all GPS waypoints (MCP area). Out-of-home activities were quantified by visually identifying the total number of activity nodes, or places where participants spent ≥5 min, from mobility tracks. Self-reported measure of life space in 4 weeks was obtained using the University of Alabama at Birmingham Study of Life Space Assessment (UAB-LSA) questionnaire. Self-reported out-of-home activities were recorded daily in a travel diary for 1 week. Bivariate correlations were used to examine convergent validity between objective and subjective measures of life space and out-of-home activities.

resultsThe mean age of participants was 69.2 ± 7.1 years. The mean UAB-LSA total score was 79.1 ± 17.4. The median (range) Max Euclid was 2.44 km (0.26-7.50) per day, and the median (range) MCP area was 3.31 km

conclusionsThe tracking system developed to understand out-of-home travel was feasible and reliable. Comparisons with the UAB-LSA and travel diaries showed that it provided reliable and valid spatiotemporal data to assess the life space mobility and activity participation of older adults.

Indexed as

Activities of Daily LivingGeriatric AssessmentAgedHumansMobility LimitationSelf ReportSingaporeSurveys and QuestionnairesAccelerometerGlobal positioning systemLife spaceMobility trackerRadio-frequency identification

Identifiers

PMID32698799
PMCPMC7374961

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.