Evidence map›Paper›PMID 35451965›Full record

ArticleJMIR aging2022

Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional Study.

Vaisakh Puthusseryppady, Sol Morrissey, Min Hane Aung, Gillian Coughlan, Martyn Patel, Michael Hornberger

Open access · goldAbstract read
In one paragraph

Article in JMIR aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. A cognitive-motor framework for spatial navigation in aging and early-stage Alzheimer's disease.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
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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

6 authors at 3 institutions in 3 countries.

Vaisakh PuthusseryppadyNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0003-2285-4990
Sol MorrisseyNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-2850-7570
Min Hane AungSchool of Computing Sciences, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-4376-0849
Gillian CoughlanRotman Research Institute, Baycrest, ON, Canada.ORCID https://orcid.org/0000-0003-1806-702X
Martyn PatelNorfolk and Norwich University Hospitals National Health Service Foundation Trust, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-9313-3894
Michael HornbergerNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-2214-3788
University of East Anglia · GBHarvard University · USNational Health Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpatial disorientation is one of the earliest and most distressing symptoms seen in patients with Alzheimer disease (AD) and can lead to them getting lost in the community. Although it is a prevalent problem worldwide and is associated with various negative consequences, very little is known about the extent to which outdoor navigation patterns of patients with AD explain why spatial disorientation occurs for them even in familiar surroundings.

objectiveThis study aims to understand the outdoor navigation patterns of patients with AD in different conditions (alone vs accompanied; disoriented vs not disoriented during the study) and investigate whether patients with AD experienced spatial disorientation when navigating through environments with a high outdoor landmark density and complex road network structure (road intersection density, intersection complexity, and orientation entropy).

methodsWe investigated the outdoor navigation patterns of community-dwelling patients with AD (n=15) and age-matched healthy controls (n=18) over a 2-week period using GPS tracking and trajectory mining analytical techniques. Here, for the patients, the occurrence of any spatial disorientation behavior during this tracking period was recorded. We also used a spatial buffer methodology to capture the outdoor landmark density and features of the road network in the environments that the participants visited during the tracking period.

resultsThe patients with AD had outdoor navigation patterns similar to those of the controls when they were accompanied; however, when they were alone, they had significantly fewer outings per day (total outings: P<.001; day outings: P=.003; night outings: P<.001), lower time spent moving per outing (P=.001), lower total distance covered per outing (P=.009), lower walking distance per outing (P=.02), and lower mean distance from home per outing (P=.004). Our results did not identify any mobility risk factors for spatial disorientation. We also found that the environments visited by patients who experienced disorientation versus those who maintained their orientation during the tracking period did not significantly differ in outdoor landmark density (P=.60) or road network structure (road intersection density: P=.43; intersection complexity: P=.45; orientation entropy: P=.89).

conclusionsOur findings suggest that when alone, patients with AD restrict the spatial and temporal extent of their outdoor navigation in the community to successfully reduce their perceived risk of spatial disorientation. Implications of this work highlight the importance for future research to identify which of these individuals may be at an actual high risk for spatial disorientation as well as to explore the implementation of health care measures to help maintain a balance between patients' right to safety and autonomy when making outings alone in the community.

Indexed as

Alzheimer diseasecommunitydementiaenvironmentalgetting lostGPS trackingmobile phoneoutdoor navigationrisk factorsspatial disorientation

Identifiers

PMID35451965
PMCPMC9073623
OpenAlexW4224274237

What OpenQuestion holds

Textmetadata
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.