The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Autonomous Spatial Orientation in Patients with Mild to Moderate Alzheimer's Disease by using Mobile Assistive Devices: A Pilot Study
Abstract
Background/objective Spatial orientation declines early in patients with Alzheimer's disease (AD) and is a major cause for institutionalization of patients. Methods Use of either an aerial map or an assistive device to get from start to goal zone, both located on the campus of the hospital (distance between start and goal zone 300 m to 500 m). Use of the assistive device was trained for 15 minutes prior to the task. Results We assessed 14 patients with mild to moderate AD (DSM-IV and NINCDS-ADRDA criteria; 9 female patients, 5 male patients; age 71.9 ± 7.4 years; MMSE 21.7 ± 2.9 (mean ± SD), range 16-26). Each patient had to find the way for three different routes with different start and goal zones. None of the patients found their way to the goal zone for any of the routes when using an aerial map in which the way was highlighted. With use of the assistive device, patients found their way from start to goal zones autonomously for 20 of 42 routes (3 routes each for 14 patients). For 22 of 42 routes intermediate re-assurance was necessary, but herewith routes were completed. Conclusion This study lays ground for the use of mobile technical devices in patients with mild to moderate AD. Mobile assistive devices may enable patients with mild to moderate AD to maintain autonomous spatial orientation in unfamiliar environments. Improvement of the familiarization of patients with the device and further sophistication of assistive cues is likely to further improve autonomous use of…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Only one study compared the user friendliness of two different strategies for indoor navigation for people with MCI/D; namely, a radio frequency identification navigation device (a device communicating with radio frequency signals) compared with an aerial map.36”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [36]
In the citing paper
“Domain 1 presents six papers on technology either for locating persons32–34 or for supporting navigation,35,36 or on how to involve users in the product design of devices for location and navigation.37”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [36]
In the citing paper
“Two other studies explored navigation technologies for indoor wayfinding.35,36”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [36]
In the citing paper
“Both studies found that the participants with MCI/D managed wayfinding in approximately half of the attempts.”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [36]
In the citing paper
“Only three studies were randomized controlled trials, with a pre–posttest design and control group.29,36,39”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [36]
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Brookmeyer, R., Gray, S. G., & Kawas, C. H. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.9.1337 · Cited by 1,802
Rates and risk factors for dementia and Alzheimer’s disease: Results from EURODEM pooled analyses
Launer, L. J., Andersen, K., Dewey, M. E., Letenneur, L., Ott, A., Amaducci, L. A., Brayne, C., Copeland, J. R. M., Dartigues, J.-F., Kragh-Sorensen, P., et al. (1999) · Neurology · doi:10.1212/wnl.52.1.78 · Cited by 758
Smart homes — Current features and future perspectives
Chan, M., Campo, É., Esteve, D., & Fourniols, J.-Y. (2009) · Maturitas · doi:10.1016/j.maturitas.2009.07.014 · Cited by 584
Technologies for an Aging Society: A Systematic Review of “Smart Home” Applications
Hensel, B. K., & Demiris, G. (2008) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638580 · Cited by 451
Senior residents’ perceived need of and preferences for “smart home” sensor technologies
Demiris, G., Hensel, B. K., Skubic, M., & Rantz, M. (2008) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462307080154 · Cited by 356
Grön, G., Bittner, D., Schmitz, B., Wunderlich, A. P., & Riepe, M. W. (2002) · Annals of Neurology · doi:10.1002/ana.10157 · Cited by 127
Self-citationCAALYX: a new generation of location-based services in healthcare
Boulos, M. N. K., Rocha, A., Martins, Â., Vicente, M., Bolz, A., Feld, R., Tchoudovski, I., Braecklein, M., Nelson, J., OLaighin, G. M., et al. (2007) · International Journal of Health Geographics · doi:10.1186/1476-072x-6-9 · Cited by 110
Grön, G., Brandenburg, I., Wunderlich, A. P., & Riepe, M. W. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.12.005 · Cited by 106
Self-citationSohlberg, M. M., Fickas, S. F., Hung, P.-F., & Fortier, A. (2007) · Brain Injury · doi:10.1080/02699050701311000 · Cited by 67
Cited by
Sorted by citations
Holthe, T., Halvorsrud, L., Karterud, D., Hoel, K.-A., & Lund, A. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s154717 · Cited by 199
“…of near-field radio frequency identification technology, having six people with MCI/D find their way from A to B in a hospital setting, 35 and Lanza et al (2014) compared the use of mobile navigation technology with photographs to ordinary aerial maps for autonomous outdoor wayfinding within…”
InfluentialDigital technology to enable aging in place
Kim, K., Gollamudi, S. S., & Steinhubl, S. R. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.11.013 · Cited by 210
Bateman, D. R., Srinivas, B., Emmett, T. W., Schleyer, T., Holden, R. J., Hendrie, H. C., & Callahan, C. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7814 · Cited by 103
Costanzo, M. C., Arcidiacono, C., Rodolico, A., Panebianco, M., Aguglia, E., & Signorelli, M. S. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5219 · Cited by 78
Wiener, J. M., & Pazzaglia, F. (2021) · Cognitive Processing · doi:10.1007/s10339-021-01031-8 · Cited by 79
Metadata
- Authors
- Lanza, C., Knörzer, O., Weber, M., & Riepe, M. W.
- Affiliations
- Universität Ulm (DE)
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2014-09-16
- Volume
- 42
- Issue
- 3
- Pages
- 879-884
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W1663410863
- Cited by
- 26
- References
- 26
- Citations by year
- 2026: 1 · 2023: 2 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 6 · 2018: 4 · 2017: 2 · 2016: 1 · 2015: 1
- FWCI
- 4.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, spatial orientation
- MeSH terms
- Aged, Alzheimer Disease, Female, Humans, Male, Mental Status Schedule, Neuropsychological Tests, Orientation, Perceptual Disorders, Pilot Projects, Self-Help Devices, Space Perception, Mobile Applications, Spatial Navigation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review