ArticleAlzheimer's & dementia (New York, N. Y.)2019
Key factors for the assessment of mobility in advanced dementia: A consensus approach.
Article in Alzheimer's & dementia (New York, N. Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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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.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- When Walking Outlasts Cognition: Rethinking the Late-Stage of Lewy Body Dementia.Neuro-degenerative diseases · 2026Review
- A program of SUPPORT-DPalliative & supportive care · 2026Article
- Development of an activity-based therapy tracking tool: Item generation and reduction using the Delphi method.The journal of spinal cord medicine · 2025Article
- The assessment of walking skills: Italian version.Frontiers in neurology · 2025Article
- Article
- Cross-sectional survey on independent mobility of people with dementia: a caregivers' perspective.Dementia & neuropsychologia · 2025Article
- Assistive technology: Occupational therapy assessment and services for people with dementia.The British journal of occupational therapy · 2024Article
- The Impact of Dual-Tasks and Disease Severity on Posture, Gait, and Functional Mobility among People Living with Dementia in Residential Care Facilities: A Pilot Study.Sensors (Basel, Switzerland) · 2024Article
- Linking cognitive functioning and postural balance control through virtual reality environmental manipulations.Frontiers in aging neuroscience · 2022Article
- Mobility in Older Community-Dwelling Persons: A Narrative Review.Frontiers in physiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLoss of mobility is common in advanced dementia and has important negative consequences related to fall risk, loss of independence, and lack of participation in meaningful activities. The causes of decline are multifactorial, including disease-specific changes in motor function, behavior, and cognition. To optimize clinical management of mobility, there is a need to better characterize capacity for safe and independent mobility. This study aimed to identify key factors that impact on mobility in dementia.
methodsExpert input was gathered using a modified Delphi consensus approach. The primary criterion for participation was specialist knowledge in mobility or dementia, either as a clinician or a researcher. Participants rated elements of mobility for importance and feasibility of assessment in advanced dementia and prioritized items for inclusion in a mobility staging tool. Descriptive statistics and qualitative content analysis were used to summarize responses.
resultsThirty-six experts completed the first survey with an 80% retention rate over three rounds. One-third of 61 items reached consensus for being both important and feasible to assess, representing five categories of elements. Items reaching agreement for a staging tool included walking, parkinsonism, gait, impulsivity, fall history, agitation, transfers, and posture control. DISCUSSION: This study highlights the need for a multidimensional, dementia-specific approach to mobility assessment. Results have implications for development of assessment methods and management guidelines to support the clinical care of mobility impairment in people with dementia.
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Registered trials
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.