ArticleNursing open2023
Validity and reliability of an android device for the assessment of fall risk in older adult inmates.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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.
Who cites it
9 citing papers in PubMed, 6 citations in OpenAlex.
- Effects of a gait training program with the FisiorBMC complementary medicine and therapies · 2026Trial
- A Mobile Application for Fall Prevention Among Older Adults in Rural Thailand: A Research and Development Approach.Health promotion perspectives · 2026Article
- Validation of an Instrumental Device to Estimate the Risk of Falls and Frailty in Older People.Sensors (Basel, Switzerland) · 2026Observational
- Factors Associated With Improved Physical Performance in Individuals With Parkinson's Disease Using the Fisior® Sequential Square Mat Walking Training Program: A Secondary Gender-Stratified Analysis of a Randomized Controlled Trial.Journal of central nervous system disease · 2026Article
- Cross-Sectional Study of Bone Mineral Density in Chronic Stroke According to Walking Speed.Journal of clinical medicine · 2025Article
- FallskipGeriatrics (Basel, Switzerland) · 2025Article
- Detection of Falls and Frailty in Older Adults with Oldfry: Associated Risk Factors.Sensors (Basel, Switzerland) · 2025Observational
- Gait Assessment Using Smartphone Applications in Older Adults: A Scoping Review.Geriatrics (Basel, Switzerland) · 2024Article
- Validity and reliability of an android device for the assessment of fall risk in older adult inmates.Nursing open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo validate the Android device, FallSkip, as a tool to assess the fallers in older adult inmates.
designA cross-sectional descriptive and analytical study.
methodsFor the validation of the FallSkip, the diagnostic criterion used was the risk of having suffered a fall during the last year.
resultsThe results for the FallSkip tool were as follows: sensitivity 60.7%; specificity 83.0%; positive predictive value 65.4%; negative predictive value 80.0%; accuracy 75.3%. In total, 32.1% of participants were found to be at high risk of falls, 23.5% were at mild risk and 7.4% were found to have no risk.
conclusionThe FallSkip device is shown to be a very suitable tool for fall risk assessment. The sample studied presented a statistically significant percentage of fall risk, which made it necessary to carry out interventions through physical activities to improve balance and stability.
Indexed as
Identifiers
What OpenQuestion holds
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.