ReviewSensors (Basel, Switzerland)2017
Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.
Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled 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.
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
37 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Performance of digital technologies in assessing fall risks among older adults with cognitive impairment: a systematic review.GeroScience · 2024Pooled it
- A Systematic Review of Wearable Sensors for Monitoring Physical Activity.Sensors (Basel, Switzerland) · 2022Pooled it
- A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.Sensors (Basel, Switzerland) · 2020Pooled it
- Predicting first falls among older adults with chronic conditions and polypharmacy using routinely collected health records.Frontiers in artificial intelligence · 2026Article
- Multifactorial Risk Assessment of Falls in Thai Community-Dwelling Older Adults: Findings from a Geriatric Cohort Study.Geriatrics (Basel, Switzerland) · 2025Article
- A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults.Sensors (Basel, Switzerland) · 2025Article
- Development of a Predictive Dashboard With Prescriptive Decision Support for Falls Prevention in Residential Aged Care: User-Centered Design Approach.JMIR aging · 2025Article
- Wearable fall risk assessment by discriminating recessive weak foot individual.Journal of neuroengineering and rehabilitation · 2025Article
- Trend Analysis of Unintentional Fall Mortality and Years of Life Lost in the Fars Province of Iran, 2004-2019.Iranian journal of public health · 2024Article
- Developing an Ontology Representing Fall Risk Management Domain Knowledge.Journal of medical systems · 2024Article
- Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Prevalence and risk factors for falls among the community dwelling older adults of Thrissur: A pilot study.Journal of family medicine and primary care · 2024Article
- Fall Detection System Based on Point Cloud Enhancement Model for 24 GHz FMCW Radar.Sensors (Basel, Switzerland) · 2024Article
- A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack.JMIR human factors · 2024Article
- Patch-Transformer Network: A Wearable-Sensor-Based Fall Detection Method.Sensors (Basel, Switzerland) · 2023Article
- Responsive fungal insoles for pressure detection.Scientific reports · 2023Article
- Ageing in place - exploring the safety of the environment of Slovenian older adults.SAGE open medicine · 2023Article
- End Users' and Other Stakeholders' Needs and Requirements in the Development of a Personalized Integrated Care Platform (PROCare4Life) for Older People With Dementia or Parkinson Disease: Mixed Methods Study.JMIR formative research · 2022Article
- An Approach for Fall Prediction Based on Kinematics of Body Key Points Using LSTM.International journal of environmental research and public health · 2022Article
- Falls prediction using the nursing home minimum dataset.Journal of the American Medical Informatics Association : JAMIA · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems.
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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.