Multidimensional Fall Risk Assessment Tool for Older Adults
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Solution Overview
Problem
Current methods for assessing the risk of falling in older people lack a comprehensive, multifactorial tool that combines validated instruments for evaluating balance, strength, walking, history of falls, environmental hazards, medication, and cognitive deficits, limiting their applicability and accuracy in identifying individuals at risk.
Innovation Solution
A multidimensional tool comprising a trolley with various instruments such as digital stopwatches, bioimpedance scale, metronome, anthropometric tape, retractable cones, and dumbbell weights, allowing for physical, functional, and cognitive tests, with a dynamic statistical model for data analysis and cutoff values adjusted to population characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate assessment tools are used to evaluate different fall risk factors, then each factor can be assessed with specialized instruments, but the overall assessment process becomes complex and difficult to replicate reliably
Solution Approach 1:
The patent combines multiple separate assessment tools into a single integrated multidimensional tool that evaluates balance, strength, walking ability, history of falls, environmental hazards, medication, and cognitive deficits simultaneously. This integration maintains comprehensive assessment accuracy while reducing the complexity of managing multiple separate instruments and protocols.
Solution Approach 2:
The multidimensional tool is designed as a universal assessment instrument that can evaluate multiple fall risk factors across different populations. The tool includes standardized protocols and cutoff values that allow it to function effectively for various demographic groups, eliminating the need for population-specific tools while maintaining assessment precision.
2Measurement precision
If validated assessment tools are developed for specific populations, then assessment accuracy improves for those groups, but the tools cannot be reliably applied to other populations
Solution Approach 1:
The multidimensional tool incorporates standardized protocols and population-adjusted cutoff values that enable its application across diverse populations. The tool maintains validated assessment accuracy for specific groups while allowing reliable extension to other populations through its standardized measurement approaches and normative data.
3Measurement precision
If comprehensive multifactorial assessment is implemented, then fall risk identification becomes more accurate, but the assessment requires formal researchers and caregivers with specialized training
Solution Approach 1:
The multidimensional tool divides the comprehensive fall risk assessment into distinct, manageable modules that can be administered systematically. Each module focuses on specific risk factors (balance, strength, walking, etc.) with clear protocols, making the complex assessment process easier to implement for informal caregivers with minimal training while maintaining high identification accuracy.
4Measurement precision
If multiple separate diagnostic tests are administered, then comprehensive risk factor evaluation is achieved, but repeated verification in the same person becomes difficult and time-consuming
Solution Approach 1:
The multidimensional tool consolidates multiple diagnostic tests into a single integrated assessment that evaluates all fall risk factors simultaneously. This allows comprehensive risk factor coverage to be achieved in one administration, enabling efficient repeated verification over time without the time burden of multiple separate tests.
Data Source
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AI summary
This application describes a multidimensional tool for evaluating the risk of falling, particularly in older people. The tool hereby described was developed from a trolley-style box, built specifically to comprise different measuring instruments that allow for the application of physical, functional and cognitive tests, and clinical questionnaires duly validated in the international literature, in order to obtain data to assess the risk of falling. The mobility of the tool allows for the easy transportation of all the instruments enabling the tool to be taken directly to the population for assessment. This tool is also associated with a dynamic statistical model for predicting the risk of falling, that allows for the adjustment of the final result of the risk in accordance with the tests performed.