Fall risk assessment in the safety management of ophthalmic care for patients with low vision

Patients with low vision face significant fall and caregiving risks due to impaired visual function, posing challenges to daily life and safety management. The aim of this study was to explore the application of fall risk assessment in the care safety of low vision patients and its scientific significance. The study designed a nursing intervention programme based on a risk assessment sheet and a smart warning device to quantify the patient’s dynamic postural control through biomechanical techniques. The experimental grouping was based on the random number table method, and 75 low vision patients were divided into conventional and observation groups, and personalised interventions were implemented in the observation group through dynamic balance training, gait monitoring and environment optimisation. The results showed that the incidence of adverse events such as falls and nursing disputes in the observation group was significantly lower than that in the routine group. In terms of key kinematic parameters such as stride frequency, stride length and stride width, patients in the observation group showed significant advantages, indicating that the personalised nursing intervention effectively improved the dynamic stability and gait coordination of the patients. This study innovatively applies biomechanical technology to nursing practice, which provides a scientific basis for risk assessment and safety management of low vision patients, and at the same time promotes the development of precision and modernisation of the nursing model.

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Publication Details

Journal
Molecular & cellular biomechanics
Published
2025-03-24
DOI
https://doi.org/10.62617/mcb1345
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
Field-Weighted Citation Impact
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Fall risk assessment in the safety management of ophthalmic care for patients with low vision

Huan Liu, Lei Wang
1 links
Molecular & cellular biomechanics
Ophthalmology and Visual Impairment Studies
article

Fall risk assessment in the safety management of ophthalmic care for patients with low vision

Huan Liu, Lei Wang
article en

Abstract

Patients with low vision face significant fall and caregiving risks due to impaired visual function, posing challenges to daily life and safety management. The aim of this study was to explore the application of fall risk assessment in the care safety of low vision patients and its scientific significance. The study designed a nursing intervention programme based on a risk assessment sheet and a smart warning device to quantify the patient’s dynamic postural control through biomechanical techniques. The experimental grouping was based on the random number table method, and 75 low vision patients were divided into conventional and observation groups, and personalised interventions were implemented in the observation group through dynamic balance training, gait monitoring and environment optimisation. The results showed that the incidence of adverse events such as falls and nursing disputes in the observation group was significantly lower than that in the routine group. In terms of key kinematic parameters such as stride frequency, stride length and stride width, patients in the observation group showed significant advantages, indicating that the personalised nursing intervention effectively improved the dynamic stability and gait coordination of the patients. This study innovatively applies biomechanical technology to nursing practice, which provides a scientific basis for risk assessment and safety management of low vision patients, and at the same time promotes the development of precision and modernisation of the nursing model.

Molecular & cellular biomechanicsVol. 22(5)
People's Liberation Army 401 Hospital (CN)
Openalex Percentile: Top 92%
Ophthalmology and Visual Impairment Studies
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Fall risk assessment in the safety management of ophthalmic care for patients with low vision — Huan Liu, Lei Wang · Molecular & cellular biomechanics (2025) | TGRS Research Map | TGRS