Fall risk assessment in the safety management of ophthalmic care for patients with low vision
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.
References
1. Park ASY, Wong GHT, Tan KWS, et al. Efficacy of perceptual learning in low vision: A systematic review and meta-analysis. Optometry and Vision Science. 2024; 101(6): 305–320. doi: 10.1016/j.visres.2010.10.019
2. Tan HL, Aplin T, McAuliffe T, et al. An exploration of smartphone use by, and support for people with vision impairment: a scoping review[J]. Disability and Rehabilitation: Assistive Technology. 2024; 19(2): 407–432. https://doi.org/10.1080/17483107.2022.2092223
3. Yang Z, Zhang J, Zheng Y. Associations Between Life’s Essential 8 and Major Ocular Diseases in the American Middle-Aged and Elderly Population. American Journal of Ophthalmology. 2024; 268: 76–85. doi: 10.1016/j.ajo.2024.07.022
4. Isaksson-Daun J, Jansson T, Nilsson J. Using Portable Virtual Reality to Assess Mobility of Blind and Low-Vision Individuals With the Audomni Sensory Supplementation Feedback. IEEE Access. 2024; 12: 26222–26241. doi: 10.1109/access.2024.3366808
5. Vrysis L, Almaliotis D, Almpanidou S, et al. Mobile software aids for people with low vision. Multimedia Tools and Applications. 2023; 83(10): 30919–30936. doi: 10.1007/s11042-023-16639-5
6. Fernandes N, Pereira D, Carvalho T, et al. Low vision rehabilitation program in patients with myopic macular degeneration: A case series. Acta Ophthalmologica. 2024; 102(S279). doi: 10.1111/aos.15933
7. Zaman N, Ong J, Waisberg E, et al. Advanced Visualization Engineering for Vision Disorders: A Clinically Focused Guide to Current Technology and Future Applications. Annals of Biomedical Engineering. 2023; 52(2): 178–207. doi: 10.1007/s10439-023-03379-8
8. Pundlik S, Luo G. Investigation of Population-Based Fall Risk in Eye Diseases. JAMA Ophthalmology. 2024; 142(2): 106. doi: 10.1001/jamaophthalmol.2023.6102
9. Blasco-García JD, García-López G, Jiménez-Muñoz M, et al. A Computer Vision-Based System to Help Health Professionals to Apply Tests for Fall Risk Assessment. Sensors. 2024; 24(6): 2015. doi: 10.3390/s24062015
10. Ranjan S, Panda AK. Association of Toll-Like Receptor 7 (TLR7) Polymorphisms with Predisposition to Systemic Lupus Erythematosus (SLE): A Meta and Trial Sequential Analysis. Biochemical Genetics. 2023; 62(5): 3350–3366. doi: 10.1007/s10528-023-10600-9
11. Liu BM, Beheshti M, Naeimi T, et al. The BLV App Arcade: a new curated repository and evaluation rubric for mobile applications supporting blindness and low vision. Disability and Rehabilitation: Assistive Technology. 2023; 19(4): 1405–1414. doi: 10.1080/17483107.2023.2187094
12. Ehni H, Wiesing U. The Declaration of Helsinki in bioethics literature since the last revision in 2013. Bioethics. 2024; 38(4): 335–343. doi: 10.1111/bioe.13270
13. Parsa-Parsi RW, Gillon R, Wiesing U. The revised International Code of Medical Ethics: an exercise in international professional ethical self-regulation. Journal of Medical Ethics. 2023; 50(3): 163–168. doi: 10.1136/jme-2023-109027
14. Dai L, Wu Z, Pan X, et al. Design and implementation of an automatic nursing assessment system based on CDSS technology. International Journal of Medical Informatics. 2024; 183: 105323. doi: 10.1016/j.ijmedinf.2023.105323
15. Carter S. An exploration of the agreement, inter- and intra-rater reliability, and reproducibility of three common methods used to measure minimum toe clearance with optical motion capture systems under three shoe conditions. Gait & Posture. 2024; 113: 534–542. doi: 10.1016/j.gaitpost.2024.08.006
16. Wang J, Wang X, Sun J, et al. Multi-dimensional force tracking-loading simulator development and simulation experiment for five-axis machining center. Advances in Mechanical Engineering. 2024; 16(9). doi: 10.1177/16878132241273543
17. Wang CH, Chang CC, Hsiao CY, et al. Effects of Reading Text on an Optical See-Through Head-Mounted Display During Treadmill Walking in a Virtual Environment. International Journal of Human–Computer Interaction. 2024; 40(9): 2225–2238. doi: 10.1080/10447318.2022.2154891
18. Li M, An X, Wang Q, et al. Effect of Hope Theory combined with active cycle of breathing techniques on pulmonary rehabilitation among COPD patients: A quasi-experiment study. Applied Nursing Research. 2024; 79: 151842. doi: 10.1016/j.apnr.2024.151842
19. Kuo CC, Chen SC, Chen TY, et al. Effects of long-term Tai-Chi Chuan practice on whole-body balance control during obstacle-crossing in the elderly. Scientific Reports. 2022; 12(1). doi: 10.1038/s41598-022-06631-8
20. Shaban M, Mohammed HH, Gomaa Mohamed Amer F, et al. Exploring the nurse-patient relationship in caring for the health priorities of older adults: qualitative study. BMC Nursing. 2024; 23(1). doi: 10.1186/s12912-024-02099-1
21. Li X. Changes in corneal biomechanics in patients with glaucoma: a systematic review and meta-analysis. BMC Ophthalmology. 2024; 24(1). doi: 10.1186/s12886-024-03443-4
Copyright (c) 2025 Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.
Submit a Paper
