Technology for maintaining oral care after stroke: considerations for patient-centered practice

DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY(2022)

引用 3|浏览16
暂无评分
摘要
Purpose Activities of daily living including oral care may be challenging after stroke. Some stroke survivors are not able to complete oral care independently and need assistance from healthcare professionals and care partners. Poor oral hygiene may impact stroke recovery and rehabilitation possibly incurring issues such as aspiration pneumonia, malnutrition, and social isolation. The objective of this paper is to outline practical ways to apply oral care technology in daily use for stroke survivors. Materials and methods We reviewed the literature on i) stroke-related impairments impacting oral care, ii) oral hygiene dental devices, and iii) technology for oral care education. Results Oral care activities involve integrated skills in the areas of motivation, energy, planning, body movement and sensation, and mental acuity and health. Post-stroke impairments such as fatigue, hemiparesis, and mental impairments may impact oral care activities. Technology may help survivors and caregivers overcome some barriers. Three types of technologies are available for facilitating post-stroke oral care: i) non-powered tools and adaptations; ii) powered oral care tools, and; iii) electronic aids to guide oral care activities. Particular choices should maximise patient safety and autonomy while ensuring accessibility and comfort during oral care tasks. Conclusion The available device and technologies may help substantially with the accommodations needed for post-stroke oral care, improving the oral health of stroke survivors. Good oral health confers benefit to overall health and well-being and could enhance recovery and rehabilitation outcomes. Nonetheless, more research is necessary to demonstrate the feasibility and effectiveness of technology in stroke contexts.
更多
查看译文
关键词
Oral hygiene, oral health, stroke, brain injuries, technology, educational technology
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要