Abstract：
OBJECTIVE: The aim of this systematic review was to determine if the diagnostic capabilities of wearable accelerometers enhanced, provided earlier detection, or improved fall risk assessment when evaluating individuals with chronic stroke.
METHODS: CINAHL and PubMed databases were searched for articles from 2015 to 2023 utilizing key terms.
METHODS: A team of researchers reviewed articles for bias via the Quality in Prognostic Studies tool, and further analyzed the data to answer the research question.
RESULTS: Four studies were included in the systematic review. When utilizing an accelerometer, the vertical axis was most predictive of falls, followed by the medio-lateral axis and the anterior-posterior axis. L2-3 was the most common accelerometer placement for fall risk assessment, however no uniformity existed in the literature on placement, number of accelerometers, or type. It was determined that gait symmetry, the Timed Up and Go, Berg Balance Scale, and Longitudinal Aging Study Amsterdam best predicted falls risk.
CONCLUSIONS: Based on limited available evidence, clinicians should continue to perform a comprehensive examination and evaluation for fall risk, that includes the use of a combination of evidence-based outcome measures and gait characteristics to develop an individualized plan of care for individuals post-stroke. However, further research is necessary to determine the added value of accelerometers as well as type, applicability of data, and placement.
METHODS: CINAHL and PubMed databases were searched for articles from 2015 to 2023 utilizing key terms.
METHODS: A team of researchers reviewed articles for bias via the Quality in Prognostic Studies tool, and further analyzed the data to answer the research question.
RESULTS: Four studies were included in the systematic review. When utilizing an accelerometer, the vertical axis was most predictive of falls, followed by the medio-lateral axis and the anterior-posterior axis. L2-3 was the most common accelerometer placement for fall risk assessment, however no uniformity existed in the literature on placement, number of accelerometers, or type. It was determined that gait symmetry, the Timed Up and Go, Berg Balance Scale, and Longitudinal Aging Study Amsterdam best predicted falls risk.
CONCLUSIONS: Based on limited available evidence, clinicians should continue to perform a comprehensive examination and evaluation for fall risk, that includes the use of a combination of evidence-based outcome measures and gait characteristics to develop an individualized plan of care for individuals post-stroke. However, further research is necessary to determine the added value of accelerometers as well as type, applicability of data, and placement.
摘要：
目的：本系统评价的目的是确定可穿戴加速度计的诊断能力是否增强，提供早期检测，或在评估慢性中风患者时改善跌倒风险评估。
方法：CINAHL和PubMed数据库使用关键术语搜索了2015年至2023年的文章。
方法：一组研究人员通过“预后研究质量”工具审查了有关偏倚的文章，并进一步分析数据以回答研究问题。
结果：4项研究纳入系统评价。当使用加速度计时，垂直轴最能预测跌倒，其次是中外侧轴和前后轴。L2-3是用于跌倒风险评估的最常见的加速度计位置，然而，在关于放置的文献中并不存在统一性，加速度计的数量，或类型。确定步态对称性，时间的上升和前进，Berg平衡量表,和纵向老龄化研究阿姆斯特丹最好的预测跌倒风险。
结论：基于有限的现有证据，临床医生应继续对跌倒风险进行全面检查和评估，这包括结合基于证据的结局指标和步态特征来制定卒中后个体的个性化护理计划.然而,需要进一步研究以确定加速度计的附加值以及类型，数据的适用性，和安置。
方法：CINAHL和PubMed数据库使用关键术语搜索了2015年至2023年的文章。
方法：一组研究人员通过“预后研究质量”工具审查了有关偏倚的文章，并进一步分析数据以回答研究问题。
结果：4项研究纳入系统评价。当使用加速度计时，垂直轴最能预测跌倒，其次是中外侧轴和前后轴。L2-3是用于跌倒风险评估的最常见的加速度计位置，然而，在关于放置的文献中并不存在统一性，加速度计的数量，或类型。确定步态对称性，时间的上升和前进，Berg平衡量表,和纵向老龄化研究阿姆斯特丹最好的预测跌倒风险。
结论：基于有限的现有证据，临床医生应继续对跌倒风险进行全面检查和评估，这包括结合基于证据的结局指标和步态特征来制定卒中后个体的个性化护理计划.然而,需要进一步研究以确定加速度计的附加值以及类型，数据的适用性，和安置。
