Introduction: Blue Marble Health Company has created a digital fall risk screening tool (Health in Motion©) that can be used by means of self-report (touch/mouse) or by means of motion capture (Microsoft Kine...Introduction: Blue Marble Health Company has created a digital fall risk screening tool (Health in Motion©) that can be used by means of self-report (touch/mouse) or by means of motion capture (Microsoft Kinect Sensor). Health in Motion©consists of automated versions of the Fall Risk Question-naire, 30-Second Chair Stand Test, and the One Leg Stance Test. Methods: We compared the three methods (self-report, sensor, and clinical standard measurement) using stopwatch and observation in 15 community-dwelling older adults, aged 63 - 80 years old. Each version was completed three times each in random order, for a total of nine trials. Results: Health in Motion©falls screening tool accessible via self-report and sensor is a valid and reliable automated at-home self-assessment for falls risk. Conclusion: Results support the use of Health in Motion©falls screening tools as viable alternatives to standard falls risk assessments for use by older adults at home.展开更多
AIM To assess the performance of a newly designed,culturally adapted screening tool for autism spectrum disorder(ASD).METHODS Items for the screening tool were modeled from already documented checklists and diagnostic...AIM To assess the performance of a newly designed,culturally adapted screening tool for autism spectrum disorder(ASD).METHODS Items for the screening tool were modeled from already documented checklists and diagnostic criteria for ASD.Each item in text was paired with a photograph that illustrated the written content,which was in the 2 main local languages.The final product had 21 items and was named the pictorial autism assessment schedule(PAAS).Performance of PAAS was tested on a clinical sample of 18-48 mo old children,diagnosis na?ve,presenting with developmental deficits.Mothers completed PAAS checklist.Based on clinical diagnosis,which was taken as the gold standard,children were later grouped into ASD(Group 1) and non-ASD developmental disorders(Group 2).Mothers of a control sample of typically developing children also completed PAAS(Group 3).RESULTS A total of 105 children(Group 1-45,Group 2-30,Group 3-30) participated in the study.Mean age of Group 1 and Group 2 were 36 and 40 mo respectively.Majority were male in all 3 groups.Performance of PAAS in discriminating between ASD and non-ASD developmental disorders was sensitivity 88.8%,specificity 60.7%,positive predictive value(PPV) 78.4%,negative predictive value(NPV) 77.2%,likelihood ratio(LR+) 2.26,and LR-0.18.Performance of PAAS in discriminating between ASD and typical development was sensitivity 88.0%,specificity 93.3%,PPV 95.2%,NPV 84.0%,LR+ 13.3 and LR- 0.12.The results indicated that that a positive result from PAAS was 2.26 times more likely to be found in a child with ASD than in a child with non-ASD developmental disorder.A positive result from PAAS was 13.3 times more likely to be found in a child with ASD than in a child with typical development.CONCLUSION PAAS is an effective tool in screening for ASD.Further study is indicated to evaluate the feasibility of using this instrument for community screening for ASD.展开更多
目的对脑卒中跌倒恐惧研究进行范围综述,找出该领域研究的空白点。方法采用范围综述的方法检索PubMed、Embase、Web of Science、Cochrane Library、CINAHL、中国生物医学文献服务系统、中国知网、维普网、万方数据库,检索时限均为建库...目的对脑卒中跌倒恐惧研究进行范围综述,找出该领域研究的空白点。方法采用范围综述的方法检索PubMed、Embase、Web of Science、Cochrane Library、CINAHL、中国生物医学文献服务系统、中国知网、维普网、万方数据库,检索时限均为建库至2023年9月17日,由2名研究者独立对文献资料进行筛选与提取。结果共纳入31篇文献,其中中文17篇,英文14篇,发表时间为2006年至2023年,分析总结跌倒恐惧对脑卒中患者的相关评估工具、影响因素及应对策略。结论本研究结果表明,跌倒恐惧严重影响脑卒中患者的生存质量,影响因素较为复杂,目前尚缺乏针对脑卒中这类专科疾病跌倒恐惧的评估工具,干预措施有待进一步完善和改进,未来可开展更多研究以规范和统一评估工具,制定科学、有效的应对策略。展开更多
文摘Introduction: Blue Marble Health Company has created a digital fall risk screening tool (Health in Motion©) that can be used by means of self-report (touch/mouse) or by means of motion capture (Microsoft Kinect Sensor). Health in Motion©consists of automated versions of the Fall Risk Question-naire, 30-Second Chair Stand Test, and the One Leg Stance Test. Methods: We compared the three methods (self-report, sensor, and clinical standard measurement) using stopwatch and observation in 15 community-dwelling older adults, aged 63 - 80 years old. Each version was completed three times each in random order, for a total of nine trials. Results: Health in Motion©falls screening tool accessible via self-report and sensor is a valid and reliable automated at-home self-assessment for falls risk. Conclusion: Results support the use of Health in Motion©falls screening tools as viable alternatives to standard falls risk assessments for use by older adults at home.
文摘AIM To assess the performance of a newly designed,culturally adapted screening tool for autism spectrum disorder(ASD).METHODS Items for the screening tool were modeled from already documented checklists and diagnostic criteria for ASD.Each item in text was paired with a photograph that illustrated the written content,which was in the 2 main local languages.The final product had 21 items and was named the pictorial autism assessment schedule(PAAS).Performance of PAAS was tested on a clinical sample of 18-48 mo old children,diagnosis na?ve,presenting with developmental deficits.Mothers completed PAAS checklist.Based on clinical diagnosis,which was taken as the gold standard,children were later grouped into ASD(Group 1) and non-ASD developmental disorders(Group 2).Mothers of a control sample of typically developing children also completed PAAS(Group 3).RESULTS A total of 105 children(Group 1-45,Group 2-30,Group 3-30) participated in the study.Mean age of Group 1 and Group 2 were 36 and 40 mo respectively.Majority were male in all 3 groups.Performance of PAAS in discriminating between ASD and non-ASD developmental disorders was sensitivity 88.8%,specificity 60.7%,positive predictive value(PPV) 78.4%,negative predictive value(NPV) 77.2%,likelihood ratio(LR+) 2.26,and LR-0.18.Performance of PAAS in discriminating between ASD and typical development was sensitivity 88.0%,specificity 93.3%,PPV 95.2%,NPV 84.0%,LR+ 13.3 and LR- 0.12.The results indicated that that a positive result from PAAS was 2.26 times more likely to be found in a child with ASD than in a child with non-ASD developmental disorder.A positive result from PAAS was 13.3 times more likely to be found in a child with ASD than in a child with typical development.CONCLUSION PAAS is an effective tool in screening for ASD.Further study is indicated to evaluate the feasibility of using this instrument for community screening for ASD.
文摘目的对脑卒中跌倒恐惧研究进行范围综述,找出该领域研究的空白点。方法采用范围综述的方法检索PubMed、Embase、Web of Science、Cochrane Library、CINAHL、中国生物医学文献服务系统、中国知网、维普网、万方数据库,检索时限均为建库至2023年9月17日,由2名研究者独立对文献资料进行筛选与提取。结果共纳入31篇文献,其中中文17篇,英文14篇,发表时间为2006年至2023年,分析总结跌倒恐惧对脑卒中患者的相关评估工具、影响因素及应对策略。结论本研究结果表明,跌倒恐惧严重影响脑卒中患者的生存质量,影响因素较为复杂,目前尚缺乏针对脑卒中这类专科疾病跌倒恐惧的评估工具,干预措施有待进一步完善和改进,未来可开展更多研究以规范和统一评估工具,制定科学、有效的应对策略。
