OBJECTIVE: To determine whether measures of physical capacity can help identify inpatients for whom wearable physical activity monitors may accurately measure step count.
METHODS: Prospective observational study of 54 adult inpatients with acute neurological diagnoses. Patients were assessed using 2 physical capacity assessments (Activity Measure for Post-Acute Care Inpatient Mobility Short Form [AM-PAC IMSF] and Katz Activities of Daily Living [ADL] scale). They also completed a 2-minute walk test (2MWT) wearing a consumer grade physical activity monitor.
RESULTS: The wearable activity monitor recorded steps (initiated) in 33 (61%) of the inpatients, and for 94% of inpatients with gait speeds >0.43 m/s. Physical capacity assessments correlated well with gait speed, AM-PAC IMSF r = 0.7, and Katz ADL r = 0.6, p < 0.05. When the physical activity monitor initiated, the mean absolute percent error (SD) comparing device calculated steps to observed steps, was 10% (13). AM-PAC IMSF (T-score >45) and Katz ADL (>5) cutoff scores identified inpatients for whom physical activity monitors initiated with a sensitivity of 94 and 91%, respectively.
CONCLUSIONS: Physical capacity assessments, such as AM-PAC, and Katz ADL, may be a useful and feasible screening strategy to help identify inpatients where wearable physical activity monitors can measure their mobility.
目的:确定身体容量测量是否可以帮助识别可穿戴身体活动监测器可以准确测量步数的住院患者。
方法:对54例急性神经学诊断成人住院患者进行前瞻性观察研究。使用2种身体能力评估对患者进行评估(急性护理后住院患者流动性活动量表简表[AM-PACIMSF]和Katz日常生活活动量表[ADL]量表)。他们还完成了2分钟步行测试(2MWT),佩戴了消费级身体活动监测器。
结果:可穿戴活动监护仪记录了33(61%)住院患者的步骤(启动),94%的住院患者步态速度>0.43m/s。身体能力评估与步态速度密切相关,AM-PACIMSFr=0.7,KatzADLr=0.6,p<0.05。当身体活动监测器启动时,将设备计算步骤与观察步骤进行比较的平均绝对百分比误差(SD),10%(13)。AM-PACIMSF(T-score>45)和KatzADL(>5)截止分数确定了以94%和91%的灵敏度启动身体活动监测器的住院患者,分别。
结论:身体能力评估,例如AM-PAC,和KatzADL,可能是一个有用的和可行的筛查策略,以帮助识别可穿戴的身体活动监测器可以测量他们的移动性的住院患者。