TY -非盟的凯利,瑞安非盟-琼斯,西蒙盟——价格,布莱恩AU -卡茨,德米特里盟,麦考密克Ciaran AU -皮尔斯,奥利弗PY - 2021 DA - 2021/1/26 TI -测量每天遵守眼科手术患者的体力活动跟踪:比较分析五遵从性标准的乔- JMIR Mhealth Uhealth SP - e22846六世- 9 - 1 KW -活动跟踪KW -坚持KW -合规KW全膝关节置换术手术KW - AB -背景:像Fitbit这样的身体活动追踪器可以让临床医生监测病人手术后的恢复情况。在分析活动跟踪器数据时,一个重要的问题是确定患者每天佩戴其指定设备的依从性,使用适当的标准来确定佩戴的有效日期。然而,目前尚不清楚不同的标准如何影响门诊手术后康复患者的依从性。调查这个问题可以通过揭示可能影响合规性计算的因素来帮助了解活动数据的使用情况。目的:本研究旨在了解使用不同的标准如何影响门诊手术患者对活动跟踪的依从性。它还旨在调查解释不同依从性标准的结果之间差异的因素。方法:共有62名计划接受全膝关节置换术(TKA,即膝关节置换术)的患者自愿在8周的围手术期佩戴Fitbit Zip活动追踪器。患者被要求每天佩戴Fitbit Zip,从手术前2周开始,到手术后6周结束。在参与研究的62名患者中,有20人提供了Fitbit数据并成功接受了手术。 The Fitbit data were analyzed using 5 different daily compliance criteria, which consider patients as compliant with daily tracking if they either register >0 steps in a day, register >500 steps in a day, register at least one step in 10 different hours of the day, register >0 steps in 3 distinct time windows, or register >0 steps in 3 out of 4 six-hour time windows. The criteria were compared in terms of compliance outcomes produced for each patient. Data were explored using heatmaps and line graphs. Linear mixed models were used to identify factors that lead to variation between compliance outcomes across the sample. Results: The 5 compliance criteria produce different outcomes when applied to the patients’ data, with an average 24% difference in reported compliance between the most lenient and strictest criteria. However, the extent to which each patient’s reported compliance was impacted by different criteria was not uniform. Some individuals were relatively unaffected, whereas others varied by up to 72%. Wearing the activity tracker as a clip-on device, rather than on the wrist, was associated with greater differences between compliance outcomes at the individual level (P=.004, r=.616). This effect was statistically significant (P<.001) in the first 2 weeks after surgery. There was also a small but significant main effect of age on compliance in the first 2 weeks after surgery (P=.040). Gender and BMI were not associated with differences in individual compliance outcomes. Finally, the analysis revealed that surgery has an impact on patients’ compliance, with noticeable reductions in activity following surgery. These reductions affect compliance calculations by discarding greater amounts of data under strict criteria. Conclusions: This study suggests that different compliance criteria cannot be used interchangeably to analyze activity data provided by TKA patients. Surgery leads to a temporary reduction in patients’ mobility, which affects their reported compliance when strict thresholds are used. Reductions in mobility suggest that the use of lenient compliance criteria, such as >0 steps or windowed approaches, can avoid unnecessary data exclusion over the perioperative period. Encouraging patients to wear the device at their wrist may improve data quality by increasing the likelihood of patients wearing their tracker and ensuring that activity is registered in the 2 weeks after surgery. Trial Registration: ClinicalTrials.gov NCT03518866; https://clinicaltrials.gov/ct2/show/NCT03518866 SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2021/1/e22846/ UR - https://doi.org/10.2196/22846 UR - http://www.ncbi.nlm.nih.gov/pubmed/33496677 DO - 10.2196/22846 ID - info:doi/10.2196/22846 ER -
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