5 The limitations of using commercial wearable activity trackers, such as FitBits, for the clinical monitoring of patient activity levels

Olivia Curtis
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While specifically designed medical devices exist, commercial wearable activity trackers (WAT), such as FitBits, are cheap, easy to use, and patients may already use them for lifestyle advice so their value in clinical intervention is of interest.The feasibility of using commercial WAT for daily monitoring within a tertiary oncology centre was investigated, including limitations of non-medical devices, such as data collection and synchronisation errors.MethodsParticipants were recruited for a study that investigated if remote monitoring of step counts was feasible and acceptable. Patients with advanced lung, upper and lower gastrointestinal cancer, or mesothelioma who were starting a new line of systemic anti-cancer treatment were recruited between December 2020 and December 2021.Once recruited, participants were provided with a FitBit Inspire HR or Inspire 2 and asked to wear it every day for a 16-week monitoring period. Pseudo-anonymous accounts were created to register the FitBits without sharing patient identifiable data and the devices were set up to automatically synchronise data to the cloud-based platform, Fitabase, via their smartphone.Steps were monitored on every workday and the ability to record heart rate was used as a proxy marker for compliance as it confirmed that the device was being worn. A day was considered complaint if the device was worn for >70% of waking hours, assumed for purpose of trial to be 7am to 10pm.The manufacturer or age of the participant’s smartphone was not recorded. Previous discussions with FitBit regarding synchronisation issues had highlighted potential clashes with other Bluetooth devices preventing automatic synchronisation so use of other such devices was documented.ResultsForty-seven patients were recruited and 43 were eligible for ongoing monitoring. Average age was 66 (SD 9) and majority were men (72%). Twenty-nine patients completed the maximum 112 days of monitoring.Patients were eligible for monitoring on 3855 days. Of these, synchronisation errors occurred on 482 days (13%) and all data from the previous 24 hours was missing on 275 days (7%) due to synchronisation not occurring on the day on monitoring. Only 5 (11%) of participants did not have synchronisation errors during their monitoring period. The median number of synchronisation errors per patient was 8 and maximum of 49, which accounted for 64% of that participant’s monitored days. One participant was withdrawn due to 100% synchronisation error over the first seven monitored days.Twenty-two participants (47%) used other Bluetooth devices but there was no correlation between their use and synchronisation errors (r=-0.32), nor significant difference in synchronisation error rate (p=0.08).562 days (15%) were considered non-compliant as heart rate was documented for less than 70% of the waking hour period. When synchronisation errors were removed, however, only 216 days (7%) were truly non-compliant due to the patient not wearing the device, rather than not having access to the data.ConclusionThis study has revealed a potential limitation of using commercial wearable activity trackers, such as FitBits, for clinical monitoring. While compliance with monitoring was good and matched previous reports on compliance at over 80%, the loss of data due to synchronisation errors reduced perceived compliance and, importantly for clinical interventions, reduced data available for immediate action.Correcting these issues and restarting the automatic synchronisation was not a complex procedure but did necessitate a telephone call with the participant to manually synchronise the device, restart their smartphone or occasionally reinstall the app, which added to the participant burden of the investigation and overwhelmed the technological abilities of some participants. Currently, it is not clear wha causes these synchronisation errors and, therefore, it is not possible to select patients who would be more suitable for this intervention.The frequency of synchronisation errors mean that it is not feasible to use commercially available WAT for remote monitoring of patients and caution is needed if the results are used to guide clinical intervention, rather than simply offer lifestyle advice.","PeriodicalId":116980,"journal":{"name":"Part I: ePapers","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Part I: ePapers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjhci-2022-fciasc.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

ObjectiveThere is increasing interest in remote monitoring of patients within the comfort and safety of their homes or care homes and became more pertinent during the COVID-19 pandemic to reduce hospital footfall and staff risk. While specifically designed medical devices exist, commercial wearable activity trackers (WAT), such as FitBits, are cheap, easy to use, and patients may already use them for lifestyle advice so their value in clinical intervention is of interest.The feasibility of using commercial WAT for daily monitoring within a tertiary oncology centre was investigated, including limitations of non-medical devices, such as data collection and synchronisation errors.MethodsParticipants were recruited for a study that investigated if remote monitoring of step counts was feasible and acceptable. Patients with advanced lung, upper and lower gastrointestinal cancer, or mesothelioma who were starting a new line of systemic anti-cancer treatment were recruited between December 2020 and December 2021.Once recruited, participants were provided with a FitBit Inspire HR or Inspire 2 and asked to wear it every day for a 16-week monitoring period. Pseudo-anonymous accounts were created to register the FitBits without sharing patient identifiable data and the devices were set up to automatically synchronise data to the cloud-based platform, Fitabase, via their smartphone.Steps were monitored on every workday and the ability to record heart rate was used as a proxy marker for compliance as it confirmed that the device was being worn. A day was considered complaint if the device was worn for >70% of waking hours, assumed for purpose of trial to be 7am to 10pm.The manufacturer or age of the participant’s smartphone was not recorded. Previous discussions with FitBit regarding synchronisation issues had highlighted potential clashes with other Bluetooth devices preventing automatic synchronisation so use of other such devices was documented.ResultsForty-seven patients were recruited and 43 were eligible for ongoing monitoring. Average age was 66 (SD 9) and majority were men (72%). Twenty-nine patients completed the maximum 112 days of monitoring.Patients were eligible for monitoring on 3855 days. Of these, synchronisation errors occurred on 482 days (13%) and all data from the previous 24 hours was missing on 275 days (7%) due to synchronisation not occurring on the day on monitoring. Only 5 (11%) of participants did not have synchronisation errors during their monitoring period. The median number of synchronisation errors per patient was 8 and maximum of 49, which accounted for 64% of that participant’s monitored days. One participant was withdrawn due to 100% synchronisation error over the first seven monitored days.Twenty-two participants (47%) used other Bluetooth devices but there was no correlation between their use and synchronisation errors (r=-0.32), nor significant difference in synchronisation error rate (p=0.08).562 days (15%) were considered non-compliant as heart rate was documented for less than 70% of the waking hour period. When synchronisation errors were removed, however, only 216 days (7%) were truly non-compliant due to the patient not wearing the device, rather than not having access to the data.ConclusionThis study has revealed a potential limitation of using commercial wearable activity trackers, such as FitBits, for clinical monitoring. While compliance with monitoring was good and matched previous reports on compliance at over 80%, the loss of data due to synchronisation errors reduced perceived compliance and, importantly for clinical interventions, reduced data available for immediate action.Correcting these issues and restarting the automatic synchronisation was not a complex procedure but did necessitate a telephone call with the participant to manually synchronise the device, restart their smartphone or occasionally reinstall the app, which added to the participant burden of the investigation and overwhelmed the technological abilities of some participants. Currently, it is not clear wha causes these synchronisation errors and, therefore, it is not possible to select patients who would be more suitable for this intervention.The frequency of synchronisation errors mean that it is not feasible to use commercially available WAT for remote monitoring of patients and caution is needed if the results are used to guide clinical intervention, rather than simply offer lifestyle advice.
5 .使用商业可穿戴活动追踪器(如FitBits)用于临床监测患者活动水平的局限性
目的在2019冠状病毒病(COVID-19)大流行期间,人们对在舒适和安全的家中或护理院对患者进行远程监控的兴趣越来越大,这对于减少医院客流量和员工风险变得更加重要。虽然专门设计的医疗设备已经存在,但商业可穿戴活动追踪器(WAT),如FitBits,价格便宜,易于使用,患者可能已经在使用它们来提供生活方式建议,因此它们在临床干预中的价值值得关注。研究了在三级肿瘤学中心内使用商业WAT进行日常监测的可行性,包括非医疗设备的限制,如数据收集和同步错误。方法招募参与者进行一项研究,调查远程监测步数是否可行和可接受。在2020年12月至2021年12月期间招募了晚期肺癌、上、下胃肠道癌或间皮瘤患者,这些患者正在开始新的系统性抗癌治疗。一经招募,参与者就被提供FitBit Inspire HR或Inspire 2,并被要求在16周的监测期内每天佩戴它。在不共享患者身份数据的情况下,他们创建了假匿名账户来注册FitBits,这些设备被设置为通过智能手机自动将数据同步到基于云的平台Fitabase。每个工作日都会监测步数,记录心率的能力被用作依从性的代理标记,因为它确认了该设备正在被佩戴。如果佩戴该设备的时间占醒着时间的70%,那么一天就被认为是抱怨,为了进行试验,假设是早上7点到晚上10点。没有记录参与者智能手机的制造商或年龄。先前与FitBit关于同步问题的讨论强调了与其他蓝牙设备的潜在冲突,从而阻止了自动同步,因此记录了其他此类设备的使用。结果共纳入47例患者,其中43例符合持续监测条件。平均年龄66岁(SD 9),多数为男性(72%)。29例患者完成了最长112天的监测。患者有资格在3855天进行监测。其中,有482天(13%)发生了同步错误,有275天(7%)由于监测当天没有发生同步而丢失了前24小时的所有数据。只有5(11%)的参与者在监测期间没有同步错误。每位患者同步错误的中位数为8次,最多为49次,占该参与者监测天数的64%。一名参与者因在前7天监测的100%同步错误而退出。22名参与者(47%)使用其他蓝牙设备,但他们的使用和同步错误之间没有相关性(r=-0.32),同步错误率也没有显著差异(p=0.08)。562天(15%)被认为不合规,因为记录的心率少于醒着时间的70%。然而,当同步错误被移除时,只有216天(7%)的患者真正不合规,因为他们没有佩戴设备,而不是没有访问数据。这项研究揭示了使用商业可穿戴活动追踪器(如FitBits)进行临床监测的潜在局限性。虽然对监测的依从性很好,并且与先前的依从性报告相匹配,超过80%,但由于同步错误导致的数据丢失降低了感知的依从性,并且对于临床干预来说,重要的是减少了可用于立即行动的数据。纠正这些问题并重新启动自动同步并不是一个复杂的过程,但确实需要与参与者打电话手动同步设备,重新启动他们的智能手机或偶尔重新安装应用程序,这增加了参与者的调查负担,并超出了一些参与者的技术能力。目前,尚不清楚是什么原因导致了这些同步错误,因此,不可能选择更适合这种干预的患者。同步错误的频率意味着使用商业上可获得的WAT对患者进行远程监测是不可行的,如果结果用于指导临床干预,而不是简单地提供生活方式建议,则需要谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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