scholarly journals Evaluating the accuracy and utility of wearable technology to continuously monitor patients in a hospital setting: a systematic review (Preprint)

2019 ◽  
Author(s):  
Vikas Patel ◽  
Ani-Orchanian Cheff ◽  
Robert Wu

BACKGROUND The term ‘post-hospital syndrome’ has been used to describe the condition in which elderly patients are transiently frail after hospitalization and have a high chance of readmission. Since low activity and poor sleep contribute to ‘post-hospital syndrome’, continuous inpatient monitoring of these important parameters using affordable wearables may help and reduce this syndrome. While there have been systematic reviews of wearables for physical activity monitoring in the hospital setting, there is limited data on use of wearables measuring other parameters in hospitalized patients. OBJECTIVE This systematic review aimed to evaluate the utility and accuracy of wearable devices in their ability to monitor inpatients. METHODS This review incorporated a comprehensive search of seven databases and included articles which met the following inclusion criteria: inpatients above age 18, device studied in the articles had to be wearable technology and have at least one sensor, articles had to describe an element of continuous monitoring (greater than 24 hours) and monitoring had to include more than just physical activity. There were no restrictions on publication period, but only English language studies were included. From each study we extracted basic demographic information along with characteristics of the intervention. RESULTS From 2,012 articles that were screened, 15 articles met the selection criteria. All articles included were observational in design. Nine different commercial wearables, with various body locations, were examined in this review. The devices collectively measured 7 different health parameters across all studies. Only 6 studies validated their results against a reference device or standard. Of those that did validate results, many found that certain variables were inaccurate with wide limits of agreement. Heart rate and sleep had the most evidence for being valid in the hospital. Overall, wearable devices were found to be a feasible alternative for inpatient monitoring as 13 of the 15 studies had a mean participation completion rate greater than 80%. CONCLUSIONS Overall, assessment of studies in this review suggested that wearable devices showed promise in monitoring the heart rate and sleep of patients in hospital. The results demonstrate that many devices have not been validated in the inpatient setting, and amongst those that do, some wearable measurements were not found to be valid. Further research is needed to validate the wearable health variables in hospitalized patients and eventually determine whether these devices improve health outcomes.

2020 ◽  
Vol 273 ◽  
pp. 318-327 ◽  
Author(s):  
Gu Eon Kang ◽  
Michelle A. Patriquin ◽  
Hung Nguyen ◽  
Hyuntaek Oh ◽  
Katrina A. Rufino ◽  
...  

2015 ◽  
Vol 12 (1) ◽  
pp. 132-138 ◽  
Author(s):  
Renee M. Jeffreys ◽  
Thomas H. Inge ◽  
Todd M. Jenkins ◽  
Wendy C. King ◽  
Vedran Oruc ◽  
...  

Background:The accuracy of physical activity (PA) monitors to discriminate between PA, sedentary behavior, and nonwear in extremely obese (EO) adolescents is unknown.Methods:Twenty-five subjects (9 male/16 female; age = 16.5 ± 2.0 y; BMI = 51 ± 8 kg/m2) wore 3 activity monitors (StepWatch [SAM], Actical [AC], Actiheart [AH]) during a 400-m walk test (400MWT), 2 standardized PA bouts of varying duration, and 1 sedentary bout.Results:For the 400MWT, percent error between observed and monitor-recorded steps was 5.5 ± 7.1% and 82.1 ± 38.6% for the SAM and AC steps, respectively (observed vs. SAM steps: −17.2 ± 22.2 steps; observed vs. AC steps: −264.5 ± 124.8 steps). All activity monitors were able to differentiate between PA and sedentary bouts, but only SAM steps and AH heart rate were significantly different between sedentary behavior and nonwear (P < .001). For all monitors, sedentary behavior was characterized by bouts of zero steps/counts punctuated by intermittent activity steps/counts; nonwear was represented almost exclusively by zero steps/counts.Conclusion:Of all monitors tested, the SAM was most accurate in terms of counting steps and differentiating levels of PA and thus, most appropriate for EO adolescents. The ability to accurately characterize PA intensity in EO adolescents critically depends on activity monitor selection.


2018 ◽  
Author(s):  
Jin-Ming Wu ◽  
Te-Wei Ho ◽  
Yao-Ting Chang ◽  
ChungChieh Hsu ◽  
Chia Jui Tsai ◽  
...  

BACKGROUND Surgical cancer patients often have deteriorated physical activity (PA), which in turn, contributes to poor outcomes and early recurrence of cancer. Mobile health (mHealth) platforms are progressively used for monitoring clinical conditions in medical subjects. Despite prevalent enthusiasm for the use of mHealth, limited studies have applied these platforms to surgical patients who are in much need of care because of acutely significant loss of physical function during the postoperative period. OBJECTIVE The aim of our study was to determine the feasibility and clinical value of using 1 wearable device connected with the mHealth platform to record PA among patients with gastric cancer (GC) who had undergone gastrectomy. METHODS We enrolled surgical GC patients during their inpatient stay and trained them to use the app and wearable device, enabling them to automatically monitor their walking steps. The patients continued to transmit data until postoperative day 28. The primary aim of this study was to validate the feasibility of this system, which was defined as the proportion of participants using each element of the system (wearing the device and uploading step counts) for at least 70% of the 28-day study. “Definitely feasible,” “possibly feasible,” and “not feasible” were defined as ≥70%, 50%-69%, and <50% of participants meeting the criteria, respectively. Moreover, the secondary aim was to evaluate the clinical value of measuring walking steps by examining whether they were associated with early discharge (length of hospital stay <9 days). RESULTS We enrolled 43 GC inpatients for the analysis. The weekly submission rate at the first, second, third, and fourth week was 100%, 93%, 91%, and 86%, respectively. The overall daily submission rate was 95.5% (1150 days, with 43 subjects submitting data for 28 days). These data showed that this system met the definition of “definitely feasible.” Of the 54 missed transmission days, 6 occurred in week 2, 12 occurred in week 3, and 36 occurred in week 4. The primary reason for not sending data was that patients or caregivers forgot to charge the wearable devices (>90%). Furthermore, we used a multivariable-adjusted model to predict early discharge, which demonstrated that every 1000-step increment of walking on postoperative day 5 was associated with early discharge (odds ratio 2.72, 95% CI 1.17-6.32; P=.02). CONCLUSIONS Incorporating the use of mobile phone apps with wearable devices to record PA in patients of postoperative GC was feasible in patients undergoing gastrectomy in this study. With the support of the mHealth platform, this app offers seamless tracing of patients’ recovery with a little extra burden and turns subjective PA into an objective, measurable parameter.


PM&R ◽  
2021 ◽  
Author(s):  
Akhila Veerubhotla ◽  
Amanda Krantz ◽  
Oluwaseun Ibironke ◽  
Rakesh Pilkar

2020 ◽  
Vol 6 (1) ◽  
pp. 1742517
Author(s):  
Vassil Girginov ◽  
Philip Moore ◽  
Nils Olsen ◽  
Tarryn Godfrey ◽  
Frances Cooke

PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0154335 ◽  
Author(s):  
Valerie A. J. Block ◽  
Erica Pitsch ◽  
Peggy Tahir ◽  
Bruce A. C. Cree ◽  
Diane D. Allen ◽  
...  

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