Remote Activity Monitoring Research Articles

Association of Daily Physical Activity with Cervical Spinal Cord Areas in Multiple Sclerosis (S27.009)

Association of Daily Physical Activity with Cervical Spinal Cord Areas in Multiple Sclerosis (S27.009)

Remote Activity Monitoring and Electronic Patient-Reported Outcomes Collection During Radiotherapy for Head and Neck Cancer: A Pilot Study.

Modern wearable devices provide objective and continuous activity data that could be leveraged to enhance cancer care. We prospectively studied the feasibility of monitoring physical activity using a commercial wearable device and collecting electronic patient-reported outcomes (ePROs) during radiotherapy (RT) for head and neck cancer (HNC). Patients planned for a course of external beam RT with curative intent for HNC were instructed to use a commercial fitness tracker throughout the RT course. During weekly clinic visits, physician-scored adverse events were recorded during using Common Terminology Criteria for Adverse Events version 4.0, and patients completed ePRO surveys using a clinic tablet or computer. Feasibility of activity monitoring was defined as collection of step data for at least 80% of the RT course for at least 80% of patients. Exploratory analyses described associations between step counts, ePROs, and clinical events. Twenty-nine patients with HNC were enrolled and had analyzable data. Overall, step data were recorded on 70% of the days during patients' RT courses, and there were only 11 patients (38%) for whom step data were collected on at least 80% of days during RT. Mixed effects linear regression models demonstrated declines in daily step counts and worsening of most PROs during RT. Cox proportional hazards models revealed a potential association between high daily step counts and both reduced risk of feeding tube placement (hazard ratio [HR], 0.87 per 1,000 steps, P < .001) and reduced risk of hospitalization (HR, 0.60 per 1,000 steps, P < .001). We did not achieve our feasibility end point, suggesting that rigorous workflows are required to achieve continuous activity monitoring during RT. Although limited by a modest sample size, our findings are consistent with previous reports indicating that wearable device data can help identify patients who are at risk for unplanned hospitalization.

Contemporary use of wearable activity monitors in prostate cancer survivors: A scoping review.

127 Background: Remote monitoring of daily activity using wearable activity monitors (“wearables”) (e.g., Fitbits) provides an unintrusive method to obtain continuous, objective physical activity (PA) and sleep data outside the clinical setting. Despite their potential for improving PA assessment for cancer survivors, there is currently limited information on how wearables are being used in PCa survivors. Thus, we reviewed the literature to understand how wearables are being integrated into research and interventional studies conducted in PCa survivors. Methods: We searched PubMed, CENTRAL, and Clinicaltrials.gov for randomized controlled trials (RCTs) and observational studies that involve commercially available wearables in PCa survivors, published between 2012 and 2022. Upon screening and full-text review by two independent reviewers, data were extracted from eligible studies, including study and patient characteristics, details on study interventions and outcomes, and purpose of device use. Baseline PA data were abstracted from articles with available quantitative data, including step counts, time spent in moderate-to-vigorous physical activity (MVPA), and sleep duration, and included in a quantitative analysis. Results: Eighty studies were screened and 17 studies met eligibility criteria and were included in this review (8 RCTs; 9 observational), with a total sample size of 1,148 PCa survivors (median age 66 years, range 39-84). Wearables used included: Fitbit: (47%), pedometer (18%), smartphone (6%), Jawbone (6%), and heart rate monitor (6%). Most studies (71%) involved individual or group-based exercise interventions that were either gym-based supervised by an exercise physiologist or home-based (online web-based delivery or written recommendations), as well as remotely delivered behavioral interventions. One study compared objective (actigraphy) and subjective sleep quality measures and one was a validation study comparing Fitbit to the ActiGraph accelerometer. Study durations ranged from 1-48 weeks with median reported adherence to wearing the device of 79.5% (range 63-100%). PA data, as measured with wearables, were available in 13 studies and summarized. Conclusions: Wearables are increasingly being used to assess daily activity and monitor adherence to exercise interventions in PCa survivors. Findings suggest wearables are feasible for use in this population with high levels of adherence. Wearables can provide added value to PA and functional assessment, although more research is needed to understand how wearables can be integrated into routine patient care or used as means to track or deliver tailored interventions for PCa survivors. [Table: see text]

Safety and tolerability of adjunct non-invasive vagus nerve stimulation in people with parkinson’s: a study protocol

BackgroundParkinson’s disease (PD) is the fastest growing neurological condition worldwide. Recent theories suggest that symptoms of PD may arise due to spread of Lewy-body pathology where the process begins in the gut and propagate transynaptically via the vagus nerve to the central nervous system. In PD, gait impairments are common motor manifestations that are progressive and can appear early in the disease course. As therapies to mitigate gait impairments are limited, novel interventions targeting these and their consequences, i.e., reducing the risk of falls, are urgently needed. Non-invasive vagus nerve stimulation (nVNS) is a neuromodulation technique targeting the vagus nerve. We recently showed in a small pilot trial that a single dose of nVNS improved (decreased) discrete gait variability characteristics in those receiving active stimulation relative to those receiving sham stimulation. Further multi-dose, multi-session studies are needed to assess the safety and tolerability of the stimulation and if improvement in gait is sustained over time.DesignThis will be an investigator-initiated, single-site, proof-of-concept, double-blind sham-controlled randomised pilot trial in 40 people with PD. Participants will be randomly assigned on a 1:1 ratio to receive either active or sham transcutaneous cervical VNS. All participants will undergo comprehensive cognitive, autonomic and gait assessments during three sessions over 24 weeks, in addition to remote monitoring of ambulatory activity and falls, and exploratory analyses of cholinergic peripheral plasma markers. The primary outcome measure is the safety and tolerability of multi-dose nVNS in PD. Secondary outcomes include improvements in gait, cognition and autonomic function that will be summarised using descriptive statistics.DiscussionThis study will report on the proportion of eligible and enrolled patients, rates of eligibility and reasons for ineligibility. Adverse events will be recorded informing on the safety and device tolerability in PD. This study will additionally provide us with information for sample size calculations for future studies and evidence whether improvement in gait control is enhanced when nVNS is delivered repeatedly and sustained over time.Trial registrationThis trial is prospectively registered at www.isrctn.com/ISRCTN19394828. Registered August 23, 2021.

P367 Significant impact on health care utilization upon implementation of an electronic IBD care management program.

Abstract Background The management of Inflammatory Bowel Diseases (IBD) remains to be a significant challenge because of its unpredictable clinical course and high associated costs. Recently, we implemented an electronic IBD care management program, provided by DEARhealth BV, which offers care-pathways that configurate according to individual IBD risk profiles, called THINK. High-risk (HR) IBD patients (current biochemical disease activity) will receive more intense monitoring and provider interactions compared to Low-risk (LR) (&amp;gt;3 years in remission) and Intermediate-risk (IR) (other patients) individuals (figure 1). In this project, before implementation of THINK, we aimed to assess whether 1. Current healthcare utilisation (HCU) (consultations, lab tests, calprotectin) differs between risk groups and 2, what the effect of implementing THINK would be on HCU (focused on consultations and laboratory tests) in a retrospective-analysed population. Methods 161 consecutive IBD patients in hospital A, categorized in either the HR or IR group, were studied prospectively during 1 year before implementation of THINK. HCU was captured using an electronical medical record (EMR) and included consultations, blood tests and calprotectin. Furthermore, HCU in the years 2018-2019 in the IBD population of hospital B was studied (extraction of EMR). This historical data was compared to the THINK care path (see figure 1) when optimal implemented. The analysis focused on the activities present in de THINK care pathway (consultations and laboratory tests) to uncover the potential of the electronic IBD care management program. Results Baseline characteristics for hospital A cohort (N=161) are summed in Table 1. We followed 102 patients (60 Crohn) in the IR group and 59 patients in the HR group (29 Crohn). As expected, significant more HCU was present in the HR group (table 2). In hospital B, the utilization impact assessment was performed in the IBD cohort of 543 Crohn and 495 colitis patients. A difference in clinic consults was observed of -52,7% (HR), -53.5% (IR) and -29,3% (LR). The difference in laboratory tests utilization was found -54,0% (HR), -27.8% (IR) and -3,1% (LR). Conclusion Our initial experiences with a novel IBD management program demonstrated the feasibility of accurate remote disease activity monitoring and significant impact on utilization patterns due to the risk-based care pathway configurations. However, the analysis shows the ideal fictive situation when using standardized care pathways which cannot fully be considered the real-time situation. In this analysis no unexpected events are included. Future research should investigate the realization of these predictions.

Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis

Background: Remote activity monitoring has the potential to evaluate real-world, motor function, and disability at home. The relationships of daily physical activity with spinal cord white matter and gray matter (GM) areas, multiple sclerosis (MS) disability and leg function, are unknown. Objective: Evaluate the association of structural central nervous system pathology with ambulatory disability. Methods: Fifty adults with progressive or relapsing MS with motor disability who could walk >2 minutes were assessed using clinician-evaluated, patient-reported outcomes, and quantitative brain and spinal cord magnetic resonance imaging (MRI) measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 days. Univariate and multivariate analyses were performed to assess correlations between physical activity and other disability metrics. Results: Mean age was 53.3 years and median Expanded Disability Status Scale (EDSS) was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures. Greater STEPS were significantly correlated with greater C2-C3 spinal cord GM areas (ρ = 0.39, p = 0.04), total cord area (TCA; ρ = 0.35, p = 0.04), and cortical GM volume (ρ = 0.32, p = 0.04). Conclusion These results provide preliminary evidence that spinal cord GM area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology.

Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease

ObjectiveThe objective of this pilot study was to examine the feasibility of a remote physical activity monitoring program, quantify baseline activity levels, and examine predictors of activity among rurally residing adults with Parkinson disease (PD) or stroke. DesignThirty-day observational study. Participants completed standardized assessments, connected a wearable device, and synced daily step counts via a remote monitoring platform. SettingCommunity-based remote monitoring. ParticipantsRurally residing adults with PD or stroke enrolled in the Veterans Health Administration. InterventionN/A. Main Outcome MeasuresFeasibility was evaluated using recruitment data (response rates), study completion (completed assessments and connected the wearable device), and device adherence (days recording ≥100 steps). Daily step counts were examined descriptively. Predictors of daily steps were explored across the full sample, then by diagnosis, using linear mixed-effects regression analyses. ResultsForty participants (n=20 PD; n=20 stroke) were included in the analysis with a mean (SD) age of 72.9 (7.6) years. Participants resided 252.6 (105.6) miles from the coordinating site. Recruitment response rates were 11% (PD) and 6% (stroke). Study completion rates were 71% (PD) and 80% (stroke). Device adherence rates were 97.0% (PD) and 95.2% (stroke). Participants with PD achieved a median [interquartile range] of 2618 [3896] steps per day and participants with stroke achieved 4832 [7383] steps. Age was the only significant predictor of daily steps for the full sample (-265 steps, 95% confidence interval [-407, -123]) and by diagnosis (PD, -175 steps, [-335, -15]; stroke, -357 steps [-603, -112]). ConclusionsA remote physical activity monitoring program for rurally residing individuals with PD or stroke was feasible. This study establishes a model for a scalable physical activity program for rural, older populations with neurologic conditions from a central coordinating site.

Feasibility of Remotely Monitoring Daily Physical Activity in Individuals with Acquired Brain Injury

<h3>Research Objectives</h3> Wearable physical activity monitors (PAM) are increasingly replacing traditional patient recall questionnaires to monitor physical activity in the community. Remote objective monitoring of physical activity is needed especially in the current times of the Covid-19 pandemic. While PAM are increasingly used in multiple populations, there is no information on the feasibility and challenges of using PAM to remotely monitor physical activity in individuals with acquired brain injury. The main goal of this research is to determine the usability, ease of use and identify challenges of using PAM for remotely monitoring objective physical activity in the community in individuals with acquired brain injury. <h3>Design</h3> Mixed methods research (4-weeks). <h3>Setting</h3> In the community (real-world). <h3>Participants</h3> Ten individuals with acquired-brain-injury (Stroke and TBI). <h3>Interventions</h3> All participants wore three (wrist, ankle, waist) ActiGraph GT9X Link PAM simultaneously for 4-weeks in the community and provided their feedback weekly. <h3>Main Outcome Measures</h3> Usability, ease of use, challenges. <h3>Results</h3> Participants rated all PAM to have good usability on the System Usability Scale. They gave the best possible score on the After Scenario Questionnaire after using the remote data hub which was used daily to transfer the data remotely to the research dashboard. Qualitative content analysis showed that most challenges reported were for wrist PAM and wear attachments were the most challenging aspect of using PAM in this population. <h3>Conclusions</h3> This research helps establish the framework and challenges of using PAM to remotely monitor objective physical activity in the community in individuals with acquired brain injury. Continuous monitoring of physical activity in the community is essential to evaluate the progress and the effect of rehab interventions and for tracking daily physical activity in individuals with acquired brain injury. <h3>Author(s) Disclosures</h3> No conflicts.

The Fourth Trimester: a Time for Enhancing Transitions in Cardiovascular Care.

Purpose of ReviewThe “fourth trimester” concept, defined as the first 12 weeks after delivery (and beyond), is a critical window of time for clinicians to intervene to optimize women’s cardiovascular health after pregnancy. A timely and comprehensive postpartum cardiovascular assessment should be performed in all women following delivery in order to (1) follow up medical conditions present prior to conception, (2) evaluate symptoms and signs of common postpartum complications, and (3) identify risk factors and prevent future adverse cardiovascular outcomes. In this review, we aim to discuss major maternal cardiovascular risk factors such as hypertensive disorders of pregnancy, gestational diabetes mellitus, postpartum weight retention, and postpartum depression, as well as lactation as a potential protective risk modifying factor. Additionally, we will review effectiveness of outpatient interventions to enhance transitions in cardiovascular care during the fourth trimester.Recent FindingsA seamless hand-off from obstetric to primary care, and potentially cardiology, is needed for early detection and management of hypertension, weight, glycemic control, stress and mood, and long-term cardiovascular risk. Additionally, the use of telemedicine, blood pressure self-monitoring, remote activity monitoring, and behavioral health coaches are potentially feasible modalities to augment clinic-based care for cardiovascular risk factors and weight management, but additional studies are needed to study their long-term effectiveness.SummaryDevelopment of a comprehensive postpartum care plan with careful consideration of each patient’s risk profile and access to resources is critical to improve maternal morbidity and mortality, reduce health disparities, and achieve long-term cardiovascular health for women. Supporting postpartum well-being of women during this transition period requires a multidisciplinary approach, especially primary care engagement, and planning should start before delivery.

Investigating Stroke Effects on Respiratory Parameters Using a Wearable Device: A Pilot Study on Hemiplegic Patients.

Quantitatively assessing personal health status is gaining increasing attention due to the improvement of diagnostic technology and the increasing occurrence of chronic pathologies. Monitoring physiological parameters allows for retrieving a general overview of the personal health status. Respiratory activity can provide relevant information, especially when pathologies affect the muscles and organs involved in breathing. Among many technologies, wearables may represent a valid solution for continuous and remote monitoring of respiratory activity, thus reducing healthcare costs. The most popular wearables used in this arena are based on detecting the breathing-induced movement of the chest wall. Therefore, their use in patients with impaired chest wall motion and abnormal respiratory kinematics can be challenging, but literature is still in its infancy. This study investigates the performance of a custom wearable device for respiratory monitoring in post-stroke patients. We tested the device on six hemiplegic patients under different respiratory regimes. The estimated respiratory parameters (i.e., respiratory frequency and the timing of the respiratory phase) demonstrated good agreement with the ones provided by a gold standard device. The promising results of this pilot study encourage the exploitation of wearables on these patients that may strongly impact the treatment of chronic diseases, such as hemiplegia.

Automated classification of sleep and wake from single day triaxial accelerometer data.

Actigraphy allows for the remote monitoring of subjects' activity for clinical and research purposes. However, most standard methods are built for proprietary measures from specific devices that are not widely used. In this study, we develop an algorithm for classifying sleep and awake using a single day of triaxial accelerometer data, which can be acquired from all smart devices. This algorithm consists of two stages, clustering and hidden Markov modeling, and outperforms standard algorithms in sensitivity (94%), specificity (93 %), and overall accuracy (93%) across seven subjects. This method can help automate actigraphy analyses at scale using widely available technology using even a single day's worth of data. Clinical Relevance- Automated monitoring of patients' activity at home can help track recovery trajectories after surgery and injury, disease progression, treatment response.

The Role of Remote Monitoring in Evaluating Fatigue in Multiple Sclerosis: A Review.

Fatigue is one of the most common multiple sclerosis (MS) symptoms. Despite this, monitoring and measuring fatigue (subjective lack of energy)– and fatigability (objectively measurable and quantifiable performance decline)– in people with MS have remained challenging. Traditionally, administration of self-report questionnaires during in-person visits has been used to measure fatigue. However, remote measurement and monitoring of fatigue and fatigability have become feasible in the past decade. Traditional questionnaires can be administered through the web in any setting. The ubiquitous availability of smartphones allows for momentary and frequent measurement of MS fatigue in the ecological home-setting. This approach reduces the recall bias inherent in many traditional questionnaires and demonstrates the fluctuation of fatigue that cannot be captured by standard measures. Wearable devices can assess patients' fatigability and activity levels, often influenced by the severity of subjective fatigue. Remote monitoring of fatigue, fatigability, and activity in real-world situations can facilitate quantifying symptom-severity in clinical and research settings. Combining remote measures of fatigue as well as objective fatigability in a single construct, composite score, may provide a more comprehensive outcome. The more granular data obtained through remote monitoring techniques may also help with the development of interventions aimed at improving fatigue and lowering the burden of this disabling symptom.

Remote monitoring of sleep activity in patients diagnosed with glioblastoma.

e14036 Background: Sleep disturbance is a common symptom experienced in patients diagnosed with glioblastoma (GBM) and has been correlated with poor physical and psychological outcomes. Advancements in wearable technologies have allowed for the opportunity to obtain objective measures of sleep quality outside of a laboratory setting. Thus, we conducted a secondary analysis of remotely monitored sleep data from a phase 1 study of newly diagnosed GBM patients following a classic ketogenic diet (KD) in addition to standard-of-care treatment. Methods: Patients with GBM were recruited between 04/2018-02/2021 to take part in a 16-week KD intervention with dietitian support. Patients’ physical activity (PA) (average step counts, duration of light/moderate/vigorous activity), nocturnal sleep data (total sleep time, restlessness and duration in light/deep/REM sleep), and sleep efficiency were collected through the use of a wearable activity monitor (Fitbit Charge HR3). Patient-reported quality of life (QoL) (QLQC30), PA, and sleep metrics were summarized at baseline, week 8, and week 16 (end of study). Correlation statistics were calculated between sleep measures, PA, and QoL outcomes. Results: Patients with available sleep data (n = 16) were included in the analysis (53% women, median age 55 years). Among the 16 included patients, adherence to wearing the device was 100% at baseline, 94% at 8 weeks, and 75% at week 16. Overall, mean sleep duration at baseline (days 1-7) was 6.5 hours (SD: 0.94) (n = 16), with an average sleep efficiency score of 92.9 (SD: 2.7), and an average number of sleep disturbances of 20.1 (SD: 6.7). Average duration in light, deep, and REM sleep (hours) was 4.6 (SD:0.98), 0.78 (SD:0.5), and 1.1 (SD:0.34), respectively. Longer baseline sleep duration was significantly correlated with daily step counts (correlation coefficient (r):0.55, p = 0.02), duration in PA (r: 0.55, p = 0.03), and improved QOL, although not statistically significant (r: 0.5, p = 0.06). Longer duration in REM sleep was also significantly correlated with higher patient-reported physical function (r: 0.64, p = 0.01), cognitive function (r: 0.61, p = 0.02), decreased fatigue (r: -0.67, p = 0.01), and increased duration in PA (r: 0.59, p = 0.01). Conclusions: Our findings suggest that it was feasible to remotely monitor sleep activity in this population. This cohort of GBM patients present with shorter sleep duration than the recommended 7 hours and as compared to adults living with cancer and other chronic disease. Significant correlations were observed between sleep outcomes, notably in regard to duration in REM sleep, PA levels, patient-reported physical and cognitive function and fatigue. The use of wearable technology can provide additional insight into a patient’s sleep patterns and inform the development of tailored interventions for sleep disturbances. Given the small sample size, further research is warranted to validate these findings. Clinical trial information: NCT03451799.

Association between remotely-monitored activity, patient-reported outcomes, and physical function in patients with advanced pancreatic cancer.

1572 Background: Patients with pancreatic ductal adenocarcinoma (PDAC) experience significant functional decline over the course of their treatment, which can negatively impact their quality of life (QOL) and clinical outcomes. There are currently no standardized methods to monitor physical function (PF) in PDAC patients outside the clinic setting. The use of wearable technology to obtain continuous and objective activity data combined with routine collection of patient-reported outcomes (PROs) provides an opportunity to monitor PF and intervene in a timely matter. Methods: We conducted a single-site, single-arm prospective study in advanced stage 3 and 4 PDAC patients between 2019 and 2/2022. Patients used a wrist-worn wearable activity monitor (Fitbit) continuously for 8 weeks and completed NIH PROMIS surveys (PF, pain, fatigue, sleep disturbance, and emotional distress) at baseline, week 4 and week 8. ECOG performance status (PS), hand grip strength, and timed 15-foot walk test were also assessed at each timepoint. Pearson correlation coefficients were calculated for activity data (step counts, distance, stairs, time spent sedentary and in light, moderate, or vigorous activity, sleep), PROs, and functional outcomes. Multivariable regression models, adjusted for age, sex, and cancer stage, were fit to evaluate associations between activity metrics, PROs, and functional outcomes. Multivariable cox proportional hazard models were fit to evaluate the impact of activity levels on survival. Results: A total of 40 patients consented onto study: 50% female, median age: 67 years (range 47-85), 92% ECOG 1. Baseline activity data are summarized in Table. Statistically significant correlations between step counts and PF T-scores (coeff: 0.6, p = 0.001) and lower pain scores (coeff: -0.53, p = 0.002) were observed. Increased stairs count and time spent in moderate and high physical activity were also positively correlated with increased PF (p&lt;0.001). No statistically significant correlations were observed between hand grip strength, activity metrics or PROs. Fewer average step counts and worse PF scores were significantly associated with poor survival with hazard ratios (HR) of 1.44 per 1000 steps (95% CI 1.06, 1.97, p = 0.02) and 1.69 (95% CI 1.1-2.56, p = 0.017), respectively, after adjusting for age, sex, stage, and ECOG PS. Conclusions: Findings from this research suggest that the use of wearable technology for remote monitoring of daily activity is feasible and may be used to supplement functional assessment and predict outcomes in PDAC patients. Larger trials are needed to validate findings. [Table: see text]

Making Every Step Count: Minute-by-Minute Characterization of Step Counts Augments Remote Activity Monitoring in People With Multiple Sclerosis.

BackgroundAmbulatory disability is common in people with multiple sclerosis (MS). Remote monitoring using average daily step count (STEPS) can assess physical activity (activity) and disability in MS. STEPS correlates with conventional metrics such as the expanded disability status scale (Expanded Disability Status Scale; EDSS), Timed-25 Foot walk (T25FW) and timed up and go (TUG). However, while STEPS as a summative measure characterizes the number of steps taken over a day, it does not reflect variability and intensity of activity.ObjectivesNovel analytical methods were developed to describe how individuals spends time in various activity levels (e.g., continuous low versus short bouts of high) and the proportion of time spent at each activity level.Methods94 people with MS spanning the range of ambulatory impairment (unaffected to requiring bilateral assistance) were recruited into FITriMS study and asked to wear a Fitbit continuously for 1-year. Parametric distributions were fit to minute-by-minute step data. Adjusted R2 values for regressions between distributional fit parameters and STEPS with EDSS, TUG, T25FW and the patient-reported 12-item MS Walking scale (MSWS-12) were calculated over the first 4-weeks, adjusting for sex, age and disease duration.ResultsDistributional fits determined that the best statistically-valid model across all subjects was a 3-compartment Gaussian Mixture Model (GMM) that characterizes the step behavior within 3 levels of activity: high, moderate and low. The correlation of GMM parameters for baseline step count measures with clinical assessments was improved when compared with STEPS (adjusted R2 values GMM vs. STEPS: TUG: 0.536 vs. 0.419, T25FW: 0.489 vs. 0.402, MSWS-12: 0.383 vs. 0.378, EDSS: 0.557 vs. 0.465). The GMM correlated more strongly (Kruskal-Wallis: p = 0.0001) than STEPS and gave further information not included in STEPS.ConclusionsIndividuals' step distributions follow a 3-compartment GMM that better correlates with clinic-based performance measures compared with STEPS. These data support the existence of high-moderate-low levels of activity. GMM provides an interpretable framework to better understand the association between different levels of activity and clinical metrics and allows further analysis of walking behavior that takes step distribution and proportion of time at three levels of intensity into account.

Outcomes of remote activity monitoring for persons living with dementia over an 18‐month period

Outcomes of remote activity monitoring for persons living with dementia over an 18‐month period

Feasibility of Wearable-Based Remote Monitoring in Patients During Intensive Treatment for Aggressive Hematologic Malignancies.

Intensive treatment protocols for aggressive hematologic malignancies harbor a high risk of serious clinical complications, such as infections. Current techniques of monitoring vital signs to detect such complications are cumbersome and often fail to diagnose them early. Continuous monitoring of vital signs and physical activity by means of an upper arm medical wearable allowing 24/7 streaming of such parameters may be a promising alternative. This single-arm, single-center observational trial evaluated symptom-related patient-reported outcomes and feasibility of a wearable-based remote patient monitoring. All wearable data were reviewed retrospectively and were not available to the patient or clinical staff. A total of 79 patients (54 inpatients and 25 outpatients) participated and received standard-of-care treatment for a hematologic malignancy. In addition, the wearable was continuously worn and self-managed by the patient to record multiple parameters such as heart rate, oxygen saturation, and physical activity. Fifty-one patients (94.4%) in the inpatient cohort and 16 (64.0%) in the outpatient cohort reported gastrointestinal symptoms (diarrhea, nausea, and emesis), pain, dyspnea, or shivering in at least one visit. With the wearable, vital signs and physical activity were recorded for a total of 1,304.8 days. Recordings accounted for 78.0% (63.0-88.5; median [interquartile range]) of the potential recording time for the inpatient cohort and 84.6% (76.3-90.2) for the outpatient cohort. Adherence to the wearable was comparable in both cohorts, but decreased moderately over time during the trial. A high adherence to the wearable was observed in patients on intensive treatment protocols for a hematologic malignancy who experience high symptom burden. Remote patient monitoring of vital signs and physical activity was demonstrated to be feasible and of primarily sufficient quality.

Telehealth Secure Solution to Provide Childhood Obesity Monitoring.

Childhood obesity causes not only medical and psychosocial problems, it also reduces the life expectancy of the adults that they will become. On a large scale, obese adults adversely affect labor markets and the gross domestic product of countries. Monitoring the growth charts of children helps to maintain their body weight within healthy parameters according to the World Health Organization. Modern technologies allow the use of telehealth to carry out weight control programs and monitoring to verify children’s compliance with the daily recommendations for risk factors that can be promoters of obesity, such as insufficient physical activity and insufficient sleep hours. In this work, we propose a secure remote monitoring and supervision scheme of physical activity and sleep hours for the children based on telehealth, multi-user networks, chaotic encryption, and spread spectrum, which, to our knowledge, is the first attempt to consider this service for safe pediatric telemedicine. In experimental results, we adapted a recent encryption algorithm in the literature for the proposed monitoring scheme using the assessment of childhood obesity as an application case in a multi-user network to securely send and receive fictitious parameters on childhood obesity of five users through the Internet by using just one communication channel. The results show that all the monitored parameters can be transmitted securely, achieving high sensitivity against secret key, enough secret key space, high resistance against noise interference, and 4.99 Mb/sec in computational simulations. The proposed scheme can be used to monitor childhood obesity in secure telehealth application.

The Effects of Remote Activity Monitoring on Family Caregivers of People Living With Dementia Over an 18-Month Period

Technology interventions for older persons and long-term care are generally utilized as real-time data capture tools to complement clinical or family care for older persons or as interventions themselves designed to improve important dementia care outcomes. Although research on novel technological interventions for people with Alzheimer's disease and related dementias (ADRD) and their family caregivers has grown considerably in the past two decades, much of this work continues to focus on design, feasibility, and acceptability (with a need for conceptual refinement in these areas) and less on controlled outcome studies. The objective of this experimental mixed methods demonstration was to determine the 18-month effectiveness of remote activity monitoring (RAM) technology in improving outcomes among family caregivers of community-dwelling persons with dementia. We used an embedded experimental mixed methods design, collecting qualitative data within the structure of a traditional randomized controlled trial ([QUAN+qual]→QUAN) over an 18-month period for 171 dementia caregivers. Change in caregiver self-efficacy, sense of competence, and caregiver distress served as the main quantitative outcomes of interest. Individual growth curve models indicated that the RAM technology did not have direct effects on caregiving outcomes, and although the qualitative findings indicated several potential moderators of RAM effectiveness on caregiving outcomes, the inclusion of these qualitatively-identified moderators did not result in statistically significant (p < .05) effects. Ensuring effective human care management alongside RAM technology may help to overcome the barriers reported by dementia caregivers in this demonstration study.

The Role of New Technological Opportunities and the Need to Evaluate the Activities Performed in the Prevention of Diabetic Foot with Exercise Therapy

The diabetic foot (DF) is one of the most feared conditions among chronic complications of diabetes, which affects a growing number of patients. Although exercise therapy (ET) has always been considered a pillar in the treatment of patients at risk of DF it is not usually used. Several causes can contribute to hindering both the organization of ET protocols for Diabetes Units and the participation in ET programs for patients at different levels of risk of foot ulceration. The risk of favoring the occurrence of ulcers and the absence of clear evidence on the role played by ET in the prevention of ulcers could be considered among the most important causes leading to the low application of ET. The increased availability of new technologies and in particular of systems and devices equipped with sensors can enable the remote monitoring and management of physical activity performed by patients. Consequently, they can become an opportunity for introducing the systematic use of ET for the treatment of patients at risk. Considering the complexity of the clinical conditions that patients at risk or with diabetic foot ulcer can show, the evaluation of how patients perform the ET proposed can consequently be very important. All this can contribute to improving the treatment of patients and avoiding possible adverse effects. The aim of this brief review was to describe that the use of new technologies and the assessment of the execution of the ET proposed allows an important step forward in the management of patients at risk.