A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.

The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional neural networks (CNN). The work tackles important RPM concerns such early health issue diagnosis and accurate real-time physiological data collection and analysis using wearable IoT devices. By assessing important health factors like heart rate, blood pressure, pulse, temperature, activity level, weight management, respiration rate, medication adherence, sleep patterns, and oxygen levels, the suggested Remote Patient Monitor Model (RPMM) attains a noteworthy accuracy of 97.23%. The model's capacity to identify spatial and temporal relationships in health data is improved by novel techniques such as the use of CNN for spatial analysis and feature extraction and LSTM for temporal sequence modeling. Early intervention is made easier by this synergistic approach, which enhances trend identification and anomaly detection in vital signs. A variety of datasets are used to validate the model's robustness, highlighting its efficacy in remote patient care. This study shows how using ensemble models' advantages might improve health monitoring's precision and promptness, which would eventually benefit patients and ease the burden on healthcare systems.

Evaluation of a Remote Patient Monitoring Program During the COVID-19 Pandemic: Retrospective Case Study With a Mixed Methods Explanatory Sequential Design.

BACKGROUND: Community health center (CHC) patients experience a disproportionately high prevalence of chronic conditions and barriers to accessing technologies that might support the management of these conditions. One such technology includes tools used for remote patient monitoring (RPM), the use of which surged during the COVID-19 pandemic. OBJECTIVE: The aim of this study was to assess how a CHC implemented an RPM program during the COVID-19 pandemic. METHODS: This retrospective case study used a mixed methods explanatory sequential design to evaluate a CHC's implementation of a suite of RPM tools during the COVID-19 pandemic. Analyses used electronic health record-extracted health outcomes data and semistructured interviews with the CHC's staff and patients participating in the RPM program. RESULTS: The CHC enrolled 147 patients in a hypertension RPM program. After 6 months of RPM use, mean systolic blood pressure (BP) was 13.4 mm Hg lower and mean diastolic BP 6.4 mm Hg lower, corresponding with an increase in hypertension control (BP<140/90 mm Hg) from 33.3% of patients to 81.5%. Considerable effort was dedicated to standing up the program, reinforced by organizational prioritization of chronic disease management, and by a clinician who championed program implementation. Noted barriers to implementation of the RPM program were limited initial training, lack of sustained support, and complexities related to the RPM device technology. CONCLUSIONS: While RPM technology holds promise for addressing chronic disease management, successful RPM program requires substantial investment in implementation support and technical assistance.

Patient perceptions of remote patient monitoring program for hypertensive disorders of pregnancy.

PURPOSE: The utilization of remote patient monitoring (RPM) with home blood pressure monitoring has shown improvement in blood pressure control and adherence with follow-up visits. Patient perceptions regarding its use in the obstetric population have not been widely studied. The aim of this study was to assess patients' knowledge about hypertensive disorders of pregnancy and perceptions and satisfaction of the RPM program. METHODS: Descriptive analysis of survey responses of patients with PPHTN enrolled into the RPM program for 6 weeks after delivery between October 2021 and April 2022. Surveys were automatically administered at 1-, 3-, and 6-week postpartum. Responses were further compared between Black and non-Black patient-reported race. RESULTS: 545 patients received the RPM program. Of these, 306 patients consented to data collection. At 1 week, 88% of patients that responded reported appropriately that a blood pressure greater than 160/110 is abnormal. At 3 weeks, 87.4% of patients responded reported they were "very" or "somewhat" likely to attend their postpartum follow-up visits because of RPM. At 6 weeks, 85.5% of the patients that responded were "very" or "somewhat" satisfied with the RPM program. Responses were not statistically different between races. CONCLUSIONS: Majority of postpartum patients enrolled in the RPM program had correct knowledge about hypertension. In addition, patients were highly satisfied with the RPM program and likely to attend postpartum follow-up based on responses. Further research is warranted to validate these findings and to address any barriers for patients who did not utilize the program.

Patient experience in a remote patient monitoring program for hypertension: A qualitative study.

BACKGROUND: Remote patient monitoring (RPM), which includes out-of-office blood pressure (BP) measurement, coupled with interventions including telehealth and team-based care, is recommended for hypertension (HTN) management. We aimed to assess participant experience with RPM for HTN (RPM-HTN) to understand barriers and facilitators to implementing RPM-HTN in a primary care population where health disparities and social inequities are prevalent. METHODS: This is a qualitative implementation study of participants' experiences with an RPM-HTN program for primary care patients with uncontrolled HTN at an academic health system. We recruited participants with high and low levels of engagement (≥16 or <16 days of transmitted BP readings per month). Semi-structured interviews were conducted, and descriptive statistics and rapid qualitative analysis were used to identify factors affecting the implementation of RPM-HTN, specifically adoption, acceptability, appropriateness, and feasibility. RESULTS: Multiple themes emerged from interviews with 14 participants. A doctor's recommendation and wanting help with BP management were facilitators for engagement, while work conflicts and forgetfulness were barriers to engagement. Participants enjoyed the format and content of nurse and clinical pharmacist phone calls and forming a relationship with the team; expressed improved understanding of HTN and BP management; and appreciated the convenience of remote monitoring. CONCLUSIONS: Participants found RPM-HTN acceptable and appropriate, highlighting the team-based and out-of-office approach to care. This study provides actionable targets to overcome feasibility barriers to implementation. In order to increase engagement, RPM policies and procedures should take into account barriers including the quantity of required BP measurements and mechanisms of telehealth communication.

Cellular-Enabled Remote Patient Monitoring for Pregnancies Complicated by Hypertension.

Introduction: Unmanaged hypertension in pregnancy is the second most common cause of direct maternal death and disproportionately affects women in rural areas. While telehealth technologies have worked to reduce barriers to healthcare, lack of internet access has created new challenges. Cellular-enabled remote patient monitoring devices provide an alternative option for those without access to internet. Objective: This study aimed to assess maternal and neonatal clinical outcomes and patient acceptability of an integrated model of cellular-enabled remote patient monitoring devices for blood pressure supported by a 24/7 nurse call center. Methods: In a mixed-methods study, 20 women with hypertension during pregnancy were given a cellular-enabled BodyTrace blood pressure cuff. Participants' blood pressures were continuously monitored by a nurse call center. Participants completed a baseline survey, post-survey, and semi-structured interview after 8 weeks of device use. Results: Participants reported a significant decrease in perceived stress after device use (P = .0004), high satisfaction with device usability (mean = 78.38, SD = 13.68), and high intention to continue device use (mean = 9.05, SD = 1.96). Relatively low hospitalization and emergency department rates was observed (mean = 0.35, SD = 0.59; mean = 0.75, SD = 0.91). Participant-perceived benefits of device use included convenience, perceived better care owing to increased monitoring, and patient empowerment. Perceived disadvantages included higher blood pressure readings compared to clinical readings and excessive calls from call center. Conclusion: Remote patient monitoring for women whose pregnancies are complicated by hypertension can reduce barriers and improve health outcomes for women living in rural and low-health-resource areas.

A Comprehensive Review on Advancements in Wearable Technologies: Revolutionizing Cardiovascular Medicine.

Wearable technologies have emerged as powerful tools in healthcare, offering continuous monitoring and personalized insights outside traditional clinical settings. These devices have garnered significant attention in cardiovascular medicine for their potential to transform patient care and improve outcomes. This comprehensive review provides an overview of wearable technologies' evolution, advancements, and applications in cardiovascular medicine. We examine the miniaturization of sensors, integration of artificial intelligence (AI), and proliferation of remote patient monitoring solutions. Key findings include the role of wearables in the early detection of cardiovascular conditions, personalized health tracking, and remote patient management. Challenges such as data privacy concerns and regulatory hurdles are also addressed. The adoption of wearable technologies holds promise for shifting healthcare from reactive to proactive, enabling precision diagnostics, treatment optimization, and preventive strategies. Collaboration among healthcare stakeholders is essential to harnessing the full potential of wearables in cardiovascular medicine and ushering in a new era of personalized, proactive healthcare.

Impact of Remote Patient Monitoring Systems on Nursing Time, Healthcare Providers, and Patient Satisfaction in General Wards.

INTRODUCTION: Remote patient monitoring systems (RPMS) are increasingly integrated into hospital wards to improve patient safety and reduce the workload on healthcare professionals (HCPs). This study evaluates the efficacy of RPMS in general wards, focusing on their impact on nursing efficiency, patient care, HCPs, and patient satisfaction. METHODS: A comprehensive time-motion study was conducted along with surveys targeting HCPs and patients in M.S. Ramaiah Memorial Hospital, Bangalore, India, which has implemented RPMS in general wards. The study involved observing and comparing nursing activities in RPMS-equipped wards versus control wards without RPMS across various shifts. In addition, feedback on the system's impact on patient safety, overall care quality, and usability was gathered through a survey form. RESULTS: RPMS decreases the amount of time nurses spend on routine monitoring, communication, and coordination, enabling a 43.11% increase in time available for patient care. More than 89% of HCPs noted improvements in the level of care and overall patient safety. More than 80% of the HCPs also noted improvement in the patient's experience. More than 50% of HCPs find RPMS easy to use and user-friendly. More than 60% of the patients noted an overall improvement in care quality. CONCLUSION: RPMS has proven to be a valuable asset in hospital wards, enhancing patient monitoring and safety while reducing the workload on staff. In addition, significant time savings on routine tasks and high satisfaction levels from both staff and patients underscore the system's benefits.

Feasibility of Observing Cerebrovascular Disease Phenotypes with Smartphone Monitoring: Study Design Considerations for Real-World Studies.

Accelerated by the adoption of remote monitoring during the COVID-19 pandemic, interest in using digitally captured behavioral data to predict patient outcomes has grown; however, it is unclear how feasible digital phenotyping studies may be in patients with recent ischemic stroke or transient ischemic attack. In this perspective, we present participant feedback and relevant smartphone data metrics suggesting that digital phenotyping of post-stroke depression is feasible. Additionally, we proffer thoughtful considerations for designing feasible real-world study protocols tracking cerebrovascular dysfunction with smartphone sensors.

Detecting early signs of deterioration and preventing hospitalizations in skilled nursing facilities using remote respiratory monitoring.

An increase in respiratory rate (RR) can be an early indicator of clinical deterioration, yet it remains an often-neglected vital sign. The most common way of measuring RR is by manually counting chest-wall movements, a time-consuming and error-prone process. Staffing and funding shortages, particularly in post-acute and long-term care, mean these RR measurements are often infrequent, potentially leading to missed diagnoses and preventable readmissions. Here we present a case series from skilled nursing facilities, highlighting how continuous respiratory monitoring using a contactless remote patient monitoring (RPM) system can support clinicians in initiating timely interventions, potentially reducing preventable hospitalizations, mortality, and associated financial implications.

Use of eHealth and remote patient monitoring: a tool to support home dialysis patients, with an emphasis on peritoneal dialysis.

Implementing eHealth requires technological advancement, universal broadband and internet access, and devices to conduct telemedicine and remote patient monitoring in end-stage kidney disease patients receiving home dialysis. Although eHealth was beginning to make inroads in this patient population, the COVID-19 pandemic spurred telemedicine usage when many regulations were waived during the Public Health Emergency to limit the spread of infection by endorsing social distancing. At the same time, two-way communication automatic peritoneal dialysis cyclers were introduced to advance remote patient monitoring. Despite the numerous advantages and potential benefits afforded by both procedures, challenges and untapped resources remain to be addressed. Continuing research to assess the use of eHealth and technological innovation can make eHealth a powerful tool in home dialysis. We review the past, present and future of eHealth and remote patient monitoring in supporting home dialysis.

Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation therapy platform.

Introduction: Dizziness is a growing public health concern with as many as 95 million adults in Europe and the United States experiencing vestibular hypofunction, which is associated with reduced quality of life, poorer health, and falls. Vestibular rehabilitation therapy (VRT) is effective in reducing symptoms and improving balance; however, limited access to qualified clinicians and poor patient adherence impedes optimal delivery. The goal of this study was to develop and evaluate the feasibility of a remote therapeutic monitoring VRT Platform application (APP) for the assessment and treatment of vestibular dysfunction. Methods: User-centered iterative design process was used to gather and integrate the needs of users (clinicians and patients) into the design at each stage of development. Commonly used vestibular patient-reported outcome measures (PROs) were integrated into the APP and adults with chronic dizziness were enrolled to evaluate validity and reliability of the APP compared to standard clinical measures (CLIN). Gaze stabilization exercises were gamified to provide an engaging experience and an off-the-shelf sensor captured eye and head movement to provide feedback on accuracy of performance. A prospective, pilot study design with pre-and post-treatment assessment assessed feasibility of the APP compared to standard VRT (CLIN). Results: Participants with dizziness wanted a summary rehabilitation report shared with their clinicians, felt that an app could help with accountability, and believed that a gaming format might help with exercise adherence. Clinicians felt that the app should include features to record and track eye and head movement, monitor symptoms, score accuracy of task performance, and measure adherence. Validity and reliability of the digital PROs (APP) were compared to scores from CLIN across two sessions and found to have good validity, good to excellent test-retest reliability, and excellent usability (≥88%ile). The pilot study demonstrated feasibility for use of the APP compared to CLIN for treatment of vestibular hypofunction. The mean standard system usability score of the APP was 82.5 indicating excellent usability. Discussion: Both adult patients with chronic dizziness and VRT clinicians were receptive to the use of technology for VRT. The HiM-V APP is a feasible alternative to clinical management of adults with chronic peripheral vestibular hypofunction.

Continuous Monitoring of Advanced Hemodynamic Parameters during Hemodialysis Demonstrated Early Variations in Patients Experiencing Intradialytic Hypotension.

Intradialytic hypotension (IDH) is a severe complication of hemodialysis (HD) with a significant impact on morbidity and mortality. In this study, we used a wearable device for the continuous monitoring of hemodynamic vitals to detect hemodynamic changes during HD and attempted to identify IDH. End-stage kidney disease patients were continuously monitored 15 min before starting the session and until 15 min after completion of the session, measuring heart rate (HR), noninvasive cuffless systolic and diastolic blood pressure (SBP and DBP), stroke volume (SV), cardiac output (CO), and systemic vascular resistance (SVR). Data were analyzed retrospectively and included comparing BP measured by the wearable devices (recorded continuously every 5 s) and the cuff-based devices. A total of 98 dialysis sessions were included in the final analysis, and IDH was identified in 22 sessions (22.5%). Both SBP and DBP were highly correlated (r > 0.62, p < 0.001 for all) between the wearable device and the cuff-based measurements. Based on the continuous monitoring, patients with IDH had earlier and more profound reductions in SBP and DBP during the HD treatment. In addition, nearly all of the advanced vitals differed between groups. Further studies should be conducted in order to fully understand the potential of noninvasive advanced continuous monitoring in the prediction and prevention of IDH events.

Home Heart Hospital Associated With Reduced Hospitalizations and Costs Among High-Cost Patients With Cardiovascular Disease.

BACKGROUND: There is no widely accepted care model for managing high-need, high-cost (HNHC) patients. We hypothesized that a Home Heart Hospital (H3), which provides longitudinal, hospital-level at-home care, would improve care quality and reduce costs for HNHC patients with cardiovascular disease (CVD). OBJECTIVE: To evaluate associations between enrollment in H3, which provides longitudinal, hospital-level at-home care, care quality, and costs for HNHC patients with CVD. METHODS: This retrospective within-subject cohort study used insurance claims and electronic health records data to evaluate unadjusted and adjusted annualized hospitalization rates, total costs of care, part A costs, and mortality rates before, during, and following H3. RESULTS: Ninety-four patients were enrolled in H3 between February 2019 and October 2021. Patients' mean age was 75 years and 50% were female. Common comorbidities included congestive heart failure (50%), atrial fibrillation (37%), coronary artery disease (44%). Relative to pre-enrollment, enrollment in H3 was associated with significant reductions in annualized hospitalization rates (absolute reduction (AR): 2.4 hospitalizations/year, 95% confidence interval [95% CI]: -0.8, -4.0; p < 0.001; total costs of care (AR: -$56 990, 95% CI: -$105 170, -$8810; p < 0.05; and part A costs (AR: -$78 210, 95% CI: -$114 770, -$41 640; p < 0.001). Annualized post-H3 total costs and part A costs were significantly lower than pre-enrollment costs (total costs of care: -$113 510, 95% CI: -$151 340, -$65 320; p < 0.001; part A costs: -$84 480, 95% CI: -$121 040, -$47 920; p < 0.001). CONCLUSIONS: Longitudinal home-based care models hold promise for improving quality and reducing healthcare spending for HNHC patients with CVD.

Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges.

Telehealth and remote patient monitoring (RPM), in particular, have been through a massive surge of adoption since 2020. This initiative has proven potential for the patient and the healthcare provider in areas such as reductions in the cost of care. While home-use medical devices or wearables have been shown to be beneficial, a literature review illustrates challenges with the data generated, driven by limited device usability. This could lead to inaccurate data when an exam is completed without clinical supervision, with the consequence that incorrect data lead to improper treatment. Upon further analysis of the existing literature, the RPM Usability Impact model is introduced. The goal is to guide researchers and device manufacturers to increase the usability of wearable and home-use medical devices in the future. The importance of this model is highlighted when the user-centered design process is integrated, which is needed to develop these types of devices to provide the proper user experience.

A budget impact analysis of a digital monitoring solution in patients treated with oral anticancer agents: a medico-economic analysis of the randomized phase 3 CAPRI trial.

BACKGROUND/OBJECTIVES: Remote patient monitoring (RPM) has demonstrated numerous benefits in cancer care, including improved quality of life, overall survival, and reduced medical resource use. This study presents a budget impact analysis of a nurse navigator-led RPM program, based on the CAPRI trial, from the perspective of the French national health insurance (NHI). The study aimed to assess the impact of the program on medical resource utilization and costs. METHODS: Medical resource utilization data were collected from both medico-administrative sources and patient-reported questionnaires. Costs were calculated by applying unit costs to resource utilization and estimating the average monthly cost per patient. Sensitivity analyses were conducted to explore different perspectives and varying resource consumption. RESULTS: The analysis included 559 cancer patients participating in the CAPRI program. From the NHI perspective, the program resulted in average savings of €377 per patient over the 4.58-month follow-up period, mainly due to reduced hospitalizations. The all-payers perspective yielded even greater savings of €504 per patient. Sensitivity analyses supported the robustness of the findings. CONCLUSION: The budget impact analysis demonstrated that the CAPRI RPM program was associated with cost savings from the perspective of the NHI. The program's positive impact on reducing hospitalizations outweighed the additional costs associated with remote monitoring. These findings highlight the potential economic benefits of implementing RPM programs in cancer care. Further research is warranted to assess the long-term cost-effectiveness and scalability of such programs in the real-world settings.

The impact of different perspectives on the cost-effectiveness of remote patient monitoring for patients with heart failure in different European countries.

BACKGROUND AND OBJECTIVE: Heart failure (HF) is a complex clinical syndrome with high mortality and hospitalization rates. Non-invasive remote patient monitoring (RPM) interventions have the potential to prevent disease worsening. However, the long-term cost-effectiveness of RPM remains unclear. This study aimed to assess the cost-effectiveness of RPM in the Netherlands (NL), the United Kingdom (UK), and Germany (DE) highlighting the differences between cost-effectiveness from a societal and healthcare perspective. METHODS: We developed a Markov model with a lifetime horizon to assess the cost-effectiveness of RPM compared with usual care. We included HF-related hospitalization and non-hospitalization costs, intervention costs, other medical costs, informal care costs, and costs of non-medical consumption. A probabilistic sensitivity analysis and scenario analyses were performed. RESULTS: RPM led to reductions in HF-related hospitalization costs, but total lifetime costs were higher in all three countries compared to usual care. The estimated incremental cost-effectiveness ratios (ICERs), from a societal perspective, were €27,921, €32,263, and €35,258 in NL, UK, and DE respectively. The lower ICER in the Netherlands was mainly explained by lower costs of non-medical consumption and HF-related costs outside of the hospital. ICERs, from a healthcare perspective, were €12,977, €11,432, and €11,546 in NL, the UK, and DE, respectively. The ICER was most sensitive to the effectiveness of RPM and utility values. CONCLUSIONS: This study demonstrates that RPM for HF can be cost-effective from both healthcare and societal perspective. Including costs of living longer, such as informal care and non-medical consumption during life years gained, increased the ICER.

A Remote Physical Therapy Program Demonstrates Similar Outcomes Compared to In-Person, Supervised Physical Therapy After Same-Day Discharge Total Knee Arthroplasty: A Randomized Clinical Trial.

BACKGROUND: A growing number of total knee arthroplasty (TKA) patients are candidates for same-day discharge (SDD). Previous research has shown that internet-based remote physical therapy (RPT) can produce equivalent outcomes to supervised outpatient physical therapy (OPT) after TKA. We sought to compare outcomes between RPT and OPT in patients undergoing SDD TKA using an electronic remote perioperative management (ERPM) program. METHODS: Patients undergoing SDD TKA were enrolled in an ERPM program and randomized to ERPM + RPT or ERPM + OPT. Preoperative and 6-week functional assessments included knee range of motion, timed up and go, and 4-meter gait speed. Numerical Rating Scale pain scores were evaluated preoperatively, at 6 and 12 weeks, and satisfaction was assessed at 6, 12, and 52 weeks postoperatively. Participants completed the Veterans Rand 12 Item Health Survey and Knee Injury and Osteoarthritis Outcome Score preoperatively and at 6, 12, and 52 weeks postoperatively. OPT utilization was collected 90 days postoperatively. RESULTS: Of 197 initially randomized patients, 76 remained in the ERPM + RPT group and 95 in the ERPM + OPT group after withdrawals and crossovers. Baseline characteristics showed no differences between the 2 groups. No clinically relevant differences were observed in knee range of motion, Numerical Rating Scale pain, patient-reported outcomes, functional assessments, or satisfaction at any follow-up time. Participants in the ERPM + OPT group attended an average of 11.57 physical therapy sessions, incurring a total cost of $462.8 and 133 minutes of travel. Conversely, the ERPM + RPT group experienced no expenses or travel time. CONCLUSIONS: Patients in the ERPM + RPT group had similar outcomes, lower costs, and saved time compared to patients in the ERPM + OPT group after SDD TKA. Further analysis is needed to determine predictive indicators for crossovers.

An Infrastructure Framework for Remote Patient Monitoring Interventions and Research.

Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients' plan of care by using remotely gathered data, such as vital signs, to proactively make medical decisions about a patient's care. RPM interventions have been touted as a means to improve patient care and well-being while reducing costs and resource needs within the health care ecosystem. However, multiple interworking components must be successfully implemented for an RPM intervention to yield the desired outcomes, and the design and key driver of each component can vary depending on the medical context. This viewpoint and perspective paper presents a 4-component RPM infrastructure framework based on a synthesis of existing literature and practice related to RPM. Specifically, these components are identified and considered: (1) data collection, (2) data transmission and storage, (3) data analysis, and (4) information presentation. Interaction points to consider between components include transmission, interoperability, accessibility, workflow integration, and transparency. Within each of the 4 components, questions affecting research and practice emerge that can affect the outcomes of RPM interventions. This framework provides a holistic perspective of the technologies involved in RPM interventions and how these core elements interact to provide an appropriate infrastructure for deploying RPM in health systems. Further, it provides a common vocabulary to compare and contrast RPM solutions across health contexts and may stimulate new research and intervention opportunities.

Telemedicine for the Underserved Racial and Ethnic Minorities During COVID-19 and Beyond.

Objective: To demonstrate that a culturally and linguistically appropriate telehealth protocol can be implemented to improve the glycemic control of patients as an extension of regular clinical services and provide continuity of care. Methods: A telehealth platform was established during COVID-19 pandemic and from numerous telehealth encounters we sampled 498 patients who received telehealth intervention over a 12-month period for specific services: Rx refill, consultation for laboratory results, wellness evaluation and education, and acute or sick visits with appropriate referrals. This telehealth platform was integrated with a remote patient monitoring system utilizing a Bluetooth-enabled glucometer for patients with diabetes compared to their abnormal baseline hemoglobin A1C (HgA1C). The Blood sugar values were recorded at predefined intervals to monitor controls for diabetes. The ethnic diversity and level of education of patients required addressing the digital divide, language interpretation, and navigation at each monitoring step. Results: This method demonstrated that a culturally and linguistically appropriate telehealth protocol can be implemented to improve the glycemic control of patients in an intervention group compared with a control group. Validation of the glycemic control was based on 70 patients identified as eligible for participation based on the inclusion criteria: a HgA1C level of 7% or higher obtained within the last 10 months. Informed consent was obtained for 42 participants based on patient participation constraints during the COVID-19 pandemic. Conclusions: We conclude that telemedicine procedures utilized for patients with little or no prior knowledge of remote self-monitoring methods can support their treatment of chronic diseases, such as diabetes. The outcomes from the implementation of telemedicine services were observed in a well-defined group of underserved racial and ethnic minority patients at our clinic. We now have a protocol to expand this to other chronic diseases and used as a regular clinical procedure.

Response Rate Patterns in Adolescents With Concussion Using Mobile Health and Remote Patient Monitoring: Observational Study.

Background: A concussion is a common adolescent injury that can result in a constellation of symptoms, negatively affecting academic performance, neurobiological development, and quality of life. Mobile health (mHealth) technologies, such as apps for patients to report symptoms or wearables to measure physiological metrics like heart rate, have been shown to be promising in health maintenance. However, there is limited evidence about mHealth engagement in adolescents with a concussion during their recovery course. Objective: This study aims to determine the response rate and response rate patterns in concussed adolescents reporting their daily symptoms through mHealth technology. It will also examine the effect of time-, demographic-, and injury-related characteristics on response rate patterns. Methods: Participants aged between 11-18 years (median days since injury at enrollment: 11 days) were recruited from the concussion program of a tertiary care academic medical center and a suburban school's athletic teams. They were asked to report their daily symptoms using a mobile app. Participants were prompted to complete the Post-Concussion Symptom Inventory (PCSI) 3 times (ie, morning, afternoon, and evening) per day for 4 weeks following enrollment. The primary outcome was the response rate pattern over time (by day since initial app use and the day since injury). Time-, demographic-, and injury-related differences in reporting behaviors were compared using Mann Whitney U tests. Results: A total of 56 participants were enrolled (mean age 15.3, SD 1.9 years; n=32, 57% female). The median response rate across all days of app use in the evening was 37.0% (IQR 27.2%-46.4%), which was significantly higher than the morning (21.2%, IQR 15.6%-30.5%) or afternoon (26.4%, IQR 21.1%-31.5%; P<.001). The median daily response was significantly different by sex (female: 53.8%, IQR 46.2%-64.2% vs male: 42.0%, IQR 28.6%-51.1%; P=.003), days since injury to app use (participants starting to use the app >7 days since injury: 54.1%, IQR 47.4%-62.2% vs starting to use the app ≤7 days since injury: 38.0%, IQR 26.0%-53.3%; P=.002), and concussion history (participants with a history of at least one prior concussion: 57.4%, IQR 44.5%-70.5% vs participants without concussion history: 42.3%, IQR 36.8%-53.5%; P=.03). There were no significant differences by age. Differences by injury mechanism (sports- and recreation-related injury: 39.6%, IQR 36.1%-50.4% vs non-sports- or recreation-related injury: 30.6%, IQR 20.0%-42.9%; P=.04) and initial symptom burden (PCSI scores greater than the median score of 47: 40.9%, IQR 35.2%-53.8% vs PCSI scores less than or equal to the median score: 31.9%, IQR 24.6%-40.6%; P=.04) were evident in the evening response rates; however, daily rates were not statistically different. Conclusions: Evening may be the optimal time to prompt for daily concussion symptom assessment among concussed adolescents compared with morning or afternoon. Multiple demographic- and injury-related characteristics were associated with higher daily response rates, including for female participants, those with more than 1 week from injury to beginning mHealth monitoring, and those with a history of at least one previous concussion. Future studies may consider incentive strategies or adaptive digital concussion assessments to increase response rates in populations with low engagement.