Telemedicine in heart failure (HF) management may positively impact health outcomes, but varied effects in studies hinder guidance in HF guidelines. Evidence on the effectiveness of telemedicine in HF subpopulations is limited. We conducted a scoping review to evaluate and synthesise evidence on the effectiveness of telemedicine across HF subpopulations that could guide telemedicine strategies in routine practice. Meta-analyses concerning randomised controlled trials (RCTs) with subgroup analyses on telemedicine effectives were identified in PubMed. We identified 15 RCTs, encompassing 21 different subgroups based on characteristics of HF patients. Findings varied across studies and no definite evidence was found about which patients benefit most from telemedicine. Subgroup definitions were inconsistent, not always a priori defined and subgroups contained few patients. Some studies found heterogeneous effects of telemedicine on mortality and hospitalisation across subgroups defined by: New York Heart Association (NYHA) classification, previous HF decompensation, implantable device, concurrent depression, time since hospital discharge and duration of HF. Patients represented in the RCTs were mostly male, aged 65-75 years, with HF with reduced ejection fraction and NYHA class II/III. Traditional RCTs have not been able to provide clinicians with guidance; continuous real-world evidence generation could enhance monitoring and identify who benefits from telemedicine.

UNASSIGNED: Chronic nocturnal noninvasive ventilation (NIV) improves outcomes in COPD patients with chronic hypercapnic respiratory failure. The aim of chronic NIV in COPD is to control chronic hypercapnic respiratory insufficiency and reduce symptoms of nocturnal hypoventilation, thereby improving quality of life. Chronic NIV care is more and more offered exclusively at home, enabling promising outcomes in terms of patient and caregiver satisfaction, hospital care consumption and cost reduction. Yet, to achieve and maintain optimal ventilation, during adaptation and follow-up, effective feasible (home) monitoring poses a significant challenge.
UNASSIGNED: Comprehensive monitoring of COPD patients receiving chronic NIV requires integrating data from ventilators and assessment of the patient\'s status including gas exchange, sleep quality, and patient-reported outcomes. The present article describes the physiological background of monitoring during NIV and aims to provide an overview of existing methods for monitoring, assessing their reliability and clinical relevance.
UNASSIGNED: Patients on chronic NIV are \'ideal\' candidates for home monitoring; the advantages of transforming hospital to home care are huge for patients and caregivers and for healthcare systems facing increasing patient numbers. Despite the multitude of available monitoring methods, identifying and characterizing the most relevant parameters associated with optimal patient well-being remains unclear.

This paper introduces a mobile cloud-based predictive model for assisting Parkinson\'s disease (PD) patients. PD, a chronic neurodegenerative disorder, impairs motor functions and daily tasks due to the degeneration of dopamine-producing neurons in the brain. The model utilizes smartphones to aid patients in collecting voice samples, which are then sent to a cloud service for storage and processing. A hybrid deep learning model, trained using the UCI Parkinson\'s Telemonitoring Voice dataset, analyzes this data to estimate the severity of PD symptoms. The model\'s performance is noteworthy, with accuracy, sensitivity, and specificity metrics of 96.2 %, 94.15 %, and 96.15 %, respectively. Additionally, it boasts a rapid response time of just 13 s. Results are delivered to users via smartphone alert notifications, coupled with a knowledge base feature that educates them about PD. This system provides reliable home-based assessment and monitoring of PD and enables prompt medical intervention, significantly enhancing the quality of life for patients with Parkinson\'s disease.

Body temperature must be monitored in patients receiving Hospital-at-Home (HaH) care for COVID-19 and other infectious diseases. Continuous temperature telemonitoring (CTT) detects fever and patient deterioration early, facilitating decision-making. We performed a validation clinical study assessing the safety, comfort, and impact on healthcare practice of Viture®, a CTT system, compared with a standard digital axillary thermometer in 208 patients with COVID-19 and other infectious diseases treated in HaH at the Navarra University Hospital (HUN). Overall, 3258 pairs of measurements showed a clinical bias of -0.02 °C with limits of agreement of -0.96/+0.92 °C, a 95% acceptance rate, and a mean absolute deviation of 0.36 (SD 0.30) °C. Viture® detected 3 times more febrile episodes and revealed fever in 50% more patients compared with spot measurements. Febrile episodes were detected 7.23 h (mean) earlier and modified the diagnostic and/or therapeutic approach in 43.2% of patients. Viture® was validated for use in a clinical setting and was more effective in detecting febrile episodes than conventional methods.

BACKGROUND: The current literature inadequately addresses the extent to which remote monitoring should be integrated into care models for chronic respiratory diseases (CRDs).
OBJECTIVE: This study examined a remote monitoring program (RMP) in cystic fibrosis (CF) by exploring experiences, future perspectives, and use behavior over 3 years, with the aim of developing future directions for remote monitoring in CRDs.
METHODS: This was a mixed methods, multicenter, observational study in 5 Dutch CF centers following a sequential explanatory design. Self-designed questionnaires using the technology acceptance model were sent out to people with CF who had a minimum of 12 months of experience with the RMP and local health care professionals (HCPs). Questionnaire outcomes were used to inform semistructured interviews with HCPs and people with CF. Qualitative findings were reported following the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist. Anonymous data on use frequency of all people with CF were analyzed.
RESULTS: Between the second quarter of 2020 and the end of 2022, a total of 608 people with CF were enrolled in the program, and a total of 9418 lung function tests and 2631 symptom surveys were conducted. In total, 65% (24/37) of HCPs and 89% (72/81) of people with CF responded to the questionnaire, and 7 HCPs and 12 people with CF participated in semistructured interviews. Both people with CF and HCPs were positive about remote monitoring in CF care and found the RMP a good addition to daily care (people with CF: 44/72, 61%; HCPs: 21/24, 88%). Benefits ranged from supporting individual patients to reducing health care consumption. The most valued monitoring tool was home spirometry by both people with CF (66/72, 92%) and HCPs (22/24, 92%). Downsides included the potential to lose sight of patients and negative psychosocial effects, as 17% (12/72) of people with CF experienced some form of stress due to the RMP. A large majority of people with CF (59/72, 82%) and HCPs (22/24, 92%) wanted to keep using the RMP in future, with 79% (19/24) of HCPs and 75% (54/72) of people with CF looking forward to more replacement of in-person care with digital care during periods of well-being. Future perspectives for the RMP were centered on creating hybrid care models, personalizing remote care, and balancing individual benefits with monitoring burden.
CONCLUSIONS: Remote monitoring has considerable potential in supporting people with CF and HCPs within the CF care model. We identified 4 practice-based future directions for remote monitoring in CF and CRD care. The strategies, ranging from patient driven to prediction driven, can help clinicians, researchers, and policy makers navigate the rapidly changing digital health field, integrate remote monitoring into local care models, and align remote care with patient and clinician needs.

BACKGROUND: The COVID-19 pandemic impacted healthcare organizations, necessitating a rapid transition from in-person to virtual care. Our study explored the feasibility of a mixed in-person/telerehabilitation intervention for cancer patients and its effects on cancer-related fatigue (CRF), quality of life (QoL), physical function, patient satisfaction, and perceived usefulness.
METHODS: TRACE 2020 is an observational prospective study that enrolled adult cancer patients, between January 2021 and March 2023, who were eligible for a rehabilitation program to be provided also in telerehabilitation. Patients were assessed at baseline and after the rehabilitation program. Adherence to sessions, reasons for non-adherence and adverse events were collected.
RESULTS: Of the 23 patients enrolled, 87% received a mixed intervention, with an average of 60% in-person sessions and 40% telerehabilitation sessions. Adherence was very high (91%). Evaluation scales showed an improvement in CRF, QoL, and lower limb strength and a relevant increase in patients\' level of physical activity (PA). Most patients reported good satisfaction; the few criticisms mainly concerned difficulties in connectivity, lack of physical contact and difficulties in understanding how to perform exercises during telerehabilitation sessions. The physiotherapist underlined the usefulness of the innovative approach and suggested ways to facilitate future implementation.
CONCLUSIONS: A mixed intervention including telerehabilitation is feasible and accepted by cancer patients. It may have a positive effect on their CRF, QoL, and level of PA and render patient care more flexible. The findings suggest what characteristics the target population for telerehabilitation should have, in order to integrate telerehabilitation in standard care for cancer patients.

Telemonitoring in non-invasive ventilation is constantly evolving to enable follow-up of adults and children. Depending on the device and manufacturer, different ventilator variables are displayed on web-based platforms. However, high-granularity measurement is not always available remotely, which precludes breath-by-breath waveforms and precise monitoring of nocturnal gas exchange. Therefore, telemonitoring is mainly useful for monitoring utilization of the device, leaks, and respiratory events. Coordinated relationships between patients, homecare providers, and hospital teams are necessary to transform available data into diagnosis and actions. Telemonitoring is time and cost-consuming. The balance between cost, workload, and clinical benefit should be further evaluated.

Initiation of home non-invasive ventilation (NIV) requires careful consideration of the patient\'s condition, motivation, expectations, wishes, and social circumstances. The decision to start NIV depends on a combination of factors including patient symptoms and objective evidence of nocturnal hypoventilation. A solid understanding of the underlying pathophysiology is key to a systematic and well-balanced clinical approach to titrating NIV. The location where NIV is initiated is not the most relevant issue, provided that it is a comfortable, safe environment in which adequate monitoring can be assured. The majority of patients prefer their own home for treatment initiation.

Poor treatment adherence and lack of self-care behaviors are significant contributors to hospital readmissions of people with heart failure (HF). A transitional program with non-invasive telemonitoring may help sustain patients and their caregivers to timely recognize signs and symptoms of exacerbation. We will conduct a Randomized Clinical Trial (RCT) to evaluate the feasibility and acceptability of a 6-month supportive intervention for patients discharged home after cardiac decompensation. Forty-five people aged 65 years and over will be randomized to either receive a supportive intervention in addition to standard care, which combines nurse-led telephone coaching and a home-based self-monitoring vital signs program, or standard care alone. Four aspects of the feasibility will be assessed using a mixed-methods approach: process outcomes (e.g., recruitment rate), resources required (e.g., adherence to the intervention), management data (e.g., completeness of data collection), and scientific value (e.g. 90- and 180-day all-cause and HF-related readmissions, self-care capacity, quality of life, psychological well-being, mortality, etc.). Participants will be interviewed to explore preferences and satisfaction with the intervention. The study is expected to provide valuable insight into the design of a definitive RCT.

BACKGROUND: Telehealth increases care accessibility to patients with type-2 diabetes mellitus but the duration of its implementation to sustain optimal glycaemic control remains unclear. This study aimed to assess the health outcomes of these patients using the Optimizing care of Patients via Telemedicine In Monitoring and aUgmenting their control of diabetes Mellitus (OPTIMUM) home tele-monitoring (HTM) system 6 months post-intervention, compared to standard care.
METHODS: An open-labelled randomized controlled trial involving 330 participants with type-2 diabetes mellitus, aged 26-65 years, and suboptimal glycaemic control (HbA1c = 7.5%-10%) was conducted. Intervention group received OPTIMUM HTM for 6 months followed by usual care for another 6 months, while control group received usual care for 12 months. OPTIMUM HTM includes in-app video-based tele-education, tele-monitoring of the blood pressure, capillary glucose and weight via Bluetooth devices and mobile applications, followed by algorithm-based tele-management by the OPTIMUM HTM team. Assessments using self-care inventory scale and medication adherence were administered for both groups at baseline, 6-month, and 12-month timepoints.
RESULTS: Complete data from 156 (intervention) and 159 (control) participants, with comparable demographic profiles, were analysed. Both groups showed a significant reduction in HbA1c from baseline (p < 0.001). From 6-month to 12-month time-points, the intervention group was twice as likely to maintain their HbA1c ≤ 8% (adjusted odds ratio = 2.02, 95%CI = 1.18-3.49; p < 0.011). The intervention group demonstrated higher scores for self-care behaviours (adjusted odds ratio = 3.83 [95%CI = 1.68-5.97], p = 0.001) and not skipping medications (adjusted odds ratio = 2.32 [95%CI = 1.09-4.97], p = 0.030) at 12 months.
CONCLUSIONS: The OPTIMUM HTM system enabled patients to maintain their glycaemic control beyond the intervention period. The favourable outcomes could be the effect of telehealth in sustaining self-care behaviour and medication adherence.