Digital health, digital medicine, and digital therapeutics in cardiology: current evidence and future perspective in Japan

Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis

This systematic review and meta-analysis included randomized controlled trials or observational studies that compare digital health interventions (DHIs) for telemedicine/telehealth versus usual care for managing blood pressure (BP) in adults. We searched PubMed, Cochrane CENTRAL, and IchuShi-Web, and used a random-effects meta-analysis of the weighted mean difference (MD) between the comparison groups to pool data from the included studies. The outcome included the pooled MD of office BP from baseline to each follow-up period. This meta-analysis considered 117 studies with 68677 participants as eligible. The 3-month intervention period reduced office systolic BP (SBP) compared with usual care in 38 studies (MD: -3.21 mmHg [95% confidence interval: -4.51 to -1.90]), with evidence of heterogeneity. Office SBP across intervention periods demonstrated comparable effects (3-, 6- [54 studies], 12- [43 studies], and >12-month periods [9 studies]). The benefits for office diastolic BP were similar to those for office SBP. Additionally, the interventions significantly reduced the office SBP compared with the control, regardless of the mode of intervention delivery (smartphone apps [38 studies], text messages [35 studies], and websites [34 studies]) or type of facility (medical [74 studies] vs. non-medical [33 studies]). The interventions were more effective in 41 hypertension cohorts compared with 66 non-hypertension cohorts (-4.81 mmHg [-6.33, -3.29] vs. -2.17 mmHg [-3.15, -1.19], P = 0.006 for heterogeneity). In conclusion, DHIs for telemedicine/telehealth improved BP management compared with usual care. The effectiveness with heterogeneity should be considered, as prudent for implementing evidence-based medicine. This meta-analysis considered 117 studies with 68677 participants eligible. The DHIs for telemedicine/telehealth reduced office BP compared with usual care, regardless of intervention duration, intervention delivery mode, facility type, and cohort type. Additionally, the DHIs reduced the risk of uncontrolled BP compared with usual care, regardless of intervention duration, intervention delivery mode, and facility type. BP blood pressure, DHI digital health intervention, MD mean difference, RR risk ratio, SBP systolic blood pressure.

Digitalomics, digital intervention, and designing future: The next frontier in cardiology

The discipline of cardiology stands at a transformative juncture, primarily influenced by the surge in digital health technologies. These innovations hold the promise to redefine the realms of cardiovascular research and patient care, ushering in an era of individualized and data-driven treatments. This review delves into the heart of this evolution, introducing a comprehensive design for the future of cardiology. Emphasizing the emerging domains of "digitalomics" and "digital intervention", it explores how the integration of patient data, artificial intelligence-enabled diagnostics, and telehealth can lead to more streamlined and personalized cardiovascular health. The "digital-twin" model, a highlight of this approach, encapsulates individual patient characteristics, allowing for targeted treatments. The role of interdisciplinary collaboration in cardiovascular medicine is also underlined, emphasizing the importance of merging traditional cardiology with technological advancements. The convergence of traditional cardiology methods and digital health technologies, facilitated by a transdisciplinary approach, is set to chart a new course in cardiovascular health, emphasizing individualized care and improved clinical outcomes.

Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework

BACKGROUND

Digital transformation has sparked profound change in the healthcare sector through the development of innovative digital technologies. Digital Therapeutics offer an innovative approach to disease management and treatment. Care delivery is increasingly patient-centered, data-driven, and based on real-time information. These technological innovations can lead to better patient outcomes and support for healthcare professionals, also considering resource scarcity. As these digital technologies continue to evolve, the healthcare field must be ready to integrate them into processes to take advantage of their benefits. This study aims to develop a framework for the development and assessment of Digital Therapeutics.

METHODS

The study was conducted relying on a mixed methodology. 338 studies about Digital Therapeutics resulting from a systematic literature review were analyzed using descriptive statistics through RStudio. Machine learning algorithms were applied to analyze variables and find patterns in the data. The results of these analytical analyses were summarized in a framework qualitatively tested and validated through expert opinion elicitation.

RESULTS

The research provides M-LEAD, a Machine Learning-Enhanced Assessment and Development framework that recommends best practices for developing and assessing Digital Therapeutics. The framework takes as input Digital Therapeutics characteristics, regulatory aspects, study purpose, and assessment domains. The framework produces as outputs recommendations to design the Digital Therapeutics study characteristics.

CONCLUSIONS

The framework constitutes the first step toward standardized guidelines for the development and assessment of Digital Therapeutics. The results may support manufacturers and inform decision-makers of the relevant results of the Digital Therapeutics assessment.

Digital health and patient adherence: A qualitative study in older adults

Introduction

Computer confidence and computer self-efficacy can impact an individual's perceived ease of use and usefulness of technology, ultimately determining adherence to digital healthcare services. However, few studies focus on assessing the impact of non-clinical factors on the efficacy and adherence to digital healthcare platforms.

Objective

We aimed to analyse the role of non-clinical factors (i.e. computer confidence and computer self-efficacy) in the interaction experience (IX) and the feasibility of a digital neuropsychological platform called NeuroVRehab.PT in a group of older adults with varying levels of computer confidence.

Methods

Eight older adults (70.63 ± 6.1 years) evaluated the platform, and data was collected using the Think-Aloud method and a semi-structured interview. Sessions were audio-recorded and analysed through an inductive-deductive informed Thematic Analysis protocol. This study was conducted according to the Consolidated Criteria for Reporting Qualitative Research guidelines.

Results

Three main themes were identified (Interaction Experience, Digital Literacy, and Attitudes toward NeuroVRehab.PT). Computer anxiety and fear of making errors were not uncommon, even among older adults who perceive themselves as confident in technology use, and negatively impacted IX. Moreover, some game elements (e.g. three-star system, progression bar) were not intuitive to all participants, leading to misleading interpretations. On the other hand, human support and the platform's realism seemed to impact participants' IX positively.

Conclusions

This study shed light on the barriers raised by non-clinical factors in adopting and using digital healthcare services by older adults. Furthermore, a critical analysis of the platform's features that promote user adoption is done, and suggestions for overcoming limitations are presented.

Telehealth Follow-up Using a Real-Time Electrocardiogram Device Improves Electrocardiogram Monitoring Duration and Patient Satisfaction After Catheter Ablation

Background: There is a strong demand for remote monitoring systems to gather health data. This study investigated the safety, usefulness, and patient satisfaction in outpatient care using telehealth with real-time electrocardiogram (ECG) monitoring after catheter ablation. Methods and Results: In all, 38 patients who underwent catheter ablation were followed up using telehealth. At the 3- and 6-month follow-up, a self-fitted Duranta ECG monitoring device was sent to the patient's home before the online consultation. Patients attached the devices themselves, and the doctors viewed the patients by video chat and performed real-time ECG monitoring. The frequency of hospital visits and the ECG monitoring duration were compared with conventional in-person follow-up data (n=102). The completion rate for telehealth follow-up was 32 of 38 patients (84%). The number of hospital visits during the 6 months was significantly lower with telehealth follow-up than with conventional follow-up (median [interquartile range] 1 [1-1] vs. 5 [3-5]; P<0.0001). However, the ECG monitoring duration was approximately 4-fold longer for the telehealth follow-up (median [interquartile range] 89 [64-117] vs. 24 [0.1-24] h; P<0.0001). No major adverse events were observed during the telehealth follow-up. Patient surveys showed high satisfaction with telehealth follow-up due to reduced hospital visits. Conclusions: A combination of telehealth follow-up with real-time ECG monitoring increased the ECG monitoring duration and patient satisfaction without any adverse events.