Cumulative Burden of Digital Health Technologies for Patients With Multimorbidity: A Systematic Review
Phi et al.
The finding, in our words
This systematic review of prescribable digital health technologies found that almost all were designed for single conditions, meaning a hypothetical patient with five chronic conditions would need up to 13 apps and 7 devices to access the digital functions health professionals considered important.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
A fully remote decentralised clinical trial in Danish adults with type 2 diabetes demonstrated operational feasibility with rapid recruitment, high retention (87 percent), and excellent adherence to continuous glucose monitoring (95 percent achieving ≥70 percent data coverage) and telemedicine visits (97 percent). Activity tracker adherence was poor (12 percent) due to technical issues, but remote safety monitoring was effective with no unexpected adverse events, supporting the viability of remote diabetes management.
This systematic review of ten studies with 49,172 participants found that machine-learning models integrating continuous glucose monitoring data with clinical, genetic and multi-omic biomarkers achieved AUC values up to 0.993 for early type 1 diabetes detection, with plasma CXCL10 and IL-1RA emerging as useful markers. The findings support decentralised diagnostics by validating wearable-derived digital biomarkers alongside plasma biomarkers, though data heterogeneity and limited generalisability remain barriers to clinical implementation.
Mittal et al., International journal of molecular sciences · source ↗
The review describes how continuous glucose monitoring systems are being adopted in Indian diabetes clinics, showing that real-time glucose data improves patient engagement and supports evidence-based decisions. For decentralised diagnostics, this demonstrates the practical value of patient-centric wearable sensors in routine care and emphasises that training and communication are critical for successful implementation.
Kesavadev et al., Therapeutic advances in endocrinology and metabolism · source ↗
Decentralised monitoring of people with type 2 diabetes using continuous glucose monitoring and a hybrid smartwatch was feasible, with high participant retention and successful collection of glucose, heart rate, activity, sleep and GPS data via a study app.
Ali et al., Journal of diabetes science and technology (paywalled) · source ↗
The study observed favourable trends in the accrual of participants residing far from the site and those from underrepresented groups following the implementation of a decentralised clinical trial program.