Tepid Uptake of Digital Health Technologies in Clinical Trials by Pharmaceutical and Medical Device Firms.
Caroline MarraAriel Dora SternPublished in: Clinical pharmacology and therapeutics (2024)
Digital health technologies (DHTs) can enable more patient-centric therapeutic development by generating evidence that captures how patients feel and function, enabling decentralized trial designs that increase participant inclusivity and convenience, and collecting and structuring patient-generated data for regulators to use in approval decisions alongside traditional clinical outcomes. Although a growing body of evidence has documented increasing use of DHTs in clinical trials overall, the use of DHTs in clinical trials supporting medical product development is unclear; here, we quantify the use of DHTs in clinical trials sponsored by pharmaceutical and medical device firms. Despite interest from pharmaceutical and medical device manufacturers in DHTs, we find tepid uptake of DHTs in trials by these sponsor types over time. Further, to date, these sponsors have most frequently used conventional, hardware-based technologies that have been available for many years (e.g., Holter monitors and glucose meters) rather than newer activity monitors, mobile apps, and other online-based tools that are frequently used by non-industry sponsors. Considering the recent and evolving nature of regulatory guidance around DHT use in clinical trials, our findings suggest that organizations pursuing product development still appear hesitant to incorporate DHTs in trials that provide the most critical evidence for regulatory review and impact how new products are used. This suggests there are likely additional opportunities for sponsors of regulated trials to incorporate (more) DHTs and patient-centric endpoints into product development clinical trials. However, additional regulatory clarity and efforts to reduce operational barriers may be needed in order to more fully capture these opportunities.
Keyphrases
- clinical trial
- healthcare
- phase ii
- transcription factor
- phase iii
- public health
- case report
- open label
- study protocol
- mental health
- double blind
- type diabetes
- health information
- newly diagnosed
- ejection fraction
- risk assessment
- prognostic factors
- quality improvement
- electronic health record
- insulin resistance
- machine learning
- blood glucose
- human health
- health promotion
- artificial intelligence
- climate change
- patient reported