Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study

Opportunities and Challenges for Decentralized Clinical Trial Approaches: European Health Technology Assessment Perspective

OBJECTIVES

Decentralized clinical trial (DCT) approaches are clinical trials in which some or all trial activities take place closer to participants' proximities instead of a traditional investigative site. Data from DCTs may be used for clinical and economic evaluations by health technology assessment (HTA) bodies to support reimbursement decision making. This study aimed to explore the opportunities and challenges for DCT approaches from an HTA perspective by interviewing representatives from European HTA bodies.

METHODS

We conducted semistructured interviews with 25 European HTA representatives between September 2022 and February 2023, and transcripts were analyzed after thematic analysis.

RESULTS

Two main themes were identified from the data relating to (1) DCT approaches in HTA and (2) trial-level acceptance and relevance. Experience with assessing DCTs was limited and a variety of knowledge about DCTs was observed. The respondents recognized the opportunity of DCTs to reduce recall bias when participant-reported outcome data can be collected more frequently and conveniently from home. Concerns were expressed about the data quality when participants become responsible for data collection. Despite this challenge, the respondents recognized the potential of DCTs to increase the generalizability of results because data can be collected in a setting reflective of the everyday situation potentially from a more diverse participant group.

CONCLUSIONS

DCTs could generate relevant results for HTA decision making when data are collected in a real-world setting from a diverse participant group. Increased awareness of the opportunities and challenges could help HTA assessors in their appraisal of DCT approaches.

Augmented reality versus standard tests to assess cognition and function in early Alzheimer's disease

Augmented reality (AR) apps, in which the virtual and real world are combined, can recreate instrumental activities of daily living (IADL) and are therefore promising to measure cognition needed for IADL in early Alzheimer's disease (AD) both in the clinic and in the home settings. The primary aim of this study was to distinguish and classify healthy controls (HC) from participants with AD pathology in an early AD stage using an AR app. The secondary aims were to test the association of the app with clinical cognitive and functional tests and investigate the feasibility of at-home testing using AR. We furthermore investigated the test-retest reliability and potential learning effects of the task. The digital score from the AR app could significantly distinguish HC from preclinical AD (preAD) and prodromal AD (proAD), and preAD from proAD, both with in-clinic and at-home tests. For the classification of the proAD group, the digital score (AUCclinic_visit = 0.84 [0.75-0.93], AUCat_home = 0.77 [0.61-0.93]) was as good as the cognitive score (AUC = 0.85 [0.78-0.93]), while for classifying the preAD group, the digital score (AUCclinic_visit = 0.66 [0.53-0.78], AUCat_home = 0.76 [0.61-0.91]) was superior to the cognitive score (AUC = 0.55 [0.42-0.68]). In-clinic and at-home tests moderately correlated (rho = 0.57, p < 0.001). The digital score was associated with the clinical cognitive score (rho = 0.56, p < 0.001). No learning effects were found. Here we report the AR app distinguishes HC from otherwise healthy Aβ-positive individuals, both in the outpatient setting and at home, which is currently not possible with standard cognitive tests.

Correction: Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study

[This corrects the article DOI: 10.1371/journal.pone.0285807.].