Validation of a telemedicine tool for patient monitoring in clinical dementia trials: Developing topics. (7th December 2020)

• Record Type: Journal Article
• Authors: König, Alexandra; Zeghari, Radia; Guerchouche, Rachid; Linz, Nicklas; Ramakers, Inez HGB; Lemoine, Pascale; Bultingaire, Vincent; Robert, Philippe
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 7
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.047345
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: With the current pandemic crisis, now even more than ever, remote solutions such as telephone or telemedicine platforms are of great importance to provide isolated elderly people with timely access to health care. This study aims to determine feasibility and reliability of an automated tool utilizing artificial intelligence (AI) to facilitate large‐scale population‐based neurocognitive pre‐screening and monitoring of potential clinical trial participants. Method: 21 participants (out of 120 still to include) over age 55 with and without cognitive impairment were administered in two conditions, once by telemedicine and once by face‐to‐face, a neuropsychological assessment consisting of 8 neurocognitive tests. The administration procedure was randomized. Each participant was asked to complete an acceptability questionnaire regarding the experience of being evaluated through a telemedicine tool. Results: Similar results were obtained on the several cognitive test measures when comparing the remote to the face‐to‐face administration method. Word recall (r=0, 928) and picture naming task (r=0, 939) showed the strongest correlation. Acceptability of the tool was relatively high with preference even in the remote method for more convenience. Conclusion: Results support the feasibility and reliability of remote cognitive testing through administration via a telemedicine tool. These systems can be used for remote disease monitoring, enabling patients to be assessed in their own homes and improve utilization of expert assessors allowing them to conduct neurocognitive testing remotely.