Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Sep 5, 2023
Date Accepted: Nov 2, 2023
App characteristics and accuracy metrics of available digital biomarkers for autism: a scoping review
ABSTRACT
Background:
Diagnostic delays in autism are common, with time to diagnosis being up to three years from symptoms onset. Such delays have a proven detrimental effect on individuals and families going through the process. Digital health products, such as mobile apps, can help close this gap due to their scalability and ease of access. Further, mobile apps offer the opportunity to make the diagnostic process faster and more accurate by providing additional and timely information to clinicians undergoing autism assessments.
Objective:
The aim of this scoping review was to synthesize the available evidence about digital biomarker tools to aid clinicians, researchers in the autism field, and end users in making decisions as to their adoption within clinical and research settings.
Methods:
We conducted a structured literature search on databases and search engines aimed at identifying peer-reviewed studies and regulatory submissions describing app characteristics, validation study details and accuracy and validity metrics of commercial and research digital biomarker apps aimed at aiding the diagnosis of autism.
Results:
We identified five products, two commercial and three research apps, with limited information available on their validation process and metrics. Further, we found a lack of details around participants' demographics and, where these were reported, important imbalances in gender and ethnicity in the studies evaluating such products. Finally, evaluation methods as well as accuracy and validity metrics of available tools were not clearly reported in some cases and varied greatly across apps, highlighting the need for standardized validation processes and reporting of findings.
Conclusions:
Despite their popularity, systematic evaluations and syntheses of the current state of the art of digital health products are lacking. Standardized and transparent evaluations of digital health tools in diverse populations are needed to help researchers, clinicians and end users adopt novel tools within clinical and research practices.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.