Currently submitted to: JMIR mHealth and uHealth
Date Submitted: Aug 28, 2025
Open Peer Review Period: Sep 12, 2025 - Nov 7, 2025
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Digital health technologies in the treatment of chronic conditions: a systematic review of US clinical practice guidelines (2013-2023)
ABSTRACT
Clinical practice guidelines (CPGs) facilitate integration of research findings into clinical practice and promote the translation of peer-reviewed evidence into strategies for health outcome improvement. Chronic diseases represent a substantial concern in the United States, and addressing this burden requires innovation. This study aims to identify best practices regarding digital health approaches within the most representative CPGs for the ten most common chronic illnesses present in the United States population. Each CPG was screened using pre-determined search terms and true recommendations and suggestions regarding digital health technologies in the treatment of chronic conditions were extracted from the data. Seven CPGs did not return results consistent with inclusion of digital health technology in standard practice. Results showed a total of four recommendations and six suggestions from the mood disorders, diabetes, and coronary atherosclerosis CPGs. Five of these ten findings referenced telehealth interventions, and two referenced digital monitoring. Embedding evidence-based digital health approaches to chronic disease could become a standard component of the healthcare arsenal and deliver greater impact than has been realized to date. CPG review committees should systematically consider the growing evidence for digital health technology and update guidelines accordingly.
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© 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.