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Clinical Evaluation of Digital Therapeutics: Present and Future

OBJECTIVES: Digital therapeutics (DTx) are software-based therapeutic interventions based on clinical evidence. Randomized clinical trials (RCTs) are often the source of clinical evidence, similar to conventional drugs or medical devices. However, novel approaches such as the use of real-world data...

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Autores principales: Huh, Ki Young, Oh, Jaeseong, Lee, SeungHwan, Yu, Kyung-Sang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388922/
https://www.ncbi.nlm.nih.gov/pubmed/35982593
http://dx.doi.org/10.4258/hir.2022.28.3.188
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author Huh, Ki Young
Oh, Jaeseong
Lee, SeungHwan
Yu, Kyung-Sang
author_facet Huh, Ki Young
Oh, Jaeseong
Lee, SeungHwan
Yu, Kyung-Sang
author_sort Huh, Ki Young
collection PubMed
description OBJECTIVES: Digital therapeutics (DTx) are software-based therapeutic interventions based on clinical evidence. Randomized clinical trials (RCTs) are often the source of clinical evidence, similar to conventional drugs or medical devices. However, novel approaches such as the use of real-world data or digital biomarkers are also utilized. This article aimed to review how DTx products have been clinically evaluated. METHODS: DTx products approved by the US Food and Drug Administration as of 2020 were reviewed and products with sufficient published information were selected. Pivotal clinical trials were analyzed according to the elements of the Consolidated Standards of Reporting Trials (CONSORT) guideline. Case reviews were presented for other clinical evaluation strategies, considering the small number of publications. RESULTS: Most approved DTx products used RCTs for clinical evaluations. Similar to conventional RCTs, parallel-group designs with statistical hypothesis testing were adopted. However, DTx trials were often not blinded due to practical issues and involved various comparator groups. In addition, DTx products could be readily evaluated in home-based settings and delivered through the internet. Other evaluation approaches included retrospective analyses using insurance claims data or usage data, which enabled long-term evaluations of effectiveness. Digital biomarkers obtained from real-time and continuous log data were also used to improve the objectiveness of endpoints. CONCLUSIONS: RCTs accounted for the majority of DTx evaluations. The designs of DTx trials were comparable to those of drug or device trials, but blinding and comparator elements were often different. Furthermore, the use of real-world data and digital biomarkers are also being tried.
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spelling pubmed-93889222022-08-23 Clinical Evaluation of Digital Therapeutics: Present and Future Huh, Ki Young Oh, Jaeseong Lee, SeungHwan Yu, Kyung-Sang Healthc Inform Res Review Article OBJECTIVES: Digital therapeutics (DTx) are software-based therapeutic interventions based on clinical evidence. Randomized clinical trials (RCTs) are often the source of clinical evidence, similar to conventional drugs or medical devices. However, novel approaches such as the use of real-world data or digital biomarkers are also utilized. This article aimed to review how DTx products have been clinically evaluated. METHODS: DTx products approved by the US Food and Drug Administration as of 2020 were reviewed and products with sufficient published information were selected. Pivotal clinical trials were analyzed according to the elements of the Consolidated Standards of Reporting Trials (CONSORT) guideline. Case reviews were presented for other clinical evaluation strategies, considering the small number of publications. RESULTS: Most approved DTx products used RCTs for clinical evaluations. Similar to conventional RCTs, parallel-group designs with statistical hypothesis testing were adopted. However, DTx trials were often not blinded due to practical issues and involved various comparator groups. In addition, DTx products could be readily evaluated in home-based settings and delivered through the internet. Other evaluation approaches included retrospective analyses using insurance claims data or usage data, which enabled long-term evaluations of effectiveness. Digital biomarkers obtained from real-time and continuous log data were also used to improve the objectiveness of endpoints. CONCLUSIONS: RCTs accounted for the majority of DTx evaluations. The designs of DTx trials were comparable to those of drug or device trials, but blinding and comparator elements were often different. Furthermore, the use of real-world data and digital biomarkers are also being tried. Korean Society of Medical Informatics 2022-07 2022-07-31 /pmc/articles/PMC9388922/ /pubmed/35982593 http://dx.doi.org/10.4258/hir.2022.28.3.188 Text en © 2022 The Korean Society of Medical Informatics https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Huh, Ki Young
Oh, Jaeseong
Lee, SeungHwan
Yu, Kyung-Sang
Clinical Evaluation of Digital Therapeutics: Present and Future
title Clinical Evaluation of Digital Therapeutics: Present and Future
title_full Clinical Evaluation of Digital Therapeutics: Present and Future
title_fullStr Clinical Evaluation of Digital Therapeutics: Present and Future
title_full_unstemmed Clinical Evaluation of Digital Therapeutics: Present and Future
title_short Clinical Evaluation of Digital Therapeutics: Present and Future
title_sort clinical evaluation of digital therapeutics: present and future
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388922/
https://www.ncbi.nlm.nih.gov/pubmed/35982593
http://dx.doi.org/10.4258/hir.2022.28.3.188
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