The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Characteristics and challenges of the clinical pipeline of digital therapeutics
Open accessAbstract
In this Comment, we characterize the current pipeline of digital therapeutics and offer a clinical perspective into the advantages, challenges, and barriers to implementation of this treatment modality for patient care, which we hope will inform future regulatory policy, prescribing decisions, and scope of real-world evidence collection.
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“Although mobile apps targeting treatment adherence have been understudied, several recent examples have shown promise: AiCure uses a HIPAA-compliant and scalable AI platform to monitor treatment adherence 86,87 ; Mango Health and Health Prize are incentive-based apps to improve access and adherence to prescribed treatments 88,89 ; Medisafe is an app that provides reminders and alerts for users to”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [86]
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Citations
Cites
Quinn, C. C., Shardell, M. D., Terrin, M. L., Barr, E. A., Ballew, S. H., & Gruber-Baldini, A. L. (2011) · Diabetes Care · doi:10.2337/dc11-0366 · Cited by 650
Kollins, S. H., DeLoss, D. J., Cañadas, E., Lutz, J., Findling, R. L., Keefe, R. S. E., Epstein, J. N., Cutler, A. J., & Faraone, S. V. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30017-0 · Cited by 385
Christensen, H., Batterham, P. J., Gosling, J. A., Ritterband, L. M., Griffiths, K. M., Thorndike, F. P., Glozier, N., O'Dea, B., Hickie, I. B., & Mackinnon, A. J. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00536-2 · Cited by 365
Internet-delivered treatment for substance abuse: a multisite randomized controlled trial
Campbell, A. N. C., Nunes, E. V., Matthews, A. G., Stitzer, M., Miele, G. M., Polsky, D., Turrigiano, E., Walters, S., McClure, E. A., Kyle, T. L., et al. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13081055 · Cited by 263
Blockchain vehicles for efficient Medical Record management
Vazirani, A. A., O’Donoghue, O., Brindley, D., & Meinert, E. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0211-0 · Cited by 245
Merchant, R. K., Inamdar, R., & Quade, R. (2016) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2015.11.022 · Cited by 221
Adding an Internet-delivered treatment to an efficacious treatment package for opioid dependence.
Christensen, D. R., Landes, R. D., Jackson, L., Marsch, L. A., Mancino, M. J., Chopra, M. P., & Bickel, W. K. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0037496 · Cited by 149
Algorithms on regulatory lockdown in medicine
Babic, B., Gerke, S., Evgeniou, T., & Cohen, I. G. (2019) · Science · doi:10.1126/science.aay9547 · Cited by 123
Ronquillo, J. G., & Zuckerman, D. M. (2017) · Milbank Quarterly · doi:10.1111/1468-0009.12278 · Cited by 86
Modernizing and designing evaluation frameworks for connected sensor technologies in medicine
Coravos, A., Doerr, M., Goldsack, J., Manta, C., Shervey, M., Woods, B., & Wood, W. A. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0237-3 · Cited by 82 · cited 1×
“…of cybersecurity and data rights are preconditions for the mass adoption of DTx. Similar to prior work regarding connected sensors in medicine 16 , as DTx transfer information over the internet, risks of unauthorized access and manipulation of these products and underlying data could…”
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Cited by
Sorted by citations
Marwaha, J. S., Landman, A. B., Brat, G. A., Dunn, T., & Gordon, W. J. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00557-1 · Cited by 241
“We recommend identifying the resources necessary to address five issues: (1) training, (2) IT integration, (3) information security, (4) human capital investment, and (5) adapting existing real-world workflows and EHR workflows to incorporate the new tool.”
MethodModern views of machine learning for precision psychiatry
Chen, Z. S., Kulkarni, P., Galatzer‐Levy, I. R., Bigio, B., Nasca, C., & Zhang, Y. (2022) · Patterns · doi:10.1016/j.patter.2022.100602 · Cited by 247
“Examples that are in development or have received FDA (Food and Drug Administration) approval include treatments for substance use disorder (SUD), ADHD, schizophrenia, ASD, MDD, PTSD, and generalized anxiety disorder (GAD) [250].”
BackgroundDigital therapeutics from bench to bedside
Wang, C., Lee, C., & Shin, H. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00777-z · Cited by 196
Data Integration Challenges for Machine Learning in Precision Medicine
Martínez-García, M., & Hernández-Lemus, E. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2021.784455 · Cited by 185
“…toward the definition of clinical pipelines in digital therapeutics (loosely defined as evidence based therapeutics basedon software applications to prevent, manage or treat a disease or medical condition) (264), often related with data obtained from wearables and other subject-based sources.”
BackgroundIntroduction of digital therapeutics
Hong, J. S., Wasden, C. L., & Han, D. H. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106319 · Cited by 163
Metadata
- Authors
- Patel, N. A., & Butte, A. J.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Patel, Nisarg A.
- Venue
- npj Digital Medicine
- Published
- 2020-12-11
- Volume
- 3
- Issue
- 1
- Pages
- 159-159
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC7733514
- OpenAlex
- W3110865436
- Cited by
- 143
- References
- 16
- Citations by year
- 2026: 18 · 2025: 20 · 2024: 27 · 2023: 40 · 2022: 26 · 2021: 11
- FWCI
- 17.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- digital therapeutics, regulatory policy, prescribing decisions, real-world evidence, implementation barriers, digital health products
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