Wikipedia

Digital therapeutics

(Redirected from Digital therapeutic)

Digital therapeutics, a subset of digital health, are evidence-based therapeutic interventions driven by high quality software programs to prevent, manage, or treat a medical disorder or disease.[1][2][3][4][5] Digital therapeutic companies should publish trial results inclusive of clinically meaningful outcomes in peer-reviewed journals.[6] The treatment relies on behavioral and lifestyle changes usually spurred by a collection of digital impetuses.[3][7] Because of the digital nature of the methodology, data can be collected and analyzed as both a progress report and a preventative measure.[8][9][10][11][12][13] Treatments are being developed for the prevention and management of a wide variety of diseases and conditions, including type 1 & type II diabetes, congestive heart failure, obesity, Alzheimer's disease, dementia, asthma, substance abuse, ADHD, hypertension, anxiety, depression, and several others.[2][14][15][16][17] Digital therapeutics often employ strategies rooted in cognitive behavioral therapy.[18][19][20]

Definitions

edit

Although digital therapeutics can be employed in numerous ways, the term can broadly be defined as a treatment or therapy that utilizes digital and often Internet-based health technologies to spur changes in patient behavior.[4][21] The use of digital products to improve health outcomes dates as far back as 2000.[9][3] The term itself has been in use since around 2012.[22] The first mention of the term in a peer-reviewed research publication was in 2015, in which Dr. Cameron Sepah formally defined the field as: "Digital therapeutics are evidence-based behavioral treatments delivered online that can increase accessibility and effectiveness of health care."[3] Digital therapeutics can be used as a standalone therapy or in conjunction with more conventional treatments like pharmacological or in-person therapy.[4][18] As of 2018, digital therapeutics continues to be an evolving field that medical professionals, students, and patients are beginning to utilize.[23]

The Digital Therapeutics Alliance states: "Digital therapeutics (DTx) deliver evidence-based therapeutic interventions to patients that are driven by high quality software programs to prevent, manage, or treat a broad spectrum of physical, mental, and behavioral conditions."[24] Digital therapeutics are different from wellness apps or medication reminders in that they require rigorous clinical evidence to substantiate intended use and impact on disease state.

It is often used as a preventive measure for patients who are at risk of developing more serious conditions. For instance, a patient with prediabetes may be prescribed digital therapeutics as a method to change their diet and behavior that could otherwise lead to a diabetes diagnosis.[3][2][15][20] Digital therapeutics can also be used as a treatment option for existing conditions. For instance, a patient with type II diabetes can use digital therapeutics to manage the disease more effectively.[2][3][15]

The methodology uses a variety of digital implements to help manage, monitor, and prevent illnesses in at-risk patients. These include mobile devices and technologies, apps, sensors, desktop computers, and various Internet of Things devices.[25] These implements can collect a wide variety of data, ranging from big to small. Digital therapeutics can theoretically collect a high volume of data from a variety of sources. It also collects "smaller" data, "capturing personalized physiological parameters, behavior patterns and social and geographical patterns that can be recorded from multiple digital sources."[8]

Methodologies

edit

Digital therapeutics can be used for a variety of conditions. There is no single methodology used in the practice of digital therapeutics. Many approaches use methods based upon cognitive behavioral therapy to spur patients to make lifestyle changes, reinforced with gamification, peer support, and in some cases telehealth such as coaching or psychotherapy. The method can be used to manage and improve outcomes in numerous conditions, including type II diabetes, Alzheimer's disease, dementia, congestive heart failure, chronic obstructive pulmonary disease, asthma, lung disease, obesity, substance abuse, ADHD, insomnia, hypertension, anxiety, depression, and others.[2][16][17][11]

Methodologies can be as simple as psychoeducation or sending notifications designed to alter behavior to patients who are at risk of obesity or diabetes[15][2] and as complex as administering an ingestible radio tag that communicates with an external sensor to monitor the efficacy of a given medication.[4] Diabetes and obesity prevention and management is a major focus in the field of digital therapeutics.[26][10] Connected devices like insulin pumps, blood glucose meters, and wearable devices can all send data to a unified system. The therapy also uses self-reported data like diet or other lifestyle factors.[2][3] It is also often used to monitor the potential for heart and lung conditions and change behaviors like smoking, poor diet, or a lack of exercise.[25][2]

Digital therapeutics can also be used to treat patients with psychological and neurological symptoms. For example, patients with disorders like ADHD, depression, and anxiety can receive cognitive behavioral therapy via their mobile devices.[18] One study looked at the efficacy of avatar-based therapeutic interventions to reduce depressive symptoms.[14] There is also evidence of how Avatar therapy can help in reducing the distress caused by voices in schizophrenia.[27][28] Another study analyzed seven clinical trials to demonstrate the efficacy of a digital therapeutic in significantly reducing blood pressure.[16] A preliminary study suggested that a mobile mindfulness app may be able to decrease acute stress while improving mood.[29]

Outcomes

edit

The general consensus among researchers in the field of digital therapeutics is that the discipline requires more clinical data and investigation to be fully evaluated.[3][23] A variety of studies have been conducted to evaluate the efficacy and impact of behavior change techniques that utilize a digital platform, however.[3][11][26] In a meta-analysis of 85 such studies comprising a total sample size of over 43,000 participants, researchers discovered that digital therapeutics have a "statistically small but significant effect on health-related behavior." The study also showed that a broader use of theory, behavior change techniques, and modes of delivery (especially regular notifications) improved the efficacy of a given program.[3]

Individual studies have also showed some benefits for patients. For instance, a diabetes prevention program using digital therapeutics saw participants lose an average of 4.7% of baseline body weight after 1 year (4.2% after 2 years) and undergo a 0.38% reduction in A1c levels after 1 year (0.43% after 2 years).[3] Another weight loss pilot program using digital therapeutics reported a mean weight loss of 13.5 pounds (or 7.3% of baseline) with a significant average drop in both systolic and diastolic blood pressure (18.6 mmHg and 6.4 mmHg respectively). The study also saw a slight but statistically insignificant drop in total cholesterol, LDL, triglycerides, and A1c.[26]

That said, the concept of outcomes and impact in the context of digital therapeutics is generally defined broader than strictly health outcomes.[30] A recent review of 244 studies highlighted that, on top of improving health outcomes in certain circumstances as outlined above, the value of digital therapeutics can also arise from improving healthcare access to underserved populations and address health inequalities, or reducing healthcare expenditure.[31] This broader interpretation has also called into question the fitness of traditional health technology assessment frameworks and given rise to calls to develop novel frameworks that embrace the variety of impacts that digital therapeutics can have.[32][33]

Regulation of digital therapeutics

edit

While a broad range of unregulated health apps have historically been available in the App Store (iOS/iPadOS) or Google Play since their launch, many of these have been found to produce inconsistent, misleading, or dangerous results.[34] In response, regulators in the United States such as the Food and Drug Administration have developed regulatory frameworks such as software as a medical device (SaMD)[35] which require manufacturers to prove that their apps are safe, effective, and that rigorous quality management system processes are in place to ensure that remains the case as software updates occur. However, in an assessment of 4,936 apps that fall under the SaMD umbrella in the United States published in 2019, only 105 (2.13%) included a specific summary of their cybersecurity content.[36] While the content of cybersecurity in SaMD devices was observed to be growing in newer SaMD applications, the (perceived) absence of clear cybersecurity measures in the vast majority of SaMD devices remains a substantial barrier for patients and health professionals to start using digital therapeutics in practice.[31]

In the European Union, regulation (EU) 2017/745, commonly known as "EU MDR" classifies potential digital therapeutics in terms of their intended use, application, and potential to cause harm. Because digital therapeutics are increasingly operating within a regulated environment, the degree of documentation and regulatory compliance (such as ISO 13485 or the CE mark) has increased too.

Reimbursement and commercialization

edit

Unlike medication or the billable hours of healthcare professionals, there are not currently clear pathways to reimbursement in most health systems.[35] While many manufacturers seek FDA clearance or approval, this is only the first step on the path to being reimbursed for the use of a DTX.[37] Accordingly, digital therapeutics companies pursue a range of business models:

  • Direct-to-consumer (DTC) - A digital therapeutic available directly through a smartphone's app store. Business models available include Freemium, subscriptions, advertising, and selling the anonymized data to third parties
  • Business-to-business (B2B) - Employers may wish to make digital therapeutics available for their workforce, either directly as a benefit or via a benefits administration company
  • Pharmaceutical industry partnership - Jointly developing solutions either to directly treat patients or to be used adjunctively i.e. in tandem with a drug, where the DTx may serve to enhance the effectiveness of the drug by promoting medication adherence or having its own effect. While such partnerships can bring in multi-million dollar revenues, ultimately the pharmaceutical company itself will seek reimbursement and is potentially not the ultimate customer.[37]
  • Payer reimbursement - Being paid directly by a health system or health insurance company. While still in a nascent state in most countries, lobbying efforts are underway in the US for there to be specific reimbursement codes for DTx. [38] Germany is the first country with specific processes for reimbursement (known as DiGa), with France, Italy, and the UK currently considering new pathways to reimbursement.[39] Although German physicians and insurers can prescribe digital therapeutics and be reimbursed at a national level for around 300 Euro per course of treatment, adoption to date has been slow.[40]

To help build the business case for their usage, DTx companies often commission health economics evaluations of their interventions to show that their use ultimately lowers healthcare costs in the medium-long term, such as by reducing the need for hospital admissions or expensive surgeries.[37]

See also

edit

References

edit
  1. ^ "Join DTA". Archived from the original on 2020-10-28. Retrieved 2019-06-11.
  2. ^ a b c d e f g h Kvedar JC, Fogel AL, Elenko E, Zohar D (March 2016). "Digital medicine's march on chronic disease". Nature Biotechnology. 34 (3): 239–246. doi:10.1038/nbt.3495. PMID 26963544. S2CID 1515998.
  3. ^ a b c d e f g h i j k Sepah SC, Jiang L, Peters AL (April 2015). "Long-term outcomes of a Web-based diabetes prevention program: 2-year results of a single-arm longitudinal study". Journal of Medical Internet Research. 17 (4): e92. doi:10.2196/jmir.4052. PMC 4409647. PMID 25863515.
  4. ^ a b c d Hixon T (9 December 2015). "Digital Therapeutics Have Huge Promise And They Are Real Today". Forbes. Retrieved 19 October 2016.
  5. ^ Cymerys E, Duffy S (May 2015). "Implementing USPSTF Recommendations on Behavioral Counseling for Cardiovascular Disease". Health Watch (78).
  6. ^ "Understanding DTx: A New Category of Medicine" (PDF). Digital Therapeutics Alliance.
  7. ^ Duffy S (17 April 2014). "What If Doctors Could Finally Prescribe Behavior Change?". Forbes. Retrieved 19 October 2016.
  8. ^ a b Hird N, Ghosh S, Kitano H (June 2016). "Digital health revolution: perfect storm or perfect opportunity for pharmaceutical R&D?". Drug Discovery Today. 21 (6): 900–911. doi:10.1016/j.drudis.2016.01.010. PMID 26821131.
  9. ^ a b Capobianco E (10 November 2015). "On Digital Therapeutics". Frontiers in Digital Humanities. 2 (6). doi:10.3389/fdigh.2015.00006.
  10. ^ a b Vlachopapadopoulou E, Fotiadis DI (26 January 2016). "Chapter 7: The Contribution of mHealth in the Care of Obese Pediatric Patients". In Moumtzoglou A (ed.). M-Health Innovations for Patient-Centered Care. IGI Global. pp. 126–146. ISBN 978-1466698611.
  11. ^ a b c Dahlberg LE, Grahn D, Dahlberg JE, Thorstensson CA (June 2016). "A Web-Based Platform for Patients With Osteoarthritis of the Hip and Knee: A Pilot Study". JMIR Research Protocols. 5 (2): e115. doi:10.2196/resprot.5665. PMC 4912680. PMID 27261271.
  12. ^ Wicklund E (13 October 2016). "Is Digital Therapeutics the Next Big Thing in mHealth?". mHealth Intelligence. Retrieved 19 October 2016.
  13. ^ Dignan L (18 November 2015). "Ready for digital therapeutics? Andreessen Horowitz hopes so". ZDNet. Archived from the original on November 19, 2015. Retrieved 19 October 2016.
  14. ^ a b Pinto MD, Greenblatt AM, Hickman RL, Rice HM, Thomas TL, Clochesy JM (July 2016). "Assessing the Critical Parameters of eSMART-MH: A Promising Avatar-Based Digital Therapeutic Intervention to Reduce Depressive Symptoms". Perspectives in Psychiatric Care. 52 (3): 157–168. doi:10.1111/ppc.12112. PMID 25800698.
  15. ^ a b c d Lorenzetti L (22 April 2016). "This Company Is Tackling Diabetes With 'Digital Therapeutics'". Fortune. Retrieved 19 October 2016.
  16. ^ a b c Elliott WJ, Izzo JL (August 2006). "Device-guided breathing to lower blood pressure: case report and clinical overview". MedGenMed. 8 (3): 23. PMC 1781326. PMID 17406163.
  17. ^ a b Baum S (30 April 2016). "Digitizing substance abuse treatment and recovery". Med City News. Retrieved 19 October 2016.
  18. ^ a b c Gebremedhin D, Schuster M (29 August 2016). "Overview: Health tech startups innovating the behavioral health space". Mobi Health News. Retrieved 19 October 2016.
  19. ^ Honeyman M, Gretton C (15 April 2016). "Eight technologies that could change healthcare beyond recognition". The Guardian. Retrieved 19 October 2016.
  20. ^ a b Suennen L (29 March 2016). "Is the time right for digital therapeutics?". Med City News. Retrieved 19 October 2016.
  21. ^ Yeager D (November 2014). "Fighting Chronic Disease With Digital Therapeutics". Today's Dietitian. Retrieved 19 October 2016.
  22. ^ "TEAS Plus Trademark Application". United States Patent and Trademark Office. 27 October 2012. 85765357.
  23. ^ a b Le Ber JM, Lombardo NT, Wimmer E (22 January 2015). "Building technology services that address student needs". Medical Reference Services Quarterly. 34 (1): 1–16. doi:10.1080/02763869.2015.986708. PMID 25611437. S2CID 21795716.
  24. ^ "Digital Therapeutics Alliance".
  25. ^ a b Kvedar J (25 August 2016). "It's time to break free of the traditional paradigms of disease management". Med City News. Retrieved 19 October 2016.
  26. ^ a b c Willey S, Walsh JK (January 2016). "Outcomes of a Mobile Health Coaching Platform: 12-Week Results of a Single-Arm Longitudinal Study". JMIR mHealth and uHealth. 4 (1): e3. doi:10.2196/mhealth.4933. PMC 4723727. PMID 26747611.
  27. ^ Craig, Tom KJ; Rus-Calafell, Mar; Ward, Thomas; Leff, Julian P; Huckvale, Mark; Howarth, Elizabeth; Emsley, Richard; Garety, Philippa A (January 2018). "Avatar therapy for auditory verbal hallucinations in people with psychosis: a single-blind, randomised controlled trial". The Lancet Psychiatry. 5 (1): 31–40. doi:10.1016/s2215-0366(17)30427-3. ISSN 2215-0366.
  28. ^ "AVAtalk | Avatar therapy made accessible". Retrieved 2024-10-20.
  29. ^ Walsh KM, Saab BJ, Farb NA (January 2019). "Effects of a Mindfulness Meditation App on Subjective Well-Being: Active Randomized Controlled Trial and Experience Sampling Study". JMIR Mental Health. 6 (1): e10844. doi:10.2196/10844. PMC 6329416. PMID 30622094.
  30. ^ Gensorowsky, Daniel; Witte, Julian; Batram, Manuel; Greiner, Wolfgang (December 2022). "Market access and value-based pricing of digital health applications in Germany". Cost Effectiveness and Resource Allocation. 20 (1): 25. doi:10.1186/s12962-022-00359-y. ISSN 1478-7547. PMC 9195309. PMID 35698135.
  31. ^ a b van Kessel, Robin; Roman-Urrestarazu, Andres; Anderson, Michael; Kyriopoulos, Ilias; Field, Samantha; Monti, Giovanni; Reed, Shelby D; Pavlova, Milena; Wharton, George; Mossialos, Elias (2023-07-25). "Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review". Journal of Medical Internet Research. 25: e48000. doi:10.2196/48000. ISSN 1438-8871. PMC 10410406. PMID 37490322.
  32. ^ Lantzsch, Hendrikje; Panteli, Dimitra; Martino, Filippo; Stephani, Victor; Seißler, David; Püschel, Constanze; Knöppler, Karsten; Busse, Reinhard (2022-04-21). "Benefit Assessment and Reimbursement of Digital Health Applications: Concepts for Setting Up a New System for Public Coverage". Frontiers in Public Health. 10: 832870. doi:10.3389/fpubh.2022.832870. ISSN 2296-2565. PMC 9068958. PMID 35530738.
  33. ^ Haig, Madeleine; Main, Caitlin; Chávez, Danitza; Kanavos, Panos (June 2023). "A Value Framework to Assess Patient-Facing Digital Health Technologies That Aim to Improve Chronic Disease Management: A Delphi Approach". Value in Health. 26 (10): 1474–1484. doi:10.1016/j.jval.2023.06.008. PMID 37385445.
  34. ^ Wicks P, Chiauzzi E (September 2015). "'Trust but verify'--five approaches to ensure safe medical apps". BMC Medicine. 13 (1): 205. doi:10.1186/s12916-015-0451-z. PMC 4583172. PMID 26404791.
  35. ^ a b Miao BY, Arneson D, Wang M, Butte AJ (January 2022). Celi LA (ed.). "Open challenges in developing digital therapeutics in the United States". PLOS Digital Health. 1 (1): e0000008. doi:10.1371/journal.pdig.0000008. ISSN 2767-3170. PMC 9931293. PMID 36812515.
  36. ^ Stern, Ariel Dora; Gordon, William J; Landman, Adam B; Kramer, Daniel B (June 2019). "Cybersecurity features of digital medical devices: an analysis of FDA product summaries". BMJ Open. 9 (6): e025374. doi:10.1136/bmjopen-2018-025374. ISSN 2044-6055. PMC 6609083. PMID 31256020.
  37. ^ a b c Reuter E (11 April 2022). "Can digital therapeutics become profitable?". MedTech Dive. Retrieved 2023-01-29.
  38. ^ Patel N. "Medicare Billing Codes For Digital Therapeutics: A Path Forward". Health Affairs Forefront.
  39. ^ Foxon G, Danev V, Craddy P, Wilson C (January 2022). "POSA263 How Do the Pricing and Reimbursement Policies for Digital Therapeutics Compare and Contrast Between the US, EU-5, China and Japan?". Value in Health. 25 (1): S171. doi:10.1016/j.jval.2021.11.830. S2CID 246150970.
  40. ^ Dahlhausen F, Zinner M, Bieske L, Ehlers JP, Boehme P, Fehring L (January 2022). "There's an app for that, but nobody's using it: Insights on improving patient access and adherence to digital therapeutics in Germany". Digital Health. 8: 20552076221104672. doi:10.1177/20552076221104672. PMC 9260569. PMID 35811758.
Retrieved from "https://en.wikipedia.org/w/index.php?title=Digital_therapeutics&oldid=1253803152"