ArticleJournal of medical Internet research2023
Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Digital Therapeutics in China: Comprehensive Review.Journal of medical Internet research · 2025Pooled it
- Understanding factors impacting patient-reported outcome measures integration in routine clinical practice: an umbrella review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Pooled it
- Delivery Model Matters for Digital Interventions in Pain Self-Management: Mixed Methods Study.Journal of medical Internet research · 2026Trial
- Optimizing Engagement With a Smartphone App to Prevent Violence Against Adolescents: Results From a Cluster Randomized Factorial Trial in Tanzania.Journal of medical Internet research · 2025Trial
- Who Is (Not) Engaging With a Digital Parenting Intervention in Tanzania? Analysis of Predictors Using Data From a Factorial Randomized Trial.JMIR pediatrics and parenting · 2026Article
- User engagement in the tuberculosis treatment support tools intervention and its impact on treatment outcomes: A secondary analysis of a pragmatic trial.PLOS digital health · 2026Article
- Exploring provider attitudes towards digital therapeutics for diabetes and depression.Scientific reports · 2026Article
- Expected Competencies and Personal Attributes of Digital Health Navigators to Support Digital Mental Health Care: Focus Group and Interview Study With Patients and Health Care Professionals.JMIR mental health · 2026Article
- Strategies to Increase Patients' Adherence to Digital Therapeutics for Musculoskeletal Diseases: A Narrative Review.Yonsei medical journal · 2026Review
- Comparing mental health professionals' willingness to use digital therapeutics: a cross-national survey in South Korea and Germany.BMC health services research · 2026Article
- Developing a policy maturity model for prescription digital therapeutics based on expert consensus: protocol for an eDelphi study.BMJ open · 2026Article
- Bridging the divide in digital therapeutics (DTx): Partnership strategies for broader representation across DTx development and deployment.PLOS digital health · 2026Article
- Accessibility and equity considerations in the clinical validation of prescription digital therapeutics: a scoping review.mHealth · 2026Review
- Economic cost of strategic implementation approaches to increase uptake of digital therapeutics for substance use disorders in a large integrated health system.PLOS digital health · 2026Article
- Digital Therapeutics and Blended Care in Major Depressive Disorder: Current Evidence and Future Directions.Advances in experimental medicine and biology · 2026Review
- Evaluating the Effects of Clinician Prescribing and Implementation Materials on Adoption of Virtual Reality Therapeutics: Randomized Feasibility Pilot Study.JMIR XR and spatial computing · 2026Article
- Accelerating Digital Mental Health: The Society of Digital Psychiatry's Three-Pronged Road Map for Education, Digital Navigators, and AI.JMIR mental health · 2025Article
- Artificial intelligence, intellectual property, and human rights: mapping the legal landscape in European health systems.npj health systems · 2025Article
- Pharmacological Prevention in Breast Cancer: Current Evidence, Challenges, and Future Directions.Cancers · 2025Review
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products.
objectiveIn this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals.
methodsA scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis.
resultsWe identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure.
conclusionsThe map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.