ArticleDigital health
Research on disease management of chronic disease patients based on digital therapeutics: A scoping review.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparing Pulmonary Telerehabilitation and Center-Based Pulmonary Rehabilitation for Effectiveness and Adherence in Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Metformin-Enhanced Digital Therapeutics for the Affordable Primary Prevention of Diabetes and Cardiovascular Diseases: Advancing Low-Cost Solutions for Lifestyle-Related Chronic Disorders.Healthcare (Basel, Switzerland) · 2025Article
- Biophilic design, neuroarchitecture and therapeutic home environments: harnessing medicinal properties of intentionally-designed spaces to enhance digital health outcomes.Frontiers in medicine · 2025Article
- Applications, technical foundations and challenges of digital twins for chronic disease management: A scoping review.Digital healthReview
- Navigating the DiGA jungle: A taxonomy and archetypal framework of the German digital therapeutics landscape.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The prevalence of chronic diseases is rising annually due to the aging of the population, and these illnesses constitute a major cause of mortality. Digital therapeutics (DTx) is a promising solution for the prevention and management of chronic diseases. With the rapid advancement of information technology in recent years, software algorithms or applications based on clinical assessment, evidence, and technology can be used to directly provide digital medical interventions to patients to promote disease management. Digital therapeutics has been applied in the field of various diseases. The most significant application area among them is the management, treatment, and intervention of chronic illnesses. Objectives: To provide a comprehensive understanding of the benefits and drawbacks of using digital therapeutics for the management of patients with chronic diseases. Methods: The scoping review framework developed by Arksey and O'Malley was applied to the process. Using the research method of scope review, the network retrieval of pertinent papers was conducted in eight databases, including PubMed, Web of Science, ScienceDirect, and CNKI. The database was retrieved between the date of database creation and September 20, 2023. The "PCC" principle was used to determine the inclusion criterion. Analyze and discuss the mentioned literature. Findings were presented in tabular and descriptive formats. Results: The scoping review included 25 studies. The intervention carriers of digital therapeutics included health management systems, digital health platforms, learning machine models, and so on. Professional technologists, medical personnel, and others were among the implementation personnel. Disease management strategies included application-based home workout plan intervention, virtual reality digital control mode intervention, and so on. Digital therapeutics helped patients with symptom monitoring, medication management, weight control, mental health, and everyday activities. Conclusion: Digital therapeutics improves the treatment of chronic disease patients and promotes health recovery. In the future, under the supervision of the treatment team, we should formulate scientific, standardized, and relevant digital therapeutic disease management programs according to the application status of patients with chronic diseases and develop more customized digital therapeutic projects.
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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.