Meta-analysis of the treatment effect of digital therapeutics.
Other Titles
디지털 치료제의 치료 효과에 대한 메타 분석
Authors
서영철
College
College of Medicine (의과대학)
Department
Others (기타)
Degree
박사
Issue Date
2024-08
Abstract
Digital therapies (DTx) are emerging as innovative treatment modalities that may surpass the efficacy of traditional interventions such as pharmacological agents and biologics. These therapies leverage digital platforms to deliver personalized and interactive interventions, potentially enhancing patient engagement, treatment adherence, and overall therapeutic outcomes. The rapid advancement of technology and the increasing accessibility of digital devices have paved the way for DTx to become a significant component of modern healthcare. This study aims to meta-analyze the results of digital therapy studies conducted from January 2017 to October 2022, to better understand the overall treatment outcomes and therapeutic efficacy of DTx. A total of fifteen studies, encompassing fifteen control groups, underwent meticulous analysis utilizing Hedges’ g measure to quantify effect sizes. This statistical approach allows for a robust assessment of the magnitude of treatment effects across diverse study designs and populations, thereby providing a comprehensive overview of DTx efficacy. The initial weighted average effect size across the eight control groups revealed a substantial value of 0.91 (Hedges’ g = 0.91, 95% CI: 0.62–1.20), signifying a moderate to large effect size. This indicates that, on average, patients receiving DTx experienced significantly better outcomes compared to those in control groups, highlighting the potential of these therapies to improve clinical outcomes. Further refinement of the analysis, excluding one outlier study, yielded an increased weighted average effect size of 1.13 (Hedges’ g = 1.13, 95% CI: 0.91–1.36). This enhancement underscores the potent therapeutic impact of DTx when certain variability in study outcomes is accounted for, further validating the robustness of these findings. The quality assessment, employing the Bias Risk Assessment Tool, consistently indicated a low risk of bias across the included studies. This validation reinforces the reliability of the meta-analysis outcomes and underscores the integrity of the research designs, ensuring that the findings are both credible and applicable to real-world clinical settings. The analysis affirms the pivotal therapeutic impacts of digital therapies, highlighting their potential to offer personalized treatment approaches and streamline the management of patient treatment processes. Digital platforms enable continuous monitoring, real-time adjustments to treatment plans, and enhanced patient-provider communication, thereby enhancing the precision and responsiveness of healthcare interventions. This capability is particularly advantageous in managing chronic conditions, where ongoing adjustment and patient engagement are critical to successful outcomes. The interactive nature of DTx can also foster greater patient empowerment, adherence to treatment protocols, and overall satisfaction with care. However, it is acknowledged that DTx might encounter limitations in efficacy for patients lacking digital proficiency. This digital divide poses a significant challenge, particularly for older adults or socioeconomically disadvantaged groups who may have limited access to or familiarity with digital technologies. Thus, a comprehensive understanding of the associated advantages and disadvantages is crucial. There is an urgent need for strategies that ensure inclusive access to digital therapies, potentially involving user-friendly interfaces, educational initiatives, and support systems to bridge the digital literacy gap. Addressing these barriers is essential to ensure that the benefits of DTx are equitably distributed across all patient populations. Simultaneously, there is an urgent need to explore effective treatment methods alongside the active integration of DTx, ensuring a balanced and tailored approach to patient care. Future research should focus on the long-term effects and sustainability of DTx interventions, as well as their cost-effectiveness compared to traditional treatments. Investigations into the mechanisms underlying the therapeutic effects of DTx, including patient engagement, adherence, and the psychological impact of digital interaction, are essential to optimize these interventions further. Furthermore, interdisciplinary collaboration will be key in advancing the field of digital health. Integrating insights from technology, psychology, and healthcare can drive the development of more sophisticated and effective DTx solutions. Collaboration among researchers, clinicians, technology developers, and policymakers will facilitate the creation of holistic DTx models that address clinical needs while leveraging technological advancements. As digital health technologies continue to evolve, their integration into clinical practice must be guided by robust evidence and a nuanced understanding of patient needs and preferences. In conclusion, this meta-analysis underscores the significant therapeutic potential of digital therapies. The findings provide a strong foundation for the continued development and integration of DTx into clinical practice. By addressing the challenges of digital literacy and leveraging the strengths of DTx, healthcare systems can move towards more personalized, efficient, and effective treatment paradigms. Ultimately, this transition has the potential to significantly enhance patient outcomes, improve quality of life, and contribute to the overall evolution of healthcare delivery.