Efficacy of digital health applications in improving treatment adherence among patients with resistant hypertension: a randomized controlled trial
This study, conducted in Uzbekistan, set out to assess whether digital health apps could genuinely improve medication adherence and blood pressure control among patients with resistant hypertension. Researchers recruited 150 participants from Tashkent medical centers and randomly divided them into two groups: one received standard care, while the other group received both standard care and access to a digital health application. This app included features such as medication reminders, blood pressure tracking, personalized educational content, and direct communication with healthcare professionals. The intervention spanned six months. The outcomes were quite striking. Participants using the digital health app showed a marked improvement in adherence to their treatment regimen—nearly a 35% increase, compared to just over 7% in the control group. Reductions in systolic blood pressure were also far more substantial in the intervention group (over 12 mmHg) versus the control group (just above 5 mmHg). The pattern held for diastolic pressure as well, with the intervention group achieving a mean reduction of almost 9 mmHg, compared to just over 3 mmHg in the control group. Furthermore, more than two-thirds of the intervention group reached optimal blood pressure targets, a significant contrast to the control group, where only about one-third achieved similar results. These findings suggest that digital health applications can make a meaningful difference in both treatment adherence and blood pressure control for individuals with resistant hypertension in a clinical setting. Overall, the evidence supports integrating digital health solutions into standard management protocols for resistant hypertension, particularly in regions such as Uzbekistan.
Institutions
- Urgench State University (UZ)
- Bukhara State Medical Institute named after Abu Ali ibn Sino (UZ)
- Samarkand State Medical Institute (UZ)
- Gulistan State University (UZ)
- Andijan State Medical Institute (UZ)
- National University of Uzbekistan (UZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-19
- DOI
- https://doi.org/10.5281/zenodo.16156327
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00