Back

Evaluating the clinical effectiveness and patient experience of an AI-based digital tool for home-based blood pressure management

Jelic, A.; Sesto, I.; Rotkvic, L.; Pavlovic, L.; Erceg, N.; Sesto, N.; Kraljevic, Z.; Au Yeung, J.; Folarin, A. A.; Dobson, R.; Laiou, P.

2024-08-26 cardiovascular medicine
10.1101/2024.08.25.24312553
Show abstract

Hypertension, a prevalent cardiovascular condition, requires effective management of multimodal health risk factors. This study examines the effectiveness of a digital health tool designed for hypertension management and explores user perspectives on its utility. We analyse a cohort of 5,136 participants who used the digital tool, which provides continuous blood pressure monitoring, real-time feedback, and personalized health recommendations. Our results show that users achieve significant reduction in their blood pressure values and this reduction is positively correlated with the duration for which users report their blood pressure values. Additionally, we obtain high retention rates even after one year of using the digital tool. User feedback was collected through an online survey revealing high satisfaction rates. Participants highlighted the tools ease of use, and felt less anxious. Overall, our study demonstrates the potential of digital health tools in enhancing hypertension management and highlights the importance of user-centred design in developing effective health interventions.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
JMIR Formative Research
based on 31 papers
Top 0.1%
11.2%
2
PLOS ONE
based on 1737 papers
Top 45%
11.2%
3
DIGITAL HEALTH
based on 11 papers
Top 0.1%
10.2%
4
npj Digital Medicine
based on 85 papers
Top 3%
6.4%
5
Cureus
based on 64 papers
Top 3%
5.3%
6
Open Heart
based on 18 papers
Top 0.9%
5.3%
7
Scientific Reports
based on 701 papers
Top 43%
4.5%
50% of probability mass above
8
Journal of the American Heart Association
based on 92 papers
Top 7%
2.8%
9
Journal of Medical Internet Research
based on 81 papers
Top 6%
2.5%
10
European Heart Journal - Digital Health
based on 15 papers
Top 1%
2.4%
11
BMJ Open
based on 553 papers
Top 36%
2.3%
12
Journal of Clinical Medicine
based on 77 papers
Top 7%
2.3%
13
Frontiers in Physiology
based on 18 papers
Top 1.0%
2.3%
14
PLOS Digital Health
based on 88 papers
Top 7%
2.3%
15
Frontiers in Cardiovascular Medicine
based on 33 papers
Top 4%
1.9%
16
Hypertension
based on 20 papers
Top 2%
1.6%
17
The Lancet Digital Health
based on 25 papers
Top 3%
1.3%
18
Journal of NeuroEngineering and Rehabilitation
based on 14 papers
Top 2%
1.2%
19
Heart
based on 10 papers
Top 3%
0.8%
20
Pilot and Feasibility Studies
based on 12 papers
Top 1%
0.8%
21
The American Journal of Cardiology
based on 15 papers
Top 4%
0.8%
22
BMC Medical Informatics and Decision Making
based on 36 papers
Top 8%
0.7%
23
Sensors
based on 18 papers
Top 4%
0.7%
24
Journal of the American Medical Informatics Association
based on 53 papers
Top 7%
0.7%
25
International Journal of Medical Informatics
based on 25 papers
Top 6%
0.7%
26
Frontiers in Public Health
based on 135 papers
Top 28%
0.7%
27
Computers in Biology and Medicine
based on 39 papers
Top 7%
0.7%
28
Healthcare
based on 14 papers
Top 4%
0.7%
29
JMIR Research Protocols
based on 18 papers
Top 4%
0.7%