Evidence map›Paper›PMID 41183160›Full record

ArticleJMIR mHealth and uHealth2025

Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model-Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study.

Alan Jelic, Igor Sesto, Luka Rotkvic, Luka Pavlovic, Nikola Erceg, Nina Sesto, Zeljko Kraljevic, Joshua Au Yeung, Amos Folarin, Richard Dobson and 1 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alan JelicMagdalena Clinic for Cardiovascular Diseases, Zagreb, Croatia.ORCID 0000-0002-7214-288X
Igor SestoMagdalena Clinic for Cardiovascular Diseases, Zagreb, Croatia.ORCID 0000-0002-2201-4425
Luka RotkvicMagdalena Clinic for Cardiovascular Diseases, Zagreb, Croatia.ORCID 0000-0003-0848-1876
Luka PavlovicMegi Health Ltd, London, United Kingdom.ORCID 0009-0006-2362-7393
Nikola ErcegDepartment of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia.ORCID 0000-0002-9056-4592
Nina SestoMegi Health Ltd, London, United Kingdom.ORCID 0009-0002-8410-5653
Zeljko KraljevicKing's College London, 16 De Crespigny Park, London, SE5 8AB, United Kingdom, 44 020 7848 0002.ORCID 0000-0002-2310-2486
Joshua Au YeungKing's College Hospital NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-9428-2146
Amos FolarinKing's College London, 16 De Crespigny Park, London, SE5 8AB, United Kingdom, 44 020 7848 0002.ORCID 0000-0002-0333-1927
Richard DobsonKing's College London, 16 De Crespigny Park, London, SE5 8AB, United Kingdom, 44 020 7848 0002.ORCID 0000-0003-4224-9245
Petroula LaiouKing's College London, 16 De Crespigny Park, London, SE5 8AB, United Kingdom, 44 020 7848 0002.ORCID 0000-0002-5798-6961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension, one of the most common cardiovascular conditions worldwide, necessitates comprehensive management due to its association with multiple health risks. Effective control often involves lifestyle changes and continuous monitoring, yet many individuals struggle to adhere to traditional management approaches. Digital health tools are emerging as promising alternatives, offering remote monitoring and real-time support. This study focuses on evaluating a digital tool specifically designed for hypertension management, analyzing its effectiveness, and gathering user perspectives on its functionality and impact. Objective: The primary objective of this study is to assess the effectiveness of a digital health tool in managing hypertension. Additionally, the study aims to understand user experiences and satisfaction levels to gauge the tool's acceptance and potential for long-term use. By analyzing data from a large cohort, we seek to determine whether the tool can contribute to meaningful reductions in blood pressure and support sustained engagement over time. Methods: The study includes a cohort of 5136 participants who used the digital hypertension management tool. This tool provides continuous blood pressure monitoring, real-time feedback, and personalized health recommendations, which are crucial for tailored intervention. Participants recorded their blood pressure values over time, and we tracked retention rates to measure adherence. An online survey was administered to gather user feedback, focusing on ease of use, satisfaction levels, and perceived health benefits. Results: Our analysis indicates a significant reduction in blood pressure values among users, with a positive correlation observed between the duration of use and the extent of blood pressure reduction. We performed a 1-sided Wilcoxon Rank Sum test to compare systolic blood pressure values in the first and last biweekly use intervals, and descriptive statistics were used to assess survey responses. High retention rates were observed, with 2583 (50.3%) participants using the tool after 1 year. Survey responses revealed high satisfaction, with users highlighting the tool's ease of use and noting reduced anxiety related to blood pressure management. These results suggest that users found the digital tool both effective and convenient. Conclusions: This study demonstrates the potential benefits of digital health tools in managing hypertension, emphasizing their ability to engage users over long periods and support blood pressure reduction. The high satisfaction rates and positive user feedback underscore the importance of user-centered design in creating effective health interventions. Overall, the findings suggest that digital tools, when designed with a focus on user experience, could be a valuable component in hypertension management strategies, complementing traditional health care approaches.

Indexed as

Blood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryHypertensionAdultAgedBlood PressureCohort StudiesFemaleHumansLarge Language ModelsMaleMiddle AgedPatient SatisfactionSurveys and QuestionnairesTelemedicineAIartificial intelligencedigital toolshypertensionlarge language modelsLLMs

Identifiers

PMID41183160
PMCPMC12582380

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.