Evidence map›Paper›PMID 33723721›Full record

Trial reportJournal of medical systems2021

TensioBot: a Chatbot Assistant for Self-Managed in-House Blood Pressure Checking.

Leyre Echeazarra, Juanan Pereira, Ramón Saracho

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of medical systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06845007 (PROMBot), which is not on this map. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 pooled it
7.7field-weighted citation impact, top 2% of its field
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.

NCT06845007 completednot on this mapstarted 2025, after this paper: background citation

PROMBot: A Web Platform for Collecting Patient-Reported Outcome Measures Via a Chatbot

TypeobservationalSponsorAna Rita LondralRan2025 to 2025Enrolled24ConditionsHypertension
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 5 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  18. Opportunities and Risks of Large Language Models in Psychiatry.NPP - digital psychiatry and neuroscience · 2024
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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

3 authors at 2 institutions in 1 country.

Leyre Echeazarra *Physiology Department, University of the Basque Country (UPV/EHU), Paseo de la Universidad, 7, 01006, Vitoria-Gasteiz, Spain. leyre.echeazarra@ehu.eus.ORCID https://orcid.org/0000-0002-3935-1903
Juanan Pereira *LSI Department, University of the Basque Country (UPV/EHU), Manuel Lardizabal Ibilbidea, 1, 20018, Donostia, Spain.ORCID https://orcid.org/0000-0002-7935-3612
Ramón SarachoBioAraba Health Research Institute, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-7849-5440
University of the Basque Country · ESBioCruces Health research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a chronic condition that can lead to serious health problems. Patients with High Blood Pressure (HBP) are often asked to have their BP checked at home. The traditional at-home procedure has some drawbacks, such as forgetting to check or write down the values, errors in transcribing the numbers, or the impossibility of immediately notifying medical staff of out-of-range BP values. To facilitate self-measurements by patients at home we devised TensioBot, a Telegram based chatbot. The bot sends patients reminders to check their BP, advice on good monitoring practices, measurement tracking, medical alerts and allows healthcare professionals to access up-to-date measurement information. TensioBot has been tested for two years in a randomized controlled trial with 112 patients (55 using the bot and 57 in the control group). We found that, although the bot group showed similar results in terms of adherence to the BP checking schedule, bot users scored better in terms of knowledge and skills on BP checking best practices. Participants rated the bot very positively, perceived it as useful and easy to use, and continued to use it after the intervention. Moreover, all data being equal, we describe some other benefits of using a chatbot for self-managed in-house BP control, both for patients and healthcare professionals and systems.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionBlood PressureHumansBlood pressureChatbotsHypertensionmHealth

Identifiers

PMID33723721
OpenAlexW3136783667

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.