Evidence map›Paper›PMID 40128712›Full record

Trial reportBMC medicine2025

Language complexity of patient-physician chat communication on hypertension control: results of the cluster-randomised PIA study.

Simon-Konstantin Thiem, Lucas Küppers, Benjamin Aretz, Arezoo Bozorgmehr, Arian Karimzadeh, Frauke Leupold, Birgitta Weltermann

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Simon-Konstantin ThiemInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Lucas KüppersInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Benjamin AretzInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Arezoo BozorgmehrInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Arian KarimzadehInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Frauke LeupoldInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Birgitta WeltermannInstitute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany. pia@ukbonn.de.

Funding

German Innovation Fund, located at the Federal Joint Committee 01NVF17002
6 · The paper itself

Abstract

backgroundHigh language complexity impairs patients' understanding and medical outcomes. While messengers accelerate communication, the language complexity of chats between patients and providers is poorly studied. This study analyses language complexity and communication characteristics of chat data from the PIA study, which significantly improved blood pressure control after 6 to 12 months.

methodsThe cluster-randomised controlled PIA study enrolled 848 hypertension patients (412 intervention, 436 control) from 64 German general practices. The PIA technology enabled a secured communication of blood pressure readings, medication plans and messages. The chats were analysed regarding frequency, length, response time and content. Language complexity was measured using the Flesch index with seven levels from 'hard' to 'very simple'. The study is registered in the German Clinical Trials Register (DRKS00012680).

resultsIn total, 4231 messages were sent between 24 general practitioners and 363 patients of the intervention arm between 09/20 and 09/21: 22% messages (n = 941) were automated (new medication plan or prescription available), while 78% were non-automated (n = 3290), with 41.1% of these messages originating from patients and 58.9% from practices. The average chat dialogue lasted 176.8 days (SD 9.8). Patients' messages had a mean of 22.6 words (SD 22.6) compared to 16.8 (SD 19.4) by practices. Most messages (88.92%) from practices and 51.9% from patients addressed medication or treatments. Simple or very simple language was used in 90.5% of the messages both by patients and by physicians regardless of sociodemographic characteristics. BP improved with increased frequency of messages (p < 0.001).

conclusionsThis communication showed a remarkably low language complexity by physicians and patients and better control with more messages. The results support the use of digital communication for topics such as chronic hypertension care.

trial registrationGerman Clinical Trials Register, DRKS00012680. Registered May 10th, 2019, https://www.drks.de/drks_web/setLocale_EN.do .

Indexed as

CommunicationHypertensionLanguagePhysician-Patient RelationsAdultAgedFemaleGermanyHumansMaleMiddle AgedChat analysisDigital careFamily medicineFlesch indexGeneral practiceHypertensionInformation communication technologyLanguage complexitymHealthPatient-physician communication

Identifiers

PMID40128712
PMCPMC11934458

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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.