Evidence map›Paper›PMID 34696791›Full record

ArticleTrials2021

Optimizing blood pressure control by an Information Communication Technology-supported case management (PIA study): study protocol for a cluster-randomized controlled trial of a delegation model for general practices.

Arian Karimzadeh, Frauke Leupold, Anika Thielmann, Nicola Amarell, Kerstin Klidis, Verena Schroeder, Christine Kersting, Claudia Ose, Karl-Heinz Joeckel, Birgitta Weltermann

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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.

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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. 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

10 authors at 2 institutions in 1 country.

Arian KarimzadehInstitute of Family Medicine and General Practice, Medical Faculty of the University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. Arian.Karimzadeh@ukbonn.de.
Frauke LeupoldInstitute of Family Medicine and General Practice, Medical Faculty of the University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Anika ThielmannInstitute of Family Medicine and General Practice, Medical Faculty of the University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Nicola AmarellInstitute of Family Medicine and General Practice, Medical Faculty of the University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Kerstin KlidisInstitute of Family Medicine and General Practice, Medical Faculty of the University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Verena SchroederCenter for Clinical Trials, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Christine KerstingInstitute for General Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany.
Claudia OseCenter for Clinical Trials, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Karl-Heinz JoeckelCenter for Clinical Trials, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Birgitta WeltermannInstitute of Family Medicine and General Practice, Medical Faculty of the University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
University of Bonn · DEUniversity of Duisburg-Essen · DE

Funding

Deutsches Zentrum für Luft- und Raumfahrt 01NVF17002
6 · The paper itself

Abstract

backgroundLongitudinal hypertension control prevents heart attacks, strokes, and other cardiovascular diseases. However, 49% of patients in German family medicine practices do not reach blood pressure (BP) targets (< 140/90 mmHg). Drawing on successful international approaches, the PIA study introduces the PIA information and communication technology system (PIA-ICT) for hypertension management in primary care. The PIA-ICT comprises the PIA-App for patients and the PIA practice management center for practices. Case management includes electronic communication with patients, recall, and stepwise medication adjustments following guidelines. The system supports a physician-supervised delegation model to practice assistants. General practitioners are qualified by eLearning. Patients learn how to obtain reliable BP readings, which they communicate to the practice using the PIA-App.

methodsThe effectiveness of the PIA-Intervention is evaluated in a cluster-randomized study with 60 practices, 120 practice assistants, and 1020 patients. Patients in the intervention group receive the PIA-Intervention; the control group receives usual care. The primary outcome is the BP control rate (BP < 140/90 mmHg) after 12 months. Using a mixed methods approach, secondary outcomes address the acceptance on behalf of physicians, practice assistants, and patients. This includes an evaluation of the delegation model. DISCUSSION: It is hypothesized that the PIA-Intervention will improve the quality of BP care. Perspectively, it may constitute an important health service model for primary care in Germany.

trial registrationGerman Clinical Trials Register DRKS00012680. Registered on May 10, 2019.

Indexed as

General PractitionersHypertensionAntihypertensive AgentsBlood PressureCase ManagementCommunicationHumansRandomized Controlled Trials as TopicTechnologyTreatment OutcomeAntihypertensive AgentsBlood pressureDelegationFamily medicineGeneral practiceHome blood pressure monitoringHypertensionInformation technologymHealthMobile applicationTelemedicine

Identifiers

PMID34696791
PMCPMC8543417
OpenAlexW3208275440

What OpenQuestion 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 OpenQuestion graph.