Effectiveness of an online education program for asthma patients in general practice: study protocol for a cluster randomized controlled trial.

Asthma Asthma knowledge Cluster randomized controlled trial Digital intervention Patient education Primary care Self-management

Journal

BMC pulmonary medicine
ISSN: 1471-2466
Titre abrégé: BMC Pulm Med
Pays: England
ID NLM: 100968563

Informations de publication

Date de publication:
01 Dec 2022
Historique:
received: 09 09 2022
accepted: 27 10 2022
entrez: 1 12 2022
pubmed: 2 12 2022
medline: 6 12 2022
Statut: epublish

Résumé

Asthma education programs (AEPs) have been shown to increase quality of life and reduce emergency treatments and hospital admissions. Despite the proven benefits, only a minority of asthma patients attend such programs. To increase the number of educated patients, an online education program (electronic AEP, eAEP) for asthma patients has been developed. The present study aims to investigate the effectiveness of the eAEP in terms of asthma knowledge, asthma control and emergency treatments in general practice settings. This is a cluster randomized controlled trial including 100 patients with bronchial asthma from 20 general practices in Bavaria, Germany. General practices will be randomly assigned to either the intervention or control group. Patients in the intervention group will receive access to the eAEP and instructions to complete this program within two weeks. Patients in the control group will receive usual care including a referral to face-to-face AEP (fAEP) by a certified primary care physician or a pulmonologist according to guideline recommendations. Furthermore, patients of both the intervention and control groups will be invited to a follow-up consultation in their general practice after completion of the eAEP and fAEP (three weeks and twelve weeks after study inclusion, respectively) to discuss any open issues. Outcomes for both groups will be assessed at baseline (t The results of the present trial will provide knowledge about the effectiveness of an online education program for asthma patients compared to usual care in primary care. German Clinical Trials Register (DRKS), DRKS00028805 . Registered 22 April 2022.

Sections du résumé

BACKGROUND BACKGROUND
Asthma education programs (AEPs) have been shown to increase quality of life and reduce emergency treatments and hospital admissions. Despite the proven benefits, only a minority of asthma patients attend such programs. To increase the number of educated patients, an online education program (electronic AEP, eAEP) for asthma patients has been developed. The present study aims to investigate the effectiveness of the eAEP in terms of asthma knowledge, asthma control and emergency treatments in general practice settings.
METHODS METHODS
This is a cluster randomized controlled trial including 100 patients with bronchial asthma from 20 general practices in Bavaria, Germany. General practices will be randomly assigned to either the intervention or control group. Patients in the intervention group will receive access to the eAEP and instructions to complete this program within two weeks. Patients in the control group will receive usual care including a referral to face-to-face AEP (fAEP) by a certified primary care physician or a pulmonologist according to guideline recommendations. Furthermore, patients of both the intervention and control groups will be invited to a follow-up consultation in their general practice after completion of the eAEP and fAEP (three weeks and twelve weeks after study inclusion, respectively) to discuss any open issues. Outcomes for both groups will be assessed at baseline (t
DISCUSSION CONCLUSIONS
The results of the present trial will provide knowledge about the effectiveness of an online education program for asthma patients compared to usual care in primary care.
TRIAL REGISTRATION BACKGROUND
German Clinical Trials Register (DRKS), DRKS00028805 . Registered 22 April 2022.

Identifiants

pubmed: 36456965
doi: 10.1186/s12890-022-02217-2
pii: 10.1186/s12890-022-02217-2
pmc: PMC9713723
doi:

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

457

Subventions

Organisme : Bundesministerium für Bildung und Forschung
ID : 01GK1903A-D

Informations de copyright

© 2022. The Author(s).

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Auteurs

Stefanie Eck (S)

Institute of General Practice and Health Services Research, TUM School of Medicine, Technical University of Munich (TUM), Orleansstraße 47, 81667, Munich, Germany. stefanie.eck@mri.tum.de.

Alexander Hapfelmeier (A)

Institute of General Practice and Health Services Research, TUM School of Medicine, Technical University of Munich (TUM), Orleansstraße 47, 81667, Munich, Germany.
Institute for AI and Informatics in Medicine, TUM School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Klaus Linde (K)

Institute of General Practice and Health Services Research, TUM School of Medicine, Technical University of Munich (TUM), Orleansstraße 47, 81667, Munich, Germany.

Konrad Schultz (K)

Clinic Bad Reichenhall, Center for Rehabilitation, Pneumology and Orthopedics, Bad Reichenhall, Germany.

Jochen Gensichen (J)

Institute of General Practice and Family Medicine, Ludwig-Maximilians-Universität in Munich (LMU Munich), Munich, Germany.

Linda Sanftenberg (L)

Institute of General Practice and Family Medicine, Ludwig-Maximilians-Universität in Munich (LMU Munich), Munich, Germany.

Thomas Kühlein (T)

Institute of General Practice, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.

Stefanie Stark (S)

Institute of General Practice, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.

Ildikó Gágyor (I)

Department of General Practice, Universitätsklinikum Würzburg (UKW), Würzburg, Germany.

Christian Kretzschmann (C)

Department of General Practice, Universitätsklinikum Würzburg (UKW), Würzburg, Germany.

Antonius Schneider (A)

Institute of General Practice and Health Services Research, TUM School of Medicine, Technical University of Munich (TUM), Orleansstraße 47, 81667, Munich, Germany.

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Classifications MeSH