How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education

Physician-oriented online education could be a pathway to improve care for patients with heart failure, however, it is difficult to measure the impact of such education. Self-efficacy is a potential outcome measure. In this article, we develop a methodology for analyzing an educational intervention...

Full description

Bibliographic Details
Main Authors: Willem Raat, Evelyne Housiaux, Miek Smeets, Stefan Janssens, Birgitte Schoenmakers, Bert Vaes
Format: Article
Language:English
Published: SAGE Publishing 2024-03-01
Series:Journal of Medical Education and Curricular Development
Online Access:https://doi.org/10.1177/23821205241232497
_version_ 1827321751206363136
author Willem Raat
Evelyne Housiaux
Miek Smeets
Stefan Janssens
Birgitte Schoenmakers
Bert Vaes
author_facet Willem Raat
Evelyne Housiaux
Miek Smeets
Stefan Janssens
Birgitte Schoenmakers
Bert Vaes
author_sort Willem Raat
collection DOAJ
description Physician-oriented online education could be a pathway to improve care for patients with heart failure, however, it is difficult to measure the impact of such education. Self-efficacy is a potential outcome measure. In this article, we develop a methodology for analyzing an educational intervention for general practitioners (GPs) using self-efficacy as a concept. This study was partly conducted within the setting of an observational study, IMPACT-B, where we developed online education for GPs. We designed and refined a 24-item questionnaire using item analysis, and exploratory and confirmatory factor analysis. Ninety-one GPs completed the questionnaire before and after the online education. Follow-up data after 6 months was available for 13 GPs. Item analysis revealed a high degree of internal consistency (coefficient alpha 0.95) and validity. Each additional year of experience was associated with an average baseline self-efficacy score of 0.50 points (95% CI [0.21-0.80]), and each additional patient in HF follow-up with an average score of 2.0 points (95% CI [0.48-3.5]). Items that differentiated most between GPs with high and low self-efficacy were the treatment of congestion as well as titrating medication and MRA in heart failure with reduced ejection fraction. Factor analysis reduced the number of questions to 14, mapping to three factors (diagnosis, treatment, and follow-up), and improved the model fit as measured by the goodness-of-fit indicator comparative-fit-index (from 0.83 to 0.91). We demonstrated a method to assess the impact of online education on general practitioners. This led to a questionnaire that was reliable, valid, and convenient to use in an implementation context.
first_indexed 2024-04-25T01:13:40Z
format Article
id doaj.art-7493655281aa44758bed5556da927555
institution Directory Open Access Journal
issn 2382-1205
language English
last_indexed 2024-04-25T01:13:40Z
publishDate 2024-03-01
publisher SAGE Publishing
record_format Article
series Journal of Medical Education and Curricular Development
spelling doaj.art-7493655281aa44758bed5556da9275552024-03-10T02:03:19ZengSAGE PublishingJournal of Medical Education and Curricular Development2382-12052024-03-011110.1177/23821205241232497How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure EducationWillem Raat0Evelyne Housiaux1Miek Smeets2Stefan Janssens3Birgitte Schoenmakers4Bert Vaes5 Department of Public Health and Primary Care, , Leuven, Belgium Department of Public Health and Primary Care, , Leuven, Belgium Department of Public Health and Primary Care, , Leuven, Belgium Department of Cardiovascular Diseases, University Hospitals Leuven, , Leuven, Belgium Department of Public Health and Primary Care, , Leuven, Belgium Department of Public Health and Primary Care, , Leuven, BelgiumPhysician-oriented online education could be a pathway to improve care for patients with heart failure, however, it is difficult to measure the impact of such education. Self-efficacy is a potential outcome measure. In this article, we develop a methodology for analyzing an educational intervention for general practitioners (GPs) using self-efficacy as a concept. This study was partly conducted within the setting of an observational study, IMPACT-B, where we developed online education for GPs. We designed and refined a 24-item questionnaire using item analysis, and exploratory and confirmatory factor analysis. Ninety-one GPs completed the questionnaire before and after the online education. Follow-up data after 6 months was available for 13 GPs. Item analysis revealed a high degree of internal consistency (coefficient alpha 0.95) and validity. Each additional year of experience was associated with an average baseline self-efficacy score of 0.50 points (95% CI [0.21-0.80]), and each additional patient in HF follow-up with an average score of 2.0 points (95% CI [0.48-3.5]). Items that differentiated most between GPs with high and low self-efficacy were the treatment of congestion as well as titrating medication and MRA in heart failure with reduced ejection fraction. Factor analysis reduced the number of questions to 14, mapping to three factors (diagnosis, treatment, and follow-up), and improved the model fit as measured by the goodness-of-fit indicator comparative-fit-index (from 0.83 to 0.91). We demonstrated a method to assess the impact of online education on general practitioners. This led to a questionnaire that was reliable, valid, and convenient to use in an implementation context.https://doi.org/10.1177/23821205241232497
spellingShingle Willem Raat
Evelyne Housiaux
Miek Smeets
Stefan Janssens
Birgitte Schoenmakers
Bert Vaes
How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education
Journal of Medical Education and Curricular Development
title How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education
title_full How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education
title_fullStr How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education
title_full_unstemmed How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education
title_short How to Evaluate Online Education for General Practitioners: Development of a Tailored Questionnaire for Heart Failure Education
title_sort how to evaluate online education for general practitioners development of a tailored questionnaire for heart failure education
url https://doi.org/10.1177/23821205241232497
work_keys_str_mv AT willemraat howtoevaluateonlineeducationforgeneralpractitionersdevelopmentofatailoredquestionnaireforheartfailureeducation
AT evelynehousiaux howtoevaluateonlineeducationforgeneralpractitionersdevelopmentofatailoredquestionnaireforheartfailureeducation
AT mieksmeets howtoevaluateonlineeducationforgeneralpractitionersdevelopmentofatailoredquestionnaireforheartfailureeducation
AT stefanjanssens howtoevaluateonlineeducationforgeneralpractitionersdevelopmentofatailoredquestionnaireforheartfailureeducation
AT birgitteschoenmakers howtoevaluateonlineeducationforgeneralpractitionersdevelopmentofatailoredquestionnaireforheartfailureeducation
AT bertvaes howtoevaluateonlineeducationforgeneralpractitionersdevelopmentofatailoredquestionnaireforheartfailureeducation