AI Article Synopsis
- Multimorbidity (MM) is a common issue that highlights gaps in healthcare professionals' training, prompting the development of the eMULTIPAP course as a potential solution.
- This course is part of a larger research project and employs problem-based learning and constructivist principles, tested through a clinical trial involving general practitioners and their patients.
- Results indicate that the eMULTIPAP course significantly improves GPs' knowledge and motivation to address MM in practice, as well as enhancing medication appropriateness over a 12-month period.
Article Abstract
Multimorbidity (MM) is a widespread problem and it poses unsolved issues like the healthcare professionals' training. A training curriculum has been proposed, but it has not been sufficiently explored in a clinical context. The eMULTIPAP course is part of the MULTIPAP complex intervention, applied through a pragmatic controlled, cluster randomized clinical trial to general practitioners (GP) and his/her patients with MM with 12 months follow-up. The eMULTIPAP course is based on problem-based learning, constructivism and Ariadne principles. It has been assessed according to the Kirkpatrick model and has shown knowledge improvement and high applicability of learning with more motivation to consider MM in the clinical practice. It has also improved the Medication Appropriateness Index at 6-months and at 12- months. We conclude that the eMULTIPAP course generates significant changes in GP's learning, enhancing clinical practice in multimorbidity scenarios.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.mad.2020.111354 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!