Action competence in obstetric emergencies—can this be achieved via e-learning? Interprofessional blended learning module on diagnostics and emergency treatment of shoulder dystocia

Publication type:
Journal article
Metadata:
Abstract
<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Due to the rarity of shoulder dystocia, an obstetric emergency, it is difficult even for experts to develop the appropriate routine in this emergency. Regular further training is therefore recommended for obstetricians and midwives. Evidence is lacking on the extent to which e-learning as a teaching method can be successfully used to acquire these skills and put them into practice. The purpose of this study is to demonstrate how the learning objectives for shoulder dystocia, listed in the National Competence Based Learning Objectives Catalog for Medicine (NKLM, Germany) can be successfully taught in medical studies using a blended learning concept (e-learning and practical application on a birth simulator).</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>After completing an e-learning course, final year medical students and midwife trainees demonstrated their action competence for shoulder dystocia procedure on a birth simulator. This transfer of the theoretical knowledge to the case study was assessed using an evaluation form oriented to the recommendations for action.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>One hundred sixty medical students and 14 midwifery trainees participated in the study from April to July 2019. Overall, 95.9% of the study participants met the required standards, i.e. achieved very good to adequate performance (Ø good) in simulation training.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>E-learning with annotated high-quality learning videos is an excellent way to transfer theoretical knowledge about shoulder dystocia procedures into medical practice on a birth simulator. The learning objectives required by the NKLM for shoulder dystocia can be successfully conveyed to students via the applied blended learning concept.</jats:p> </jats:sec>
Autoren
  • Verena Stieglitz
  • Holger Buggenhagen
  • Kai-Uwe Strelow
  • Irene Schmidtmann
  • Christine Skala
  • Sandra Kurz
DOI
10.1186/s12909-023-04335-9
eISSN
1472-6920
Ausgabe der Veröffentlichung
1
Zeitschrift
BMC Medical Education
Sprache
en
Artikelnummer
350
Online publication date
2023
Status
Published online
Herausgeber
Springer Science and Business Media LLC
Herausgeber URL
http://dx.doi.org/10.1186/s12909-023-04335-9
Datum der Datenerfassung
2023
Titel
Action competence in obstetric emergencies—can this be achieved via e-learning? Interprofessional blended learning module on diagnostics and emergency treatment of shoulder dystocia
Ausgabe der Zeitschrift
23

Data source: Crossref

Other metadata sources:
Author's licence
CC-BY
Autoren
  • Verena Stieglitz
  • Holger Buggenhagen
  • Kai-Uwe Strelow
  • Irene Schmidtmann
  • Christine Skala
  • Sandra Kurz
Hosting institution
Universitätsbibliothek Mainz
Sammlungen
  • DFG-491381577-G
Resource version
Published version
DOI
10.1186/s12909-023-04335-9
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft (DFG)|491381577|Open-Access-Publikationskosten 2022–2024 Universität Mainz - Universitätsmedizin
File(s) embargoed
false
Open access
true
ISSN
1472-6920
Zeitschrift
BMC medical education
Schlüsselwörter
  • 610 Medizin
  • 610 Medical sciences
Sprache
eng
Open access status
Open Access
Paginierung
350
Datum der Veröffentlichung
2023
Public URL
https://openscience.ub.uni-mainz.de/handle/20.500.12030/9983
Herausgeber
BioMed Central
Datum der Datenerfassung
2024
Datum, an dem der Datensatz öffentlich gemacht wurde
2024
Zugang
Public
Titel
Action competence in obstetric emergencies : can this be achieved via e-learning? : Interprofessional blended learning module on diagnostics and emergency treatment of shoulder dystocia
Ausgabe der Zeitschrift
23

Files

action_competence_in_obstetri-20240123155825117.pdf

Data source: OPENSCIENCE.UB

Tools