# Design and implementation of a microlearning-based OSCE preparatory curriculum in obstetrics: a pilot study

**Authors:** N. Michlmayr, J. Mitofsky, N. Haverkamp, A. Wittek, R. Plöger, A. Walter, B. Strizek, F. Recker

PMC · DOI: 10.1007/s00404-025-08157-6 · Archives of Gynecology and Obstetrics · 2025-08-25

## TL;DR

A microlearning app was developed to help medical students prepare for OSCE exams in obstetrics, showing promise as a feasible and user-friendly tool.

## Contribution

The novel contribution is the design and pilot implementation of a microlearning-based OSCE preparatory curriculum using the MiLeMed app.

## Key findings

- The microlearning app was found helpful for exam preparation and understanding clinical concepts.
- Participants highlighted the app's usability and inclusive design in their feedback.
- The study identified limitations such as small sample size and technological disparities.

## Abstract

Bedside teaching in obstetrics is increasingly challenged by clinical workload, leading to inconsistent OSCE preparation for medical students. To address this, we developed and implemented a microlearning-based preparatory curriculum using the MiLeMed app.

A microlearning-based OSCE preparatory curriculum was developed using Kern’s six-step model. Goals and objectives were defined via a Delphi process involving educators and students. A dedicated app with a 20-day study plan was created, piloted by 13 students, and evaluated using an online questionnaire.

The Delphi process supported the use of microlearning with integrated quizzes and visuals. Pilot participants reported the app as helpful for understanding and exam preparation, and emphasized its usability and inclusive design in open-text feedback.

The pilot study suggests that a microlearning app is a feasible and well-received tool for OSCE preparation. However, limitations such as small sample size, self-selection bias, and technological disparities must be considered. Future studies, including a planned randomized controlled trial, are needed to evaluate effectiveness and generalizability.

## Full-text entities

- **Diseases:** cognitive overload (MESH:D003072), fatigue (MESH:D005221)
- **Chemicals:** -EP (-)

## Full text

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## Figures

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## References

5 references — full list in the complete paper: https://tomesphere.com/paper/PMC12589283/full.md

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Source: https://tomesphere.com/paper/PMC12589283