Using digital technology: Educating midwives about neurodiversity

Conference item


Edwards, E., Smith, M. and Bower, H. 2023. Using digital technology: Educating midwives about neurodiversity. 7th EMA Education Conference - Midwifery Education in the Future . Athens, Greece 26 - 29 Oct 2023 pp. 12 https://doi.org/10.18332/ejm/171948
TitleUsing digital technology: Educating midwives about neurodiversity
AuthorsEdwards, E., Smith, M. and Bower, H.
Abstract

- Background
The medical model of disability has long defined neurodevelopmental differences as disorders and deficits and reveals cultural prejudice, leading to oppression for those diagnosed. Instead, neurodiversity roots itself in the social model of disability, which asserts that neurodivergent people are disabled by barriers in society. Given that an estimated 1 in 7 of the population is neurodivergent, better understanding is needed to support the learning and working environments for neurodivergent people.
Ensuring that neurodivergent colleagues and students are appropriately supported in the workplace necessitates radical change in workplace mentalities. Therefore, institutions should include neurodiversity awareness training to improve inclusion. The Royal College of Midwives (RCM) has collaborated with a group of neurodivergent maternity practitioners to develop an innovative and interactive eLearning package for midwives, midwifery students and Maternity Support Workers.
- Development
A group of neurodivergent midwifery lecturers, midwives and students worked collaboratively with the Education Team at the RCM to develop an eLearning resource for midwives, midwifery students and MSWs. The eLearning module aimed to educate practitioners about working alongside neurodivergent colleagues and students to improve awareness and inclusion.
The resource was developed using a range of innovative and interactive tools including animation and simulation. This required expertise from the RCM’s eLearning technologist, as well as professional expertise and lived experience from neurodivergent practitioners and students. The resource will be showcased in the presentation.
- Implications for education
The resource has been made available to the 50000 members of the RCM and will be continuously evaluated by the eLearning team. The module will be used as the basis for further work to educate and raise awareness for those supporting and working alongside neurodivergent practitioners. This module will contribute to the inclusion and diversity agenda by ensuring that neurodivergent voices are heard. By raising awareness of the disabling barriers linked to unsuitable work environments, this module aims to improve understanding and implementations of reasonable adjustments for neurodivergent midwives, midwifery students and MSWs of the future.

Sustainable Development Goals4 Quality education
Middlesex University ThemeHealth & Wellbeing
Conference7th EMA Education Conference - Midwifery Education in the Future
Page range12
Proceedings TitleAbstract Book of the 7th EMA Education Conference - European Journal of Midwifery, Supplement 1/2023 vol. 7
SeriesEuropean Journal of Midwifery
ISSN
Electronic2585-2906
Publication dates
Print24 Oct 2023
Publication process dates
Accepted23 May 2023
Deposited02 Oct 2023
Output statusPublished
Copyright Statement

Edwards, E., Smith, M., Bower, H. (2023). Using digital technology: Educating midwives about neurodiversity. European Journal of Midwifery, 7(Supplement 1):A7. https://doi.org/10.18332/ejm/171948
Copyright: © 2023 Edwards et al.
License: This is an open access article distributed under the Creative Commons Attribution License (CC‑BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited and its authors credited.

Additional information

Oral Presentation- Using digital technology: Educating midwives about neurodiversity

Digital Object Identifier (DOI)https://doi.org/10.18332/ejm/171948
Related Output
Is part ofhttps://www.europeanjournalofmidwifery.eu/dl/i/pdf/520/7b25092873951ec834197f19d9c819d5/
LanguageEnglish
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