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Multilingual communication and the challenge posed across the perinatal journey: a qualitative study.

  • Published In: British Journal of Midwifery, 2026, v. 34, n. 2. P. 66 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Madell, Soumely 3 of 3

Abstract

Background/Aims: Multilingual communication when the midwife and service user do not speak the same language can be challenging in maternity care. This study aimed to explore midwives' and service users' experiences of this phenomenon. Methods: This qualitative study was based on constructivist grounded theory. In-depth interviews were held with 29 NHS midwives and 15 service users who were native speakers of either Arabic, Bengali, Lao, Polish, Thai or Turkish. Data were analysed using inductive coding. Results: A variety of practices were used to provide language support from basic physical gestures and using English as the host language to professional interpreting or using technology such as Google Translate. Communicative interactions revealed three interpersonal aspects: trust, kindness and rapport building. Conclusions: The healthcare system should equip midwives to provide personalised language support, enabling service users to have ownership over their communication. Implications for practice: Interdisciplinary training should be introduced between midwives and interpreting services or others who offer language support to deal with language-discordant situations. The healthcare system should be adapted to provide bespoke language support. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Midwifery. 2026/02, Vol. 34, Issue 2, p66
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2026
  • ISSN:0969-4900
  • DOI:10.12968/bjom.2025.0080
  • Accession Number:191175559
  • Copyright Statement:Copyright of British Journal of Midwifery is the property of Mark Allen Holdings Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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