Using hybrid qualitative analysis to explore lived experience of motherhood and postnatal depression: A thematic-dialogical approach

Akhtar, Amirah; Sullivan, Paul; Alam, Yunis; Locke, Abigail

Abstract

This paper illustrates a novel hybrid approach to analysis which offers unique insights into the experience of postnatal depression in British Pakistani-Muslim women, through the prioritising of voice. To do so, we combine thematic and dialogical analysis, using data from a study on motherhood and postnatal depression. Participants were part of the birth cohort ‘Born in Bradford's Better Start’. The rationale for developing a hybridised approach is discussed. The ensuing analyses highlight the role of internal voices and chronotope, which give a detailed insight into women's meaning making of psychological distress and motherhood during the postnatal period. We go onto discuss the strength and limitations of hybridising thematic-dialogical analysis in the context of health research.

Citation

Akhtar, A., Sullivan, P., Alam, Y., & Locke, A. (2024). Using hybrid qualitative analysis to explore lived experience of motherhood and postnatal depression: A thematic-dialogical approach. Methods in Psychology, 11, Article 100161. https://doi.org/10.1016/j.metip.2024.100161

• Journal Article Type: Article
• Acceptance Date: Aug 10, 2024
• Online Publication Date: Aug 14, 2024
• Publication Date: 2024-12
• Deposit Date: Nov 12, 2024
• Publicly Available Date: Nov 12, 2024
• Journal: Methods in Psychology
• Print ISSN: 2590-2601
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Article Number: 100161
• DOI: https://doi.org/10.1016/j.metip.2024.100161
• Public URL: https://keele-repository.worktribe.com/output/975407
• Additional Information: This article is maintained by: Elsevier; Article Title: Using hybrid qualitative analysis to explore lived experience of motherhood and postnatal depression: A thematic-dialogical approach; Journal Title: Methods in Psychology; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.metip.2024.100161; Content Type: article; Copyright: © 2024 The Authors. Published by Elsevier Ltd.