Literature DB >> 33663282

Naming Silence and Inadequate Obstetric Care as Obstetric Violence is a Necessary Step for Change.

Cynthia L Salter1, Abisola Olaniyan1, Dara D Mendez1, Judy C Chang1.   

Abstract

This response article addresses the questions raised in "How Gentle Must Violence Against Women be in Order to not be Violent? Rethinking the Word 'Violence; in Obstetric Settings" and concludes that naming violence is critical for describing people's experiences of such violence and for addressing the structures and contexts that create and fuel such violence, not for judgment but for accountability and change. Impact, outcome, and, at times, processes-rather than intention-should underpin applications of the term violence; naming violence does not disempower women, but rather naming structural, systemic, and institutional violence demands acknowledgment, accountability, and responsibility for its effects on both patients and clinicians; and, finally, while the unintended consequences of using such a term may present challenges, they do not outweigh the importance of naming structural violence in health-related systems to identify practices and processes that discriminate, disempower, harm, and oppress.

Entities:  

Keywords:  intersectionality; maternity care; obstetric violence; reproductive justice; systems thinking; violence

Mesh:

Year:  2021        PMID: 33663282     DOI: 10.1177/1077801221996443

Source DB:  PubMed          Journal:  Violence Against Women        ISSN: 1077-8012


  3 in total

1.  Obstetric Violence as an Infringement on Basic Bioethical Principles. Reflections Inspired by Focus Groups with Midwives.

Authors:  Júlia Martín-Badia; Noemí Obregón-Gutiérrez; Josefina Goberna-Tricas
Journal:  Int J Environ Res Public Health       Date:  2021-11-29       Impact factor: 3.390

2.  Analysis of the Concept of Obstetric Violence: Scoping Review Protocol.

Authors:  Ana Cristina Ferrão; Margarida Sim-Sim; Vanda Sofia Almeida; Maria Otília Zangão
Journal:  J Pers Med       Date:  2022-06-30

3.  Risk Prediction Method of Obstetric Nursing Based on Data Mining.

Authors:  Deyan Jin
Journal:  Contrast Media Mol Imaging       Date:  2022-08-24       Impact factor: 3.009

  3 in total

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