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The Process Model of Stigmatized Loss: Identity-Threatened Experiences of Bereaved Mothers
Journal article   Peer reviewed

The Process Model of Stigmatized Loss: Identity-Threatened Experiences of Bereaved Mothers

QUALITATIVE HEALTH RESEARCH, v 33(14), p1262
Dec 2023
PMID: 37848195
url
https://doi.org/10.1177/10497323231203643View
Published, Version of Record (VoR) Open

Abstract

Despite almost one-third of women suffering from the loss of a baby through miscarriage, stillbirth, or infant loss, it is surprising how little research examines how such loss affects the identity and stigmas experienced by these individuals. Through in-depth, semi-structured interviews with bereaved mothers (in particular, mothers who lost a baby during pregnancy or within one year after birth), this research sheds light on the bereaved mother's experiences after loss. Specifically, this research applies the identity-threat model of stigma to showcase the process of stigmatized loss. Based on our findings, we also introduce the process model of stigmatized loss that can apply to all types of stigmatized loss. Key themes emerged as we explored stigmatized loss discourses. These include situational cues that trigger stigma, identity-based responses that aim to preserve both a baby's and mother's identity, as well as nonvolitional and volitional responses that help restore control and reconstruct identity. Additionally, other themes revolve around positive and negative outcomes stemming from avoiding stigmatized identity activation and identification of triggers that initiate a recursive process through stigmatized baby loss. Importantly, stigma can be perceived as both an identity threat (negative) and an identity confirmation (positive). Findings inform theory and practice alike.

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3 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#5 Gender Equality
#3 Good Health and Well-Being

Source: SDGs in the Output

InCites Highlights

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Collaboration types
Domestic collaboration
Web of Science research areas
Information Science & Library Science
Public, Environmental & Occupational Health
Social Sciences, Biomedical
Social Sciences, Interdisciplinary
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