Ambiguous loss_abstracts_2019-2023

The study encompassed abstracts of articles aligned with ambiguous loss published between 2019-2023, retrieved from PsycInfo, Web of Science (WoS), and Scopus. To eliminate the bias in the literature review, the study extracted published articles, dissertations, book chapters, and preprints with titles containing the search term “ambiguous loss”.Two reviewers (the first and the third authors worked independently) examined titles and abstracts and identified papers highlighting physical (n=34) or psychological (n=23) types of ambiguous loss. The study applies the conceptual and relational content analysis of Leximancer (version 4.5) to develop three cluster maps and lists of concepts separately for physical and psychological types and all selected papers published between 2019-2023. The results show that the physical type primarily encompasses situations related to foster adoption, potentially leading to the ambiguous loss experienced by both biological parents and children when facing forced separation. Psychological types include parents of children with disabilities, sudden infant and shaken baby syndromes, and caregivers of individuals with brain injuries and cancer. The present study indicates that the conceptual boundaries between physical and psychological types of ambiguous loss are not only expanding but also erasing, giving way to new applications in settings such as the COVID-19 pandemic, organ donor families, and sexual and gender minority.

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Identifier
DOI https://doi.org/10.17632/dscy8m4g37.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-d7-bgyq
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:341953
Provenance
Creator Zasiekina, L
Publisher Data Archiving and Networked Services (DANS)
Contributor Larysa Zasiekina
Publication Year 2024
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other