230
Views
0
CrossRef citations to date
0
Altmetric
Articles

Marginalization and heterosexism: A lens for understanding the lesbian stepfamily experience and informing nursing practice

&
Pages 899-915 | Received 16 May 2019, Accepted 30 Apr 2020, Published online: 15 May 2020
 

Abstract

Family composition is changing, as the rights of minority populations are acknowledged and legalized. The lesbian stepfamily is one such family. When people or systems outside the lesbian stepfamily question the family's existence, legitimacy is challenged. Using marginalization and its properties as a lens through which to view the experiences of the lesbian stepfamily we offer insight into how marginalization is operationalized and provide suggestions to address heterosexism in health care practice. Understanding the impact of marginalization on the health of vulnerable populations can assist health care providers to improve health outcomes, particularly in the area of mental wellness.

Note

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 The first author focused on the experiences of lesbians in the original research. The discussion of stigma and marginalization focuses on the experiences of people with same-gender attractions, therefore the inclusion of transgender, frequently included in the collective LGBT was not considered respectful of the significant differences in their experiences of stigma and marginalization.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 281.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.