Abstract

This study described the unique relationships that develop while providing cancer care to AI populations and the underlying meaning that nurses ascribed to these experiences. Methods: This was an interpretive phenomenological study with multiple data collections and analysis. Nine cancer care nurses with a minimum of three years of experience working with AI patients participated by engaging in 2-3 exploratory, open-ended, reflective interviews over a period of nine months. Thematic reduction was completed to explicate the fundamental structures of this particular relationship. I then engaged in extensive reflective writing resulting in a linguistic transformation illuminating the essential meaning for nurses within this patientnurse phenomenon.

Description

This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10247955; ProQuest document ID: 1868418990. The author still retains copyright.

Author Details

Natalie M. Pool, PhD, RN, CNE

Sigma Membership

Zeta Omicron

Type

Dissertation

Format Type

Text-based Document

Study Design/Type

Phenomenology

Research Approach

Qualitative Research

Keywords:

Cancer, Patient-Nurse Relationships, American Indians

Advisor

Mary S. Koithan

Second Advisor

Anne G. Rosenfeld

Third Advisor

Michelle Kahn-John

Fourth Advisor

Leah S. Stauber

Degree

PhD

Degree Grantor

The University of Arizona

Degree Year

2016

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Proxy-submission

Date of Issue

2021-10-20

Full Text of Presentation

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