Nursing diagnoses using Roy's Adaptation Model for persons with cancer receiving external beam radiation therapy

Persistent Link:
http://hdl.handle.net/10150/278123
Title:
Nursing diagnoses using Roy's Adaptation Model for persons with cancer receiving external beam radiation therapy
Author:
DeRuvo, Sharon Lynn Speidel, 1956-
Issue Date:
1992
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The purpose of this secondary analysis was to identify and describe the nursing diagnoses and associated defining characteristics for outpatient radiation therapy clients with either head and neck cancer (n = 15) or digestive organs cancer (n = 15). Based on patients' self-reported symptoms, a series of three panels clustered defining characteristics with adaptive modes, next formulated nursing diagnoses based on those characteristics, and lastly validated the compiled list of nursing diagnoses, defining characteristics, and adaptive modes. The findings of 28 nursing diagnoses generated for head and neck cancer and 25 diagnoses for digestive organs cancer indicated that radiation clients experience a gamut of patient care needs which require nursing management. Results of the comparison between the original study using Gordon's Functional Health Patterns and this one using Roy's Adaptation Model as the conceptual framework suggest that a universal set of nursing diagnoses exist for the cancer client experiencing external beam radiation therapy.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Health Sciences, Nursing.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Nursing
Degree Grantor:
University of Arizona
Advisor:
Woodtli, Anne

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleNursing diagnoses using Roy's Adaptation Model for persons with cancer receiving external beam radiation therapyen_US
dc.creatorDeRuvo, Sharon Lynn Speidel, 1956-en_US
dc.contributor.authorDeRuvo, Sharon Lynn Speidel, 1956-en_US
dc.date.issued1992en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe purpose of this secondary analysis was to identify and describe the nursing diagnoses and associated defining characteristics for outpatient radiation therapy clients with either head and neck cancer (n = 15) or digestive organs cancer (n = 15). Based on patients' self-reported symptoms, a series of three panels clustered defining characteristics with adaptive modes, next formulated nursing diagnoses based on those characteristics, and lastly validated the compiled list of nursing diagnoses, defining characteristics, and adaptive modes. The findings of 28 nursing diagnoses generated for head and neck cancer and 25 diagnoses for digestive organs cancer indicated that radiation clients experience a gamut of patient care needs which require nursing management. Results of the comparison between the original study using Gordon's Functional Health Patterns and this one using Roy's Adaptation Model as the conceptual framework suggest that a universal set of nursing diagnoses exist for the cancer client experiencing external beam radiation therapy.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectHealth Sciences, Nursing.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineNursingen
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorWoodtli, Anneen_US
dc.identifier.proquest1348490en_US
dc.identifier.bibrecord.b27584562en_US
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