Abstract
Efforts to understand the patterns of self-care strategies that are used by people living with HIV/AIDS are imperative in planning effective symptom management. Because the World Wide Web has been increasingly used as a tool for surveying patients' self-reported responses, discussing its use in health care research would help to integrate technology in research.
The purposes of this study are to categorize self-care strategies and self-care information resources, determine predictors of self-care strategies reported by people living with HIV/AIDS, and compare how web-based surveys and interview surveys may generate different results.
A descriptive, correlational design was used and secondary analysis was applied from a study with both web-based surveys and interview surveys (422 valid surveys).
Sigma Membership
Alpha Eta, Nu Psi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
Chronic Illness, Symptom Control, Using Internet for Research
Advisor
William L. Holzemer
Degree
PhD
Degree Grantor
University of California, San Francisco
Degree Year
2002
Recommended Citation
Chou, Fang-Yu, "Symptoms and self-care strategies in HIV/AIDS: Application of web-based survey" (2020). Dissertations. 1409.
https://www.sigmarepository.org/dissertations/1409
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
2020-02-04
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3051038; ProQuest document ID: 304803482. The author still retains copyright.