Abstract
Rural Hispanic communities in America face socioeconomic barriers that are costly in terms of morbidity and mortality. Explication of the community qualities that influence healthcare utilization of rural Hispanic populations is critical to overcoming these socioeconomic barriers. Yet, empirical support for community concepts and relational links to explain healthcare utilization in rural Hispanic communities have not been addressed in the nursing literature. This study sought to improve understanding of the inner workings and coping mechanisms within the community. The study was a secondary analysis of data sets obtained from a larger study entitled Comprehensive Multi-Level Practice Model for Rural Hispanics (CMLNP). The original study was conducted in four rural communities in the southwest region of the United States. The primary purpose of the current study was to explore and describe conceptual meanings of community, community health issues, and community health beliefs from interviews conducted in two rural, primarily Hispanic communities. Thematic content analysis explored the relationships between themes that emerged from interviews and lexical variables from computer analysis.
Sigma Membership
Beta Iota
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Grounded Theory
Research Approach
Mixed/Multi Method Research
Keywords:
Culturally Sensitive Nursing, Economics of Medicine, Coverage Gaps
Advisor
Joyce A. Verran
Degree
PhD
Degree Grantor
The University of Arizona
Degree Year
2003
Recommended Citation
McGinty, Debra J., "Determinants of health service utilization: A secondary analysis of the comprehensive multi-level nursing practice model for rural Hispanics" (2020). Dissertations. 1035.
https://www.sigmarepository.org/dissertations/1035
Rights Holder
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Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2020-06-19
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3089992; ProQuest document ID: 305338811. The author still retains copyright.