Abstract
The purpose of this study is to identify remote hospitals and then assess their performance in the first three years of the Hospital Value Based Purchasing program. A definition for remote hospital was created using clinical outcome literature and travel time. The hospitals were then identified as those hospitals more than 60 minutes driving time from the next nearest hospital by using geographic information systems software (n = 127). The remote hospitals' payment adjustments and raw quality scores were be compared with non-remote hospitals. Remote hospitals have done well in the first three years improving their payments over time. However, little change is seen in the quality metrics used in the program. A review of economic theories relevant to hospital performance and behavior identified several hospital characteristics that may contribute to performance. None of the characteristics were predictive of success in the program.
Sigma Membership
Delta Omicron
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
Hospital Management, Hospital Economies, Nurse Management
Advisor
Marie Lobo
Degree
PhD
Degree Grantor
The University of New Mexico
Degree Year
2016
Recommended Citation
Adams, Nicole, "Remote hospitals and hospital value based purchasing" (2020). Dissertations. 848.
https://www.sigmarepository.org/dissertations/848
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
2020-09-04
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10126033; ProQuest document ID: 1808215599. The author still retains copyright.