Abstract
American hospitals have made serious efforts to implement and expand their health information technology capabilities and to integrate different specialized care or high-tech services in order to maximize the efficiency and quality of care. In providing a variety of HIT-related services, these hospitals expanded their national reputation in line with integrated care goals. As a result, hospitals are encouraged to establish effective communication channels to facilitate patient-physician sharing of the patient care experience, to enhance effective pain management, and to transform patient-centered care modalities to solidify the adequacy of patient care processes. By analyzing national data sets publicly available, this investigation explored the relationship of acute-care hospitals' performance to the contextual, organizational and patient characteristics, using a cross-sectional study design. This study developed and evaluated the quality and efficiency of hospitals with respects to the structural complexity, process adequacy, efficiency, and quality of care. The structure-process-outcome theory in quality of care developed by Donabedian (1980), is adopted for this investigation. Statistical methods such as confirmatory factor analysis (CFA) and covariance structure model are employed. The population surveyed by the American Hospital Association (AHA) are acute care hospitals throughout the United States, including more than 3000 acute care hospitals of all types of ownership. The data provided by HIMSS Analytics and AHA are available for 2015 and the data provided CMS quality indicators are available for 2016. The key finding of this research is that process adequacy mediates the relationship between hospital structure and performance variables. The efficiency variable played an important role in shaping quality. The location and hospital teaching status have a moderate impact in determining hospital performance by affecting the structure and process of hospitals.
Notes
If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu
Graduation Date
2019
Semester
Spring
Advisor
Wan, Thomas
Degree
Doctor of Philosophy (Ph.D.)
College
College of Community Innovation and Education
Degree Program
Public Affairs; Health Services Management and Research
Format
application/pdf
Identifier
CFE0007888
URL
http://purl.fcla.edu/fcla/etd/CFE0007888
Language
English
Release Date
November 2019
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Fotovvat, Hoda, "Predictors of Hospital Quality and Efficiency" (2019). Electronic Theses and Dissertations. 6696.
https://stars.library.ucf.edu/etd/6696