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Searching for Meaningful Use of Health Information Technology: A Study of Cardiovascular Disease Care in Veterans General Hospitals

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Date Issued:
2011
Abstract/Description:
The cost of healthcare in the United States is on an upward trajectory towards an unsustainable level. In order to address this, Congress and the Obama Administration passed the American Recovery and Reinvestment Act (ARRA) of 2009 to begin the process of controlling these costs. Within the ARRA is the Health Information Technology for Economic and Clinical Health (HITECH) section which creates financial incentives to invest in Health Information Technology (HIT) and to develop a means to measure the Meaningful Use of specific functions of Electronic Health Records (EHRs). This research examines the widely used Joint Commission datasets to determine their suitability as a basis of meeting the government mandated measuring of Meaningful Use. The datasets used for this study consists of hospital level performance measures with a sample size of 370 hospital samples of HIT Use Intensity and Cardiovascular Performance attained from the Veterans Health Administration (VHA). An Organizational Network Theoretical approach was applied to the data in a non-experimental, sample-resample design to data collected in 2007. A Structural Equation Model (SEM) was built to test for the strength of the correlation between HIT Use Intensity and Cardiovascular Performance and a Latent Growth Curve Model (LGM) was built to examine the effect of the trajectory of HIT Use Intensity on the trajectory of Cardiovascular Performance. The SEM found a weak (.18) correlation between HIT Use Intensity and Cardiovascular Performance and the model only captured 12 percent of the variance. The LGM found no convergence between the trajectories of HIT Use Intensity and Cardiovascular Performance. This may have been the result of the data being non-normally distributed and heavily skewed to the high end of the scale. The policy implications of this study indicate that while Joint Commission data capture only a small amount of the variance attributed to HIT Use it does show a weak but positive correlation between increases in HIT Use Intensity and Increases in Cardiovascular Performance at the hospital level. Future research into adjustments to Joint Commission data measures (or others) may prove to be valuable in measuring the Meaningful Use of HIT systems in order to help hospitals make educated decisions on which HIT systems to purchase and the potential benefits associated with them.
Title: Searching for Meaningful Use of Health Information Technology: A Study of Cardiovascular Disease Care in Veterans General Hospitals.
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Name(s): Thaldorf, Carey, Author
Wan, Thomas, Committee Chair
Fottler, Myron, Committee Member
Liberman, Aaron, Committee Member
Campbell, Robert, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2011
Publisher: University of Central Florida
Language(s): English
Abstract/Description: The cost of healthcare in the United States is on an upward trajectory towards an unsustainable level. In order to address this, Congress and the Obama Administration passed the American Recovery and Reinvestment Act (ARRA) of 2009 to begin the process of controlling these costs. Within the ARRA is the Health Information Technology for Economic and Clinical Health (HITECH) section which creates financial incentives to invest in Health Information Technology (HIT) and to develop a means to measure the Meaningful Use of specific functions of Electronic Health Records (EHRs). This research examines the widely used Joint Commission datasets to determine their suitability as a basis of meeting the government mandated measuring of Meaningful Use. The datasets used for this study consists of hospital level performance measures with a sample size of 370 hospital samples of HIT Use Intensity and Cardiovascular Performance attained from the Veterans Health Administration (VHA). An Organizational Network Theoretical approach was applied to the data in a non-experimental, sample-resample design to data collected in 2007. A Structural Equation Model (SEM) was built to test for the strength of the correlation between HIT Use Intensity and Cardiovascular Performance and a Latent Growth Curve Model (LGM) was built to examine the effect of the trajectory of HIT Use Intensity on the trajectory of Cardiovascular Performance. The SEM found a weak (.18) correlation between HIT Use Intensity and Cardiovascular Performance and the model only captured 12 percent of the variance. The LGM found no convergence between the trajectories of HIT Use Intensity and Cardiovascular Performance. This may have been the result of the data being non-normally distributed and heavily skewed to the high end of the scale. The policy implications of this study indicate that while Joint Commission data capture only a small amount of the variance attributed to HIT Use it does show a weak but positive correlation between increases in HIT Use Intensity and Increases in Cardiovascular Performance at the hospital level. Future research into adjustments to Joint Commission data measures (or others) may prove to be valuable in measuring the Meaningful Use of HIT systems in order to help hospitals make educated decisions on which HIT systems to purchase and the potential benefits associated with them.
Identifier: CFE0004488 (IID), ucf:49319 (fedora)
Note(s): 2011-12-01
Ph.D.
Health and Public Affairs, Dean's Office COHPA
Doctoral
This record was generated from author submitted information.
Subject(s): Meaningful Use -- Health Information Technology -- Performance
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0004488
Restrictions on Access: campus 2013-06-15
Host Institution: UCF

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