Nursing homes are considered lagging behind in adopting health information technology (HIT). Many studies have highlighted the use of HIT as a means of improving health care quality. However, these studies overwhelmingly do not provide empirical information proving that HIT can actually achieve these improvements. The main research goal of this dissertation is to review the current development of HIT in nursing homes, to determine the nursing homes use of HIT features in MDS software, and to examine whether these uses result in better quality of care as measured by Nursing Home Compare (NHC) quality measures. This dissertation includes three parts and each part has its own emphasis and methodology centered on the main topic of the use of HIT in nursing homes.
The first paper reviews the background and definitions of HIT as well as the most important applications and several standards that are currently used or under development. The second paper examines the use of commercial Minimum Data Set (MDS) software in nursing homes and identifies the HIT features that are available in the most commonly used software package. The frequency of use of each HIT feature in MDS software is also reported. The third paper evaluated whether the use of such HIT features is associated with better quality of care as measured by NHC.
This dissertation reviews the HIT, summarizes a list of top 12 advanced HIT features in commercial MDS software used by the surveyed nursing homes. The study also evaluates the frequency of use of each feature. It concluded that although nursing homes were often viewed as technologically impaired, many of them had used quite advanced HIT in commercial MDS software.
The findings are helpful in prioritizing the importance of future HIT development in nursing homes. Understanding the highlighted issues and the evidence of HIT use for promoting quality of care in nursing homes is a top research and public health concern. Future research should extend the list of HIT features in the current commercial MDS software and interconnect such features with available EHR systems in the continuum of health care.
| Identifer | oai:union.ndltd.org:PITT/oai:PITTETD:etd-04062009-042428 |
| Date | 29 June 2009 |
| Creators | Liu, Darren |
| Contributors | Edmund M. Ricci, Steven M. Albert, Nicholas G. Castle, Ada O. Youk |
| Publisher | University of Pittsburgh |
| Source Sets | University of Pittsburgh |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.library.pitt.edu/ETD/available/etd-04062009-042428/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to University of Pittsburgh or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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