Despite concerted efforts to decrease costs and increase public health, the embattled U.S. health care system continues to struggle to alleviate these widespread issues. Because the problem of hospital utilizations among patients with heart failure is posited to increase as the population ages, innovative methodologies need to be explored to mitigate adverse events. Remote monitoring harnesses the strength of advanced information and communication technology to affect positive changes in health care quality and cost. By reaching across geographical boundaries, remote monitoring may support increased access to less costly services and improve the quality of home health care. The purpose of the study was to examine the home care quality effects of remote monitoring technology in patients with heart failure and to provide an economic justification for its adoption and diffusion. It compared remote monitoring as a potential intervention strategy to a standard no-intervention group (without remote monitoring). Specifically, it analyzed remote monitoring as a viable strategy to decrease hospital readmissions and emergency department visits. It also compared the cost of remote monitoring against the current standard-of-care. The theoretical framework of Donabedian's Quality Model was used in the evaluation of remote monitoring. A retrospective posttest only, case control study design was used to test the degree which remote monitoring was effective in promoting health care quality (hospital readmissions and decreased emergency department visits). Retrospective chart reviews were performed using electronic medical records (EMR). Analysis of Variance, Path Analysis, Automatic Interaction Detector Analysis (Dtreg), and Cost Outcomes Ratio were used to test the hypotheses and validate the proposed theoretical model. No significant difference was noted in remote monitoring and usual care groups. Results suggested that remote monitoring does not statistically lead to a decrease in heart failure-related hospital readmissions and all-cause emergency department visits. Results of the cost ratio analysis suggested that there was no statistically significant difference in the net income between usual care and remote monitoring; however, data suggest that there were significant increases in cost and intensity of nursing utilization for the remote monitoring intervention. The Automatic Interaction Detector Analysis showed that the unfavorable results in hospital readmissions were due to a decrease in collaborative care and patient education prior to the recommendation for hospitalization. The role of nursing care, whether in hospital or community-based care, in heart failure management is critical to quality outcomes. As the field continues to consider the use of technology in health care, decision makers should think through the process of patient care such that preventable hospital readmissions are decreased and patients received quality care.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-5560 |
| Date | 01 January 2014 |
| Creators | Williams, Cynthia |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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