Adverse drug reactions (ADRs) are the most clinically significant and costly medication-related problems in nursing homes (NH), and are associated with an estimated 93,000 deaths a year and as much as $4 billion of excess healthcare expenditures. Current ADR detection and management strategies that rely on pharmacist retrospective chart reviews (i.e., usual care) are inadequate. Active medication monitoring systems, such as clinical event monitors, are recommended by many safety organizations as an alternative to detect and manage ADRs. These systems have been shown to be less expensive, faster, and identify ADRs not normally detected by clinicians in the hospital setting. The main research goal of this dissertation is to review the rationale for the development and subsequent evaluation of an active medication monitoring system to automate the detection of ADRs in the NH setting. This dissertation includes three parts and each part has its own emphasis and methodology centered on the main topic of better understanding of how to detect ADRs in the NH setting.
The first paper describes a systematic review of pharmacy and laboratory signals used by clinical event monitors to detect ADRs in hospitalized adult patients. The second paper describes the development of a consensus list of agreed upon laboratory, pharmacy, and Minimum Data Set signals that can be used by a clinical event monitor to detect potential ADRs. The third paper describes the implementation and pharmacist evaluation of a clinical event monitor using the signals developed by consensus.
The findings in the papers described will help us to better understand, design, and evaluate active medication monitoring systems to automate the detection of ADRs in the NH setting. Future research is needed to determine if NH patients managed by physicians who receive active medication monitoring alerts have more ADRs detected, have a faster ADR management response time, and result in more cost-savings from a societal perspective, compared to usual care.
| Identifer | oai:union.ndltd.org:PITT/oai:PITTETD:etd-09292009-123835 |
| Date | 18 May 2010 |
| Creators | Handler, Steven Mark |
| Contributors | Shyam Visweswaran, Nicholas Castle, Wendy Chapman, Michael Becich, Joseph Hanlon |
| 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-09292009-123835/ |
| 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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