Research into adverse events in home care is at a very early stage worldwide. Adverse event research in other health care sectors has demonstrated that patients can and do suffer harm, much of which is preventable, during the receipt of health care services. A stratified, random sample of patients who had received home care nursing service and were discharged in 2004/05 from three Ontario home care programs was studied to develop basic exploratory and descriptive evidence to advance the understanding of AEs in home care. The outcome is an estimate of the incidence of adverse events among patients, description of adverse event types and factors associated with adverse events, and the development of models predictive of home care patients with higher and lower potential for adverse events, and of the location of patients with adverse events.
Positive critical indicators were identified in 66.5% of 430 cases. Sixty-one adverse events were identified in 55 (19.2%) of these 286 cases. When adjusted for sampling methodology, the adverse event rate was 13.2 per 100 patients (95%, CI 10.4% - 16.6%, SE 1.6%). Thirty-three percent of the adverse events were rated as having more than a 50% probability of preventability; 1.4% of all patients experienced an adverse event related death. Eight of the 45 factors significantly associated with adverse events formed a single factor model predictive of adverse events. Six two-factor interactions and the absence of one factor were also predictive of the occurrence of adverse events. Five of the 12 critical indicators significantly related to adverse events, as well as 7 critical indicator combinations formed models that reliably located about two-thirds of patients who had, and almost all patients who had not, experienced an adverse event.
This study suggests that a significant number of home care patients experience adverse events, two-thirds of which are preventable. Use of adverse event sensitive factors as a screening tool for patients that may benefit from enhanced case management and clinical vigilance, and those unlikely to be placed at increased adverse event risk by maintaining current levels of vigilance, presents an opportunity to improve patient safety. Retrospective critical indicator models identifying home care patients who have experienced an adverse event can be used to estimate adverse event incidence rates and changes in rates over time.
Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/11258 |
Date | 01 August 2008 |
Creators | Sears, Nancy A. |
Contributors | Baker, G. Ross |
Source Sets | University of Toronto |
Language | en_ca |
Detected Language | English |
Type | Thesis |
Format | 1870133 bytes, application/pdf |
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