Performance and optimisation of a trigger tool for the detection of adverse events in hospitalised adult patients.

[Performance and optimisation of a trigger tool for the detection of adverse events in hospitalised adult patients]. Gac Sanit. 2017 May 22;: Authors: Guzmán Ruiz Ó, Pérez Lázaro JJ, Ruiz López P Abstract OBJECTIVE: To characterise the performance of the triggers used in the detection of adverse events (AE) of hospitalised adult patients and to define a simplified panel of triggers to facilitate the detection of AE. METHOD: Cross-sectional study of charts of patients from a service of internal medicine to detect EA through systematic review of the charts and identification of triggers (clinical event often related to AE), determining if there was AE as the context in which it appeared the trigger. Once the EA was detected, we proceeded to the characterization of the triggers that detected it. Logistic regression was applied to select the triggers with greater AE detection capability. RESULTS: A total of 291 charts were reviewed, with a total of 562 triggers in 103 patients, of which 163 were involved in detecting an AE. The triggers that detected the most AE were "A.1. Pressure ulcer" (9.82%), "B.5. Laxative or enema" (8.59%), "A.8. Agitation" (8.59%), "A.9. Over-sedation" (7.98%), "A.7. Haemorrhage" (6.75%) and "B.4. Antipsychotic" (6.75%). A simplified model was obtained using logistic regression, and included the variable "Number of drugs" a...
Source: Gaceta Sanitaria - Category: International Medicine & Public Health Tags: Gac Sanit Source Type: research

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