Adverse events in intensive care units: a lexical analysis study

Abstract

Objective: Identify the most common adverse events in Intensive Care Units, through lexical analysis performed in the IRAMUTEQ software. Methods: This is an integrative literature review study, in which a systematic script was extracted from selected articles to organize the following information: article code; title; author and year and main explanations. Afterwards, the textual corpus with the main conclusions of the articles was prepared, organized in a single text file for processing and analysis in the IRAMUTEC® software using similarity analysis, which finally generated the tree with the most frequent words in the corpus, enabling its interpretation regarding common adverse events in critically ill patients in the intensive care environment. Results: Previously, the most indicated adverse events in the corpus were identified by the lexicons probe, pressure injury, infection, medication, enabling the interpretation of the lexical relationship with its branches. Final considerations: The results of this study state that it is important to identify adverse events so that it is possible to establish protocols to avoid and/or minimize them, requiring the collaboration of the multidisciplinary team, in a special nursing team, so that patient care is free from harm, and encouraging a culture of patient safety.