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Purpose: Opioids remain the mainstay of analgesia for critically ill patients, but its exposure is associated with negative effects including persistent use after discharge. Nonsteroidal anti-inflammatory drugs (NSAIDs) may be an effective alternative to opioids with fewer adverse effects. We aimed to describe beliefs and attitudes towards the use of NSAIDs in adult intensive care units (ICUs)., Methods: Our survey of Canadian ICU physicians was conducted using a web-based platform and distributed through the Canadian Critical Care Society (CCCS) email distribution list. We used previously described survey development methodology including question generation and reduction, pretesting, and clinical sensibility and pilot testing., Results: We received 115 completed surveys from 321 CCCS members (36%). Nonsteroidal anti-inflammatory drugs use was most described as "rarely" (59 respondents, 51%) with the primary concern being adverse events (acute kidney injury [108 respondents, 94%] and gastrointestinal bleeding [92 respondents, 80%]). The primary preferred analgesic was acetaminophen (75 respondents, 65%) followed by opioids (40 respondents, 35%). Most respondents (91 respondents, 80%) would be willing to participate in a randomized controlled trial examining NSAID use in critical care., Conclusions: In our survey, Canadian critical care physicians did not mention commonly using NSAIDs primarily because of concerns about adverse events. Nevertheless, respondents were interested in further studying ketorolac, a commonly used NSAID outside of the ICU, in critically ill patients., (© 2024. Canadian Anesthesiologists' Society.)

Background: Critical care research in Canada is conducted primarily in academically-affiliated intensive care units with established research infrastructure, including research coordinators (RCs). Recently, efforts have been made to engage community hospital ICUs in research albeit with barriers. Automation or artificial intelligence (AI) could aid the performance of routine research tasks. It is unclear which research study processes might be improved through AI automation., Methods: We conducted a cross-sectional survey of Canadian ICU research personnel. The survey contained items characterizing opinions regarding research processes that may be amenable to AI automation. We distributed the questionnaire via email distribution lists of 3 Canadian research societies. Open-ended questions were analyzed using a thematic content analysis approach., Results: A total of 49 survey responses were received (response rate: 8%). Tasks that respondents felt were time-consuming/tedious/tiresome included: screening for potentially eligible patients (74%), inputting data into case report forms (65%), and preparing internal tracking logs (53%). Tasks that respondents felt could be performed by AI automation included: screening for eligible patients (59%), inputting data into case report forms (55%), preparing internal tracking logs (51%), and randomizing patients into studies (45%). Open-ended questions identified enthusiasm for AI automation to improve information accuracy and efficiency while freeing up RCs to perform tasks that require human interaction. This enthusiasm was tempered by the need for proper AI education and oversight., Conclusions: There were balanced supportive (increased efficiency and re-allocation of tasks) and challenges (informational accuracy and oversight) with regards to AI automation in ICU research.