Barriers to research findings utilization amongst critical care nurses and allied health professionals: An international survey.

OBJECTIVES: To determine the perceived barriers to the implementation of research findings in clinical practice among critical care nurses and allied health professionals. METHODS: A cross-sectional study was conducted using an online questionnaire sent to critical care nurses and allied health professionals in French-speaking countries. The primary objective was the identification and grading of perceived barriers to implementation of research findings into clinical practice, using a previously validated tool (French version of the BARRIERS scale). The scale is divided into 4 dimensions, each containing 6 to 7 questions to be answered using a 4-point Likert scale (1: no barrier, 4: great barrier). Descriptive statistics were performed and weighted score per dimensions were compared. Univariate and multivariate linear regressions were performed to identify factors associated with the total score by dimension. RESULTS: A total of 994 nurses and allied health professionals (85.1 % of ICU nurses) from 5 countries (71.8 % from France) responded to the survey. Main reported barriers to research findings utilization were "Statistical analyses are not understandable" (54.5 %), "Research articles are not readily available" (54.3 %), and "Implications for practice are not made clear" (54.2 %). Weighted scores differed between dimensions, with the "communication" and "organization" dimensions being the greatest barriers (median [IQR]: 2.3 [1.8-2.7] and 2.0 [1.6-2.4], while the "adopter" and "innovation" dimensions having lower scores (1.5 [1.2-1.8] and 1.5 [1.0-1.8] (all pairwise comparisons p-value < 0.0001, except for the adopter vs. innovation comparison, p > 0.05). CONCLUSIONS: Accessibility and understanding of research results seem to be the main barriers to research utilization in practice by respondents. A large number of the reported barriers could be overcome through education and organizational change. IMPLICATIONS FOR PRACTICE: Promoting a research culture among nurses and allied health professionals is an issue that needs investment. This should include training in critical reading of scientific articles and statistics.

Calibration trial of an innovative medical device (NEVVA© ) for the evaluation of pain in non-communicating patients in the intensive care unit.

Background: Pain management is an essential and complex issue for non-communicative patients undergoing sedation in the intensive care unit (ICU). The Behavioral Pain Scale (BPS), although not perfect for assessing behavioral pain, is the gold standard based partly on clinical facial expression. NEVVA© , an automatic pain assessment tool based on facial expressions in critically ill patients, is a much-needed innovative medical device. Methods: In this prospective pilot study, we recorded the facial expressions of critically ill patients in the medical ICU of Caen University Hospital using the iPhone and Smart Motion Tracking System (SMTS) software with the Facial Action Coding System (FACS) to measure human facial expressions metrically during sedation weaning. Analyses were recorded continuously, and BPS scores were collected hourly over two 8 h periods per day for 3 consecutive days. For this first stage, calibration of the innovative NEVVA© medical device algorithm was obtained by comparison with the reference pain scale (BPS). Results: Thirty participants were enrolled between March and July 2022. To assess the acute severity of illness, the Sequential Organ Failure Assessment (SOFA) and the Simplified Acute Physiology Score (SAPS II) were recorded on ICU admission and were 9 and 47, respectively. All participants had deep sedation, assessed by a Richmond Agitation and Sedation scale (RASS) score of less than or equal to -4 at the time of inclusion. One thousand and six BPS recordings were obtained, and 130 recordings were retained for final calibration: 108 BPS recordings corresponding to the absence of pain and 22 BPS recordings corresponding to the presence of pain. Due to the small size of the dataset, a leave-one-subject-out cross-validation (LOSO-CV) strategy was performed, and the training results obtained the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.792. This model has a sensitivity of 81.8% and a specificity of 72.2%. Conclusion: This pilot study calibrated the NEVVA© medical device and showed the feasibility of continuous facial expression analysis for pain monitoring in ICU patients. The next step will be to correlate this device with the BPS scale.