DeltaScan for the Assessment of Acute Encephalopathy and Delirium in ICU and non-ICU Patients, a Prospective Cross-Sectional Multicenter Validation Study.

OBJECTIVES: To measure the diagnostic accuracy of DeltaScan: a portable real-time brain state monitor for identifying delirium, a manifestation of acute encephalopathy (AE) detectable by polymorphic delta activity (PDA) in single-channel electroencephalograms (EEGs). DESIGN: Prospective cross-sectional study. SETTING: Six Intensive Care Units (ICU's) and 17 non-ICU departments, including a psychiatric department across 10 Dutch hospitals. PARTICIPANTS: 494 patients, median age 75 (IQR:64-87), 53% male, 46% in ICUs, 29% delirious. MEASUREMENTS: DeltaScan recorded 4-minute EEGs, using an algorithm to select the first 96 seconds of artifact-free data for PDA detection. This algorithm was trained and calibrated on two independent datasets. METHODS: Initial validation of the algorithm for AE involved comparing its output with an expert EEG panel's visual inspection. The primary objective was to assess DeltaScan's accuracy in identifying delirium against a delirium expert panel's consensus. RESULTS: DeltaScan had a 99% success rate, rejecting 6 of the 494 EEG's due to artifacts. Performance showed and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.86 (95% CI: 0.83-0.90) for AE (sensitivity: 0.75, 95%CI=0.68-0.81, specificity: 0.87 95%CI=0.83-0.91. The AUC was 0.71 for delirium (95%CI=0.66-0.75, sensitivity: 0.61 95%CI=0.52-0.69, specificity: 72, 95%CI=0.67-0.77). Our validation aim was an NPV for delirium above 0.80 which proved to be 0.82 (95%CI: 0.77-0.86). Among 84 non-delirious psychiatric patients, DeltaScan differentiated delirium from other disorders with a 94% (95%CI: 87-98%) specificity. CONCLUSIONS: DeltaScan can diagnose AE at bedside and shows a clear relationship with clinical delirium. Further research is required to explore its role in predicting delirium-related outcomes.

Teaching geriatric medicine through gamification: a tool for enhancing postgraduate education in geriatric medicine.

BACKGROUND: Polypharmacy is becoming increasingly common and all doctors must be prepared to manage it competently. AIMS: The aim of this project is to evaluate the feasibility and use of a novel gamification-based teaching intervention on polypharmacy among doctors undergoing advanced geriatric training. Among others, one of the learning goals for the students was to be able to describe the adherence to medication. METHODS: Electronic questionnaire sent to students of the third session "evidence-based medicine in geriatrics" of advanced postgraduate course in geriatrics of the European Academy for Medicine of Ageing. RESULTS: Most students reported issues with forgetting doses and remembering sufficiently to establish a medication routine due to busy schedules as well as social influences around medication taking. Reflecting on the challenges of the game, most students reported that their own prescribing practice was likely to change. DISCUSSION AND CONCLUSION: The current model of learning appears to be a feasible approach for postgraduate medical education or in other areas of healthcare such as nursing or physiotherapy. Learning through action and reflection promotes deeper thinking and can lead to behavioral change, in this case thus enhancing the attitudes and understanding regarding pharmacological issues associated with ageing. Recommendations for future research in medical education about medication adherence are outlined.

General practitioners' attitudes towards decision-supported prescribing: an analysis of the Dutch primary care sector.

The use of multiple drugs by patients increases the risk of medical problems. Clinical decision support could assist general practitioners with prescribing but is underused. This article aims to investigate the attitudes of general practitioners towards using decision support systems. A survey was distributed among 500 Dutch general practitioners. Virtually all 184 respondents indicated having a clinical information system, while only 21 percent indicated having a decision support plug-in; this correlated with their use of medical formularies. Only use of one of the medical formularies correlated with the number of recognized underprescription problems. General practitioners' attitudes toward a newly proposed system aiding them with polypharmacy prescribing were mainly positive (57%); the perceived usefulness correlated with output quality (p = .000), time investment (p = .000), and financial stimuli (payability: p = .000 and reimbursement: p = .015) but not with job relevance. Dutch general practitioners are thus likely to adopt the proposed system under the conditions that it improves prescription quality and does not require extensive investments of time or money.