Introduction: In many hospitals across the country, electrocardiograms of multiple at-risk patients are monitored remotely by telemetry monitor watchers in a central location. However, there is limited evidence regarding best practices for designing these cardiac monitoring systems to ensure prompt detection and response to life-threatening events. To identify factors that may affect monitoring efficiency, we simulated critical arrhythmias in inpatient units with different monitoring systems and compared their efficiency in communicating the arrhythmias to a first responder.
Methods: This was a multicenter cross-sectional in situ simulation study. Simulation participants were monitor watchers and first responders (usually nurses) in 2 inpatient units in each of 3 hospitals. Manipulated variables included: (1) number of communication nodes between monitor watchers and first responders; (2) central monitoring station location-on or off the patient care unit; (3) monitor watchers' workload; (4) nurses' workload; and (5) participants' experience.
Results: We performed 62 arrhythmia simulations to measure response times of monitor watchers and 128 arrhythmia simulations to measure response times in patient care units. We found that systems in which an intermediary between monitor watchers and nurses communicated critical events had faster response times to simulated arrhythmias than systems in which monitor watchers communicated directly with nurses. Responses were also faster in units colocated with central monitoring stations than in those located remotely. As the perceived workload of nurses increased, response latency also increased. Experience did not affect response times.
Conclusions: Although limited in our ability to isolate the effects of these factors from extraneous factors on central monitoring system efficiency, our study provides a roadmap for using in situ arrhythmia simulations to assess and improve monitoring performance.
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http://dx.doi.org/10.1097/SIH.0000000000000610 | DOI Listing |
Lancet Diabetes Endocrinol
January 2025
Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; Catholic University of the Sacred Heart, Rome, Italy; University Polyclinic Foundation Agostino Gemelli IRCCS, Rome, Italy.
Appl Physiol Nutr Metab
January 2025
The University of British Columbia, Faculty of Health and Social Development, Kelowna, British Columbia, Canada;
The objectives of the study were to: 1) Describe characteristics and lifestyle factors of individuals who have achieved type 2 diabetes (T2D) remission (sub-diabetes glucose levels without glucose-lowering medications for ≥3 months) through changes to diet and exercise behaviour in real-world settings; 2) Investigate continuous glucose monitoring (CGM) profiles of these individuals and explore how dietary pattern may influence glucose regulation metrics. This cross-sectional study recruited individuals living with T2D who achieved remission via changes to diet or exercise behaviours. Various questionnaires were used to assess overall health and participants wore a blinded CGM for 14 days to assess glucose profiles and filled out three-day food records.
View Article and Find Full Text PDFDrug Saf
January 2025
Altman Clinical and Translational Research Institute, University of California San Diego, #333 CRSF 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Introduction: A clinical trial of Epidiolex, the only US FDA-approved cannabis-derived consumer product (CDP), discovered an interaction with an immunosuppressant (tacrolimus) that led to drug toxicity, highlighting the unique intersection of prescription and commonly unregulated consumer products.
Objective: We aimed to identify if similar drug-drug interactions (DDIs) are occurring among the consumer CDP market, even though they cannot be identified through trials.
Methods: We searched Reddit for subreddits related to CDPs or health, resulting in 63,561,233 posts.
J Med Internet Res
May 2024
Division of Thyroid & Endocrine Surgery, Department of Surgery, National University Hospital, Singapore, Singapore.
Background: A plethora of weight management apps are available, but many individuals, especially those living with overweight and obesity, still struggle to achieve adequate weight loss. An emerging area in weight management is the support for one's self-regulation over momentary eating impulses.
Objective: This study aims to examine the feasibility and effectiveness of a novel artificial intelligence-assisted weight management app in improving eating behaviors in a Southeast Asian cohort.
Clin Diabetes
December 2023
College of Osteopathic Medicine, Touro University California, Vallejo, CA.
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