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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
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1 to 2 of 2 Research Studies Displayed
Shuman CJ, Costa DK
Stepping in, stepping up, and stepping out: competencies for intensive care unit nursing leaders during disasters, emergencies, and outbreaks.
In this paper, the authors discuss competencies for intensive care unit nursing leaders during disasters, emergencies, and outbreaks. They draw on the recent example of COVID-19s substantially burdened intensive care units and nursing staff. Informed by extant literature, American Organization of Nurse Leaders--identified competencies, and expert opinion, the authors suggest 3 areas of focused skill development to ensure leaders, especially leaders in ICU settings, are prepared for future crises.
AHRQ-funded; HS024552.
Citation:
Shuman CJ, Costa DK .
Stepping in, stepping up, and stepping out: competencies for intensive care unit nursing leaders during disasters, emergencies, and outbreaks.
Am J Crit Care 2020 Sep 1;29(5):403-06. doi: 10.4037/ajcc2020421..
Keywords:
Critical Care, Provider: Nurse, Nursing, COVID-19, Emergency Preparedness
Rosen MA, Dietz AS, Lee N
Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion.
The purpose of this study was to establish the validity of sensor-based measures of work processes for predicting perceived mental and physical exertion of critical care nurses. Environmental sensors worn by staff in a surgical intensive care unit captured work process data. Nurses rated their mental and physical exertion for each four-hour block, and recorded patient and staffing-level workload factors. Analysis of this data yielded highly predictive models of critical care nursing workload to generate insights into workflow and work design. The researchers conclude that sensor-based measures are a viable complement to traditional task demand measures of workload.
AHRQ-funded; HS023553.
Citation:
Rosen MA, Dietz AS, Lee N .
Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion.
PLoS One 2018 Oct 12;13(10):e0204819. doi: 10.1371/journal.pone.0204819..
Keywords:
Critical Care, Nursing, Provider: Nurse, Patient Safety, Workflow
