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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedRosen 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
Dunn Lopez K, Gephart SM, Raszewski R
Integrative review of clinical decision support for registered nurses in acute care settings.
To report on the state of the science of clinical decision support (CDS) for hospital bedside nurses, the researchers performed an integrative review of qualitative and quantitative peer-reviewed original research studies. They concluded that clinical support systems targeting bedside nurses have positive effects on outcomes and hold promise for improving care quality.
AHRQ-funded; HS022908.
Citation: Dunn Lopez K, Gephart SM, Raszewski R .
Integrative review of clinical decision support for registered nurses in acute care settings.
J Am Med Inform Assoc 2017 Mar 1;24(2):441-50. doi: 10.1093/jamia/ocw084.
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Keywords: Critical Care, Clinical Decision Support (CDS), Health Information Technology (HIT), Nursing, Patient Safety