Wake Forest University Health Sciences
The purpose of this study is to explore whether an implementation process composed of offering CR to staff in a single hospital nursing unit has any potential impact on unit-level quality measures post-implementation.
This is a pre-post design quality improvement project and implementation study, evaluating implementation measures, group level quality measures using QI methodology, and individual-level behavioral and performance measures before and after implementation of the Cereset Research (CR) evidence-based intervention among nursing unit staff. Individual-level behavioral symptoms and a nursing performance metric will be evaluated among healthcare workers in the nursing unit in the pre- and post-implementation timeframes among individuals who consent to participate in these evaluation activities. Up t…
Inclusion Criteria: * Ability to comply with basic instructions and be able to sit still, comfortably during sessions. * Healthcare worker in the Orthopedic Trauma Unit at Atrium Health Wake Forest Baptist, aged 18 years and older. Exclusion Criteria: * Unable, unwilling, or incompetent to provide informed consent. * Physically unable to come to the study visits. * Severe hearing impairment (because CR involves acoustic stimulation that participants would need to be able to hear). * Weight is over the chair limit (400 pounds). * Currently enrolled in another Cereset Research study. * Use of…
The upgraded platform for medical research using the HIRREM technology has been rebranded as Cereset Research® (CR). This system uses the same core technology and algorithms to echo brainwaves in real-time using audible tones, as with High-resolution, relational, resonance-based, electroencephalic mirroring (HIRREM). The CR system also includes 64-bit processing architecture for faster feedback, the use of 4 sensors, and the use of standard protocols (with flexibility regarding the length and sequencing of the standard protocols), all done with eyes closed. Four sensors are applied to the scalp at a time. However, only two sensors are actively echoing feedback. The software automatically switches from one sensor pair to the other when needed. This reduces the number of sensor placement changes needed, resulting in shorter session time and fewer interruptions.
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