Correlating Physiologic Measures of Stress: Exploring Dyads in Clinical Surgical Teams
| Autor: | Jack Sava, James G. Christian, Erin C. Hall, Allan Fong, Shimae Fitzgibbons, Weiguang Wang, Nicholas R. Wegener |
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| Rok vydání: | 2020 |
| Předmět: |
education
05 social sciences Applied psychology Cognition Medical Terminology 03 medical and health sciences 0302 clinical medicine Stress (linguistics) 0501 psychology and cognitive sciences Stress measures 050102 behavioral science & comparative psychology Psychology 030217 neurology & neurosurgery Medical Assisting and Transcription |
| Zdroj: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:702-706 |
| ISSN: | 1071-1813 2169-5067 |
| DOI: | 10.1177/1071181320641163 |
| Popis: | Clinical teams are subject to stress from various sources, including the technical and cognitive challenges of providing care in high stakes environments. Existing analytic approaches are limited in their ability to study the interdependence of team member stress. This study explores the correlation of a physiologic marker of stress, blood pulse wave, between members of a working surgical team. We propose an area overlap method as a means of evaluating blood pulse wave time-series correlation as a function of time. This is a stepwise approach to the collection and analysis of a large volume of continuous physiologic data from paired team members in a clinical setting. This method was applied to thirteen surgical team dyads with similar results to Pearson correlation. The area overlap method allows for improved exploration of temporal correlation within dyads but, in its current form, does not identify directionality of correlation. |
| Databáze: | OpenAIRE |
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