Creator/Principal investigator(s)
Erik Prytz
- Linköping University
Description
Language
English
Research principal
Responsible department/unit
Department of Computer and Information Science
Contributor(s)
Mattias Lantz Cronqvist - Linköping University, Department of Computer and Information Science
Rachel Phillips - Old Dominion University, Department of Psychology
Marc Friberg - Linköping University, Center for Disaster Medicine and Traumatology
Carl-Oscar Jonson - Linköping University, Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences
Data contains personal data
No
Unit of analysis
Population
Medical laypeople (undergraduate students at an american university)
Study design
Experimental study
Sampling procedure
The participants were students at a large south-eastern university in the USA. Participants with prior medical training or stop the bleed education were excluded. Thus, all participants were medical laypeople without prior experience.
The variables varied in the videos were victim sex (male or female), blood volume (ml of blood on the floor), and rate of blood flow (in ml per minute). Further, two video sets were created, one with a top-view (camera placed above the victim) or front view (camera placed facing the victim from the front). In each video, the victim was dressed in blue, hydrophobic scrubs and were seated against a white wall. The simulated wound was not visible. The actors were positioned such that the blood flowed down their thigh and pooled between their legs. The same male and female patient actor were used for all videos. The flow rates used were 80, 200, and 400 ml/minute. The blood volumes used were 0, 50, 100, 150, 200, 300, 400, 500, 700, 900, 1100, and 1900 ml. The combination of three flow rates, 13 blood volumes, and two genders meant that there was 78 videos in total.
For the current dataset, the data has been collapsed across flow rate, and the volume 0 has been excluded, meaning that there are 24 combinations (2 genders x 12 volumes). The dataset includes the response time for the initial classification, the classification response, the volume estimate, and the volume error (calculated as the difference between the true amount and the estimated amount of blood loss).
Time period(s) investigated
2019-08-01 – 2019-12-31
Associated documentation
Description
The data set consists of four variables: volume estimate, volume error, response time, and classification.
Each variable has a separate sheet in the excel document.
The data is from 125 individuals, each listed on a separate row with a unique ID for each individual.
Each sheet includes the participant ID (anonymous number), age in years, participant sex (0 = male, 1 = female), perspective of the video clip (0 = top view, 1 = front view), and then one column for each victim gender and loss volu
Version 1
https://doi.org/10.5878/jm2q-xq68
Citation
Download citation
Data format / data structure
Numeric
Creator/Principal investigator(s)
Erik Prytz
- Linköping University
Keywords
Variables
100
Number of individuals/objects
125