Cardiopulmonary Resuscitation Performance: Video, Demographic and Evaluation Data, 2023

DOI

This project aimed to establish a video database of cardiopulmonary resuscitation performance that demonstrates a range of expertise. The original data set contains 54 examples of participants who range in expertise and experience with performing CPR. Each example was recorded from 6 angles with a checkerboard in view to allow for 3D reconstruction. Participants were asked to perform 4 sets of 30 chest compressions with a short pause in between to rest. The faces of each participant have been blurred to reduce the likelihood of identification. The CPR performances are accompanied by the demographics of the participant and the evaluation data. The evaluation data consists of evaluation by two expert raters who teach Basic Life Support at a UK university, and their agreed rating. Participants were able to elect for their data to be included in the available database or restricted to the research team only. Consent was given for video data and evaluation data separately. Thus, this data contains video data from 41 participants, and evaluation data from 42 participants. This dataset is intended to be used to further understanding of expertise in CPR and facilitate the development of technology that can track movement and evaluate healthcare professional skills.

Participants provided informed consent (see supplied Information Sheet, Consent form, and Debrief) Each person was recorded from 6 angles while performing 4 sets of 30 chest compressions on a manikin. Participants were recruited from the Department of Nursing and Midwifery and were either university staff or students. Demographics of the participants are provided. Two experts rated each set from each participant along an evaluative checklist (supplied). An overall rating for each participant was also provided. The raters initially rated alone and then resolved any discrepancies to provide an agreed rating. A more thorough description of methods has been supplied (Readme file). Participants evaluated their confidence in performing CPR (Very confident – very unconfident), and the frequency with which they practised CPR (Very frequently – very infrequently) along a 5-point Likert scale.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-857038
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=b40bc4eced1b53735f09973c44a9a4c3e1bb8aff1f4bb443b7ead20a6fe8b3b9
Provenance
Creator Constable, M, Northumbria University; Zhang, F, Durham University; Connor, T, Northumbria University; Monk, D, Northumbria University; Rajsic, J, Northumbria University; Ford, C, Northumbria University; Park, L, Northumbria University; Barker, S, Northumbria University; Platt, A, Northumbria Univeristy; Porteous, D, Northumbria University; Grierson, L, McMaster University; Shum, H, Durham University
Publisher UK Data Service
Publication Year 2024
Funding Reference NA
Rights MD Constable, Northumbria University. FX Zhang, Durham University. T Connor, Northumbria Univeristy. D Monk, Northumbria University. J Rajsic, Northumbria University. C Ford, Northumbria University. LJ Park, Northumbria University. S Barker, Northumbria Univeristy. A Platt, Northumbria University. D Porteous, Northumbria University. L Grierson, McMaster University. HPH Shum, Durham University; The Data Collection is available for download to users registered with the UK Data Service. All requests are subject to the permission of the data owner or his/her nominee. Please email the contact person for this data collection to request permission to access the data, explaining your reason for wanting access to the data, then contact our Access Helpdesk.
OpenAccess true
Representation
Resource Type Numeric; Video
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences
Spatial Coverage Northumbria University, Newcastle-upon-tyne; United Kingdom; United Kingdom; United Kingdom