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Using video-reflexive ethnography and simulation-based education to explore patient management and error recognition by pre-registration physiotherapists

Overview of attention for article published in Advances in Simulation, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 115)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

twitter
34 tweeters

Citations

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11 Dimensions

Readers on

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51 Mendeley
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Title
Using video-reflexive ethnography and simulation-based education to explore patient management and error recognition by pre-registration physiotherapists
Published in
Advances in Simulation, March 2016
DOI 10.1186/s41077-016-0010-5
Pubmed ID
Authors

Suzanne Gough, Abebaw Mengistu Yohannes, Janice Murray

Abstract

Upon graduation, physiotherapists are required to manage clinical caseloads involving deteriorating patients with complex conditions. In particular, emergency on-call physiotherapists are required to provide respiratory/cardio-respiratory/cardiothoracic physiotherapy, out of normal working hours, without senior physiotherapist support. To optimise patient safety, physiotherapists are required to function within complex clinical environments, drawing on their knowledge and skills (technical and non-technical), maintaining situational awareness and filtering unwanted stimuli from the environment. Prior to this study, the extent to which final-year physiotherapy students were able to manage an acutely deteriorating patient in a simulation context and recognise errors in their own practice was unknown. A focused video-reflexive ethnography study was undertaken to explore behaviours, error recognition abilities and personal experiences of 21 final-year (pre-registration) physiotherapy students from one higher education institution. Social constructivism and complexity theoretical perspectives informed the methodological design of the study. Video and thematic analysis of 12 simulation scenarios and video-reflexive interviews were undertaken. Participants worked within the professional standards of physiotherapy practice expected of entry-level physiotherapists. Students reflected appropriate responses to their own and others' actions in the midst of uncertainty of the situation and physiological disturbances that unfolded during the scenario. However, they demonstrated a limited independent ability to recognise errors. Latent errors, active failures, error-producing factors and a series of effective defences to mitigate errors were identified through video analysis. Perceived influential factors affecting student performance within the scenario were attributed to aspects of academic and placement learning and the completion of a voluntary acute illness management course. The perceived value of the simulation scenario was enhanced by the opportunity to review their own simulation video with realism afforded by the scenario design. This study presents a unique insight into the experiences, skills, attitudes, behaviours and error recognition abilities of pre-registration physiotherapy students managing an acutely deteriorating patient in a simulation context. Findings of this research provide valuable insights to inform future research regarding physiotherapy practice, integration of educational methods to augment patient safety awareness and participant-led innovations in safe healthcare practice.

Twitter Demographics

The data shown below were collected from the profiles of 34 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 6 12%
Student > Doctoral Student 6 12%
Student > Master 6 12%
Other 5 10%
Other 15 29%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Nursing and Health Professions 8 16%
Unspecified 5 10%
Social Sciences 4 8%
Psychology 3 6%
Other 8 16%
Unknown 11 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2019.
All research outputs
#778,851
of 15,124,215 outputs
Outputs from Advances in Simulation
#29
of 115 outputs
Outputs of similar age
#20,393
of 266,304 outputs
Outputs of similar age from Advances in Simulation
#1
of 1 outputs
Altmetric has tracked 15,124,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 115 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,304 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them