Literature DB >> 14601821

Using a head-mounted video camera to study clinical reasoning.

C A Unsworth1.   

Abstract

Studies of clinical reasoning are essential if we are to extend our knowledge of occupational therapy practice, better communicate our work to clients and colleagues, and reveal to our students the nuances of therapy that cannot be gained from texts. However, accessing therapists' clinical reasoning is not an easy task because these cognitive processes can be studied only indirectly. The aim of this article is to promote the study of clinical reasoning by reviewing a new approach to data collection in this field. To achieve this purpose, the article outlines current data collection methods, such as the think-aloud method written notes, free recall, and audio-assisted and video-assisted recall. A novel method involving a head-mounted video camera is described, and details are provided on a modified approach to debriefing using video-assisted recall. Anecdotes from the authors experience of using this technology illustrate the text.

Mesh:

Year:  2001        PMID: 14601821     DOI: 10.5014/ajot.55.5.582

Source DB:  PubMed          Journal:  Am J Occup Ther        ISSN: 0272-9490


  4 in total

1.  Use of head camera-cued recall and debrief to externalise expertise: a systematic review of literature from multiple fields of practice.

Authors:  Vivienne Isabella Blackhall; Kenneth Grant Walker; Iya Whiteley; Philip Wilson
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2018-10-16

2.  Occupational therapists' views on using a virtual reality interior design application within the pre-discharge home visit process.

Authors:  Anita Atwal; Arthur Money; Michele Harvey
Journal:  J Med Internet Res       Date:  2014-12-18       Impact factor: 5.428

3.  Professional reasoning of occupational therapy driver rehabilitation interventions.

Authors:  Angela Berndt; Claire Hutchinson; Dillon Tepper; Stacey George
Journal:  Aust Occup Ther J       Date:  2022-05-16       Impact factor: 1.757

4.  Using the Technology Acceptance Model to explore community dwelling older adults' perceptions of a 3D interior design application to facilitate pre-discharge home adaptations.

Authors:  Arthur G Money; Anita Atwal; Katherine L Young; Yasmin Day; Lesley Wilson; Kevin G Money
Journal:  BMC Med Inform Decis Mak       Date:  2015-08-26       Impact factor: 2.796

  4 in total

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