• Login
    View Item 
    •   Research Bank Home
    • Unitec Institute of Technology
    • Study Areas
    • Osteopathy
    • Osteopathy Dissertations and Theses
    • View Item
    •   Research Bank Home
    • Unitec Institute of Technology
    • Study Areas
    • Osteopathy
    • Osteopathy Dissertations and Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Clinical reasoning in osteopathy : an investigation of diagnostic hypothesis generation for patients with acute low back pain

    Roots, Simon Ashley

    Thumbnail
    Share
    View fulltext online
    Simon Roots- Thesis 2014 Final_2015-02-23.pdf (1.407Mb)
    Date
    2014
    Citation:
    Roots, S. A. (2014) Clinical reasoning in osteopathy : an investigation of diagnostic hypothesis generation for patients with acute low back pain. An unpublished thesis submitted in partial fulfilment of the requirements for the degree of Master of Osteopathy, Unitec Institute of Technology.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2685
    Abstract
    BACKGROUND: The clinical reasoning strategies employed in healthcare have been well established in a wide range of health professions. Currently, there is little literature pertaining to the diagnostic process of osteopaths and the clinical reasoning strategies utilised in osteopathy. AIM:To investigate the processes of clinical reasoning utilised by osteopaths in the diagnostic hypothesis generation for patients with acute low back pain. METHODS: Two methods were employed: a thematic analysis in conjunction with content analysis which involved a novel ‘consultation mapping’ approach. Three osteopaths were video recorded taking a case history and performing examination procedures. Following conclusion of each consultation, participants viewed a video recording of the consultation, and provided a commentary which was audio recorded. All audio and video recordings were later transcribed for analysis. RESULTS: Three themes were identified from the data which broadly represented three existing clinical reasoning strategies: Implicit cognitive evaluations not apparent to an external observer (pattern recognition); Iterative processing of cues assembled through clinical interactions (hypothetico-deductive reasoning); Collaborative interaction between patient and practitioner (collaborative reasoning). Each consultation was then ‘mapped’, and content analysis showed dynamic transitioning between three levels of pattern recognition (‘light’, ‘moderate’, ‘heavy’) of hypothetico-deductive reasoning. Collaborative reasoning occurred consistently at the commencement and conclusion of each consultation. CONCLUSIONS:The clinical reasoning strategies employed by osteopaths in this study were pattern recognition, hypothetico-deductive reasoning and collaborative reasoning. Each strategy was characterised by a theme which described its meaning.
    Keywords:
    acute low back pain, clinical reasoning, diagnosis, osteopathic medicine, video analysis
    ANZSRC Field of Research:
    110499 Complementary and Alternative Medicine not elsewhere classified
    Degree:
    Master of Osteopathy, Unitec Institute of Technology
    Supervisors:
    Moran, Robert; Niven, Elizabeth
    Copyright Holder:
    Author

    Copyright Notice:
    All rights reserved
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
    Metadata
    Show detailed record
    This item appears in
    • Osteopathy Dissertations and Theses [208]

    Te Pūkenga

    Research Bank is part of Te Pūkenga - New Zealand Institute of Skills and Technology

    • About Te Pūkenga
    • Privacy Notice

    Copyright ©2022 Te Pūkenga

    Usage

    Downloads, last 12 months
    97
     
     

    Usage Statistics

    For this itemFor the Research Bank

    Share

    About

    About Research BankContact us

    Help for authors  

    How to add research

    Register for updates  

    LoginRegister

    Browse Research Bank  

    EverywhereInstitutionsStudy AreaAuthorDateSubjectTitleType of researchSupervisorCollaboratorThis CollectionStudy AreaAuthorDateSubjectTitleType of researchSupervisorCollaborator

    Te Pūkenga

    Research Bank is part of Te Pūkenga - New Zealand Institute of Skills and Technology

    • About Te Pūkenga
    • Privacy Notice

    Copyright ©2022 Te Pūkenga