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Exploring the clinical decision making used by experienced cardiorespiratory physiotherapists: a mixed method qualitative design of simulation, video recording and think aloud techniques

Exploring the clinical decision making used by experienced cardiorespiratory physiotherapists: a mixed method qualitative design of simulation, video recording and think aloud techniques
Exploring the clinical decision making used by experienced cardiorespiratory physiotherapists: a mixed method qualitative design of simulation, video recording and think aloud techniques
Background: The ability of physiotherapists to make clinical decisions is a vital component of being an autonomous practitioner, yet this complex phenomenon has been under-researched in cardiorespiratory physiotherapy. The purpose of this study was to explore clinical decision-making (CDM) by experienced physiotherapists in a scenario of a simulated patient experiencing acute deterioration of their respiratory function.

Objectives: The main objective of this observational study was to identify the actions, thoughts, and behaviours used by experienced cardiorespiratory physiotherapists in their clinical decision-making processes.

Design: A multiple-methods (qualitative) design employing observation and think-aloud, was adopted using a computerised manikin in a simulated environment.

Setting: The participants clinically assessed the manikin programmed with the same clinical signs, under standardised conditions in the clinical skills practice suite, which was set up as a ward environment.

Participants: Experienced cardiorespiratory physiotherapists, recruited from clinical practice within a 50-mile radius of (*anon for review).

Methods: Participants were video-recorded throughout the assessment and treatment and asked to verbalise their thought processes using the ‘think-aloud’ method. The recordings were transcribed verbatim and managed using a Framework approach.

Results: Eight cardiorespiratory physiotherapists participated (mean 7 years clinical experience, range 3.5 -16 years). CDM was similar to the collaborative hypothetico-deductive model, five-rights nursing model, reasoning strategies, inductive reasoning and pattern recognition. However, the CDM demonstrated by the physiotherapists was complex, interactive and iterative. Information processing occurred continuously throughout the whole interaction with the patient, and the specific cognitive skills of recognition, matching, implying and predicting were identified as being used sequentially.

Conclusions: The findings from this study were used to develop a new conceptual model of clinical decision making for cardiorespiratory physiotherapy. This conceptual model can be used to inform future educational strategies to prepare physiotherapists and nurses for working in acute respiratory care.
0260-6917
1-20
Thackray, Deborah
4336a819-2b42-42bd-863b-2b074b977522
Roberts, Lisa
0a937943-5246-4877-bd6b-4dcd172b5cd0
Thackray, Deborah
4336a819-2b42-42bd-863b-2b074b977522
Roberts, Lisa
0a937943-5246-4877-bd6b-4dcd172b5cd0

Thackray, Deborah and Roberts, Lisa (2016) Exploring the clinical decision making used by experienced cardiorespiratory physiotherapists: a mixed method qualitative design of simulation, video recording and think aloud techniques. Nurse Education Today, 1-20. (In Press)

Record type: Article

Abstract

Background: The ability of physiotherapists to make clinical decisions is a vital component of being an autonomous practitioner, yet this complex phenomenon has been under-researched in cardiorespiratory physiotherapy. The purpose of this study was to explore clinical decision-making (CDM) by experienced physiotherapists in a scenario of a simulated patient experiencing acute deterioration of their respiratory function.

Objectives: The main objective of this observational study was to identify the actions, thoughts, and behaviours used by experienced cardiorespiratory physiotherapists in their clinical decision-making processes.

Design: A multiple-methods (qualitative) design employing observation and think-aloud, was adopted using a computerised manikin in a simulated environment.

Setting: The participants clinically assessed the manikin programmed with the same clinical signs, under standardised conditions in the clinical skills practice suite, which was set up as a ward environment.

Participants: Experienced cardiorespiratory physiotherapists, recruited from clinical practice within a 50-mile radius of (*anon for review).

Methods: Participants were video-recorded throughout the assessment and treatment and asked to verbalise their thought processes using the ‘think-aloud’ method. The recordings were transcribed verbatim and managed using a Framework approach.

Results: Eight cardiorespiratory physiotherapists participated (mean 7 years clinical experience, range 3.5 -16 years). CDM was similar to the collaborative hypothetico-deductive model, five-rights nursing model, reasoning strategies, inductive reasoning and pattern recognition. However, the CDM demonstrated by the physiotherapists was complex, interactive and iterative. Information processing occurred continuously throughout the whole interaction with the patient, and the specific cognitive skills of recognition, matching, implying and predicting were identified as being used sequentially.

Conclusions: The findings from this study were used to develop a new conceptual model of clinical decision making for cardiorespiratory physiotherapy. This conceptual model can be used to inform future educational strategies to prepare physiotherapists and nurses for working in acute respiratory care.

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Figure 1 Summary of the sequence of events .docx - Other
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Figure 2 New conceptual model of clinical decision making.docx - Other
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Accepted/In Press date: 7 November 2016
Organisations: Faculty of Health Sciences

Identifiers

Local EPrints ID: 402538
URI: http://eprints.soton.ac.uk/id/eprint/402538
ISSN: 0260-6917
PURE UUID: de6e92b1-c809-47c9-938d-0474a08a1b68
ORCID for Lisa Roberts: ORCID iD orcid.org/0000-0003-2662-6696

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Date deposited: 11 Nov 2016 12:08
Last modified: 16 Mar 2024 02:54

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