The University of Southampton
University of Southampton Institutional Repository

Clinical diagnosis in nursing : an analysis of knowledge structures and decision making strategies

Clinical diagnosis in nursing : an analysis of knowledge structures and decision making strategies
Clinical diagnosis in nursing : an analysis of knowledge structures and decision making strategies
The verbal protocol technique forms the basis of this research on clinical diagnosis in nursing. In this technique, a nurse subject, by asking specific questions about a patient, obtains the information required to diagnose patient problems. The knowledge area for the study was the assessment of pressure sore risk. Two sample groups were chosen for comparison. An 'Expert' group was made up of ward sisters while a 'Novice' group consisted of third year student nurses. Each subject undertook 3 verbal protocols. These progressed from, firstly, having no special instructions or interruptions given to, finally, being highly structured as the researcher questioned in depth about the problem solving strategy being used. On average, the 'Experts' (E group) gave longer protocols than the 'Novices' (N Group), mainly due to the difference in the number of COLLECT (ie. Data collecting) operations. The experts often failed to make use of the extra data they had collected and also tended to make more inferences from outside the data. Problem Behaviour Graphs were built up from the results. These demonstrated that experts tend to use a model of simultaneous data gathering and interpretation of data whereas novice subjects collect all the necessary data first. Vocabulary analysis showed approximately 50% of the language devoted to technical terms in both groups. The data gleaned from the expert group protocols was incorporated into a small knowledge based system which was then tested. It correlated well with the estimated risk of pressure sores given by subjects in clinical areas and was well received by the nurses using it. Recommendations were put forward for a professional education which encourages the techniques of clinical nursing diagnosis shown by the expert group in this research and for the nursing profession to take control of the introduction of computer technology into clinical practice
University of Southampton
Jones, Jennifer Andree
f9ca3be9-b25d-481b-b6c4-4b4d19d3243f
Jones, Jennifer Andree
f9ca3be9-b25d-481b-b6c4-4b4d19d3243f
Colbourn, C.J.
030441cb-4770-41dd-819f-b7461c3adbbc

Jones, Jennifer Andree (1991) Clinical diagnosis in nursing : an analysis of knowledge structures and decision making strategies. University of Southampton, Doctoral Thesis, 277pp.

Record type: Thesis (Doctoral)

Abstract

The verbal protocol technique forms the basis of this research on clinical diagnosis in nursing. In this technique, a nurse subject, by asking specific questions about a patient, obtains the information required to diagnose patient problems. The knowledge area for the study was the assessment of pressure sore risk. Two sample groups were chosen for comparison. An 'Expert' group was made up of ward sisters while a 'Novice' group consisted of third year student nurses. Each subject undertook 3 verbal protocols. These progressed from, firstly, having no special instructions or interruptions given to, finally, being highly structured as the researcher questioned in depth about the problem solving strategy being used. On average, the 'Experts' (E group) gave longer protocols than the 'Novices' (N Group), mainly due to the difference in the number of COLLECT (ie. Data collecting) operations. The experts often failed to make use of the extra data they had collected and also tended to make more inferences from outside the data. Problem Behaviour Graphs were built up from the results. These demonstrated that experts tend to use a model of simultaneous data gathering and interpretation of data whereas novice subjects collect all the necessary data first. Vocabulary analysis showed approximately 50% of the language devoted to technical terms in both groups. The data gleaned from the expert group protocols was incorporated into a small knowledge based system which was then tested. It correlated well with the estimated risk of pressure sores given by subjects in clinical areas and was well received by the nurses using it. Recommendations were put forward for a professional education which encourages the techniques of clinical nursing diagnosis shown by the expert group in this research and for the nursing profession to take control of the introduction of computer technology into clinical practice

Text
Jones - Version of Record
Available under License University of Southampton Thesis Licence.
Download (10MB)
Text
350659.pdf - Version of Record
Available under License University of Southampton Thesis Licence.
Download (12MB)

More information

Published date: 1991

Identifiers

Local EPrints ID: 438068
URI: http://eprints.soton.ac.uk/id/eprint/438068
PURE UUID: f7824ecf-e25d-45ca-b0ce-7e63baf235fb

Catalogue record

Date deposited: 27 Feb 2020 17:31
Last modified: 17 Aug 2022 16:43

Export record

Contributors

Author: Jennifer Andree Jones
Thesis advisor: C.J. Colbourn

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×