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Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services
BACKGROUND/OBJECTIVES: Dietitians need to prioritise referrals in order to manage their work load. Novice dietitians may not receive training on prioritisation and could be helped with an evidence-based, effective decision-making training tool. To develop such a tool, it is necessary to understand h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672060/ https://www.ncbi.nlm.nih.gov/pubmed/28832575 http://dx.doi.org/10.1038/ejcn.2017.123 |
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author | Hickson, M Davies, M Gokalp, H Harries, P |
author_facet | Hickson, M Davies, M Gokalp, H Harries, P |
author_sort | Hickson, M |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: Dietitians need to prioritise referrals in order to manage their work load. Novice dietitians may not receive training on prioritisation and could be helped with an evidence-based, effective decision-making training tool. To develop such a tool, it is necessary to understand how experts make prioritisation decisions. This study aimed to model expert decision-making policy for prioritising dietetic referrals in adult acute-care services. METHODS/SUBJECTS: Social judgement theory was used to model expert decision-making policy. Informational cues and cue levels were identified. A set of case scenarios that replicated dietetic referrals in adult acute services were developed using fractional factorial design approach. Experienced dietitians were asked to make prioritisation decisions on case scenarios. A model was derived using multiple regression analysis to elicit the weighting given to cues and cue levels by the experts when making prioritisation decisions. RESULTS: Six cues and 21 cue levels were identified, and 60 unique case scenarios were created. Fifty experienced dietitians made decisions on these case scenarios. The 'reason for referral' and 'biochemistry picture' were the two most influential cues, and 'weight history' was the least significant. 'Nutritional status', 'presenting complaint' and 'previous food intake' had similar weightings. In all, 95.7% of the variability in the experts’ average judgement (adjusted R(2)=0.93) was predicted by the 6 cues. CONCLUSIONS: A model for referral prioritisation in adult acute services described experienced dietitians’ decision-making policy. This can be used to develop training materials that may increase the effectiveness and quality of prioritisation judgements. |
format | Online Article Text |
id | pubmed-5672060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56720602017-11-09 Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services Hickson, M Davies, M Gokalp, H Harries, P Eur J Clin Nutr Original Article BACKGROUND/OBJECTIVES: Dietitians need to prioritise referrals in order to manage their work load. Novice dietitians may not receive training on prioritisation and could be helped with an evidence-based, effective decision-making training tool. To develop such a tool, it is necessary to understand how experts make prioritisation decisions. This study aimed to model expert decision-making policy for prioritising dietetic referrals in adult acute-care services. METHODS/SUBJECTS: Social judgement theory was used to model expert decision-making policy. Informational cues and cue levels were identified. A set of case scenarios that replicated dietetic referrals in adult acute services were developed using fractional factorial design approach. Experienced dietitians were asked to make prioritisation decisions on case scenarios. A model was derived using multiple regression analysis to elicit the weighting given to cues and cue levels by the experts when making prioritisation decisions. RESULTS: Six cues and 21 cue levels were identified, and 60 unique case scenarios were created. Fifty experienced dietitians made decisions on these case scenarios. The 'reason for referral' and 'biochemistry picture' were the two most influential cues, and 'weight history' was the least significant. 'Nutritional status', 'presenting complaint' and 'previous food intake' had similar weightings. In all, 95.7% of the variability in the experts’ average judgement (adjusted R(2)=0.93) was predicted by the 6 cues. CONCLUSIONS: A model for referral prioritisation in adult acute services described experienced dietitians’ decision-making policy. This can be used to develop training materials that may increase the effectiveness and quality of prioritisation judgements. Nature Publishing Group 2017-11 2017-08-23 /pmc/articles/PMC5672060/ /pubmed/28832575 http://dx.doi.org/10.1038/ejcn.2017.123 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Hickson, M Davies, M Gokalp, H Harries, P Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
title | Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
title_full | Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
title_fullStr | Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
title_full_unstemmed | Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
title_short | Using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
title_sort | using judgement analysis to identify dietitians’ referral prioritisation for assessment in adult acute services |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672060/ https://www.ncbi.nlm.nih.gov/pubmed/28832575 http://dx.doi.org/10.1038/ejcn.2017.123 |
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