Literature DB >> 11489015

Decision making for health care professionals: use of decision trees within the community mental health setting.

G Bonner1.   

Abstract

AIM OF THE PAPER: To examine the application of the decision tree approach to collaborative clinical decision-making in mental health care in the United Kingdom (UK).
BACKGROUND: While this approach to decision-making has been examined in the acute care setting, there is little published evidence of its use in clinical decision-making within the mental health setting. The complexities of dual diagnosis (schizophrenia and substance misuse in this case example) and the varied viewpoints of different professionals often hamper the decision-making process. This paper highlights how the approach was used successfully as a multiprofessional collaborative approach to decision-making in the context of British community mental health care.
DESIGN: A selective review of the relevant literature and a case study application of the decision tree framework.
CONCLUSIONS: The process of applying the decision tree framework to clinical decision-making in mental health practice can be time consuming and client inclusion within the process is not always appropriate. The approach offers a method of assigning numerical values to support complex multiprofessional decision-making as well as considering underpinning literature to inform the final decision. Use of the decision tree offers a common framework that can assist professionals to examine the options available to them in depth, while considering the complex variables that influence decision-making in collaborative mental health practice. Use of the decision tree warrants further consideration in mental health care in terms of practice and education.

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Mesh:

Year:  2001        PMID: 11489015     DOI: 10.1046/j.1365-2648.2001.01851.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  4 in total

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Journal:  J Med Syst       Date:  2002-10       Impact factor: 4.460

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3.  The process and utility of classification and regression tree methodology in nursing research.

Authors:  Lisa Kuhn; Karen Page; John Ward; Linda Worrall-Carter
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4.  Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.

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  4 in total

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