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  • Using the nominal group technique: how to analyse across multiple groups

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    Author
    McMillan, Sara
    Kelly, Fiona
    Sav, Adem
    Kendall, Elizabeth
    King, Michelle
    A. Whitty, Jennifer
    Wheeler, Amanda
    Year published
    2014
    Metadata
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    Abstract
    The nominal group technique (NGT) is a method to elicit healthcare priorities. Yet, there is variability on how to conduct the NGT, and limited guidance on how to analyse a diverse sample of multiple groups. This paper addresses some of this ambiguity, and explores whether different approaches to analysis provide the same outcome/s. Conceptual papers and empirical studies were identified via PubMed and informed an adapted version of the NGT. Twenty-six nominal groups were conducted, which provided in-depth knowledge on how to best conduct this method. Pilot group data were used to compare different analysis methods and to ...
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    The nominal group technique (NGT) is a method to elicit healthcare priorities. Yet, there is variability on how to conduct the NGT, and limited guidance on how to analyse a diverse sample of multiple groups. This paper addresses some of this ambiguity, and explores whether different approaches to analysis provide the same outcome/s. Conceptual papers and empirical studies were identified via PubMed and informed an adapted version of the NGT. Twenty-six nominal groups were conducted, which provided in-depth knowledge on how to best conduct this method. Pilot group data were used to compare different analysis methods and to explore how this impacted on reported outcomes. Data analyses for large data-sets are complex; thematic analysis is needed to be able to conduct across group comparisons of participant priorities. Consideration should be given not just to the strength, i.e. sum of votes, or relative importance of the priority, but to the voting frequency, i.e. the popularity of the idea amongst participants; our case study demonstrated that this can affect priority rankings for those ideas with the same score. As a case study, this paper provides practical information on analysis for complex data sets. Researchers need to consider more than one analysis process to ensure that the results truly reflect participant priorities. A priority that has a high score may not necessarily reflect its popularity within the group; the voting frequency may also need to be considered.
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    Journal Title
    Health Services and Outcomes Research Methodology
    Volume
    14
    Issue
    3
    DOI
    https://doi.org/10.1007/s10742-014-0121-1
    Copyright Statement
    © 2014 Springer US. This is an electronic version of an article published in Health Services and Outcomes Research Methodology, Vol. 14 (3), 2014, pp. 92-108. Health Services and Outcomes Research Methodology is available online at: http://link.springer.com/ with the open URL of your article.
    Subject
    Clinical Pharmacy and Pharmacy Practice
    Publication URI
    http://hdl.handle.net/10072/65047
    Collection
    • Journal articles

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