• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Multidimensional symptom clusters: an exploratory factor analysis in advanced chronic kidney disease

    Thumbnail
    View/Open
    Bonner422597-Accepted.pdf (346.0Kb)
    File version
    Accepted Manuscript (AM)
    Author(s)
    Almutary, H
    Douglas, C
    Bonner, A
    Griffith University Author(s)
    Bonner, Ann J.
    Year published
    2016
    Metadata
    Show full item record
    Abstract
    AIMS: To explore the existence of symptom clusters in advanced chronic kidney disease.BACKGROUND: People with chronic kidney disease commonly report multiple symptoms. However, the complex relationships among these symptoms are still poorly understood.DESIGN: Cross-sectional.METHODS: A total of 436 people with stage 4 and 5 chronic kidney disease were recruited from three tertiary hospitals during 2013-2014. Participants completed the Chronic Kidney Disease-Symptom Burden Index that assesses four symptom dimensions (occurrence, distress, severity and frequency) of 32 symptoms. Exploratory factor analysis was used to identify ...
    View more >
    AIMS: To explore the existence of symptom clusters in advanced chronic kidney disease.BACKGROUND: People with chronic kidney disease commonly report multiple symptoms. However, the complex relationships among these symptoms are still poorly understood.DESIGN: Cross-sectional.METHODS: A total of 436 people with stage 4 and 5 chronic kidney disease were recruited from three tertiary hospitals during 2013-2014. Participants completed the Chronic Kidney Disease-Symptom Burden Index that assesses four symptom dimensions (occurrence, distress, severity and frequency) of 32 symptoms. Exploratory factor analysis was used to identify symptom clusters across each symptom dimension. Core symptoms in each cluster were determined based on stability across dimensions and clinical plausibility. A high cutoff of 0·50 for factor loading was used for all analyses.RESULTS: Five symptom clusters were consistently identified across all symptom dimensions: fluid volume symptoms, neuromuscular symptoms, gastrointestinal symptoms, sexual symptoms and psychological symptoms. Overall, clusters ranged from 2-10 symptoms. Several symptoms were also interconnected with multiple clusters. Fatigue cross-loaded on all five clusters, whereas sleep disturbance and restless leg symptoms cross-loaded across three clusters.CONCLUSIONS: Adopting a symptom cluster approach has the potential to significantly advance symptom assessment and nursing care for people in advanced stages of chronic kidney disease. Routine clinical assessment and management strategies targeted at the cluster level should have synergistic effects in reducing symptoms. Fatigue is a pervasive symptom in advanced chronic kidney disease that is interconnected with global symptom burden, suggesting better management of symptom clusters may also reduce fatigue.
    View less >
    Journal Title
    Journal of advanced nursing
    Volume
    72
    Issue
    10
    DOI
    https://doi.org/10.1111/jan.12997
    Copyright Statement
    © 2016 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Multidimensional symptom clusters: an exploratory factor analysis in advanced chronic kidney disease, Journal of Advanced Nursing, 2016, 72 (10), pp. 2389-2400, which has been published in final form at https://doi.org/10.1111/jan.12997. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
    Subject
    Nursing
    chronic kidney disease
    management
    symptom assessment
    symptom clusters
    Publication URI
    http://hdl.handle.net/10072/394586
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander