Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/22881
Title: | Using cluster analysis of anxiety-depression to identify subgroups of prostate cancer patients for targeted treatment planning | Contributor(s): | Sharpley, Christopher (author)![]() ![]() |
Publication Date: | 2017 | DOI: | 10.1002/pon.4391 | Handle Link: | https://hdl.handle.net/1959.11/22881 | Abstract: | Background: To explore any possible subgroupings of prostate cancer (PCa) patients based upon their combined anxiety‐depression symptoms for the purposes of informing targeted treatments. Methods: A sample of 119 PCa patients completed the GAD7 (anxiety) and PHQ9 (depression), plus a background questionnaire, by mail survey. Data on the GAD7 and PHQ9 were used in a cluster analysis procedure to identify and define any cohesive subgroupings of patients within the sample. Results: Three distinct clusters of patients were identified and were found to be significantly different in the severity of their GAD7 and PHQ9 responses, and also by the profile of symptoms that they exhibited. Conclusions: The presence of these 3 clusters of PCa patients indicates that there is a need to extend assessment of anxiety and depression in these men beyond simple total score results. By applying the clustering profiles to samples of PCa patients, more focussed treatment might be provided to them, hopefully improving outcome efficacy. | Publication Type: | Journal Article | Source of Publication: | Psycho-Oncology, 26(11), p. 1846-1851 | Publisher: | John Wiley & Sons Ltd | Place of Publication: | United Kingdom | ISSN: | 1099-1611 1057-9249 |
Fields of Research (FoR) 2008: | 110903 Central Nervous System | Fields of Research (FoR) 2020: | 320903 Central nervous system | Socio-Economic Objective (SEO) 2008: | 920111 Nervous System and Disorders | Socio-Economic Objective (SEO) 2020: | 200409 Mental health | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
---|---|
Appears in Collections: | Journal Article School of Science and Technology |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
3
checked on Aug 24, 2024
Page view(s)
1,636
checked on Feb 25, 2024
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.