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Using cluster analysis of anxiety‐depression to identify subgroups of prostate cancer patients for targeted treatment planning
Author(s) -
Sharpley Christopher F.,
Bitsika Vicki,
Warren Amelia K.,
Christie David R.H.
Publication year - 2017
Publication title -
psycho‐oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.41
H-Index - 137
eISSN - 1099-1611
pISSN - 1057-9249
DOI - 10.1002/pon.4391
Subject(s) - anxiety , depression (economics) , medicine , clinical psychology , prostate cancer , cluster (spacecraft) , oncology , cancer , psychiatry , computer science , economics , macroeconomics , programming language
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.