Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/17205
Title: The Patient-Reported Information Multidimensional Exploration (PRIME) Framework for Investigating Emotions and Other Factors of Prostate Cancer Patients with Low Intermediate Risk Based on Online Cancer Support Group Discussions.
Authors: Bandaragoda, Tharindu;Ranasinghe, Weranja K B;Adikari, Achini;de Silva, Daswin;Lawrentschuk, Nathan;Alahakoon, Damminda;Persad, Raj;Bolton, Damien
Affiliation: Research Centre for Data Analytics and Cognition, La Trobe University, Melbourne, VIC, Australia
Austin Health, Heidelberg, Victoria, Australia
North Bristol NHS Trust, Bristol, England, UK
Issue Date: 21-Feb-2018
EDate: 2018
Citation: Annals of surgical oncology 2018; online first: 21 February
Abstract: This study aimed to use the Patient Reported Information Multidimensional Exploration (PRIME) framework, a novel ensemble of machine-learning and deep-learning algorithms, to extract, analyze, and correlate self-reported information from Online Cancer Support Groups (OCSG) by patients (and partners of patients) with low intermediate-risk prostate cancer (PCa) undergoing radical prostatectomy (RP), external beam radiotherapy (EBRT), and active surveillance (AS), and to investigate its efficacy in quality-of-life (QoL) and emotion measures. From patient-reported information on 10 OCSG, the PRIME framework automatically filtered and extracted conversations on low intermediate-risk PCa with active user participation. Side effects as well as emotional and QoL outcomes for 6084 patients were analyzed. Side-effect profiles differed between the methods analyzed, with men after RP having more urinary and sexual side effects and men after EBRT having more bowel symptoms. Key findings from the analysis of emotional expressions showed that PCa patients younger than 40 years expressed significantly high positive and negative emotions compared with other age groups, that partners of patients expressed more negative emotions than the patients, and that selected cohorts (< 40 years, > 70 years, partners of patients) have frequently used the same terms to express their emotions, which is indicative of QoL issues specific to those cohorts. Despite recent advances in patient-centered care, patient emotions are largely overlooked, especially in younger men with a diagnosis of PCa and their partners. The authors present a novel approach, the PRIME framework, to extract, analyze, and correlate key patient factors. This framework improves understanding of QoL and identifies low intermediate-risk PCa patients who require additional support.
URI: http://ahro.austin.org.au/austinjspui/handle/1/17205
DOI: 10.1245/s10434-018-6372-2
ORCID: http://orcid.org/0000-0002-4006-0388
0000-0001-8553-5618
0000-0002-5145-6783
PubMed URL: 29468607
Type: Journal Article
Appears in Collections:Journal articles

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