Journal Article

Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories

Persad, Raj, Lawrentschuk, Nathan, Bolton, Damien, Bandaragoda, Tharindu, Adikari, Achini, Ranasinghe, Weranja K. B., de Silva, Daswin, Alahakoon, Oshadi, Alahakoon, Damminda

2020

Overview

Online Cancer Support Groups (OCSG) are becoming an increasingly vital source of information, experiences and empowerment for patients with cancer. Despite significant contributions to physical, psychological and emotional wellbeing of patients, OCSG are yet to be formally recognised and used in multidisciplinary cancer support programs. This study highlights the opportunity of using Artificial Intelligence (AI) in OCSG to address psychological morbidity, with supporting empirical evidence from prostate cancer (PCa) patients. A validated framework of AI techniques and Natural Language Processing (NLP) methods, was used to investigate PCa patient activities based on conversations in ten international OCSG (18,496 patients- 277,805 conversations). The specific focus was on activities that indicate psychological morbidity; the reasons for joining OCSG, deep emotions and the variation from joining through to milestones in the cancer trajectory. Comparative analyses were conducted using t-tests, One-way ANOVA and Tukey-Kramer post-hoc analysis. PCa patients joined OCSG at four key phases of psychological distress; diagnosis, treatment, side-effects, and recurrence, the majority group was 'treatment' (61.72%). The four groups varied in expression of the intense emotional burden of cancer. The 'side-effects' group expressed increased negative emotions during the first month compared to other groups (p<0.01). A comparison of pre-treatment vs post-treatment emotions showed that joining pre-treatment had significantly lower negative emotions after 12-months compared to post-treatment (p<0.05). Long-term deep emotion analysis reveals that all groups except 'recurrence' improved in emotional wellbeing. This is the first empirical study of psychological morbidity and deep emotions expressed by men with a new diagnosis of cancer, using AI. PCa patients joining pre-treatment had improved emotions, and long-term participation in OCSG led to an increase in emotional wellbeing, indicating a decrease in psychological distress. It is opportune to further investigate AI in OCSG for early psychological intervention as an adjunct to conventional intervention programs.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Adult / Aged / Analysis / Artificial Intelligence / Biology and Life Sciences / Cancer diagnosis / Cancer patients / Cognition & reasoning / Computer and Information Sciences / Data analysis / Diagnosis / Emotions / Empirical analysis / Empowerment / Humans / Internet / Intervention / Male / Medical diagnosis / Medical research / Medicine and Health Sciences / Methods / Middle Aged / Morbidity / Natural language processing / Newton-John, Olivia / Patients / Physical Sciences / Prostate cancer / Prostatic Neoplasms - psychology / Prostatic Neoplasms - therapy / Research and Analysis Methods / Self-Help Groups / Side effects / Social media / Social networks / Social Sciences / Social support / Stress (Psychology) / Support groups / Surgery / Time Factors / Trajectory analysis / Variance analysis / Verbal communication / Well being