Abstract

BackgroundOnline 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.MethodsA 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.FindingsPCa 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.ConclusionThis 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.

Highlights

  • The difficult experience of dealing with cancer is unique to each patient

  • 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 Artificial Intelligence (AI)

  • prostate cancer (PCa) patients joining pre-treatment had improved emotions, and long-term participation in Online Cancer Support Groups (OCSG) led to an increase in emotional wellbeing, indicating a decrease in psychological distress

Read more

Summary

Introduction

The difficult experience of dealing with cancer is unique to each patient. Based on individual needs, patients seek psychological and emotional support at different phases of cancer survivorship [1]. Due to the lack of data relating to emotional and psychological distress, most clinical decisions have been based on isolated research trials which are impacted by restricted sample sizes, treatment protocols and treatment stages [3]. This increases the psychological morbidity experienced by patients during the entire cancer trajectory and may result in being left untreated. 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

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call