# Exploring Patient-Centered Perspectives on Suicidal Ideation: A Mixed-Methods Investigation in Gastrointestinal Cancer Care

## TL;DR

This study explores how gastrointestinal cancer patients experience emotional distress and suicidal thoughts, especially after treatment, and suggests ways to improve mental health support.

## Contribution

The study introduces a mixed-methods approach to highlight the mental health needs of GI cancer patients and proposes AI as a tool for better care.

## Key findings

- Post-treatment recovery is the most emotionally challenging phase for GI cancer patients.
- Emotional support and clear communication from doctors can improve psychological well-being.
- AI is suggested as a promising tool to enhance patient understanding and treatment options.

## Abstract

Many patients diagnosed with gastrointestinal (GI) cancer experience emotional struggles, including feelings of depression and suicidal thoughts, yet these psychological needs often remain overlooked. This study was designed to better understand the mental health challenges faced by GI cancer patients—especially after treatment ends—by listening directly to their experiences through surveys and interviews. The findings reveal that the post-treatment phase can be more emotionally distressing than the diagnosis itself, with feelings of isolation, family burden, and lack of support contributing to poor mental health. The study also shows that access to emotional support, clear communication from doctors, and trusted health information—possibly delivered through AI—can improve patients’ psychological well-being. By shedding light on these needs, this research encourages more compassionate, patient-centered cancer care that addresses both physical and mental health.

Background: Gastrointestinal (GI) cancer patients face a four-fold higher suicide risk than the general US population. This study explores psychosocial aspects of GI cancer patient experiences, assessing suicidal ideation and behavior, mental distress during treatment phases, and psychosocial factors on mental health. Methods: A two-phase mixed-methods approach involved a web-based survey and follow-up interviews. Quantitative data analysis validated mental health and suicidal ideation constructs, and correlation analyses were performed. The patient journey was charted from diagnosis to treatment. Results: Two hundred and two individuals participated, with 76 from the rural Appalachian region and 78 undergoing treatments. Quantitative analysis showed a higher prevalence of passive suicidal ideation than active planning. The post-treatment recovery period was the most emotionally challenging. Qualitative data emphasized emotional support and vulnerability to isolation. Care quality concerns included individualized treatment plans and better communication. Patients also needed clear, comprehensive information about treatment and side effects. The in-depth interview with four GI cancer patients revealed a healthcare system prioritizing expedient treatment over comprehensive care, lacking formal psychological support. AI emerged as a promising avenue for enhancing patient understanding and treatment options. Conclusions: Our research advocates for a patient-centric model of care, enhanced by technology and empathetic communication.