Date of Award
Spring 5-17-2025
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Expressive Therapies
First Advisor
Robyn Cruz, PhD
Second Advisor
Donna Owens, PhD
Third Advisor
Carlos Roldan, MD
Abstract
Considered the 6th vital sign, distress, a combination of hopelessness, anxiety, fear, and depression, can impact patients’ quality of life, treatment adherence, and mortality. While screening is required in oncological centers, distress remains under-detected. This study examined the use of Icanfeel, a novel digital art-based tool, to complement traditional psychometric assessments such as Edmonton Symptom Assessment System (ESAS), to support patients’ expressions of symptoms and distress detection. Hospitalized adult oncological patients (N = 22) engaged twice with Icanfeel and with an active control condition. At various time points during the protocol, patients self-reported symptom burden using ESAS, self-disclosure using the Distress Disclosure Index, and distress intensity using the Distress-Thermometer and Problem-List. In terms of feasibility, 80% of participants rated their use of Icanfeel positively and as accessible. Quantitatively, distress disclosure remained unchanged but a statistically significant reduction in reported symptom burden following Icanfeel sessions was observed (p < 0.001, effect size = 0.96). Qualitative findings highlighted the diverse ways patients used images as metaphors to articulate symptoms, with text/audio data categorized into adaptive, maladaptive, and neutral emotions. The novel integration of a scalable art-based intervention with standardized symptom assessments offered a nuanced understanding of distress expression. Limitations included a small and homogenous sample precluding generalization of results. Future research should expand the sample size and diversity, incorporate technological refinements such as AI-generated personalized imagery, and assess long-term effects on self-disclosure. Icanfeel aligns with trends in digitalized health and patient-centered innovation, emphasizing the importance of patient-reported outcomes in improving quality of care.
Creative Commons License

This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License.
Recommended Citation
Deschamps, Marie J., "ICANFEEL: A DIGITAL ART ACTIVITY TO SUPPORT DISTRESS DETECTION IN ADULT ONCOLOGICAL PATIENTS" (2025). Expressive Therapies Dissertations. 5.
https://digitalcommons.lesley.edu/expressive_therapies_dissertation/5
Included in
Art Therapy Commons, Digital Humanities Commons, Health Psychology Commons, Oncology Commons, Psychiatric and Mental Health Commons, Psychoanalysis and Psychotherapy Commons, Telemedicine Commons
