"Hospice care could be a compassionate choice": ChatGPT responses to questions about decision making in advanced cancer Journal Article
| Authors: | McDarby, M.; Mroz, E. L.; Hahne, J.; Malling, C. D.; Carpenter, B. D.; Parker, P. A. |
| Article Title: | "Hospice care could be a compassionate choice": ChatGPT responses to questions about decision making in advanced cancer |
| Abstract: | Background: Patients with cancer use the internet to inform medical decision making. Objective: To examine the content of ChatGPT responses to a hypothetical patient question about decision making in advanced cancer. Design: We developed a medical advice-seeking vignette in English about a patient with metastatic melanoma. When inputting this vignette, we varied five characteristics (patient age, race, ethnicity, insurance status, and preexisting recommendation of hospice/the opinion of an adult daughter regarding the recommendation). ChatGPT responses (N = 96) were coded for mentions of: hospice care, palliative care, financial implications of treatment, second opinions, clinical trials, discussing the decision with loved ones, and discussing the decision with care providers. We conducted additional analyses to understand how ChatGPT described hospice and referenced the adult daughter. Data were analyzed using descriptive statistics and chi-square analysis. Results: Responses more frequently mentioned clinical trials for vignettes describing 45-year-old patients compared with 65- and 85-year-old patients. When vignettes mentioned a preexisting recommendation for hospice, responses more frequently mentioned seeking a second opinion and hospice care. ChatGPT's descriptions of hospice focused primarily on its ability to provide comfort and support. When vignettes referenced the daughter's opinion on the hospice recommendation, approximately one third of responses also referenced this, stating the importance of talking to her about treatment preferences and values. Conclusion: ChatGPT responses to questions about advanced cancer decision making can be heterogeneous based on demographic and clinical characteristics. Findings underscore the possible impact of this heterogeneity on treatment decision making in patients with cancer. |
| Keywords: | palliative care; melanoma; artificial intelligence; terminal care; chi square test; data analysis software; hospice care; vignettes; descriptive statistics; funding source; cancer patients -- psychosocial factors; neoplasms -- therapy; coding; decision making, computer assisted; decision making, patient; human; disease attributes; chatbot; adult children -- psychosocial factors |
| Journal Title: | Journal of Palliative Medicine |
| Volume: | 27 |
| Issue: | 12 |
| ISSN: | 1096-6218 |
| Publisher: | Mary Ann Liebert, Inc |
| Date Published: | 2024-12-01 |
| Start Page: | 1618 |
| End Page: | 1624 |
| Language: | English |
| DOI: | 10.1089/jpm.2024.0256 |
| PROVIDER: | EBSCOhost |
| PROVIDER: | cinahl plus with full text |
| PUBMED: | 39263979 |
| DOI/URL: | |
| Notes: | MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding author is Meghan McDarby -- Source: CINAHL Plus with Full Text |
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