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"Hospice Care Could Be a Compassionate Choice": ChatGPT Responses to Questions About Decision Making in Advanced Cancer.
McDarby, Meghan; Mroz, Emily L; Hahne, Jessica; Malling, Charlotte D; Carpenter, Brian D; Parker, Patricia A.
Afiliação
  • McDarby M; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Mroz EL; Section of Geriatrics, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Hahne J; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA.
  • Malling CD; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Carpenter BD; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Parker PA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
J Palliat Med ; 2024 Sep 12.
Article em En | MEDLINE | ID: mdl-39263979
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article