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Communicating bad news in oncology and hematology settings: A statistic and Large Language Model for interpreting
Elsa Vitale1, Luana Conte2,3, Marco Cioce4
1Scientific Directorate, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Background:
An effective communication seemed to be crucial in all the cancer care phases, like diagnosis, prognosis, and treatment options.
Objectives:
To analyze and interpret structured and open-ended questionnaire responses, focusing on the communication of bad news in onco-hematology: health care professionals' attitudes, communication methods, and perceived stress levels.
Methods:
By employing a free Large Language Model, we identified and summarized the main emotions and perspectives shared by professionals.
Results:
A total of 221 Italian nurses and physicians employed in onco-hematology field were enrolled. The analysis revealed key emotional themes, offering insights into the professionals' emotional states and coping mechanisms when delivering difficult news.
Significance Of Results:
Data highlighted the duality of emotions experienced by nurses when delivering bad news - balancing professional composure with emotional distress, underscoring the critical role of empathy, team support, and adequate preparation in helping nurses navigate these challenging conversations.
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