Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations between patients and healthcare professionals to navigate treatment options. However, the complexity of neuro-oncological conditions and the cognitive and emotional burdens on patients present significant barriers to achieving effective SDM. This discussion explores the potential of large language models (LLMs) such as OpenAI\'s ChatGPT and Google\'s Bard to overcome these barriers, offering a means to enhance patient understanding and engagement in their care. LLMs, by providing accessible, personalized information, could support but not supplant the critical insights of healthcare professionals. The hypothesis suggests that patients, better informed through LLMs, may participate more actively in their treatment choices. Integrating LLMs into neuro-oncology requires navigating ethical considerations, including safeguarding patient data and ensuring informed consent, alongside the judicious use of AI technologies. Future efforts should focus on establishing ethical guidelines, adapting healthcare workflows, promoting patient-oriented research, and developing training programs for clinicians on the use of LLMs. Continuous evaluation of LLM applications will be vital to maintain their effectiveness and alignment with patient needs. Ultimately, this exploration contends that the thoughtful integration of LLMs into SDM processes could significantly enhance patient involvement and strengthen the patient-physician relationship in neuro-oncology care.

OBJECTIVE: This study explores healthcare professionals (HCPs)\' perception and current management of sleep disturbance (SD) in people with malignant brain tumours and their caregivers. We aimed to identify barriers to effective management of SD in neuro-oncology care.
METHODS: We conducted semi-structured interviews with 11 HCPs involved in neuro-oncology care. The study was underpinned by the Capability Opportunity Motivation-Behaviour (COM-B) model within the Behavioural Change Wheel (BCW) guiding topic selection for the exploration of underlying processes of HCPs\' behaviours and care decisions for SD management. Data were analysed thematically using a framework synthesis, and subsequently mapped onto the BCW to identify barriers for effective management and recommend potential interventions.
RESULTS: We identified four themes: HCPs\' clinical opinions about SD, the current practice of SD management in neuro-oncology clinics, gaps in the current practice, and suggested areas for improvements. HCPs perceived SD as a prevalent yet secondary issue of low priority in neuro-oncology care. SD was unrecognised, and inadequately managed in usual clinical settings. Interventional options included modifying the use of corticosteroids or prescribing sedatives. When mapped onto the BCW, themes identified main barriers as a lack of awareness among HCPs about SD warranting care, due to the absence of screening tools and limited knowledge and resources for therapeutic interventions.
CONCLUSIONS: Multidisciplinary HCPs need training in the routine use of appropriate sleep assessment tools, and access to clear management pathways. More professional resources are needed to educate staff in implementing appropriate interventions for people with malignant brain tumours who are experiencing SD.

OBJECTIVE: Sleep disturbance is easily overlooked in subspecialty consultations and may remain untreated during and after initial treatment of malignant brain tumours (BT). This study aimed to explore perceptions of healthcare professionals (HCPs) actively engaged in neuro-oncology care towards sleep disturbance in adults with primary or secondary BT and to identify facilitators and barriers to assessment and management of sleep disturbance.
METHODS: A survey was conducted to explore HCPs\' perceptions about their knowledge, skills, and confidence in managing sleep disturbance in people with BT. The survey also explored their beliefs, motivation, and perceived role in managing sleep disturbance, and views on contributing external factors that impacted management.
RESULTS: Seventy-three interdisciplinary HCPs with average of 9.3 years of clinical experience in neuro-oncology participated. Fifty-five percent of participants were medical or radiation oncologists. Participants reported a high observed prevalence of sleep disturbance, especially in inpatient settings, during initial treatment, and after tumour progression or recurrence. Only 20% of participants reported routinely reviewing sleep-related symptoms during consultations. General symptom screening questions were perceived as helpful to identify sleep disturbance. Almost all respondents (92%) viewed corticosteroids as the most relevant risk factor, followed by psychological distress. The most frequent clinical responses were offering verbal advice and prescribing medication. The lack of time, resources, and training for managing sleep issues were commonly reported barriers.
CONCLUSIONS: Overall, participants perceived sleep disturbance as highly prevalent in neuro-oncology and positively viewed the importance of managing this symptom. Practical barriers to management were reported that future interventions can target.