Family caregivers' experiences of caring for children diagnosed with haematological malignancies receiving chemotherapy in Ethiopia: A qualitative study

Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross-Sectional Investigation

PURPOSE

Caregivers in pediatric oncology need accurate and understandable information about their child's condition, treatment, and side effects. This study assesses the performance of publicly accessible large language model (LLM)-supported tools in providing valuable and reliable information to caregivers of children with cancer.

METHODS

In this cross-sectional study, we evaluated the performance of the four LLM-supported tools-ChatGPT (GPT-4), Google Bard (Gemini Pro), Microsoft Bing Chat, and Google SGE-against a set of frequently asked questions (FAQs) derived from the Children's Oncology Group Family Handbook and expert input (In total, 26 FAQs and 104 generated responses). Five pediatric oncology experts assessed the generated LLM responses using measures including accuracy, clarity, inclusivity, completeness, clinical utility, and overall rating. Additionally, the content quality was evaluated including readability, AI disclosure, source credibility, resource matching, and content originality. We used descriptive analysis and statistical tests including Shapiro-Wilk, Levene's, Kruskal-Wallis H-tests, and Dunn's post hoc tests for pairwise comparisons.

RESULTS

ChatGPT shows high overall performance when evaluated by the experts. Bard also performed well, especially in accuracy and clarity of the responses, whereas Bing Chat and Google SGE had lower overall scores. Regarding the disclosure of responses being generated by AI, it was observed less frequently in ChatGPT responses, which may have affected the clarity of responses, whereas Bard maintained a balance between AI disclosure and response clarity. Google SGE generated the most readable responses whereas ChatGPT answered with the most complexity. LLM tools varied significantly (p < 0.001) across all expert evaluations except inclusivity. Through our thematic analysis of expert free-text comments, emotional tone and empathy emerged as a unique theme with mixed feedback on expectations from AI to be empathetic.

CONCLUSION

LLM-supported tools can enhance caregivers' knowledge of pediatric oncology. Each model has unique strengths and areas for improvement, indicating the need for careful selection based on specific clinical contexts. Further research is required to explore their application in other medical specialties and patient demographics, assessing broader applicability and long-term impacts.

Exploring the Caregiver Experiences of Symptom Management in Children With Cancer: A Qualitative Systematic Review

Although caregivers of children with cancer play an instrumental role in managing their child's symptoms, the impact of their own experiences or perspectives is under-explored. Understanding these factors is essential as they influence caregiving behaviors and overall well-being. This qualitative systematic review addresses this knowledge gap by synthesizing existing research on caregiver's experiences. The review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Two reviewers utilized Rayyan to screen titles and abstracts retrieved from comprehensive keyword searches of five databases including CINAHL, APA PsycINFO, Embase, and MEDLINE. Databases and bibliographies were hand-searched for additional articles. One reviewer completed full text assessment and data were extracted into an Excel spreadsheet. The Quality Assessment with Diverse Studies tool was used to appraise included studies. Thematic content analysis was used to synthesize findings, which are presented narratively. Twelve articles are included, representing the experiences of 597 caregivers, most of which (83%) were undertaken in high-income nations. Quality appraisal scores indicated all studies were of moderate to robust quality. Three main themes were identified including: (1) caregivers as protectors in their role, (2) normalization of symptoms yet they remain disrupting, and (3) communication between the caregiver and child. Findings emphasize the importance of formalized information provision and education to better support caregivers in managing their child's cancer-related symptoms. Nurses are uniquely positioned to provide this essential support thereby improving the quality of life for both caregivers and children.

Experiences of caregivers of children with cancer in Malawi: A qualitative study

BACKGROUND

Studies have shown that caregivers of children with cancer experience challenges when caring for their children. To date, no studies have examined the experience of caregivers of children with cancer in Malawi, a low-income country in sub-Saharan Africa. Hence, this study aimed to explore the experiences of caregivers of Malawian children receiving cancer treatment.

METHODS

This explorative qualitative study used semi-structured interviews to collect data from 22 caregivers of children receiving cancer treatment. The data were analysed using qualitative content analysis.

RESULTS

Five themes emerged from the QCA. The caregivers perceived their children's cancer as a burden, a form of psychological torture and a disruptor of family routines and social lifestyles. They also reported self-isolation due to the stigma that they faced in the course of caring for their children and a need for informational, psychosocial, spiritual and financial support.

CONCLUSION

Caregivers of Malawian children with cancer experience physical and psychosocial challenges as they are caring for their children with cancer. Developing appropriate interventions would enable nurses to offer optimal support to these caregivers in dealing with these challenges and meeting their needs effectively.