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OBJECTIVES: Clinicians often rely on caregiver proxy symptom reports to treat cancer-related symptoms in children. Research has described disagreement between children's and caregivers' symptom reports. Factors influencing the level of agreement is an understudied area. Thus, this study aimed to examine potential factors contributing to the level of agreement between symptom reports provided by children and their caregivers. METHODS: Sixteen child-caregiver dyads participated separately in semi-structured interviews after completing a brief symptom measure independently using an electronic device. Child and caregiver quantitative symptom responses were reviewed in real-time and incorporated into the semi-structured interview. Sample characteristics and the level of agreement between symptom reports were calculated using descriptive statistics. Transcribed participant interviews were analyzed using content analysis. RESULTS: Nearly half of child-caregiver dyads exhibited a moderate (37.5%, n = 6) or low (18.75%, n = 3) level of agreement on the abbreviated symptom measure. Qualitative analysis identified 5 themes: recognizing symptoms, experiencing symptoms, communicating symptoms, re-assessing and treating symptoms, and influencing individual and relationship factors. Influencing individual, including a child's tendencies or personality traits, and relationship factors intersected the other themes, partially explained their symptom perceptions, and served to facilitate or hinder symptom communication. SIGNIFICANCE OF RESULTS: Symptom communication is an important part of the symptom cycle, comprised of symptom recognition, experience, and management. Individual and relational factors may influence discrepancies in symptom perceptions between the child and caregiver. Clinicians and researchers should consider developing interventions to enhance symptom communication and promote collaboration between children and their caregivers to address symptom suffering during cancer treatment.
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Background: Few studies have examined biomarkers of stress and inflammation as underlying mechanisms of symptoms in adolescents and young adults with cancer. This study determined the feasibility of collecting blood and saliva samples across time, described the range and distribution of biomarkers, and explored the association of biomarkers with symptom adverse events (AEs). Method: This longitudinal, prospective repeated-measures single-site feasibility study recruited N = 10 children (M = 12.5 years) receiving treatment for advanced cancer. Symptom AE data and inflammation (cytokines and C-reactive protein) and physiologic response to stress (salivary cortisol and salivary alpha-amylase) biomarker levels were collected at three time points. Descriptive statistics were used to examine feasibility and acceptability and to summarize symptom AE, stress, and inflammatory biomarker data. A linear regression model was used to determine cortisol diurnal slopes. The relationship between symptom and inflammatory biomarker data was explored and Hedges's g statistic was used to determine its effect size. Results: Participants provided 83% of saliva samples (n = 199/240) and 185 samples were sufficient to be analyzed. Nurses collected 97% (n = 29/30) of blood samples. Participants reported the saliva collection instructions, kits, and reminders were clear and helpful. Insomnia, pain, fatigue, and anxiety demonstrated the most medium and large negative effects with inflammatory markers. Symptom AEs demonstrated the highest number of medium and large negative effects with interleukin-8 and tumor necrosis factor-alpha (-0.53 to -2.00). Discussion: The results indicate longitudinal concurrent collection of symptom and biomarker data is feasible and inflammatory and stress biomarkers merit consideration for inclusion in future studies.