Childhood cancer survivors are vulnerable to long-term treatment-related health conditions, which can lead to poor quality of life. Little data exist on the overall health of long-term Australian and New Zealand childhood cancer survivors or on survivors' motivations for attending survivorship clinics. This study administers a cross-sectional questionnaire to long-term survivors ≥5 years from their primary diagnosis. We compared participant-reported number of late effects by a cancer diagnosis, and identified clinical (eg, treatment) and demographic (eg, age) factors that were associated with late effects burden and engagement in cancer survivorship care. A total of 634 participants completed questionnaires (48% male, mean age = 21.7 years). Most participants (79%) reported at least one cancer-related late effect, most commonly fatigue (40%) and memory/learning difficulties (34%). Brain tumor survivors reported a higher total number of late effects than survivors with other diagnoses (mean = 5.7 vs. 3.2, P < .001). Participants' most commonly reported motivators for engaging in care were to understand problems that may occur later in life because of their cancer and/or treatment (98.5%) and to get reassurance about one's health (97.4%). The proportion of survivors endorsing each motivating factor was similar across cancer diagnoses, with the exception of learning more about insurance and pensions (highest in brain tumor survivors = 80%). In multivariable analyses, survivors were more likely to report being engaged in survivorship care if they were younger (P < .001), less time had elapsed since their diagnosis (P < .001), or they reported a higher number of motivating factors (P = .016). Survivors report a range of health problems decades after treatment completion. Understanding the burden of late effects, and motivators for seeking survivorship care to manage these health problems, is important for ensuring that tailored interventions or services are available to meet the needs of this growing population and to design effective models of survivorship care.
Read full abstract