Patterns and predictors of survivorship clinic attendance in a population-based sample of pediatric and young adult childhood cancer survivors.

Purpose: Because many survivors do not receive recommended follow-up, we sought to characterize patterns and predictors of survivorship clinic attendance in a population-based sample of childhood cancer survivors.

Methods: Using the Connecticut Tumor Registry, we identified all patients diagnosed with cancer at age ≤ 18 years from March 1, 1998 to March 1, 2008, still in follow-up 5 years post-diagnosis, and living <100 miles from Yale. Survivorship clinic attendance, demographics, disease characteristics, and treatment exposures were ascertained. Vital status was confirmed with the National Death Index. The Kaplan-Meier curves and hazard ratios were calculated for survivorship clinic attendance.

Results: Four hundred eighty-nine eligible survivors currently 19.1 ± 6.2 years old were diagnosed at a mean age of 9.1 ± 5.8 years with leukemias/lymphomas (47.2 %), central nervous system tumors (16.4 %), sarcomas (11.2 %), thyroid cancers or melanomas (7.8 %), and other solid tumors (17.4 %). The 10-year post-diagnosis clinic attendance probability was 27.8 % (SE = 2.3) overall, and 36.9 % (SE = 4.4) and 40.8 % (SE = 3.8), in patients with radiation and anthracycline exposure, respectively. In adjusted analysis, patients with insurance (HR = 2.90; p < 0.01 for private and HR = 2.05; p = 0.02 for public assistance), treated with anthracyclines (HR = 3.05; p < 0.01), and treated with radiation (HR = 1.90; p < 0.01) were significantly more likely to attend clinic.

Conclusions: The majority of childhood cancer survivors in our population-based sample had not attended survivorship clinic, even among those with high-risk exposures. Health care access, as measured by insurance status, was an important predictor of clinic attendance.

Implications For Cancer Survivors: More research is needed to clarify the link between insurance status and survivorship care to increase appropriate late effects surveillance in this population.