Family doctor-driven follow-up for adult childhood cancer survivors supported by a web-based survivor care plan

To facilitate family doctor-driven follow-up for adult childhood cancer survivors, we developed a survivor care plan (SCP) for adult survivors and their family doctors. The SCP was accessible for survivors and their family doctors on a secure website and as a printed booklet. It included data on diagnosis, treatment and potential risks as well as recommendations for follow-up. Childhood cancer survivors who were off-treatment >= 5 years, aged >= 18 years and not involved in a long-term follow-up program were eligible. They were advised to visit their family doctor. The endpoints were numbers of participants, adherence of family doctors to the guidelines and satisfaction ratings. The eligibility criteria were fulfilled by 108 survivors. Three family doctors and 15 survivors refused, 10 survivors were non-responders. Of the remaining 80 survivors, 73 survivors visited 72 family doctors. Sixty-nine (96%) family doctors returned data of whom 60 (83%) fully adhered to the recommended tests. The majority of survivors and family doctors were satisfied about the SCP. A (web-based) SCP for survivors and family doctors can serve as an effective communication vehicle to provide adequate shared care by the long-term follow-up clinic and family doctors

Predictors of Chronic Opioid Use: A Population-Level Analysis of North Carolina Cancer Survivors Using Multi-Payer Claims

Background: No population-based studies have examined chronic opioid use among cancer survivors who are diverse with respect to diagnosis, age group, and insurance status. Methods: We conducted a retrospective cohort study using North Carolina cancer registry data linked with claims from public and private insurance (2006-2016). We included adults with nonmetastatic cancer who had no prior chronic opioid use (n = 38 366). We used modified Poisson regression to assess the adjusted relative risk of chronic opioid use in survivorship (>90-day continuous supply of opioids in the 13-24 months following diagnosis) associated with patient characteristics. Results: Only 3.0% of cancer survivors in our cohort used opioids chronically in survivorship. Predictors included younger age (adjusted risk ratio [aRR] 50-59 vs 60-69 = 1.23, 95% confidence interval [CI] = 1.05 to 1.43), baseline depression (aRR = 1.22, 95% CI = 1.06 to 1.41) or substance use (aRR = 1.43, 95% CI = 1.15 to 1.78) and Medicaid (aRR vs private = 1.93, 95% CI = 1.56 to 2.40). Survivors who used opioids intermittently (vs not at all) before diagnosis were twice as likely to use opioids chronically in survivorship (aRR = 2.62, 95% CI = 2.28 to 3.02). Those who used opioids chronically (vs intermittently or not at all) during active treatment had a nearly 17-fold increased likelihood of chronic use in survivorship (aRR = 16.65, 95% CI = 14.30 to 19.40). Conclusions: Younger and low-income survivors, those with baseline depression or substance use, and those who require chronic opioid therapy during treatment are at increased risk for chronic opioid use in survivorship. Our findings point to opportunities to improve assessment of psychosocial histories and to engage patients in shared decision-making around long-term pain management, when chronic opioid therapy is required during treatment

Body mass index and annual increase of body mass index in long-term childhood cancer survivors; relationship to treatment

Evaluation of body mass index (BMI) at final height (FH) and annual BMI increase in adult childhood cancer survivors (CCS) after treatment with anthracyclines, platinum, and/or radiotherapy. BMI (weight/heightA(2)) was calculated retrospectively from diagnosis until FH. The prevalence of underweight (BMI < 18.5 kg/m(2)) and overweight (BMI a parts per thousand yenaEuro parts per thousand 25 kg/m(2))/obesity (BMI a parts per thousand yenaEuro parts per thousand 30 kg/m(2)) at FH was compared with age-matched controls. The association between underweight/overweight at FH and treatment was assessed by multivariate logistic regression. Annual BMI increase after treatment was assessed by multilevel analysis. Analyses were adjusted for age and underweight/overweight at diagnosis, and age at FH. At FH the prevalence of overweight had not increased, while CCS experienced more underweight as compared to controls (14% vs. 4%, P < 0.001). Overweight at FH was associated with cranial/craniospinal radiotherapy (CRT; OR, 2.23; 95% CI, 1.17-4.26) and underweight at FH with anthracyclines > 300 mg/m(2) (OR, 2.84; 95% CI, 1.33-6.06). Annual BMI increase was +0.47 (0.34-0.60) kg/m(2)/year. In CCS, the annual BMI increase was greater in those with CRT a parts per thousand yenaEuro parts per thousand 30 Gy as compared with those with less or no CRT (+0.15 kg/m(2)/year [0.04-0.25 kg/m(2)/year], P = 0.008) and smaller in those with a higher cumulative anthracycline dose (-0.03 kg/m(2)/year [-0.05 to -0.0005 kg/m(2)/year] per 100 mg/m(2), P = 0.046). After treatment with anthracyclines, platinum, and/or radiotherapy, CRT-treated survivors have more overweight at FH, and a greater annual BMI increase, while anthracycline-treated survivors have more underweight at FH and a lower annual BMI increase