This study aimed to characterize unmet reproductive health needs of female young adult survivors of childhood cancer (YASCC), as understood by oncology providers ( = 10) caring for this patient population. Providers completed brief online questionnaires and a one-time semi-structured interview. Descriptive statistics characterized quantitative data, and rapid qualitative analysis identified themes in interview data.
View Article and Find Full Text PDFIntroduction: Continuity and coordination-of-care for childhood cancer survivors with multiple chronic conditions are understudied but critical for appropriate follow-up care.
Methods: From April through June 2022, 800 Childhood Cancer Survivor Study participants with two or more chronic conditions (one or more severe/life-threatening/disabling) were emailed the "Patient Perceived Continuity-of-Care from Multiple Clinicians" survey. The survey asked about survivors' main (takes care of most health care) and coordinating (ensures follow-up) provider, produced three care-coordination summary scores (main provider, across multiple providers, patient-provider partnership), and included six discontinuity indicators (e.
Importance: Multimorbidity and postoperative clinical decompensation are common among older surgical patients with cancer, highlighting the importance of primary care to optimize survival. Little is known about the association between primary care use and survivorship among older adults (aged ≥65 years) undergoing cancer surgery.
Objective: To examine primary care use among older surgical patients with cancer and its association with mortality.
Purpose: Treatment strategies for osteosarcoma evolving between 1970 and 1999 improved 5-year survival and continue as standard of care today. This report evaluates the impact of these evolving therapies on long-term health outcomes.
Methods: Five-year survivors of childhood osteosarcoma in CCSS treated from 1970 to 1999 were evaluated for late (>5 years from diagnosis) mortality, chronic health conditions (CHCs), and health status using piecewise-exponential and logistical models.