Background: Patients with cancer frequently encounter complex treatment pathways, often characterized by challenges with coordinating and scheduling appointments at various specialty services and locations. Identifying patients who might benefit from scheduling and social support from community health workers or patient navigators is largely determined on a case-by-case basis and is resource intensive.
Objective: This study aims to propose a novel algorithm to use scheduling data to identify complex scheduling patterns among patients with transportation and housing needs.
Since the early 1990s, there has been a dramatic rise in gastrointestinal cancers diagnosed in patients under age 50 for reasons that remain poorly understood. The most significant change has been the increase in incidence rates of early-onset colorectal cancer, especially rates of left-sided colon and rectal cancers. Increases in gastric, pancreatic, and other gastrointestinal cancer diagnoses have further contributed to this trend.
View Article and Find Full Text PDFBackground: Black individuals with cancer have a higher prevalence of comorbidities and a worse cancer prognosis than other racial groups in the US. As part of a quality improvement project, we aimed to demonstrate feasibility of self-monitoring and community health worker (CHW) support among managing comorbidities for Black individuals with breast or prostate cancer.
Methods: In a single arm, pre-post study, we enrolled patients with diabetes and/or hypertension who identified as Black and were diagnosed with 1) stage 0-IV breast cancer, or 2) prostate cancer and on long-term androgen-deprivation therapy.
Background: The 42 days after delivery ("fourth trimester") are a high-risk period for birthing individuals and newborns, especially those who are racially and ethnically marginalized due to structural racism.
Objective: To fill a gap in the critical "fourth trimester," we developed 2 ruled-based chatbots-one for birthing individuals and one for newborn caregivers-that provided trusted information about postbirth warning signs and newborn care and connected patients with health care providers.
Methods: A total of 4370 individuals received the newborn chatbot outreach between September 1, 2022, and December 31, 2023, and 3497 individuals received the postpartum chatbot outreach between November 16, 2022, and December 31, 2023.
Importance: Insomnia symptoms affect an estimated 30% to 50% of the 4 million US breast cancer survivors. Previous studies have shown the effectiveness of cognitive behavioral therapy for insomnia (CBT-I), but high insomnia prevalence suggests continued opportunities for delivery via new modalities.
Objective: To determine the efficacy of a CBT-I-informed, voice-activated, internet-delivered program for improving insomnia symptoms among breast cancer survivors.