Designing a "Thinking System" to Reduce the Human Burden of Care Delivery

Team-Based Care for Cancer Survivors With Comorbidities: A Systematic Review

Coordination of quality care for the growing population of cancer survivors with comorbidities remains poorly understood, especially among health disparity populations who are more likely to have comorbidities at the time of cancer diagnosis. This systematic review synthesized the literature from 2000 to 2022 on team-based care for cancer survivors with comorbidities and assessed team-based care conceptualization, teamwork processes, and outcomes. Six databases were searched for original articles on adults with cancer and comorbidity, which defined care team composition and comparison group, and assessed clinical or teamwork processes or outcomes. We identified 1,821 articles of which 13 met the inclusion criteria. Most studies occurred during active cancer treatment and nine focused on depression management. Four studies focused on Hispanic or Black cancer survivors and one recruited rural residents. The conceptualization of team-based care varied across articles. Teamwork processes were not explicitly measured, but teamwork concepts such as communication and mental models were mentioned. Despite team-based care being a cornerstone of quality cancer care, studies that simultaneously assessed care delivery and outcomes for cancer and comorbidities were largely absent. Improving care coordination will be key to addressing disparities and promoting health equity for cancer survivors with comorbidities.

Cancer prevention, risk reduction, and control: opportunities for the next decade of health care delivery research

In this commentary, we discuss opportunities to optimize cancer care delivery in the next decade building from evidence and advancements in the conceptualization and implementation of multi-level translational behavioral interventions. We summarize critical issues and discoveries describing new directions for translational behavioral research in the coming decade based on the promise of the accelerated application of this evidence within learning health systems. To illustrate these advances, we discuss cancer prevention, risk reduction (particularly precision prevention and early detection), and cancer treatment and survivorship (particularly risk- and need-stratified comprehensive care) and propose opportunities to equitably improve outcomes while addressing clinician shortages and cross-system coordination. We also discuss the impacts of COVID-19 and potential advances of scientific knowledge in the context of existing evidence, the need for adaptation, and potential areas of innovation to meet the needs of converging crises (e.g., fragmented care, workforce shortages, ongoing pandemic) in cancer health care delivery. Finally, we discuss new areas for exploration by applying key lessons gleaned from implementation efforts guided by advances in behavioral health.

Mending Disconnects in Cancer Care: Setting an Agenda for Research, Practice, and Policy

Cancer in the United States accounts for $600 billion in health care costs, lost work time and productivity, reduced quality of life, and premature mortality. The future of oncology delivery must mend disconnects to equitably improve patient outcomes while constraining costs and burden on patients, caregivers, and care teams. Embedding learning health systems into oncology can connect care, engaging patients and providers in fully interoperable data systems that remotely monitor patients; generate predictive and prescriptive analytics to facilitate appropriate, timely referrals; and extend the reach of clinicians beyond clinic walls. Incorporating functional learning systems into the future of oncology and follow-up care requires coordinated national attention to 4 synergistic strategies: (1) galvanize and shape public discourse to develop and adopt these systems, (2) demonstrate their value, (3) test and evaluate their use, and (4) reform policy to incentivize and regulate their use.