Among patients with serious illness, palliative care before hospice enrollment is associated with improved quality of life, reduced symptom burden, and earlier transitions to hospice. However, fewer than half of eligible patients receive specialty palliative care referrals. As most hospice clinicians and administrators have experience in specialty palliative care, several emerging programs propose engaging hospice clinicians to provide early palliative care.
View Article and Find Full Text PDFIntroduction: Healthcare advances are hindered by underrepresentation in prospective research; sociodemographic, data, and measurement infidelity in retrospective research; and a paucity of guidelines surrounding equitable research practices.
Objective: The Joint Research Practices Working Group was created in 2021 to develop and disseminate guidelines for the conduct of inclusive and equitable research.
Methods: Volunteer faculty and staff from two research centers at the University of Pennsylvania initiated a multi-pronged approach to guideline development, including literature searches, center-level feedback, and mutual learning with local experts.
Patients with serious illnesses have unmet symptom and psychosocial needs. Specialty palliative care could address many of these needs; however, access varies by geography and health system. Virtual visits and automated referrals could increase access and lead to improved quality of life, health outcomes, and patient-centered care for patients with serious illness.
View Article and Find Full Text PDFBackground: Guidelines recommend dual-energy x-ray absorptiometry (DXA) screening to assess fracture risk and benefit from antiresorptive therapy in men with metastatic hormone-sensitive prostate cancer (mHSPC) on androgen deprivation therapy (ADT). However, <30% of eligible patients undergo DXA screening. Biomechanical computed tomography (BCT) is a radiomic technique that measures bone mineral density (BMD) and bone strength from computed tomography (CT) scans.
View Article and Find Full Text PDFResearch Objective: Health systems use clinical predictive algorithms to allocate resources to high-risk patients. Such algorithms are trained using historical data and are later implemented in clinical settings. During this implementation period, predictive algorithms are prone to performance changes ("drift") due to exogenous shocks in utilization or shifts in patient characteristics.
View Article and Find Full Text PDFBackground: The COVID-19 pandemic has led to delays in patients seeking care for life-threatening conditions; however, its impact on treatment patterns for patients with metastatic cancer is unknown. We assessed the COVID-19 pandemic's impact on time to treatment initiation (TTI) and treatment selection for patients newly diagnosed with metastatic solid cancer.
Methods: We used an electronic health record-derived longitudinal database curated via technology-enabled abstraction to identify 14 136 US patients newly diagnosed with de novo or recurrent metastatic solid cancer between January 1 and July 31 in 2019 or 2020.
Background: The COVID-19 pandemic has led to delays in patients seeking care for life-threatening conditions; however, its impact on treatment patterns for patients with metastatic cancer is unknown. We assessed the COVID-19 pandemic's impact on time to treatment initiation (TTI) and treatment selection for patients newly diagnosed with metastatic solid cancer.
Methods: We used an electronic health record-derived longitudinal database curated via technology-enabled abstraction to identify 14,136 US patients newly diagnosed with de novo or recurrent metastatic solid cancer between January 1 and July 31 in 2019 or 2020.