ABSTRACT
The root causes of racial disparities in access to optimal cancer care and related cancer outcomes are complex, multifactorial, and not rooted in biology. Contributing factors to racial disparities in care delivery include implicit and explicit bias, lack of representation of people of color in the oncology care and research workforce, and homogenous research participants that are not representative of the larger community. Systemic and structural barriers include policies leading to lack of insurance and underinsurance, costs of cancer treatment and associated ancillary costs of care, disparate access to clinical trials, and social determinants of health, including exposure to environmental hazards, access to housing, childcare, and economic injustices. To address these issues, ACS CAN, NCCN, and NMQF convened the Elevating Cancer Equity (ECE) initiative. The ECE Working Group developed the Health Equity Report Card (HERC). In this manuscript, we describe the process taken by the ECE Working Group to develop the HERC recommendations, the strategies employed by NCCN to develop an implementation plan and scoring methodology for the HERC, and next steps to pilot the HERC tool in practice settings.
Subject(s)
Health Equity , Neoplasms , Humans , Delivery of Health Care , Neoplasms/epidemiology , Neoplasms/therapy , Medical Oncology , Policy , Healthcare DisparitiesABSTRACT
A cancer diagnosis can upend work and family life, leading patients to reallocate resources away from essentials such as food. Estimates of the percentage of people navigating a cancer diagnosis and food insecurity range between 17% and 55% of the cancer patient population. The complexity of addressing food insecurity among those diagnosed with cancer during different phases of treatment is multifactorial and often requires an extensive network of support throughout each phase. This commentary explores the issue of food insecurity in the context of cancer care, explores current mitigation efforts, and offers a call to action to create a path for food insecurity mitigation in the context of cancer. Three programs that address food insecurity among those with cancer at various stages of care are highlighted, drawing attention to current impact and actionable recommendations to make programs like these scalable and sustainable. Recommendations are grounded in the National Academies of Sciences, Engineering, and Medicine social care framework through 5 essential domain areas: awareness, adjustment, assistance, alignment, and advocacy. This commentary seeks to highlight opportunities for the optimization of cancer care and reframe food access as an essential part of treatment and long-term care plans.
Subject(s)
Food Supply , Neoplasms , Humans , Food Insecurity , Neoplasms/epidemiology , Neoplasms/therapyABSTRACT
Demographic factors such as race, socioeconomic status, gender identity, area of residence, native language, and cultural barriers have an effect on outcomes in cancer care. To identify unmet needs, challenges, and opportunities in achieving high-quality, patient-centered cancer care for all, NCCN conducted a yearlong environmental scan, which involved stakeholder meetings with patients and patient advocacy groups to discuss these topics. The findings from this scan informed the corresponding NCCN Patient Advocacy Summit: Advocating for Equity in Cancer Care, held in Washington, DC, on December 10, 2018. In addition to the many patient advocacy groups, the summit featured a number of other stakeholders that advocate for equity in cancer care. This article encapsulates the findings of the environmental scan and the discussion from the NCCN Patient Advocacy Summit.
Subject(s)
Health Equity , Neoplasms/epidemiology , Patient Advocacy , Patient Care , Ethnicity , Healthcare Disparities , Humans , Neoplasms/diagnosis , Neoplasms/therapy , Patient Care/standards , United States/epidemiologyABSTRACT
Nursing research relies heavily on the use of latent constructs to describe and understand phenomena that cannot be measured through direct observation. In statistical models, variables representing these constructs, often operationalized and represented as scores on self-report measures, stand in as symbolic representations of real forces having an impact on patients' experiences of living and dying. In this sense, latent constructs represent real phenomena that cannot always be seen directly.