The societal value of unpaid caregiving is estimated to exceed $470 billion annually. In spite of the high value care they provide, caregivers experience significant financial burden. This paper ...examines the sources and impact of financial burden on cancer caregivers.
Survey of the published peer-reviewed literature complemented by Web-based sources.
Caregivers for cancer patients may experience financial burden disproportionately relative to other caregivers because of the intensity of care they provide and the cost and complexity of cancer treatment. Financial burden stems from employment loss and cost of care and can continue long after the death of the patient. Few federal policy protections are available for caregivers.
Oncology nurses can play an important role in recognizing the needs of caregivers and act as navigators to connect caregivers to available resources.
Approximately 6 million people provide caregiving to people diagnosed with cancer. Many must remain employed to support their household and to have access to health insurance. It is unknown if ...caregiving for a spouse diagnosed with cancer is associated with greater financial and mental stress relative to providing care for a spouse with different conditions.
Health and Retirement Study (2002-2020) data were used to compare employed caregivers, younger than age 65 years, caring for a spouse diagnosed with cancer (n = 103) and a matched control group caring for a spouse with other conditions (n = 515). We used logistic regression to examine a decrease in household income, increase in household debt, stopping work, and a new report of a mental health condition over a 4-year period, adjusting for socioeconomic and demographic characteristics, and health insurance status. Subanalyses stratified estimations by median household income.
Around a third of cancer caregivers reported they stopped working (35%) and had an increase in household debt (30%). Cancer caregivers in households below the median household income were more likely to report decreased income (13.4 percentage points pp;
< .10), increased household debt (14.5 pp;
< .10), and stopping work (18.8 pp;
< .05) than similar noncancer caregivers. Mixed results were found for a change in mental health domains. The results were robust to multiple sensitivity analyses.
Cancer caregivers from low-income households were more likely to increase debt and incur work loss compared with noncancer caregivers in similar households. Policies such as paid sick leave and family leave are needed for this strained and important population who have financial and employment responsibilities in addition to caregiving.
Much work to do about measuring work Bradley, Cathy J; Kitchen, Sara; Owsley, Kelsey M
JNCI : Journal of the National Cancer Institute,
02/2024, Letnik:
116, Številka:
2
Journal Article
Recenzirano
Odprti dostop
Work ability is a critical economic and well-being indicator in cancer care. Yet, work ability is understudied in clinical trials and observational research and is often undocumented in medical ...records. Despite agreement on the importance of work from well-being, health insurance, and financial perspectives, standardized approaches for collecting, measuring, and analyzing work outcomes are lacking in the health-care setting. The necessary components for closing the gap in patient and caregiver employment research in health-care settings involve a common set of measures, including those that replace or translate generic measures of mental and physical functioning into work outcomes in observational and clinical trial research, standardized approaches to data collection and documentation, and the use of longitudinal data to understand the consequences of reduced work ability over time. We present a conceptual framework for the inclusion of work ability in outcomes research. We cover constructs for employment and work ability measurement that can be adopted in research, recorded as patient-level data, and used to guide treatment decisions. The inclusion of return to work and hours worked, productivity, and ability to perform in a similar job can support conversations that guide treatment decisions and minimize economic consequences. Our hope is that by considering impact on work ability, improved treatments will be developed, health inequities reduced, and resources directed toward aiding patients and their caregivers in balancing work and health demands.
Rural-urban cancer disparities, including greater mortality rates, are partially attributable to the limited availability of oncology services in rural communities. Without these services, rural ...residents may experience delays in timely treatment and may be less likely to complete recommended care. The 340B Drug Pricing Program allows eligible not-for-profit and public hospitals to purchase covered outpatient drugs, including high-cost oncology drugs, at discounted prices. Using 2011-20 data, we evaluated the relationship between new enrollment in the 340B program and oncology services initiation in rural general acute care hospitals that lacked oncology services in 2011. Compared with hospitals that remained unenrolled in the 340B program through 2020, hospitals that enrolled during 2012-18 were 8.3 percentage points more likely to have added oncology services as of 2020. The newly participating hospitals that added oncology services were disproportionately located in Medicaid expansion states and in counties with lower uninsurance rates. These findings suggest that the 340B program facilitates expanded access to oncology services in some rural communities, but opportunities remain to address disparities in the most disadvantaged service areas.
Medical cost data often consist of zero values as well as extremely right-skewed positive values. A two-part model is a popular choice for analyzing medical cost data, where the first part models the ...probability of a positive cost using logistic regression and the second part models the positive cost using a lognormal or Gamma distribution. To address the unmeasured confounding in studies on cost outcome under two-part models, two instrumental variable (IV) methods, two-stage residual inclusion (2SRI) and two-stage prediction substitution (2SPS) are widely applied. However, previous literature demonstrated that both the 2SRI and the 2SPS could fail to consistently estimate the causal effect among compliers under standard IV assumptions for binary and survival outcomes. Our simulation studies confirmed that it continued to be the case for a two-part model, which is another nonlinear model. In this article, we develop a model-based IV approach, Instrumental Variable with Two-Part model (IV2P), to obtain a consistent estimate of the causal effect among compliers for cost outcome under standard IV assumptions. In addition, we develop sensitivity analysis approaches to allow the evaluation of the sensitivity of the causal conclusions to potential quantified violations of the exclusion restriction assumption and the randomization of IV assumption. We apply our method to a randomized cash incentive study to evaluate the effect of a primary care visit on medical cost among low-income adults newly covered by a primary care program.
Abstract
Background
Prior research demonstrated statistically significant racial disparities related to lung cancer treatment and outcomes. We examined differences in initial imaging and survival ...between blacks, Hispanics, and non-Hispanic whites.
Methods
The linked Surveillance, Epidemiology, and End Results-Medicare database between 2007 and 2015 was used to compare initial imaging modality for patients with lung cancer. Participants included 28 881 non-Hispanic whites, 3123 black, and 1907 Hispanics, patients age 66 years and older who were enrolled in Medicare fee-for-service and diagnosed with lung cancer. The primary outcome was comparison of positron emission tomography (PET) imaging with computerized tomography (CT) imaging use between groups. A secondary outcome was 12-month cancer-specific survival. Information on stage, treatment, and treatment facility was included in the analysis. Chi-square test and logistic regression were used to evaluate factors associated with imaging use. Kaplan-Meier method and Cox proportional hazards regression were used to calculate adjusted hazard ratios and survival. All statistical tests were two-sided.
Results
After adjusting for demographic, community, and facility characteristics, blacks were less likely to undergo PET or CT imaging at diagnosis compared with non-Hispanic whites odds ratio (OR) = 0.54 (95% confidence interval CI = 0.50 to 0.59; P < .001). Hispanics were also less likely to receive PET with CT imaging (OR = 0.72, 95% CI = 0.65 to 0.81; P < .001). PET with CT was associated with improved survival (HR = 0.61, 95% CI = 0.57 to 0.65; P < .001).
Conclusions
Blacks and Hispanics are less likely to undergo guideline-recommended PET with CT imaging at diagnosis of lung cancer, which may partially explain differences in survival. Awareness of this issue will allow for future interventions aimed at reducing this disparity.
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