A multi-dimensional assessment of financial hardship of cancer patients using existing health system data.

BACKGROUND: Existing financial hardship screening does not capture the multifaceted and dynamic nature of the problem. The use of existing health system data is a promising way to enable scalable and sustainable financial hardship screening. METHODS: We used existing data from 303 adult patients with cancer at the University of Virginia Comprehensive Cancer Center (2016-2018). All received distress screening and had a valid financial assistance screening based solely on household size-adjusted income. We constructed a composite index that integrates multiple existing health system data (Epic, distress screening, and cancer registry) to assess comprehensive financial hardship (e.g., material conditions, psychological responses, and coping behaviors). We examined differences of at-risk patients identified by our composite index and by existing single-dimension criterion. Dynamics of financial hardship over time, by age, and cancer type, were examined by fractional probit models. RESULTS: At-risk patients identified by the composite index were generally younger, better educated, and had a higher annual household income, though they had lower health insurance coverage. Identified periods to intervene for most patients are before formal diagnosis, 2 years, and 6 years after diagnosis. Within 2 years of diagnosis and more than 4 years after diagnosis appear critical for subgroups of patients who may suffer from financial hardship disparities. CONCLUSION: Existing health system data provides opportunities to systematically measure and track financial hardship in a systematic, scalable and sustainable way. We find that the dimensions of financial hardship can exhibit different patterns over time and across patient subgroups, which can guide targeted interventions. The scalability of the algorithm is limited by existing data availability.

Cancer Prevention from the Viewpoint of UVA Comprehensive Cancer Center.

Prevention is a cornerstone of the guiding mission of the University of Virginia Comprehensive Cancer Center, which is "to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion." We find it useful to conceptualize different opportunities for cancer prevention using NCI's Health Behaviors Research Branch's multilevel translational framework. The latter considers three intersecting continuums: cancer control-from prevention through survivorship; translation-from basic sciences to dissemination and implementation; and level of influence or impact-from genetics to policy. An advantage of this heuristic is that "prevention" is inherently defined as an inter-programmatic concept cutting across basic, clinical, and population science research rather than solely as a programmatic domain of Population Sciences. Through the UVA community outreach and engagement, we apply this multilevel framework to mitigate the social determinants of cancer risk and outcomes that drive cancer inequities in our catchment area. Below, we provide examples of our prevention research and translation along the model continuums and focus on equity.

Cancer Prevention from the Viewpoint of UVA Comprehensive Cancer Center.

Prevention is a cornerstone of the guiding mission of the University of Virginia Comprehensive Cancer Center, which is "to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion." We find it useful to conceptualize different opportunities for cancer prevention using NCI's Health Behaviors Research Branch's multilevel translational framework. The latter considers three intersecting continuums: cancer control-from prevention through survivorship; translation-from basic sciences to dissemination and implementation; and level of influence or impact-from genetics to policy. An advantage of this heuristic is that "prevention" is inherently defined as an inter-programmatic concept cutting across basic, clinical, and population science research rather than solely as a programmatic domain of Population Sciences. Through the UVA community outreach and engagement, we apply this multilevel framework to mitigate the social determinants of cancer risk and outcomes that drive cancer inequities in our catchment area. Below, we provide examples of our prevention research and translation along the model continuums and focus on equity.

The Urban-Rural Disparities and Associated Factors of Health Care Utilization Among Cancer Patients in China.

Objective: This study aimed to examine the urban-rural disparities and associated factors of health care utilization among cancer patients in China. Methods: This study used the data collected from a cross-sectional survey conducted in China. A total of 1,570 cancer survivors from three urban districts and five rural counties were selected by using a multistage stratified random sampling method. We measured health care utilization with the way of cancer diagnosis, the number of hospitals visited, and receiving alternative therapies. Chi-square test was used to examine the differences between urban and rural cancer patients. Binary logistic regression analysis was performed to explore the determinants of health care utilization. Results: Among 1,570 participants, 84.1% were diagnosed with cancer after developing symptoms, 55.6% had visited two and above hospitals, and 5.7% had received alternative therapies. Compared with urban cancer patients, rural ones were more likely to be diagnosed with cancer after developing symptoms (χ2 = 40.04, p < 0.001), while they were less likely to visit more than one hospital (χ2 = 27.14, p < 0.001). Residence area (urban/rural), health insurance type, household income, age at diagnosis, tumor site, stage of tumor, and survival years were significantly associated with health care utilization of cancer patients (p < 0.01). Conclusions: Health care utilization was suboptimal among cancers patients in China. Rural cancer patients had less health care utilization including screenings and treatments than urban ones. Policymakers should implement specific strategies to ensure equitable utilization of cancer care. More attention should be paid to the disadvantaged groups and rural cancer patients. Prioritizing health resources allocation is needed to prevent, screen, and treat cancers in rural areas.

Risk of cancer death by comorbidity severity and use of adjuvant chemotherapy among women with locoregional breast cancer.

OBJECTIVES: To examine the associations of comorbidity and chemotherapy with breast cancer- and non-breast cancer-related death. MATERIALS AND METHODS: Included were women with invasive locoregional breast cancer diagnosed in 2004 from seven population-based cancer registries. Data were abstracted from medical records and verified with treating physicians when there were inconsistencies and missing information on cancer treatment. Comorbidity severity was quantified using the Adult Comorbidity Evaluation 27. Treatment guideline concordance was determined by comparing treatment received with the National Comprehensive Cancer Network guidelines. Kaplan-Meier method and multivariable Cox proportional hazards regressions were employed for statistical analyses. RESULTS: Of 5852 patients, 76% were under 70years old and 69% received guideline concordant adjuvant chemotherapy. Comorbidity was more prevalent in women age 70 and older (79% vs. 51%; p<0.001). After adjusting for tumor characteristics and treatment, severe comorbidity burden was associated with significantly higher cancer-related mortality in older patients (Hazard Ratio [HR]=2.38, 95% CI 1.08-5.24), but not in younger patients (HR=1.78, 95% CI 0.87-3.64). Among patients receiving guideline adjuvant chemotherapy, cancer-related mortality was significantly higher in older patients (HR=2.35, 95% CI 1.52-3.62), and those with severe comorbidity (HR=3.79, 95% CI 1.72-8.33). CONCLUSIONS: Findings suggest that, compared to women with no comorbidity, patients with breast cancer age 70 and older with severe comorbidity are at increased risk of dying from breast cancer, even after adjustment for adjuvant chemotherapy and other tumor and treatment differences. This information adds to risk-benefit discussions and emphasizes the need for further study of the role for adjuvant chemotherapy in these patient groups.

Clinical and Demographic Factors Associated With Receipt of Non Guideline-concordant Initial Therapy for Nonmetastatic Prostate Cancer.

OBJECTIVES: To determine the extent to which initial therapy for nonmetastatic prostate cancer was concordant with nationally recognized guidelines using supplemented cancer registry data and what factors were associated with receipt of nonguideline-concordant care. METHODS: Initial therapy for 8229 nonmetastatic prostate cancer cases diagnosed in 2004 from cancer registries in 7 states was abstracted as part of the Centers for Disease Control's Patterns of Care Breast and Prostate Cancer study conducted during 2007 to 2009. The National Comprehensive Cancer Network clinical practice guidelines version 1.2002 was used as the standard of care based on recurrence risk group and life expectancy (LE). A multivariable model was used to determine risk factors associated with receipt of nonguideline-concordant care. RESULTS: Nearly 80% with nonmetastatic prostate cancer received guideline-concordant care for initial therapy. Receipt of nonguideline-concordant care (including receiving either less aggressive therapy or more aggressive therapy than indicated) was related to older age, African American race/ethnicity, being unmarried, rural residence, and especially to being in the high recurrence risk group where receiving less aggressive therapy than indicated occurred more often than receiving more aggressive therapy (adjusted OR=4.2; 95% CL, 3.5-5.2 vs. low-risk group). Compared with life table estimates adjusted for comorbidity, physicians tended to underestimate LE. CONCLUSIONS: Receipt of less aggressive therapy than indicated among high-risk group men with >5-year LE based on life table estimates adjusted for comorbidity was a concern. Physicians may tend to underestimate 5-year survival among this group and should be alerted to the importance of recommending aggressive therapy when warranted. However, based on more recent guidelines, among those with low-risk disease, the proportion considered to be receiving less aggressive therapy than indicated may now be lower because active surveillance is now considered appropriate.

Influence of patient, physician, and hospital characteristics on the receipt of guideline-concordant care for inflammatory breast cancer.

PURPOSE: Inflammatory breast cancer (IBC) is an aggressive subtype of breast cancer for which treatments vary, so we sought to identify factors that affect the receipt of guideline-concordant care. METHODS: Patients diagnosed with IBC in 2004 were identified from the Breast and Prostate Cancer Data Quality and Patterns of Care Study, containing information from cancer registries in seven states. Variation in guideline-concordant care for IBC, based on National Comprehensive Cancer Network (NCCN) guidelines, was assessed according to patient, physician, and hospital characteristics. RESULTS: Of the 107 IBC patients in the study without distant metastasis at the time of diagnosis, only 25.8% received treatment concordant with guidelines. Predictors of non-concordance included patient age (≥70 years), non-white race, normal body mass index (BMI 18.5-25 kg/m(2)), patients with physicians graduating from medical school >15 years prior, and smaller hospital size (<200 beds). IBC patients survived longer if they received guideline-concordant treatment based on either 2003 (p=0.06) or 2013 (p=0.06) NCCN guidelines. CONCLUSIONS: Targeting factors associated with receipt of care that is not guideline-concordant may reduce survival disparities in IBC patients. Prompt referral for neoadjuvant chemotherapy and post-operative radiation therapy is also crucial.

Patterns of locoregional treatment for nonmetastatic breast cancer by patient and health system factors.

BACKGROUND: The purpose of this study was to examine local definitive therapy for nonmetastatic breast cancer with the Patterns of Care Breast and Prostate Cancer (POCBP) study of the National Program of Cancer Registries (Centers for Disease Control and Prevention). METHODS: POCBP medical record data were re-abstracted in 7 state/regional registry systems (Georgia, North Carolina, Kentucky, Louisiana, Wisconsin, Minnesota, and California) to verify data quality and assess treatment patterns in the population. National Comprehensive Cancer Network clinical practice treatment guidelines were aligned with American Joint Committee on Cancer staging at diagnosis to appraise care. RESULTS: Six thousand five hundred five of 9142 patients with registry-confirmed breast cancer were coded as having primary disease with stage 0 to IIIA tumors and were included in the study. Approximately 88% received guideline-concordant locoregional treatment. However, this outcome varied by age group: 92% of women < age 50 versus 80% of women ≥ age 70 years old received guideline care (P < 0.01). Characteristics that best discriminated receipt (no/yes) of guideline-concordant care in receiver operating curve analyses were the receipt of breast-conserving surgery (BCS) versus mastectomy (C = 0.70), patient age (C = 0.62), a greater tumor stage (C = 0.60), public insurance (C = 0.58), and the presence of at least mild comorbidity (C = 0.55). Radiation therapy (RT) after BCS was the most omitted treatment component causing nonconcordance in the study population. In multivariate regression, the effects of the treatment facility, ductal carcinoma in situ, race, and comorbidity on nonconcordant care differed by age group. CONCLUSIONS: Patterns of underuse of standard therapies for breast cancer vary by age group and BCS use, with which there is a risk of omission of RT.

The influence of diabetes severity on receipt of guideline-concordant treatment for breast cancer.

Diabetes severity may influence breast cancer treatment choices. We examined whether receipt of guideline-concordant breast cancer treatment varied with diabetes severity. Cancer registry data from seven states regarding 6,912 stage I-III breast cancers were supplemented by medical record abstraction and physician verification. We used logistic regression models to examine associations of diabetes severity with guideline-concordant locoregional treatment, adjuvant chemotherapy, and hormonal therapy adjusted for sociodemographics, comorbidity, and tumor characteristics. We defined guideline concordance using National Comprehensive Cancer Network guidelines, and diabetes and comorbidities using the Adult Comorbidity Evaluation-27 index. After adjustment, there was significant interaction of diabetes severity with age for locoregional treatment (p = 0.001), with many diabetic women under age 70 less frequently receiving guideline-concordant treatment than non-diabetic women. Among similarly aged women, guideline concordance was lower for women with mild diabetes in their late fifties through mid-sixties, and with moderate/severe diabetes in their late forties to early sixties. Among women in their mid-seventies to early eighties, moderate/severe diabetes was associated with increased guideline concordance. For adjuvant chemotherapy, moderate/severe diabetes was less frequently associated with guideline concordance than no diabetes [OR 0.58 (95 % CI 0.36-0.94)]. Diabetes was not associated with guideline-concordant hormonal treatment (p = 0.929). Some diabetic women were less likely to receive guideline-concordant treatment for stage I-III breast cancer than non-diabetic women. Diabetes severity was associated with lower guideline concordance for locoregional treatment among middle-aged women, and lower guideline concordance for adjuvant chemotherapy. Differences were not explained by comorbidity and may contribute to potentially worse breast cancer outcomes.

Benchmarks for value in cancer care: an analysis of a large commercial population.

PURPOSE: Cancer costs are increasing at an unprecedented rate. Key cost drivers include chemotherapy, hospital admissions/emergency room visits, and aggressive end-of-life care. We sought to evaluate these costs in a commercial payer population in collaboration with consultants from Milliman. PATIENTS AND METHODS: We used a retrospective analysis of Medstat 2007 to evaluate chemotherapy costs and use. Included patients had a cancer diagnosis; received chemotherapy during the evaluation period; had at least 1 day of coverage between January 1 and December 31, 2007 (medical and prescription coverage); was younger than age 70, and had active employment or was the spouse of an active employee. Costs are allowed amounts and are trended until 2009. Admission rates and emergency room visits are reported. Hospice use and chemotherapy during the last 14 and 30 days of life were also evaluated. RESULTS: In this commercial population of 14 million patients, 0.68% had claims for a cancer diagnosis; approximately 22% of those received chemotherapy during the study time period. Patients with cancer receiving chemotherapy averaged $111,000 per year in total medical and pharmacy costs. The average hospitalization rate for any reason was 1 admission/yr. Approximately 40% (or 0.4 admits/year) were identified as being chemotherapy related. Of the 3.5% of patients who died in the hospital, 51% received chemotherapy within 30 days of death. CONCLUSION: Understanding the costs of cancer care offers opportunities to formulate a strategic plan to control cancer costs and maintain quality care. Comprehensive cancer solutions to address the full spectrum of care will facilitate improved quality and patient outcomes.

Carotenoids and co-antioxidants in age-related maculopathy: design and methods.

Age-related macular degeneration (AMD), is the leading cause of blind registration in the Western World among individuals 65 years or older. Early AMD, a clinical state without overt functional loss, is said to be present clinically when yellowish deposits known as drusen and/or alterations of fundus pigmentation are seen in the macular retina. Although the etiopathogenesis of AMD remains uncertain, there is a growing body of evidence in support of the view that cumulative oxidative damage plays a causal role. Appropriate dietary antioxidant supplementation is likely to be beneficial in maintaining visual function in patients with AMD, and preventing or delaying the progression of early AMD to late AMD. The Carotenoids in Age-Related Maculopathy (CARMA) Study is a randomized and double-masked clinical trial of antioxidant supplementation versus placebo in 433 participants with either early AMD features of sufficient severity in at least one eye or any level of AMD in one eye with late AMD (neovascular AMD or central geographic atrophy) in the fellow eye. The aim of the CARMA Study is to investigate whether lutein and zeaxanthin, in combination with co-antioxidants (vitamin C, E, and zinc), has a beneficial effect on visual function and/or prevention of progression from early to late stages of disease. The primary outcome is improved or preserved distance visual acuity at 12 months. Secondary outcomes include improved or preserved interferometric acuity, contrast sensitivity, shape discrimination ability, and change in AMD severity as monitored by fundus photography. This article outlines the CARMA Study design and methodology, including its rationale.

The role of physician gender in the evaluation of the National Centers of Excellence in Women's Health: test of an alternate hypothesis.

A 2002 evaluation of the National Centers of Excellence in Women's Health (CoE) provided evidence that women receive higher-quality primary health care, as indicated by receipt of recommended preventive care and patient satisfaction, when they receive their care in comprehensive women's health centers. A potential rival explanation for the CoE evaluation findings, however, is that the higher quality of care in the CoE may be attributable to a predominance of female physicians in CoE settings. More women who receive health care in a CoE have a female regular physician and female physicians may provide more preventive health services. Additionally, women may self-select into the CoE because of their preference for female providers. This paper presents results of an analysis examining the role of physician gender in the CoE evaluation. Women seen in three CoE clinics and women seen in other settings in the same communities who had a female physician are compared to assess the CoE effect while controlled for physician gender. The findings confirm a positive CoE effect for many of the quality of care indicators that were observed in the original evaluation. Women seen in CoEs are more likely to receive physical breast examinations and mammograms (ages > or =50). In addition, positive CoE findings for counseling on domestic violence, sexually transmitted diseases, family or relationship concerns, and sexual function or concerns were upheld. The CoE model of care delivers advantages to women that are not explained by the greater number of female physicians in these settings.