The Integration of Value Assessment and Social Network Methods for Breast Health Navigation Among African Americans.

OBJECTIVES: A major strategy to reduce the impact of breast cancer (BC) among African Americans (AA) is patient navigation, defined here as individualized assistance for reducing barriers to healthcare use. The primary focus of this study was to estimate the added value of incorporating breast health promotion by navigated participants and the subsequent BC screenings that network members may obtain. METHODS: In this study, we compared the cost-effectiveness of navigation across 2 scenarios. First, we examine the effect of navigation on AA participants (scenario 1). Second, we examine the effect of navigation on AA participants and their networks (scenario 2). We leverage data from multiple studies in South Chicago. Our primary outcome (BC screening) is intermediate, given limited available quantitative data on the long-term benefits of BC screening for AA populations. RESULTS: When considering participant effects alone (scenario 1), the incremental cost-effectiveness ratio was $3845 per additional screening mammogram. When including participant and network effects (scenario 2), the incremental cost-effectiveness ratio was $1098 per additional screening mammogram. CONCLUSION: Our findings suggest that inclusion of network effects can contribute to a more precise, comprehensive assessment of interventions for underserved communities.

Policy Recommendations for Improving Rural Cancer Services in the United States.

Compared with urban residents, rural Americans have seen slower declines in cancer deaths, have lower incidence but higher death rates from cancers that can be prevented through screening, have lower screening rates, are more likely to present with later-stage cancers, and have poorer cancer outcomes and lower survival. Rural health provider shortages and lack of cancer services may explain some disparities. The literature was reviewed to identify factors contributing to rural health care capacity shortages and propose policy recommendations for improving rural cancer care. Uncompensated care, unfavorable payer mix, and low patient volume impede rural physician recruitment and retainment. Students from rural areas are more likely to practice there but are less likely to attend medical school because of lower graduation rates, grades, and Medical College Admission Test (MCAT) scores versus urban students. The cancer care infrastructure is costly and financially challenging in rural areas with high proportions of uninsured and publicly insured patients. A lack of data on oncology providers and equipment impedes coordinated efforts to address rural shortages. Graduate Medical Education funding greatly favors large, urban, tertiary care teaching hospitals over residency training in rural, critical access and community-based hospitals and clinics. Policies have the potential to transform rural health care. This includes increasing advanced practice provider postgraduate oncology training opportunities and expanding the scope of practice; improving health workforce and services data collection and aggregation; transforming graduate medical education subsidies to support rural student recruitment and rural training opportunities; and expanding federal and state financial incentives and payments to support the rural cancer infrastructure.

Patient Navigation Can Improve Breast Cancer Outcomes among African American Women in Chicago: Insights from a Modeling Study.

African American (AA) women experience much greater mortality due to breast cancer (BC) than non-Latino Whites (NLW). Clinical patient navigation is an evidence-based strategy used by healthcare institutions to improve AA women's breast cancer outcomes. While empirical research has demonstrated the potential effect of navigation interventions for individuals, the population-level impact of navigation on screening, diagnostic completion, and stage at diagnosis has not been assessed. An agent-based model (ABM), representing 50-74-year-old AA women and parameterized with locally sourced data from Chicago, is developed to simulate screening mammography, diagnostic resolution, and stage at diagnosis of cancer. The ABM simulated three counterfactual scenarios: (1) a control setting without any navigation that represents the "standard of care"; (2) a clinical navigation scenario, where agents receive navigation from hospital-affiliated staff; and (3) a setting with network navigation, where agents receive clinical navigation and/or social network navigation (i.e., receiving support from clinically navigated agents for breast cancer care). In the control setting, the mean population-level screening mammography rate was 46.3% (95% CI: 46.2%, 46.4%), the diagnostic completion rate was 80.2% (95% CI: 79.9%, 80.5%), and the mean early cancer diagnosis rate was 65.9% (95% CI: 65.1%, 66.7%). Simulation results suggest that network navigation may lead up to a 13% increase in screening completion rate, 7.8% increase in diagnostic resolution rate, and a 4.9% increase in early-stage diagnoses at the population-level. Results suggest that systems science methods can be useful in the adoption of clinical and network navigation policies to reduce breast cancer disparities.

Navigated African American breast cancer patients as incidental change agents in their family/friend networks.

BACKGROUND: Patient navigation is an increasingly widespread intervention to address the persistent, severe, and disproportionate breast cancer (BC) burden that African Americans (AA) face. Navigation may have more widespread effects than previously estimated due to patient-driven diffusion of BC information. METHODS: This pilot study examined the network effects of a randomized controlled trial via recruitment of navigated and non-navigated AA BC patients as well as their network members. We estimated study arm differences in patient BC promotion (i.e., number of individuals to whom BC patients promote BC screening) and network BC screening (i.e., % BC screening among network members). RESULTS: Among our sample of 100 AA BC patients, navigated patients promoted BC screening to more individuals than non-navigated patients. BC patients were more likely to promote BC screening to children and individuals with whom they communicated more frequently. Some models further suggested more network BC screening among "navigated" network members relative to "non-navigated" network members. CONCLUSIONS: Navigated AA patients promoted BC screening more widely throughout their networks than non-navigated AA BC patients. There were also suggestive findings regarding increased BC screening among their network members. Our pilot study highlights the potential for social network analysis to improve the precision of intervention effect estimates and to inform future innovations (e.g., integrating navigation and network-based interventions) with multilevel effects on cancer health disparities.

The association between breast cancer capacity and resources with incidence and mortality in Arizona's low populous counties.

INTRODUCTION: While cancer deaths have decreased nationally, declines have been much slower in rural areas than in urban areas. Previous studies on rural cancer service capacity are limited to specific points along the cancer care continuum (eg screening, diagnosis or treatment) and require updating to capture the current rural health landscape since implementation of the 2010 Affordable Care Act in the USA. The association between current rural cancer service capacity across the cancer care continuum and cancer incidence and death is unclear. This cross-sectional study explored the association between breast cancer service capacity and incidence and mortality in Arizona's low populous counties. METHODS: To measure county-level cancer capacity, clinical organizations operating within low populous areas of Arizona were surveyed to assess on-site breast cancer services provided (screening, diagnosis and treatment) and number of healthcare providers were pulled from Centers for Medicare and Medicaid Services National Provider Identifier database. The number of clinical sites and healthcare providers were converted to county-level per capita rates. Rural-Urban Continuum codes were used to designate rural or urban county status. Age-adjusted county-level breast cancer incidence and death rates from 2010 to 2016 were obtained from the Arizona Department of Health Services, Arizona Cancer Registry. Descriptive statistics were used to summarize the results. Multivariate regression was used to evaluate the association between cancer service capacity and incidence and mortality in 13 out of Arizona's 15 counties. RESULTS: Rural counties had more per capita clinical sites (20.4) than urban counties (8.9) (p=0.02). Urban counties had more per capita pathologists (1.0) than rural counties (0) (p≤0.01). In addition to zero pathologists, rural counties had zero medical oncologists. Rural county status was associated with a decrease in breast cancer incidence (β=-20.1, 95% confidence interval: -37.2-3.1). CONCLUSION: While Arizona's sparsely populated rural counties may have more physical infrastructure per capita, these services are dispersed over vast geographic areas. They lack specialists providing cancer services. Non-physician clinical providers may be more prevalent in rural areas and represent opportunities for improving access to cancer preventive services and care. Compared to urban counties, rural county status was associated with lower detected breast cancer incidence rates although there were no statistically significant differences in breast cancer mortality. Other factors may contribute to rural-urban differences in breast cancer incidence. Future research should explore these factors and the association between cancer capacity and local resources because the use of county-level data represents a challenge in Arizona, where counties average over 19 425 km2 (7500 square miles).

Comparison and impact of COVID-19 for patients with cancer: a survival analysis of fatality rate controlling for age, sex and cancer type.

OBJECTIVES: Prior research has reported an increased risk of fatality for patients with cancer, but most studies investigated the risk by comparing cancer to non-cancer patients among COVID-19 infections, where cancer might have contributed to the increased risk. This study is to understand COVID-19's imposed HR of fatality while controlling for covariates, such as age, sex, metastasis status and cancer type. METHODS: We conducted survival analyses of 4606 cancer patients with COVID-19 test results from 16 March to 11 October 2020 in UK Biobank and estimated the overall HR of fatality with and without COVID-19 infection. We also examined the HRs of 13 specific cancer types with at least 100 patients using a stratified analysis. RESULTS: COVID-19 resulted in an overall HR of 7.76 (95% CI 5.78 to 10.40, p<10-10) by following 4606 patients with cancer for 21 days after the tests. The HR varied among cancer type, with over a 10-fold increase in fatality rate (false discovery rate ≤0.02) for melanoma, haematological malignancies, uterine cancer and kidney cancer. Although COVID-19 imposed a higher risk for localised versus distant metastasis cancers, those of distant metastases yielded higher overall fatality rates due to their multiplicative effects. DISCUSSION: The results confirmed prior reports for the increased risk of fatality for patients with COVID-19 plus hematological malignancies and demonstrated similar findings of COVID-19 on melanoma, uterine, and kidney cancers. CONCLUSION: The results highlight the heightened risk that COVID-19 imposes on localised and haematological cancer patients and the necessity to vaccinate uninfected patients with cancer promptly, particularly for the cancer types most influenced by COVID-19. Results also suggest the importance of timely care for patients with localised cancer, whether they are infected by COVID-19 or not.

Development and Evaluation of a Navigation-Based, Multilevel Intervention to Improve the Delivery of Timely, Guideline-Adherent Adjuvant Therapy for Patients With Head and Neck Cancer.

PURPOSE: More than half of patients with head and neck squamous cell carcinoma (HNSCC) experience a delay initiating guideline-adherent postoperative radiation therapy (PORT), contributing to excess mortality and racial disparities in survival. However, interventions to improve the delivery of timely, equitable PORT among patients with HNSCC are lacking. This study (1) describes the development of NDURE (Navigation for Disparities and Untimely Radiation thErapy), a navigation-based multilevel intervention (MLI) to improve guideline-adherent PORT and (2) evaluates its feasibility, acceptability, and preliminary efficacy. METHODS: NDURE was developed using the six steps of intervention mapping (IM). Subsequently, NDURE was evaluated by enrolling consecutive patients with locally advanced HNSCC undergoing surgery and PORT (n = 15) into a single-arm clinical trial with a mixed-methods approach to process evaluation. RESULTS: NDURE is a navigation-based MLI targeting barriers to timely, guideline-adherent PORT at the patient, healthcare team, and organizational levels. NDURE is delivered via three in-person navigation sessions anchored to case identification and surgical care transitions. Intervention components include the following: (1) patient education, (2) travel support, (3) a standardized process for initiating the discussion of expectations for PORT, (4) PORT care plans, (5) referral tracking and follow-up, and (6) organizational restructuring. NDURE was feasible, as judged by accrual (88% of eligible patients [100% Blacks] enrolled) and dropout (n = 0). One hundred percent of patients reported moderate or strong agreement that NDURE helped solve challenges starting PORT; 86% were highly likely to recommend NDURE. The rate of timely, guideline-adherent PORT was 86% overall and 100% for Black patients. CONCLUSION: NDURE is a navigation-based MLI that is feasible, is acceptable, and has the potential to improve the timely, equitable, guideline-adherent PORT.

Barriers to the Delivery of Timely, Guideline-Adherent Adjuvant Therapy Among Patients With Head and Neck Cancer.

PURPOSE: Delays initiating guideline-adherent postoperative radiation therapy (PORT) in head and neck squamous cell carcinoma (HNSCC) are common, contribute to excess mortality, and are a modifiable target for improving survival. However, the barriers that prevent the delivery of timely, guideline-adherent PORT remain unknown. This study aims to identify the multilevel barriers to timely, guideline-adherent PORT and organize them into a conceptual model. MATERIALS AND METHODS: Semi-structured interviews with key informants were conducted with a purposive sample of patients with HNSCC and oncology providers across diverse practice settings until thematic saturation (n = 45). Thematic analysis was performed to identify the themes that explain barriers to timely PORT and to develop a conceptual model. RESULTS: In all, 27 patients with HNSCC undergoing surgery and PORT were included, of whom 41% were African American, and 37% had surgery and PORT at different facilities. Eighteen clinicians representing a diverse mix of provider types from 7 oncology practices participated in key informant interviews. Five key themes representing barriers to timely PORT were identified across 5 health care delivery levels: (1) inadequate education about timely PORT, (2) postsurgical sequelae that interrupt the tight treatment timeline (both intrapersonal level), (3) insufficient coordination and communication during care transitions (interpersonal and health care team levels), (4) fragmentation of care across health care organizations (organizational level), and (5) travel burden for socioeconomically disadvantaged patients (community level). CONCLUSION: This study provides a novel description of the multilevel barriers that contribute to delayed PORT. Interventions targeting these multilevel barriers could improve the delivery of timely, guideline-adherent PORT and decrease mortality for patients with HNSCC.

Leveraging system sciences methods in clinical trial evaluation: An example concerning African American women diagnosed with breast cancer via the Patient Navigation in Medically Underserved Areas study.

BACKGROUND: Systems science methodologies offer a promising assessment approach for clinical trials by: 1) providing an in-silico laboratory to conduct investigations where purely empirical research may be infeasible or unethical; and, 2) offering a more precise measurement of intervention benefits across individual, network, and population levels. We propose to assess the potential of systems sciences methodologies by quantifying the spillover effects of randomized controlled trial via empirical social network analysis and agent-based models (ABM). DESIGN/METHODS: We will evaluate the effects of the Patient Navigation in Medically Underserved Areas (PNMUA) study on adult African American participants diagnosed with breast cancer and their networks through social network analysis and agent-based modeling. First, we will survey 100 original trial participants (50 navigated, 50 non-navigated) and 150 of members of their social networks (75 from navigated, 75 non-navigated) to assess if navigation results in: 1) greater dissemination of breast health information and breast healthcare utilization throughout the trial participants' networks; and, 2) lower incremental costs, when incorporating navigation effects on trial participants and network members. Second, we will compare cost-effectiveness models, using a provider perspective, incorporating effects on trial participants versus trial participants and network members. Third, we will develop an ABM platform, parameterized using published data sources and PNMUA data, to examine if navigation increases the proportion of early stage breast cancer diagnoses. DISCUSSION: Our study results will provide promising venues for leveraging systems science methodologies in clinical trial evaluation.

A Comparison of Different Intensities of Patient Navigation After Abnormal Mammography.

Background. Patient navigation is a practice strategy to address barriers to timely diagnosis and treatment of cancer. The aim of this study was to examine the effectiveness of varying intensities of patient navigation and timely diagnostic resolution after abnormal mammography. Method. This is a secondary analysis of a subset of women with an abnormal screening or diagnostic mammogram who participated in the "patient navigation in medically underserved areas" 5-year randomized trial. We compared timely diagnostic resolution in women assigned to different intensities of patient navigation including, full navigation intervention, no contact with navigators, or limited contact with navigators. Results. The sample included 1,725 women with abnormal mammogram results. Women who interacted with patient navigators had significantly fewer days to diagnostic resolution after abnormal mammography compared with women who did not interact with patient navigators. Discussion. Results from our study suggest that even limited contact with navigators encourages women to seek more timely diagnostic resolution after an abnormal mammogram, which may offer a low-cost practice strategy to improve timely diagnosis for disadvantaged and underserved women.

Gendered and racialized social expectations, barriers, and delayed breast cancer diagnosis.

BACKGROUND: Black women are more likely to be diagnosed at a later stage of breast cancer in part due to barriers to timely screening mammography, resulting in poorer mortality and survival outcomes. Patient navigation that helps to overcome barriers to the early detection of breast cancer is an effective intervention for reducing breast cancer disparity. However, the ability to recognize and seek help to overcome barriers may be affected by gendered and racialized social expectations of women. METHODS: Data from a randomized controlled trial, the Patient Navigation in Medically Underserved Areas study, were used. The likelihood of obtaining a follow-up screening mammogram was compared between women who identified ≥1 barriers and those who did not. RESULTS: Of the 3754 women who received the Patient Navigation in Medically Underserved Areas navigation intervention, approximately 14% identified ≥ 1 barriers, which led to additional navigator contacts. Consequently, those women who reported barriers were more likely to obtain a subsequent screening mammogram. Black women, women living in poverty, and women with a higher level of distrust were less likely to report barriers. CONCLUSIONS: Minority women living in poverty have always been the source of social support for others. However, gendered and racialized social expectations may affect the ways in which women seek help for their own health needs. A way to improve the effectiveness of navigation would be to recognize how minority women's gender images and expectations could shape how they seek help and support. A report of no barriers does not always translate into no problems. Proactive approaches to identify potential barriers may be beneficial.

Patient Navigation Improves Subsequent Breast Cancer Screening After a Noncancerous Result: Evidence from the Patient Navigation in Medically Underserved Areas Study.

BACKGROUND: Past efforts to assess patient navigation on cancer screening utilization have focused on one-time uptake, which may not be sufficient in the long term. This is partially due to limited resources for in-person, longitudinal patient navigation. We examine the effectiveness of a low-intensity phone- and mail-based navigation on multiple screening episodes with a focus on screening uptake after receiving noncancerous results during a previous screening episode. METHODS: The is a secondary analysis of patients who participated in a randomized controlled patient navigation trial in Chicago. Participants include women referred for a screening mammogram, aged 50-74 years, and with a history of benign/normal screening results. Navigation services focused on identification of barriers and intervention via shared decision-making processes. A multivariable logistic regression intent-to-treat model was used to examine differences in odds of obtaining a screening mammogram within 2 years of the initial mammogram (yes/no) between navigated and non-navigated women. Sensitivity analyses were conducted to explore patterns across subsets of participants (e.g., navigated women successfully contacted before the initial appointment; women receiving care at Hospital C). RESULTS: The final sample included 2,536 women (741 navigated, 1,795 non-navigated). Navigated women exhibited greater odds of obtaining subsequent screenings relative to women in the standard care group in adjusted models and analyses including women who received navigation before the initial appointment. CONCLUSIONS: Our findings suggest that low-intensity navigation services can improve follow-up screening among women who receive a noncancerous result. Further investigation is needed to confirm navigation's impacts on longitudinal screening.

Patient Navigation in Medically Underserved Areas study design: A trial with implications for efficacy, effect modification, and full continuum assessment.

BACKGROUND: The Patient Navigation in Medically Underserved Areas study objectives are to assess if navigation improves: 1) care uptake and time to diagnosis; and 2) outcomes depending on patients' residential medically underserved area (MUA) status. Secondary objectives include the efficacy of navigation across 1) different points of the care continuum among patients diagnosed with breast cancer; and 2) multiple regular screening episodes among patients who did not obtain breast cancer diagnoses. DESIGN/METHODS: Our randomized controlled trial was implemented in three community hospitals in South Chicago. Eligible participants were: 1) female, 2) 18+years old, 3) not pregnant, 4) referred from a primary care provider for a screening or diagnostic mammogram based on an abnormal clinical breast exam. Participants were randomized to 1) control care or 2) receive longitudinal navigation, through treatment if diagnosed with cancer or across multiple years if asymptomatic, by a lay health worker. Participants' residential areas were identified as: 1) established MUA (before 1998), 2) new MUA (after 1998), 3) eligible/but not designated as MUA, and 4) affluent/ineligible for MUA. Primary outcomes include days to initially recommended care after randomization and days to diagnosis for women with abnormal results. Secondary outcomes concern days to treatment initiation following a diagnosis and receipt of subsequent screening following normal/benign results. DISCUSSION: This intervention aims to assess the efficacy of patient navigation on breast cancer care uptake across the continuum. If effective, the program may improve rates of early cancer detection and breast cancer morbidity.

Achieving Health Equity: Closing The Gaps In Health Care Disparities, Interventions, And Research.

In the United States, racial/ethnic minority, rural, and low-income populations continue to experience suboptimal access to and quality of health care despite decades of recognition of health disparities and policy mandates to eliminate them. Many health care interventions that were designed to achieve health equity fall short because of gaps in knowledge and translation. We discuss these gaps and highlight innovative interventions that help address them, focusing on cardiovascular disease and cancer. We also provide recommendations for advancing the field of health equity and informing the implementation and evaluation of policies that target health disparities through improved access to care and quality of care.

Impact of Patient Navigation Interventions on Timely Diagnostic Follow Up for Abnormal Cervical Screening.

OBJECTIVE: As part of the Patient Navigation Research Program, we examined the effect of patient navigation versus usual care on timely diagnostic follow-up, defined as clinical management for women with cervical abnormalities within accepted time frames. METHODS: Participants from four Patient Navigation Research Program centers were divided into low- and high-risk abnormality groups and analyzed separately. Low-risk participants (n = 2088) were those who enrolled with an initial Pap test finding of atypical squamous cells of undetermined significance (ASCUS) with a positive high-risk human papillomavirus (HPV) serotype, atypical glandular cells, or low-grade squamous intraepithelial lesion (LGSIL). High-risk participants were those with an initial finding of high-grade squamous intraepithelial lesion (HGSIL) (n = 229). A dichotomous outcome of timely diagnostic follow-up within 180 days was used for the low-risk abnormality group and timely diagnostic follow-up within 60 days for the high-risk group, consistent with treatment guidelines. A logistic mixed-effects regression model was used to evaluate the intervention effect using a random effect for study arm within an institution. A backward selection process was used for multivariable model building, considering the impact of each predictor on the intervention effect. RESULTS: Low-risk women in the patient navigation arm showed an improvement in the odds of timely diagnostic follow-up across all racial groups, but statistically significant effects were only observed in non-English-speaking Hispanics (OR 5.88, 95% CI 2.81-12.29). No effect was observed among high-risk women. CONCLUSION: These results suggest that patient navigation can improve timely diagnostic follow-up among women with low-risk cervical abnormalities, particularly in non-English-speaking Hispanic women.

Medical mistrust and patient satisfaction with mammography: the mediating effects of perceived self-efficacy among navigated African American women.

BACKGROUND: Medical mistrust is salient among African American women, given historic and contemporary racism within medical settings. Mistrust may influence satisfaction among navigated women by affecting women's perceptions of their health-care self-efficacy and their providers' roles in follow-up of abnormal test results. OBJECTIVES: To (i) examine whether general medical mistrust and health-care self-efficacy predict satisfaction with mammography services and (ii) test the mediating effects of health-related self-efficacy. DESIGN: The current study is a part of a randomized controlled patient navigation trial for medically underserved women who had received a physician referral to obtain a mammogram in three community hospitals in Chicago, IL. After consent, 671 African American women with no history of cancer completed questionnaires concerning medical mistrust and received navigation services. After their mammography appointment, women completed health-care self-efficacy and patient satisfaction questionnaires. RESULTS: Women with lower medical mistrust and greater perceived self-efficacy reported greater satisfaction with care. Medical mistrust was directly and indirectly related to patient satisfaction through self-efficacy. CONCLUSIONS: Preliminary findings suggest future programmes designed to increase health-care self-efficacy may improve patient satisfaction among African American women with high levels of medical mistrust. Our findings add to a growing body of literature indicating the importance of self-efficacy and active participation in health care, especially among the underserved.

Patient barriers to follow-up care for breast and cervical cancer abnormalities.

BACKGROUND: Women with breast or cervical cancer abnormalities can experience barriers to timely follow-up care, resulting in delays in cancer diagnosis. Patient navigation programs that identify and remove barriers to ensure timely receipt of care are proliferating nationally. The study used a systematic framework to describe barriers, including differences between African American and Latina women; to determine recurrence of barriers; and to examine factors associated with barriers to follow-up care. METHODS: Data originated from 250 women in the intervention arm of the Chicago Patient Navigation Research Program (PNRP). The women had abnormal cancer screening findings and navigator encounters. Women were recruited from a community health center and a publicly owned medical center. After describing proportions of African American and Latina women experiencing particular barriers, logistic regression was used to explore associations between patient characteristics, such as race/ethnicity, and type of barriers. RESULTS: The most frequent barriers occurred at the intrapersonal level (e.g., insurance issues and fear), while institutional-level barriers such as system problems with scheduling care were the most commonly recurring over time (29%). The majority of barriers (58%) were reported in the first navigator encounter. Latinas (81%) reported barriers more often than African American women (19%). Differences in race/ethnicity and employment status were associated with types of barriers. Compared to African American women, Latinas were more likely to report an intrapersonal level barrier. Unemployed women were more likely to report an institutional level barrier. CONCLUSION: In a sample of highly vulnerable women, there is no single characteristic (e.g., uninsured) that predicts what kinds of barriers a woman is likely to have. Nevertheless, navigators appear able to easily resolve intrapersonal-level barriers, but ongoing navigation is needed to address system-level barriers. Patient navigation programs can adopt the PNRP barriers framework to assist their efforts in assuring timely follow-up care.

Utilizing Exploratory Spatial Data Analysis to Examine Health and Environmental Disparities in Disadvantaged Neighborhoods.

Health disparities research has focused primarily on racial and socioeconomic differences in health outcomes. Although neighborhood characteristics and the concept of built environment have been shown to affect individual health, measuring the effects of environmental risks on health has been a less developed area of disparities research. To examine spatial associations and the distribution of geographic patterns of sociodemographic characteristics, environmental cancer risk, and cancer rates, we utilized existing data from multiple sources. The findings from our initial analysis, which concerned with proximity to environmental hazards and at-risk communities, were consistent with results of previous studies, which often reported mixed relationships between health disparity indicators and environmental burden. However, further analysis with refined models showed that several key demographic and subdomains of cancer risk measures were shown to have spatial components. With the application of exploratory spatial data analysis, we were able to identify areas with both high rates of poverty and racial minorities to further examine for possible associations to environmental cancer risk. Global spatial autocorrelation found spatial clustering with percent black, percent poverty, point and non-point cancer risks requiring further spatial analysis to determine relationship of significance based on geography. This methodology was based upon particular assumptions associated with data and applications, which needed to be met. We conclude that careful assessment of the data and applications were required to properly interpret the findings in understanding the relationship between vulnerable populations and environmental burden.

Follow-up and timeliness after an abnormal cancer screening among underserved, urban women in a patient navigation program.

BACKGROUND: We evaluated the efficacy of a Chicago-based cancer patient navigation program developed to increase the proportion of patients reaching diagnostic resolution and reduce the time from abnormal screening test to definitive diagnostic resolution. METHODS: Women with an abnormal breast (n = 352) or cervical (n = 545) cancer screening test were recruited for the quasi-experimental study. Navigation subjects originated from five federally qualified health center sites and one safety net hospital. Records-based concurrent control subjects were selected from 20 sites. Control sites had similar characteristics to the navigated sites in terms of patient volume, racial/ethnic composition, and payor mix. Mixed-effects logistic regression and Cox proportional hazard regression analyses were conducted to compare navigation and control patients reaching diagnostic resolution by 60 days and time to resolution, adjusting for demographic covariates and site. RESULTS: Compared with controls, the breast navigation group had shorter time to diagnostic resolution (aHR = 1.65, CI = 1.20-2.28) and the cervical navigation group had shorter time to diagnostic resolution for those who resolved after 30 days (aHR = 2.31, CI = 1.75-3.06), with no difference before 30 days (aHR = 1.42, CI = 0.83-2.43). Variables significantly associated with longer time to resolution for breast cancer screening abnormalities were being older, never partnered, abnormal mammogram and BI-RADS 3, and being younger and Black for cervical abnormalities. CONCLUSIONS: Patient navigation reduces time from abnormal cancer finding to definitive diagnosis in underserved women. IMPACT: Results support efforts to use patient navigation as a strategy to reduce cancer disparities among socioeconomically disadvantaged women.