Melanoma is among the top ten most common cancers in the US. The health care delivery system patients participate in may affect access to, and utilization of, health care resources that may determine health outcomes. Much of the current literature has addressed lighter-skinned populations since these individuals are at greatest risk of developing melanoma. This Dissertation is focused on melanoma in nonwhite populations and the effect of health care delivery and access to care on outcome. Specifically, our aims were to review the literature in the area of melanoma among nonwhite populations and compare the incidence of melanoma among nonwhite populations in Florida to the US. Additionally, we sought to determine the stage of melanoma diagnosis for a 12 year period in fee-for-service (FFS) and health maintenance organizations (HMO), to determine if differences in mortality exist between these systems of health care delivery and if established involvement in a health care delivery system may, in part, be responsible for any differences seen in stage of diagnosis and survival. We found non-Hispanic black (NHB) females and Hispanic males in Florida had significantly higher incidence rates of invasive melanoma than their counterparts in the US, 60% and 20% respectively. We also found that Hispanic Medicare patients enrolled in HMO health care delivery systems were less likely to receive a diagnosis of regional versus earlier stages of melanoma compared to Hispanic patients enrolled in FFS systems. Additionally, non-Hispanic white (NHW) Medicare patients enrolled in HMO health care delivery systems were less likely to be diagnosed at a later stage of melanoma compared to NHW patients enrolled in FFS systems. Targeted educational interventions and earlier detection of melanoma are fundamental components of cancer prevention and control efforts aimed at decreasing mortality. More comprehensive medical training, expanded public education campaigns, and increased awareness among patients of all skin types to perform self-skin checks are highly recommended. Further studies elucidating the etiology and risk factors for melanoma among minority populations are needed. We recommend investigation of possible differences in the etiology of melanoma among darker-skinned individuals as well as differences between health care delivery systems.

Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily African American, exhibits rates of breast cancer mortality that are among the highest in the city and higher than the state as a whole. Based on information that up to 50% of women in North St. Louis with a suspicious diagnosis of breast cancer never enter treatment, we conducted three 2-hour group model building sessions with 34 community stakeholders (e.g., breast cancer survivors or family members or caregivers and community support members such as navigators) to identify the reasons why African American women do not begin or delay breast cancer treatment. Participant sessions produced a very rich and dynamic causal loop diagram of the system producing disparities in breast cancer mortality in St. Louis. The diagram includes 8 major subsystems, causal links between system factors, and feedback loops, all of which shed light on treatment delays/initiation. Our work suggests that numerous intersecting factors contribute to not seeking treatment, which in turn may contribute to African American and white disparities in mortality.

A primary reason geospatial approaches are important in cancer research is that health and disease are shaped not only by factors such as age, race/ethnicity, genes, and clinical care but also by the environment where individuals work and act. While the use of geospatial approaches in cancer research is growing, several limitations remain. For example, for most population-based studies, cancer patients' neighborhood environments are based on only a single location derived from the residence at the time of diagnosis.This dissertation aimed to address this limitation by using a unique dataset of colon cancer patients diagnosed in New Jersey that include residential histories obtained through a data linkage with LexisNexis, a commercial data collection company. By incorporating residential histories, I moved beyond a cross-sectional approach to examine how residential histories and socio-spatial mobility can change a patient’s geographic context over time and influence survival. To demonstrate the application of these data in this dissertation, I completed three case studies. In the first case study, I compared whether including residential histories changed the risk of death estimates by neighborhood poverty compared to the traditional approach when including only the location at the time of diagnosis. Results suggested that the risk of death estimates from neighborhood poverty were generally similar in strength and direction regardless of residential histories inclusion. This finding was likely a result of minimal socio-spatial mobility of colon cancer patients (i.e., patients generally moving to census tracts with similar poverty levels). The second study aimed to compare the geographic risk of death estimates when using single location and residential histories in spatial models. Results overall showed that the geographic patterns of the risk of death estimates were generally similar between the models. However, not accounting for residential mobility resulted in underestimated geographic risk of death in several areas. This finding was related to the fact that approximately 35% of the colon cancer patients changed the residency, and 12% of the initial study population left New Jersey after the diagnosis. In the third case study, I examined whether landscape characteristics (e.g., built environment) were associated with the risk of death from colon cancer independent of individual-level factors, residential mobility, and neighborhood poverty. The results indicated that an increasing proportion of high-intensity developed-lands substantially increased the risk of death, while an increase in the aggregation and connectivity of vegetation-dominated low-intensity developed-lands reduced the risk of death. These findings suggested that places lacking greenspaces could have worse access to recreational sites that promote physical activity. Overall, this dissertation expands our knowledge about the geographic disparities in colon cancer in New Jersey. It also provides specific examples of integrating residential histories and remote sensing-based products into cancer disparities research. Including residential histories opens up new avenues of inquiry to better understand the complex relationships between people and places, and the effect of residential mobility on cancer outcomes. Combining multiple socio-demographic and environmental domains to estimate the neighborhood effects on cancer outcomes will increase our potential to understand the underlying pathways. / Geography

Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily African American, exhibits rates of breast cancer mortality that are among the highest in the city and higher than the state as a whole. Based on information that up to 50% of women in North St. Louis with a suspicious diagnosis of breast cancer never enter treatment, we conducted three 2-hour group model building sessions with 34 community stakeholders (e.g., breast cancer survivors or family members or caregivers and community support members such as navigators) to identify the reasons why African American women do not begin or delay breast cancer treatment. Participant sessions produced a very rich and dynamic causal loop diagram of the system producing disparities in breast cancer mortality in St. Louis. The diagram includes 8 major subsystems, causal links between system factors, and feedback loops, all of which shed light on treatment delays/initiation. Our work suggests that numerous intersecting factors contribute to not seeking treatment, which in turn may contribute to African American and white disparities in mortality.

Breast cancer is a serious illness that often has fatal consequences. Adherence to the recommendations for breast cancer surveillance is poorly practiced among African American women. The purpose of this phenomenological study was to seek individual professed barriers to breast cancer screening among African American women to better understand why breast cancer continues to be one of the principal basis of mortality among African American women. The theoretical framework for this study was the behavioral model of health services use. Purposeful selection was used to invite 14 African American women to participate in the in-depth interview process. Interview data were transcribed and then coded for recurring themes and meaning. The findings of this study demonstrate that these women's perceived barriers to breast cancer screening were lack of information, a belief that genetics dictates who gets breast cancer, embarrassment, a norm of people not going for health checkups, the procedure of breast cancer screening, and fear. Participants noted that the improved method of mammography may promote utilization within the population. Breast cancer disparities among African American women may decline if healthcare providers promote awareness of the availability and accessibility of breast cancer prevention resources and if African American women understand the barriers to breast cancer prevention and change their own screening practices.

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