Assessing cancer stage and screening disparities among Native American cancer patients.

OBJECTIVE: Disparities in cancer-related health outcomes exist among Native Americans. This article assesses barriers to timely and effective cancer care among Native American cancer patients. METHODS: We conducted a community-based participatory survey of newly diagnosed cancer patients to assess their basic knowledge of cancer screening and their beliefs about cancer management. Sociodemographic and cancer-related information was obtained from medical records. Mean scores for correct answers to the screening knowledge battery were tabulated and analyzed by race/ethnicity and sociodemographic characteristics. Multivariable regression models were used to adjust for sociodemographic characteristics in evaluating the association between screening knowledge and race/ethnicity. RESULTS: The survey response rate was 62%. Of 165 patients, 52 were Native American and 113 were white. Native Americans with cancers for which a screening test is available presented with significantly higher rates of advanced-stage cancer (p=0.04). Native Americans scored lower on the cancer screening knowledge battery (p=0.0001). In multivariable analyses adjusting for age, gender, income, education level, employment status, and geographic distance from the cancer center, Native American race/ethnicity was the only factor significantly predictive of lower screening knowledge. Native Americans expressed more negative attitudes toward cancer treatment in some of the items regarding impacts and burden of cancer treatment. CONCLUSIONS: Native American cancer patients presented with higher rates of advanced-stage disease for screening-detectable cancers, lower levels of basic cancer screening knowledge, and more negative attitudes about cancer treatment than white patients. Public health interventions regarding screening and cancer education are needed.

Medical mistrust and less satisfaction with health care among Native Americans presenting for cancer treatment.

PURPOSE: To assess barriers to cancer care among Native Americans, whose health outcomes compare unfavorably with those of the general U.S. population. METHODS AND PATIENTS: We undertook a comparative community-based participatory research project in which newly-diagnosed cancer patients were prospectively surveyed using novel scales for medical mistrust and satisfaction with health care. Socio-demographic information was obtained. Mean scale scores for mistrust and satisfaction were analyzed by race. Multivariable models were used to adjust for income, education level, and distance lived from cancer care institute. RESULTS: Participation refusal rate was 38%. Of 165 eligible patients, 52 were Native American and 113 where non-Hispanic White. Native Americans expressed significantly higher levels of mistrust (p=0001) and lower levels of satisfaction (p=.0001) with health care than Whites. In multivariable analyses, race was the only factor found to be significantly predictive of higher mistrust and lower satisfaction scores. CONCLUSION: Native Americans exhibit higher medical mistrust and lower satisfaction with health care.

Establishing a patient navigator program to reduce cancer disparities in the American Indian communities of Western South Dakota: initial observations and results.

BACKGROUND: American Indians (AIs) in the Northern Plains region suffer disproportionately high cancer mortality rates compared with the general US population and with AIs from other regions in the United States. METHODS: The National Cancer Institute developed the Cancer Disparity Research Partnership to address these inequities. This initiative in Rapid City, South Dakota, attempts to lower cancer mortality rates for AIs by access to innovative clinical trials, behavioral research, and a genetic study. Patient navigation is a critical part of the program. Two navigation strategies are described: navigators at the cancer center and navigators on each reservation. A retrospective analysis was performed to determine if navigated patients (n = 42) undergoing potentially curative radiotherapy had fewer treatment interruptions compared with nonnavigated patients (n = 74). RESULTS: A total of 213 AIs with cancer have undergone patient navigation. For those undergoing cancer treatment, the median number of patient navigation interactions was 15 (range 1 to 95), whereas for those seen in follow-up after their cancer treatment, the median number of contacts was 4 (range 1 to 26). AIs who received navigation services during curative radiation treatment had on average 3 fewer days of treatment interruptions compared to AIs who did not receive navigation services during curative radiation treatment (P = .002, N = 116). CONCLUSIONS: Early findings suggest that patient navigation is a critical component in addressing cancer disparities in this population. The program has established trust with individual cancer patients, with the tribal councils, and with the general population on each of the three reservations of western South Dakota.