Using the Community Readiness Model to Assess American Indian Communities Readiness to Address Cancer Prevention and Control Programs.

Cancer disparities continue among American Indian and Alaska Native (AI/AN) populations while they have decreased among other racial and ethnic groups. No studies were found that utilized the Community Readiness Model (CRM) to ascertain the readiness of Tribal and American Indian organizations to participate in cancer research and cancer prevention and control initiatives. The Partnership for Native American Cancer Prevention conducted an assessment of the status of American Indian communities' readiness to implement activities for prevention, early detection, and treatment to improve AI/AN cancer rates. The assessment was a component of the Community Outreach Core of the grant. Thirty-four key Informants participated in the interview process. The Community Readiness Assessment (CRA) provided a baseline assessment of community partners' readiness to participate in cancer research and programming. Despite years of cancer intervention programs, the communities were classified as being in the early stages of readiness [1-5] of the nine-stage model. Additionally, findings showed low levels of awareness of previous or ongoing cancer research. The findings in prevention and control efforts indicated a need for technical assistance and funding to support community projects in prevention and control. This supported the implementation of a community grants initiative. They also indicated that communities were not ready to conduct research, despite ongoing cancer related research in at least two communities. Communication tools and social media methods and messages were developed to increase awareness of cancer as a health concern and cancer research in the community. The CRM informed these and other engagement activities to meet the appropriate stage of readiness for each Tribe/community, and to build their capacity to participate in cancer research and programming activities.

With socioeconomic status controlled, cigarette use is lower among American Indians/Alaska Natives than whites.

BACKGROUND: Higher crude prevalence of cigarette use among American Indians/Alaska Natives (AI/AN) than non-Hispanic whites (NHW) has helped engender an assumption that race/ethnicity explains the difference. This study examines whether being AI/AN versus NHW predicts greater use when socioeconomic status and demographics are controlled. METHODS: Data came from the National Survey on Drug Use and Health (2013-2017). Using logistic regressions with socioeconomic (income, education) and demographic (gender, age, marital status) controls, differences between AI/AN (n = 4,305) and NHW (n = 166,348) regarding heavier cigarette use (past month daily use, past month use of 300+ cigarettes, and nicotine dependence) and current cigarette use (past month use plus 100+ cigarettes in lifetime) were assessed. Adjusted predicted probabilities were also constructed. RESULTS: NHW, compared to AI/AN, had greater odds of daily use: adjusted odds ratio (AOR) = 1.23 (95% CI: 1.03-1.49); predicted probabilities-15.3% and 13.0%, respectively. NHW had greater odds of using 300+ cigarettes: AOR = 1.47 (CI: 1.19-1.83); predicted probabilities-13.6% and 9.9%. NHW had greater odds of being nicotine dependent: AOR = 1.57 (CI: 1.31-1.89); predicted probabilities-10.3% and 7.1%. A difference in current use was not found. As controls, income and education were especially impactful. CONCLUSIONS: With controls, particularly for socioeconomic status, heavier cigarette use was lower among AI/AN than NHW, and a current cigarette use difference was not indicated. This contradicts the idea that being AI/AN versus NHW independently predicts greater cigarette use, and it underscores the importance of socioeconomic status for understanding cigarette use among AI/AN.

Indigenous mortality (revealed): the invisible illuminated.

Inaccuracies in the identification of Indigenous status and the collection of and access to vital statistics data impede the strategic implementation of evidence-based public health initiatives to reduce avoidable deaths. The impact of colonization and subsequent government initiatives has been commonly observed among the Indigenous peoples of Australia, Canada, New Zealand, and the United States. The quality of Indigenous data that informs mortality statistics are similarly connected to these distal processes, which began with colonization. We discuss the methodological and technical challenges in measuring mortality for Indigenous populations within a historical and political context, and identify strategies for the accurate ascertainment and inclusion of Indigenous people in mortality statistics.

Geographic variation in trends and characteristics of teen childbearing among American Indians and Alaska Natives, 1990-2007.

To study teen birth rates, trends, and socio-demographic and pregnancy characteristics of AI/AN across geographic regions in the US. The birth rate for US teenagers 15-19 years reached a historic low in 2009 (39.1 per 1,000) and yet remains one of the highest teen birth rates among industrialized nations. In the US, teen birth rates among Hispanic, non-Hispanic black, and American Indian/Alaska Native (AI/AN) youth are consistently two to three times the rate among non-Hispanic white teens. Birth certificate data for females younger than age 20 were used to calculate birth rates (live births per 1,000 women) and joinpoint regression to describe trends in teen birth rates by age (<15, 15-17, 18-19) and region (Aberdeen, Alaska, Bemidji, Billings, California, Nashville, Oklahoma, Portland, Southwest). Birth rates for AI/AN teens varied across geographic regions. Among 15-19-year-old AI/AN, rates ranged from 24.35 (California) to 123.24 (Aberdeen). AI/AN teen birth rates declined from the early 1990s into the 2000s for all three age groups. Among 15-17-year-olds, trends were approximately level during the early 2000s-2007 in six regions and declined in the others. Among 18-19-year-olds, trends were significantly increasing during the early 2000s-2007 in three regions, significantly decreasing in one, and were level in the remaining regions. Among AI/AN, cesarean section rates were lower in Alaska (4.1%) than in other regions (16.4-26.6%). This is the first national study to describe regional variation in AI/AN teen birth rates. These data may be used to target limited resources for teen pregnancy intervention programs and guide research.

Breast cancer incidence among American Indian and Alaska Native women: US, 1999-2004.

BACKGROUND: Breast cancer is a leading cause of cancer morbidity and mortality among American Indian and Alaska Native (AI/AN) women. Although published studies have suggested that breast cancer rates among AI/AN women are lower than those among other racial and ethnic populations, accurate determinations of the breast cancer burden have been hampered by misclassification of AI/AN race. METHODS: Cancer incidence data from the National Program of Cancer Registries and the Surveillance, Epidemiology, and End Results Program were combined to estimate age-adjusted rates for the diagnosis years 1999 through 2004. Several steps were taken to reduce the misclassification of AI/AN race: linking cases to Indian Health Service (IHS) patient services database, restricting analyses to Contract Health Service Delivery Area counties, and stratifying results by IHS region. RESULTS: Breast cancer incidence rates among AI/AN women varied nearly 3-fold across IHS regions. The highest rates were in Alaska (134.8) and the Plains (Northern, 115.9; Southern, 115.7), and the lowest rates were in the Southwest (50.8). The rate in Alaska was similar to the rate among non-Hispanic white (NHW) women in Alaska. Overall, AI/AN women had lower rates of breast cancer than NHW women, but AI/AN women were more likely to be diagnosed with late-stage disease. CONCLUSIONS: To the authors' knowledge, this report provides the most comprehensive breast cancer incidence data for AI/AN women to date. The wide regional variation indicates an important need for etiologic and health services research, and the large percentage of AI/AN women with late-stage disease demands innovative approaches for increasing access to screening.

Stage of change advancement for diabetes self-management behaviors and glucose control.

PURPOSE: This study was conducted to evaluate whether patients with type 2 diabetes who participated in diabetes education advanced through stages of change for self-management behaviors and to determine if movement was related to glucose control. METHODS: A cohort of 428 patients with type 2 diabetes participated in a traditional diabetes education program in a large urban center in the Southwest. The sample was predominantly female with less than a high school education, a mean age of 52 years, and a mean duration of diabetes of 7 years. Two interviews were conducted approximately 9 months apart, at 1 to 4 weeks before the educational program and at 6 months after completing it. Blood specimens were collected at each interview to measure hemoglobin A1C (A1C) levels. RESULTS: Most of the patients advanced 1 or more stages of change for at least 1 self-management behavior. Those with diabetes for less than 2 years were significantly more likely to advance at least 1 stage of change for diet and exercise than those with diabetes for more than 2 years. Such advancement was significantly associated with a decline in A1C. CONCLUSIONS: Patients with type 2 diabetes who participated in diabetes education advanced through stages of change for self-care behaviors. The intervention was more effective for those with a shorter duration of diabetes.