Analysis of trends in health data collected over time can be affected by instantaneous changes in coding that cause sudden increases/decreases, or "jumps," in data. Despite these sudden changes, the underlying continuous trends can present valuable information related to the changing risk profile of the population, the introduction of screening, new diagnostic technologies, or other causes. The joinpoint model is a well-established methodology for modeling trends over time using connected linear segments, usually on a logarithmic scale. Joinpoint models that ignore data jumps due to coding changes may produce biased estimates of trends. In this article, we introduce methods to incorporate a sudden discontinuous jump in an otherwise continuous joinpoint model. The size of the jump is either estimated directly (the Joinpoint-Jump model) or estimated using supplementary data (the Joinpoint-Comparability Ratio model). Examples using ICD-9/ICD-10 cause of death coding changes, and coding changes in the staging of cancer illustrate the use of these models.

BACKGROUND: Cancer incidence rates for American Indian and Alaska Native (AI/AN) populations vary by geographic region in the United States. The purpose of this study is to examine cancer incidence rates and trends in the AI/AN population compared with the non-Hispanic white population in the United States for the years 2010 to 2015. METHODS: Cases diagnosed during 2010 to 2015 were identified from population-based cancer registries and linked with the Indian Health Service (IHS) patient registration databases to describe cancer incidence rates in non-Hispanic AI/AN persons compared with non-Hispanic whites (whites) living in IHS purchased/referred care delivery area counties. Age-adjusted rates were calculated for the 15 most common cancer sites, expressed per 100,000 per year. Incidence rates are presented overall as well as by region. Trends were estimated using joinpoint regression analyses. RESULTS: Lung and colorectal cancer incidence rates were nearly 20% to 2.5 times higher in AI/AN males and nearly 20% to nearly 3 times higher in AI/AN females compared with whites in the Northern Plains, Southern Plains, Pacific Coast, and Alaska. Cancers of the liver, kidney, and stomach were significantly higher in the AI/AN compared with the white population in all regions. We observed more significant decreases in cancer incidence rates in the white population compared with the AI/AN population. CONCLUSIONS: Findings demonstrate the importance of examining cancer disparities between AI/AN and white populations. Disparities have widened for lung, female breast, and liver cancers. IMPACT: These findings highlight opportunities for targeted public health interventions to reduce AI/AN cancer incidence.

The health and wellness of American Indians and Alaska Natives has steadily improved since the dark days of the mid-twentieth century, when population levels reached an all-time low and termination of sovereign status threatened tribal existence (1). During the past 50 years, the federal government’s extension of basic rights, such as the free exercise of religion, and activism, court victories, and deployment of tools for economic development by American Indians and Alaska Natives have ushered in a period of growth and resurgence. As sovereign peoples, however, American Indians and Alaska Natives have not escaped broader societal trends in health and disease, such as the epidemics of alcohol and tobacco use, the obesity epidemic that emerged in the late 1980s and 1990s and was followed by increases in rates of type 2 diabetes, and the challenges of opioid and other substance misuse that have plagued the country in the 20th and 21st centuries.

Across the lifespan, American Indian and Alaska Native (AI/AN) people have higher rates of chronic disease, injury, and premature death than some racial/ethnic groups in the United States (1,2). For example, AI/AN adults have a higher prevalence of obesity, are twice as likely to have diabetes, and are more likely to be current smokers than their non-Hispanic white counterparts (3). Rates of death due to stroke and heart disease are also higher among AI/ANs than among members of some racial and ethnic groups (4,5). | | Recognizing AI/AN communities have their own cultural strategies for chronic disease prevention and control, the Centers for Disease Control and Prevention (CDC) created the Good Health and Wellness in Indian Country (GHWIC) program to integrate the knowledge those communities possess into a coordinated approach to healthy living and chronic disease prevention. The program also sought to reinforce efforts in Indian Country to advance policy, systems, and environmental (PSE) improvements to make healthy choices easier for all community members.

The National Center for Chronic Disease Prevention and Health Promotion at the Centers for Disease Control and Prevention funds the agency's largest investment in Indian Country, Good Health and Wellness in Indian Country. This 5-year program, launched in 2014, supports American Indian and Alaska Native communities and tribal organizations to address chronic diseases and risk factors simultaneously and in coordination. This article describes the development, funding, and implementation of the program. Dialogue with tribal members and leaders helped shape the program, and unlike previous programs that funded a small number of tribes to work on specific diseases, this program funds multiple tribal entities to reach widely into Indian Country. Implementation included culturally developed and adapted practices and opportunities for peer sharing and problem solving. This program identified approaches useful for the Centers for Disease Control and Prevention, other federal agencies, or other organizations working with American Indians and Alaska Natives.

BACKGROUND: Stomach cancer was a leading cause of cancer-related deaths early in the 20th century and has steadily declined over the last century in the United States. Although incidence and death rates are now low, stomach cancer remains an important cause of morbidity and mortality in black, Asian and Pacific Islander, and American Indian/Alaska Native populations. METHODS: Data from the CONCORD-2 study were used to analyze stomach cancer survival among males and females aged 15 to 99 years who were diagnosed in 37 states covering 80% of the US population. Survival analyses were corrected for background mortality using state-specific and race-specific (white and black) life tables and age-standardized using the International Cancer Survival Standard weights. Net survival is presented up to 5 years after diagnosis by race (all, black, and white) for 2001 through 2003 and 2004 through 2009 to account for changes in collecting Surveillance, Epidemiology, and End Results Summary Stage 2000 data from 2004. RESULTS: Almost one-third of stomach cancers were diagnosed at a distant stage among both whites and blacks. Age-standardized 5-year net survival increased between 2001 to 2003 and 2004 to 2009 (26.1% and 29%, respectively), and no differences were observed by race. The 1-year, 3-year, and 5-year survival estimates were 53.1%, 33.8%, and 29%, respectively. Survival improved in most states. Survival by stage was 64% (local), 28.2% (regional), and 5.3% (distant). CONCLUSIONS: The current results indicate high fatality for stomach cancer, especially soon after diagnosis. Although improvements in stomach cancer survival were observed, survival remained relatively low for both blacks and whites. Primary prevention through the control of well-established risk factors would be expected to have the greatest impact on further reducing deaths from stomach cancer. Cancer 2017;123:4994-5013. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.

OBJECTIVES: To characterize the leading causes of death for the urban American Indian/Alaska Native (AI/AN) population and compare with urban White and rural AI/AN populations. METHODS: We linked Indian Health Service patient registration records with the National Death Index to reduce racial misclassification in death certificate data. We calculated age-adjusted urban AI/AN death rates for the period 1999-2009 and compared those with corresponding urban White and rural AI/AN death rates. RESULTS: The top-5 leading causes of death among urban AI/AN persons were heart disease, cancer, unintentional injury, diabetes, and chronic liver disease and cirrhosis. Compared with urban White persons, urban AI/AN persons experienced significantly higher death rates for all top-5 leading causes. The largest disparities were for diabetes and chronic liver disease and cirrhosis. In general, urban and rural AI/AN persons had the same leading causes of death, although urban AI/AN persons had lower death rates for most conditions. CONCLUSIONS: Urban AI/AN persons experience significant disparities in death rates compared with their White counterparts. Public health and clinical interventions should target urban AI/AN persons to address behaviors and conditions contributing to health disparities. (Am J Public Health. Published online ahead of print February 18, 2016: e1-e9. doi:10.2105/AJPH.2015.303033).

BACKGROUND: Colorectal cancer (CRC) is a significant cause of morbidity and mortality among American Indian/Alaska Native (AI/AN) people. Screening at recommended intervals can detect CRC in its early, most treatable stages, or prevent CRC through removal of precancerous polyps. However, CRC screening percentages remain low among AI/AN people. Reminder and tracking systems can be used to improve CRC screening percentages. PURPOSE: In this study we assessed the prevalence of CRC screening reminder and tracking systems in Indian Health Service (IHS), Tribal, or Urban (I/T/U) health facilities. METHODS: A telephone survey of randomly selected small, medium and large I/T/U health facilities nationwide was conducted. Three health facilities from each of the 12 IHS areas nationwide were selected from a list of I/T/U healthcare facilities that provide CRC screening or refer patients to another facility for screening, with the goal of having one small, one medium, and one large I/T/U health facility from each IHS area. RESULTS: Thirty-four facilities (94%) participated in the telephone survey between April 1 and September 24, 2010. All facilities used the IHS Resource and Patient Management System to manage their patient care, and 82% used the Electronic Health Record (EHR) version. Over half of these facilities (55%) performed in-office fecal occult blood tests (FOBT) collected during a digital rectal exam, all of which reported that they also sent FOBT cards home with patients. Fifty-three percent of facilities used an opportunistic, visit-based approach to CRC screening. Nearly a third (32%) of facilities reported using a reminder system to notify patients that they were due for CRC screening. Almost two-thirds (65%) of facilities used a reminder system to notify health care providers that patients were due for CRC screening. While 73% of facilities used a system to track whether patients were due for CRC screening, only 61% used a system to track patient results for CRC screening, and 42% used a system to track patients with a personal history of polyps or CRC. CONCLUSIONS: A majority of facilities performed in-office FOBT tests using a digital rectal exam, which is a practice that is contrary to national CRC screening recommendations. Additionally, the majority of facilities reported not using an organized system for CRC screening. Use of patient reminders was suboptimal. However, facilities did report use of provider reminders, tracking when patients were due for CRC screening, and tracking CRC screening results. As the EHR system becomes more widely used and established, I/T/U facilities could be encouraged to increase their use of the EHR tools available to aid in systematically increasing CRC screening percentages.

OBJECTIVES: We used improved data on American Indian and Alaska Native (AI/AN) ancestry to provide an updated and comprehensive description of cancer mortality and incidence among AI/AN populations from 1990 to 2009. METHODS: We linked the National Death Index and central cancer registry records independently to the Indian Health Service (IHS) patient registration database to improve identification of AI/AN persons in cancer mortality and incidence data, respectively. Analyses were restricted to non-Hispanic persons residing in Contract Health Service Delivery Area counties in 6 geographic regions of the United States. We compared age-adjusted mortality and incidence rates for AI/AN populations with White populations using rate ratios and mortality-to-incidence ratios. Trends were described using joinpoint analysis. RESULTS: Cancer mortality and incidence rates for AI/AN persons compared with Whites varied by region and type of cancer. Trends in death rates showed that greater progress in cancer control was achieved for White populations compared with AI/AN populations over the last 2 decades. CONCLUSIONS: Spatial variations in mortality and incidence by type of cancer demonstrated both persistent and emerging challenges for cancer control in AI/AN populations.

OBJECTIVES: We present regional patterns and trends in all-cause mortality and leading causes of death in American Indians and Alaska Natives (AI/ANs). METHODS: US National Death Index records were linked with Indian Health Service (IHS) registration records to identify AI/AN deaths misclassified as non-AI/AN. We analyzed temporal trends for 1990 to 2009 and comparisons between non-Hispanic AI/AN and non-Hispanic White persons by geographic region for 1999 to 2009. Results focus on IHS Contract Health Service Delivery Area counties in which less race misclassification occurs. RESULTS: From 1990 to 2009 AI/AN persons did not experience the significant decreases in all-cause mortality seen for Whites. For 1999 to 2009 the all-cause death rate in CHSDA counties for AI/AN persons was 46% more than that for Whites. Death rates for AI/AN persons varied as much as 50% among regions. Except for heart disease and cancer, subsequent ranking of specific causes of death differed considerably between AI/AN and White persons. CONCLUSIONS: AI/AN populations continue to experience much higher death rates than Whites. Patterns of mortality are strongly influenced by the high incidence of diabetes, smoking prevalence, problem drinking, and social determinants. Much of the observed excess mortality can be addressed through known public health interventions.

OBJECTIVES: We describe methods used to mitigate the effect of race misclassification in mortality records and the data sets used to improve mortality estimates for American Indians and Alaska Natives (AI/ANs). METHODS: We linked US National Death Index (NDI) records with Indian Health Service (IHS) registration records to identify AI/AN deaths misclassified as non-AI/AN deaths. Analyses excluded decedents of Hispanic origin and focused on Contract Health Service Delivery Area (CHSDA) counties. We compared death rates for AI/AN persons and Whites across 6 US regions. RESULTS: IHS registration records merged to 176 137 NDI records. Misclassification of AI/AN race in mortality data ranged from 6.3% in the Southwest to 35.6% in the Southern Plains. From 1999 to 2009, the all-cause death rate in CHSDA counties for AI/AN persons varied by geographic region and was 46% greater than that for Whites. Analyses for CHSDA counties resulted in higher death rates for AI/AN persons than in all counties combined. CONCLUSIONS: Improving race classification among AI/AN decedents strengthens AI/AN mortality data, and analyzing deaths by geographic region can aid in planning, implementation, and evaluation of efforts to reduce health disparities in this population.

BACKGROUND: Previous analyses indicated that New Mexican Hispanics and American Indians (AI) did not experience the declining colorectal cancer (CRC) incidence and mortality rates observed among non-Hispanic whites (NHW). We evaluated more recent data to determine whether racial/ethnic differences persisted. METHODS: We used New Mexico Surveillance Epidemiology and End Results data from 1995 to 2009 to calculate age-specific incidence rates and age-adjusted incidence rates overall and by tumor stage. We calculated mortality rates using National Center for Health Statistics' data. We used joinpoint regression to determine annual percentage change (APC) in age-adjusted incidence rates. Analyses were stratified by race/ethnicity and gender. RESULTS: Incidence rates continued declining in NHW (APC -1.45% men, -1.06% women), while nonsignificantly increasing for AI (1.67% men, 1.26% women) and Hispanic women (0.24%). The APC initially increased in Hispanic men through 2001 (3.33%, P = 0.06), before declining (-3.10%, P = 0.003). Incidence rates declined in NHW and Hispanics aged 75 and older. Incidence rates for distant-stage cancer remained stable for all groups. Mortality rates declined significantly in NHW and Hispanics. CONCLUSIONS: Racial/ethnic disparities in CRC persist in New Mexico. Incidence differences could be related to risk factors or access to screening; mortality differences could be due to patterns of care for screening or treatment.

PURPOSE: The human papillomavirus (HPV) vaccine is of particular importance in American Indian/Alaska Native women because of the higher rate of cervical cancer incidence compared to non-Hispanic white women. To better understand HPV vaccine knowledge, attitudes, and practices among providers working with American Indian/Alaska Native populations, we conducted a provider survey in Indian Health Service, Tribal and Urban Indian (I/T/U) facilities. METHODS: During December 2009 and January 2010, we distributed an on-line survey to providers working in I/T/U facilities. We also conducted semistructured interviews with a subset of providers. RESULTS: There were 268 surveys and 51 provider interviews completed. Providers were more likely to administer vaccine to 13-18-year-olds (96%) than to other recommended age groups (89% to 11-12-year-olds and 64% to 19-26-year-olds). Perceived barriers to HPV vaccination for 9-18-year-olds included parental safety and moral/religious concerns. Funding was the main barrier for 19-26-year-olds. Overall, providers were very knowledgeable about HPV, although nearly half of all providers and most obstetricians/gynecologists thought that a pregnancy test should precede vaccination. Sixty-four percent of providers of patients receiving the vaccine do not routinely discuss the importance of cervical cancer screening. CONCLUSIONS: Recommendations for HPV vaccination have been broadly implemented in I/T/U settings. Vaccination barriers identified by I/T/U providers are similar to those reported in other provider surveys. Provider education efforts should stress that pregnancy testing is not needed before vaccination and the importance of communicating the need for continued cervical cancer screening.

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.

BACKGROUND: Studies on colorectal cancer (CRC) screening and incidence among American Indian/Alaska Natives (AI/AN) are few. AIMS: Our aim was to determine CRC screening prevalence and to calculate CRC incidence among AI/AN receiving care within the Indian Health Service (IHS). METHODS: A retrospective cohort study of AI/AN who utilized IHS from 1996 to 2004. AI/AN who were average-risk for CRC and received primary care within IHS were identified by searching the IHS Resource Patient Management System for selected ICD-9/CPT codes (n = 142,051). CRC screening prevalence was calculated and predictors of screening were determined for this group. CRC incidence rates were ascertained for the entire AI/AN population ages 50-80 who received IHS medical care between 1996 and 2004 (n = 283,717). RESULTS: CRC screening was performed in 4.0% of average-risk AI/AN. CRC screening was more common among women than men (RR = 1.6, 95% CI 1.4-1.7) and among AI/AN living in the Alaska region compared to the Pacific Coast region (RR = 2.5, 95% CI 2.2-2.8) while patients living in the Northern Plains (RR = 0.4, 95% CI 0.3-0.4) were less likely to have been screened. CRC screening was less common among patients with a greater number of primary care visits. The age-adjusted CRC incidence among AI/AN ages 50-80 was 227 cancers per 100,000 person-years. CONCLUSIONS: CRC was common among AI/AN receiving medical care within IHS. However, CRC screening prevalence was far lower than has been reported for the U.S. population.