Mental Illness in Adults With HIV and HCV Infection: Indian Health Service, 2001-2020.

INTRODUCTION: Mental health disorders (MHDs) and substance use disorders (SUDs) in people living with HIV, hepatitis C virus (HCV) infection, and HIV/HCV coinfection are common and result in significant morbidity. However, there are no national prevalence estimates of these comorbidities in American Indian and Alaska Native (AI/AN) adults with HIV, HCV infection, or HIV/HCV coinfection. This study estimates the prevalence of MHD and SUD diagnoses in AI/AN adults diagnosed with HIV, HCV infection, or HIV/HCV coinfection within the Indian Health Service (IHS). METHODS: In 2021, a cross-sectional study using data from the National Patient Information Reporting System was completed to identify MHD or SUD diagnoses in AI/AN adults with HIV, HCV infection, or HIV/HCV coinfection within the IHS during fiscal years 2001‒2020. Logistic regression was used to compare the odds of MHD or SUD diagnoses, adjusting for age and sex. RESULTS: Of AI/AN adults diagnosed with HIV, hepatitis C virus infection, or HIV/HCV coinfection, the period prevalence of MHD or SUD diagnoses ranged from 57.2% to 81.1%. Adjusting for age and sex, individuals with HCV infection had higher odds of receiving a MHD diagnosis (AOR=1.57; 95% CI=1.47, 1.68) or SUD diagnosis (AOR=3.40; 95% CI=3.18, 3.65) than those with HIV, and individuals with HIV/HCV coinfection had higher odds of receiving a MHD diagnosis (AOR=1.60; 95% CI=1.35, 1.89) or SUD diagnosis (AOR=2.81; 95% CI=2.32, 3.41) than those with HIV. CONCLUSIONS: MHD and SUD diagnoses were common in AI/AN adults diagnosed with HIV, HCV infection, or HIV/HCV coinfection, highlighting the need for culturally appropriate screening and treatment programs sensitive to the diverse strengths of AI/AN populations and structural challenges they endure.

Hepatitis C drug prescriptions and Medicaid policies--four states, Indian health care system, USA 2018.

Medicaid, the state-level public insurance in the United States, has widely differing criteria treatment for hepatitis C virus (HCV) such as stage of liver fibrosis, documented sobriety, and specialist consultation. In a rural health network, facilities located in two less restrictive states prescribed HCV drugs at a significantly higher rate than two more restrictive states (rate ratio 4.7, CI 2.6-8.5). Prescription rates per population were highly associated with HCV treatment policies.

Assessing Disparities in the Rates of HCV Diagnoses Within American Indian or Alaska Native Populations Served by the U.S. Indian Health Service, 2005-2015.

Hepatitis C virus (HCV) disproportionately affects American Indians/Alaska Natives (AI/AN). The Indian Health Service (IHS), via federal and tribal health facilities provides medical services to an estimated 2.2 million AI/AN people in the United States. HCV diagnoses, defined by International Classification of Diseases 9th Revision, Clinical Modification (ICD-9-CM) codes, were analyzed from 2005 to 2015. Results showed 29,803 patients with an HCV diagnosis; 53.4% were among persons born 1945-1965 and overall HCV burden was higher among males than females. These data will help inform local, regional, and national efforts to address, plan for and carry out a national strategy to provide treatment for HCV infected patients and programs to prevent new HCV infections.

Assessing New Diagnoses of HIV Among American Indian/Alaska Natives Served by the Indian Health Service, 2005-2014.

OBJECTIVES: The objectives of this study were to use Indian Health Service (IHS) data from electronic health records to analyze human immunodeficiency virus (HIV) diagnoses among American Indian/Alaska Natives (AI/ANs) and to identify current rates and trends that can support data-driven policy implementation and resource allocation for this population. METHODS: We analyzed provider visit data from IHS to capture all AI/AN patients who met a definition of a new HIV diagnosis from 2005 through 2014 by using International Classification of Diseases, Ninth Revision, Clinical Modification codes. We calculated rates and trends of new HIV diagnoses by age, sex, region, and year per 100 000 AI/ANs in the IHS user population. RESULTS: A total of 2273 AI/ANs met the definition of newly diagnosed with HIV from 2005 through 2014, an average annual rate of 15.1 per 100 000 AI/ANs. Most (356/391) IHS health facilities recorded at least 1 new HIV diagnosis. The rate of new HIV diagnoses among males (21.3 per 100 000 AI/ANs) was twice as high as that among females (9.5 per 100 000 AI/ANs; rate ratio = 2.2; 95% confidence interval, 2.1-2.4); by age, rates were highest among those aged 20-54 for males and females. By region, the Southwest region had the highest number (n = 1016) and rate (19.9 per 100 000 AI/ANs) of new HIV diagnoses. Overall annual rates of new HIV diagnoses were stable from 2010 through 2014, although diagnosis rates increased among males ( P < .001) and those aged 15-19 ( P < .001), 45-59 ( P < .001), and 50-54 ( P = .01). CONCLUSIONS: New HIV diagnoses, derived from provider visit data, among AI/ANs were stable from 2010 through 2014. AI/ANs aged 20-54, particularly men, may benefit from increased HIV prevention and screening efforts. Additional services may benefit patients in regions with higher rates of new diagnoses and in remote settings in which reported HIV numbers are low.

Tribal linkage and race data quality for American Indians in a state cancer registry.

BACKGROUND: Racial misclassification of American Indian and Alaska Native (AI/AN) individuals as non-AI/AN in cancer registries presents problems for cancer surveillance, research, and public health practice. The aim of this study was to investigate the efficiency of tribal linkages in enhancing the quality of racial information in state cancer registries. METHODS: Registry Plus Link Plus 2.0 probabilistic record linkage software was used to link the Michigan state cancer registry data (1985-2004; 1,031,168 cancer cases) to the tribal membership roster (40,340 individuals) in July of 2007. A data set was created containing AI/AN cancer cases identified by the state registry, Indian Health Service (IHS) linkages, and tribal linkage. The differences between these three groups of individuals were compared by distribution of demographic, diagnostic, and county-level characteristics using multilevel analysis (conducted in 2007-2008). RESULTS: From 1995 to 2004, the tribal enrollment file showed linkages to 670 cancer cases (583 individuals) and the tribal linkage led to the identification of 190 AI/AN cancer cases (168 individuals) that were classified as non-AI/AN in the registry. More than 80% of tribal members were reported as non-AI/AN to the registry. Individuals identified by IHS or tribal linkages were different from those reported to be AI/AN in terms of stage at diagnosis, tumor confirmation, and characteristics of the county of diagnosis, including contract health services availability, tribal health services availability, and proportion of AI/AN residents. CONCLUSIONS: The data linkage between tribal and state cancer registry data sets improved racial classification validity of AI/AN Michigan cancer cases. Assessing tribal linkages is a simple, noninvasive way to improve the accuracy of state cancer data for AI/AN populations and to generate tribe-specific cancer information.

Steps to a HealthierUS Cooperative Agreement Program: foundational elements for program evaluation planning, implementation, and use of findings.

The Steps to a HealthierUS Cooperative Agreement Program (Steps Program) enables funded communities to implement chronic disease prevention and health promotion efforts to reduce the burden of diabetes, obesity, asthma, and related risk factors. At both the national and community levels, investment in surveillance and program evaluation is substantial. Public health practitioners engaged in program evaluation planning often identify desired outcomes, related indicators, and data collection methods but may pay only limited attention to an overarching vision for program evaluation among participating sites. We developed a set of foundational elements to provide a vision of program evaluation that informs the technical decisions made throughout the evaluation process. Given the diversity of activities across the Steps Program and the need for coordination between national- and community-level evaluation efforts, our recommendations to guide program evaluation practice are explicit yet leave room for site-specific context and needs. Staff across the Steps Program must consider these foundational elements to prepare a formal plan for program evaluation. Attention to each element moves the Steps Program closer to well-designed and complementary plans for program evaluation at the national, state, and community levels.