The use of patient navigation to transition detoxification patients to substance use treatment in the Alaska Interior.

Objectives: Detoxification clinics manage acute intoxication and withdrawal from alcohol and other drugs. At discharge, patients are referred to treatment, yet many are readmitted to detoxification, creating a "revolving door" of discharges and admissions. This pattern disproportionately affects some groups such as Alaska Native and American Indian (AN/AI) people. The primary goals of this study are to: 1) test the effectiveness of a patient navigation intervention to increase rates of transition to alcohol treatment following detoxification, and 2) prevent readmission to detoxification within 12-months. The secondary goal is a cost-effectiveness and cost-benefit evaluation of patient navigation. Study design: This randomized controlled comparative effectiveness trial plans to recruit 440 patients (∼70% AN/AI) admitted to alcohol detoxification. We collaborated with Fairbanks Native Association (FNA) to select an appropriate intervention, control condition, and other study-related decisions. Here, we describe intervention development, study design, challenges encountered during implementation, and collaborative processes to identify solutions. Methods: Participants are equally randomized to the control (one motivational interviewing session) or intervention (one motivational interviewing session plus up to four weeks of patient navigation). The primary outcomes are successful transition to alcohol treatment within 30-days after discharge and detoxification readmission within 12-months. The secondary outcome is health-related quality of life. Conclusion: Patient navigation is successful in other settings and for other health conditions. It may assist in overcoming barriers to successful transition to substance use treatment and may augment interventions, such as motivational interviewing, that are less resource-intensive but may not be optimally effective by themselves. ClinicalTrialsgov Identifier: NCT03737864.

Classification of Students by Race and Hispanic/Latino/a/x Ethnicity Impacts Estimates of the Prevalence of Substance Use.

Multiracial and Hispanic/Latino/a/x youth are rapidly growing populations in the United States. When considered in substance use studies, they are often treated as homogeneous groups despite important demographic and cultural differences. The current study explores how substance use prevalence may differ depending on how precisely race and ethnicity groups are categorized. Data are from the 2018 High School Maryland Youth Risk Behavior Survey (n = 41,091, 48.4% female). We estimate prevalence of past 30-day substance use (i.e., alcohol, combustible tobacco, e-cigarettes, and marijuana) for all combinations of race and Hispanic/Latino/a/x ethnicity. Substance use prevalence across the specific Multiracial and Hispanic/Latino/a/x categories showed a wider range of estimates than within the traditional CDC racial and ethnic categories. Findings from this study suggest that state- and national-level surveillance of adolescent risk behavior should add further measures of race and ethnic identity to improve researchers' ability to increase precision of substance use prevalence estimates.

Factors associated with readmission to alcohol and opioid detoxification in the Alaska Interior.

BACKGROUND AND OBJECTIVES: A "revolving door" of repeated admissions to detoxification treatment facilities has long plagued alcohol and drug use patients, yet few studies examine factors associated with readmission. This study examined risk factors for readmission to alcohol and opioid detoxification in a sample from the Alaska Interior. METHODS: Data were extracted from electronic medical records for admissions between 2012 and 2016 at an inpatient detoxification facility in Fairbanks, Alaska. Data from 1014 patients admitted for alcohol detoxification and 267 patients admitted for opioid detoxification were analyzed. The analysis employed descriptive statistics for risk factors (substance use history, adverse life experiences, and psychosocial functioning) and prevalence of readmission to either alcohol or opioid detoxification. Inferential analyses used marginal standardization to calculate differences in readmission risk by patient characteristics. RESULTS: Male, Alaska Native/American Indian, single-never married patients, and those seeking work were at higher risk for readmission to alcohol detoxification, while those with stable housing were at reduced risk. Being single-never married and completing detoxification treatment reduced readmission to opioid detoxification. Family involvement in detoxification reduced readmission risk for both alcohol and opioid patients. DISCUSSION AND CONCLUSIONS: Further research that investigates the mechanism(s) by which family may act as a protective factor may be efficacious in eliminating the "revolving door" of detoxification. SCIENTIFIC SIGNIFICANCE: This study is the first to examine both alcohol and opioid use risk and protective factors in the Alaska Interior. The results can be used in the development of interventions for subpopulations with high detoxification readmission rates.

Diabetes Prevention and Care Capacity at Urban Indian Health Organizations.

American Indian and Alaska Native (AI/AN) people suffer a disproportionate burden of diabetes and cardiovascular disease. Urban Indian Health Organizations (UIHOs) are an important source of diabetes services for urban AI/AN people. Two evidence-based interventions-diabetes prevention (DP) and healthy heart (HH)-have been implemented and evaluated primarily in rural, reservation settings. This work examines the capacity, challenges and strengths of UIHOs in implementing diabetes programs. Methods: We applied an original survey, supplemented with publicly-available data, to assess eight organizational capacity domains, strengths and challenges of UIHOs with respect to diabetes prevention and care. We summarized and compared (Fisher's and Kruskal-Wallis exact tests) items in each organizational capacity domain for DP and HH implementers vs. non-implementers and conducted a thematic analysis of strengths and challenges. Results: Of the 33 UIHOs providing services in 2017, individuals from 30 sites (91% of UIHOs) replied to the survey. Eight UIHOs (27%) had participated in either DP (n = 6) or HH (n = 2). Implementers reported having more staff than non-implementers (117.0 vs. 53.5; p = 0.02). Implementers had larger budgets, ~$10 million of total revenue compared to $2.5 million for non-implementers (p = 0.01). UIHO strengths included: physical infrastructure, dedicated leadership and staff, and community relationships. Areas to strengthen included: staff training and retention, ensuring sufficient and consistent funding, and data infrastructure. Conclusions: Strengthening UIHOs across organizational capacity domains will be important for implementing evidence-based diabetes interventions, increasing their uptake, and sustaining these interventions for AI/AN people living in urban areas of the U.S.

Health outcomes in a national sample of American Indian and Alaska Native adults: Differences between multiple-race and single-race subgroups.

OBJECTIVES: To determine differences among multi-race (MR) American Indian and Alaska Natives (AIAN), single race (SR) AIANs, and SR-Whites on multiple health outcomes. We tested the following hypotheses: MR-AIANs will have worse health outcomes than SR-AIANs; SR-AIANs will have worse health outcomes than SR-Whites; MR-AIANs will have worse health outcomes than SR-Whites. METHODS: Behavioral Risk Factor Surveillance System data were used to examine general health, risk behaviors, access to health care, and diagnosed chronic health conditions. Those identifying as SR-White, SR-AIAN, and MR-AIAN were included in multinomial logistic regression models. RESULTS: Compared to SR-AIANs, MR-AIANs had more activity limitations, a greater likelihood of experiencing cost as a barrier to health care and were more likely to be at increased risk and diagnosed with more chronic health conditions. Both SR and MR-AIANs have worse health than SR-Whites; MR-AIANs appear to be at increased risk for poor health. CONCLUSIONS: The current study examined access to health care and nine chronic health conditions, neither of which have been considered in prior work. MR AIANs are at increased risk compared to SR groups. These observations beg for further inquire into the mechanisms underlying these differences including stress related to identify, access to care, and discrimination. Findings support the continued need to address health disparities among AIANs regardless of SR or MR identification.

Rural and Urban American Indian and Alaska Native Veteran Health Disparities: a Population-Based Study.

The health service ecology varies considerably across urban-rural divides for American Indian and Alaska Native (AIAN) veterans, which may place rural AIAN veterans at high risk for poor health outcomes. Using the Behavioral Risk Factor Surveillance System 2011 and 2012 data for its detailed race information, we employed adjusted multinomial logistical regression analyses to estimate differences in health outcomes among rural AIAN veterans (n = 1500) and urban AIAN veterans (n = 1567). We used rural White (n = 32,316) and urban White (n = 59,849) veteran samples as comparators. No statistically significant differences between urban and rural AIAN veterans' health outcomes were found. Urban AIAN veterans were 72% more likely to report financial barriers to care compared with urban White veterans (P = .002); no other healthcare access differences were found. Compared with their White veteran counterparts, both urban and rural AIAN veterans were significantly more likely to report poorer physical and mental health across an array of outcomes. Overall, rural and urban AIAN veterans' health outcomes were similar, but both groups suffered compromised health compared with that of both rural and urban White veterans. The findings identified key areas for improving and innovating care for both rural and urban AIAN veterans.

The Impact of Individual and Parental American Indian Boarding School Attendance on Chronic Physical Health of Northern Plains Tribes.

This study investigated the relationship of American Indian boarding school attendance and chronic physical health. We hypothesized boarding school attendance would be associated with an increased number of chronic physical health problems. We also examined the relationship between boarding school attendance and the 15 chronic health problems that formed the count of the chronic health conditions. American Indian attendees had a greater count of chronic physical health problems compared with nonattendees. Father's attendance was independently associated with chronic physical health problems. Attendees were more likely to have tuberculosis, arthritis, diabetes, anemia, high cholesterol, gall bladder disease, and cancer than nonattendees.

The relationship of five boarding school experiences and physical health status among Northern Plains Tribes.

PURPOSE: American Indian (AI) boarding school attendance is related to poor physical health status; however, little is known about how specific aspects of this experience contribute to poor health. Five experiences (age of first attendance, limited family visits, forced church attendance, prohibition on practicing AI culture and traditions, and punishment for use of AI language) may be independently associated with physical health status in adulthood. We expected the effect to be greater for those who began boarding school at older ages. METHODS: Data on AI boarding school attenders (n = 771) came from the AI-Service Utilization, Psychiatric Epidemiology, Risk and Protective Factors Project. Multiple linear regression models examined the association of these five experiences with physical health status. Additionally, we conducted a separate set of regressions to test for an interaction effect of age of first attendance. RESULTS: Each of the five experiences noted above were independently associated with poorer physical health status compared to those who did not have these experiences. An interaction effect for those punished for use of AI language and who were aged 8 or older was confirmed. CONCLUSIONS: Findings are consistent with reports that boarding school attendance is related to poor AI adult health. To inform AI health programs, the relationship of specific diseases and boarding school attendance should be considered.

Alcohol detoxification completion, acceptance of referral to substance abuse treatment, and entry into substance abuse treatment among Alaska Native people.

BACKGROUND: Little is known about factors associated with detoxification treatment completion and the transition to substance abuse treatment following detoxification among Alaska Native people. This study examined 3 critical points on the substance abuse continuum of care (alcohol detoxification completion, acceptance of referral to substance abuse treatment, entry into substance abuse treatment following detoxification). METHODS: The retrospective cohort included 383 adult Alaska Native patients admitted to a tribally owned and managed inpatient detoxification unit. Three multiple logistic regression models estimated the adjusted associations of each outcome separately with demographic/psychosocial characteristics, clinical characteristics, use related behaviors, and health care utilization. RESULTS: Seventy-five percent completed detoxification treatment. Higher global assessment functioning scores, longer lengths of stay, and older ages of first alcohol use were associated with completing detoxification. A secondary drug diagnosis was associated with not completing detoxification. Thirty-six percent accepted a referral to substance abuse treatment following detoxification. Men, those with legal problems, and those with a longer length of stay were more likely to accept a referral to substance abuse treatment. Fifty-eight percent had a confirmed entry into a substance abuse treatment program at discharge. Length of stay was the only variable associated with substance abuse treatment entry. CONCLUSIONS: Services like motivational interviewing, counseling, development of therapeutic alliance, monetary incentives, and contingency management are effective in linking patients to services after detoxification. These should be considered, along with the factors associated with each point on the continuum of care when linking patients to follow-up services.

Impact of adaptive functioning on readmission to alcohol detoxification among Alaska Native People.

BACKGROUND: This study examined predictors associated with readmission to detoxification in a sample of adult Alaska Native patients admitted to inpatient alcohol detoxification. Even though Alaska Native people diagnosed with alcoholism have been identified as frequent utilizers of the health care system and at elevated risk of death, little is known about factors associated with readmission to detoxification for this group. METHODS: We sought to predict readmission using a retrospective cohort study. The sample included 383 adult Alaska Native patients admitted to an inpatient detoxification unit and diagnosed with alcohol withdrawal during 2006 and 2007. Cox proportional hazard modeling was used to estimate unadjusted and adjusted associations with time to readmission within one year. RESULTS: Forty-two percent of the patients were readmitted within one year. Global Assessment Functioning (GAF; Axis V in the multi-axial diagnostic system of the Diagnostic and Statistical Manual of Mental Disorders [DSM IV]) score measured at the time of intake was associated with readmission. A one point increase in the GAF score (HR=.96, 95% CL=.94, .99, P=.002) was associated with a four percent decrease in readmission. The results also indicated that the GAF mediated the relationship between readmission and: employment and housing status. CONCLUSIONS: The GAF measures both illness severity and adaptive functioning, is part of standard behavioral health assessments, and is easy to score. Readmission rates potentially could be decreased by creating clinical protocols that account for differences in adaptive functioning and illness severity during detoxification treatment and aftercare.