American Indian Research Articles

Report of Unfair Discipline at School and Associations with Health Risk Behaviors and Experiences - Youth Risk Behavior Survey, United States, 2023.

Relatively little is known about the association between school discipline and student health and well-being. Using CDC's 2023 Youth Risk Behavior Survey, CDC analyzed the prevalence of report of unfair discipline at school and associations with experiences at school, mental health, suicidal thoughts and behaviors, and health risk behaviors among high school students overall and stratified by race and ethnicity. Prevalence estimates, prevalence differences, and prevalence ratios adjusted for race (in overall models), grade, and sex were calculated. Overall, 19.3% of students reported receiving unfair discipline during the previous 12 months; Black or African American students had a higher prevalence (23.1%) compared with Hispanic or Latino students (18.4%) and White students (18.1%). Unfair discipline was reported among a majority of students who describe their sexual identity in some other way (besides gay, heterosexual, lesbian, bisexual, or questioning) for American Indian or Alaska Native (81.7%) and multiracial (57.1%) subgroups. Overall, report of unfair discipline was associated with every health risk behavior and experience examined, including being bullied at school or electronically, skipping school due to feeling unsafe, carrying a weapon at school, prescription opioid misuse, poor mental health, persistent feelings of sadness or hopelessness, seriously considered attempting suicide, and attempted suicide. This pattern of association was similar among most student groups in models stratified by race and ethnicity. This analysis is the first to demonstrate, among a nationally representative sample of high school students, that reports of unfair discipline are associated with various health risk behaviors and experiences. With these findings, public health and education practitioners can create interventions that equitably promote safe, supportive, and inclusive school environments for student health.

Overview and Methods for the Youth Risk Behavior Surveillance System - United States, 2023.

The Youth Risk Behavior Surveillance System (YRBSS) is a set of surveys that tracks a broad range of behaviors, experiences, and conditions that can lead to poor health among high school students. The system includes a nationally representative Youth Risk Behavior Survey (YRBS) and separate school-based YRBSs conducted by states, tribes, territories, and local school districts. For the 2023 national YRBS, CDC made changes to the sampling method, survey administration mode, and questionnaire. Specifically, the sampling design added an American Indian or Alaska Native (AI/AN) supplemental sample so that separate, precise estimates could be made for AI/AN high school students, in addition to the usual sample designed to provide nationally representative data for the population of students in grades 9-12. To decrease the time needed to collect and process data, CDC changed the survey administration mode from paper-and-pencil scannable booklets to a tablet-based electronic survey. To provide national data on topics of emerging interest, CDC added new questions to the questionnaire. These new questions assessed social media use, experiences of racism at school, adverse childhood experiences, transgender identity, consent for sexual contact, and unfair discipline at school. Public health practitioners and researchers can use YRBSS data to examine the prevalence of youth health behaviors, experiences, and conditions; monitor trends; and guide interventions. This overview report describes 2023 YRBSS survey methodology, including sampling, data collection, data processing, weighting, and data analyses. The 2023 YRBS participation map, survey response rates, and a detailed examination of student demographic characteristics are included in this report. During 2023, in addition to the national YRBS, 68 site-level surveys were administered to high school students in 39 states, three tribal governments, five territories, and 21 local school districts. These site-level surveys use site-specific questionnaires that are similar to the national YRBS questionnaire but are modified to meet sites' needs. This overview and methods report is one of 11 featured in this MMWR supplement, which reports results from the 2023 national YRBS but does not include data from the 68 site-level surveys. Each report is based on data collected using methods presented in this overview report. A full description of YRBSS results and downloadable data are available (https://www.cdc.gov/yrbs/index.html).

Food Insecurity and Diabetes Insulin Adherence Among Older Adults

Older adults in the United States continue to be impacted by food insecurity. Diabetes is on the rise in older adults and insulin therapy is often recommended as treatment. However, less is known about the relationship between food insecurity and insulin adherence among older adults. The current study utilized secondary data analysis methods to examine the 2021 National Health Interview Survey to explore the relationship between food insecurity and insulin adherence among adults aged 55 and older who are living with diabetes. Results of multivariable logistic regression suggest that participants experiencing food insecurity were more likely to take less insulin than needed and delay buying insulin in the past 12 months compared to participants who were food secure. Homeownership was inversely associated with taking less insulin than needed. Higher income-to-poverty ratio was also inversely associated with skipping insulin doses, taking less insulin than needed, and delaying the purchase of insulin. Our results showed that other racialized/ethnic groups (i.e., American Indian, Alaskan Native, Asian, biracial, and multiracial persons) compared to White were less likely to skip an insulin dose and take less insulin than needed. Suggesting food insecurity should be considered when insulin therapy is recommended for older adults with diabetes.

Identifying Culturally Relevant School Support Profiles and Links to Academic Functioning in Adolescents.

There is limited knowledge about patterns of adolescents' experiences of general teacher support and support for critical consciousness and cultural competence development in school settings, which are key experiences proposed to promote academic functioning. Furthermore, less is known about potential developmental and ethnic-racial differences in these patterns. Using a person-centered approach, this study examined culturally relevant school support profiles in a sample of sixth and ninth grade students (N = 717; 49.9% girls) from the U.S. Southwest. Participants were aged 10 to 18 years (M = 13.73; SD = 1.54) and were ethnoracially diverse (31.8% Hispanic/Latinx, 31.5% Multiethnic, 25.7% White, 7.3% Black or African American, 1.4% Asian American or Pacific Islander, 1.4% American Indian or Alaska Native, and 1% Arab, Middle Eastern, or North African). Four culturally relevant school support profiles were identified: (1) low general, devoid cultural & critical support; (2) moderate general, moderate cultural, & devoid critical support; (3) high general, moderate cultural & critical support; and (4) high general, cultural, & critical support. Youth in the high general, cultural, & critical support profile had higher concurrent emotional and behavioral engagement. No significant differences were found between early (6th grade) and middle adolescent (9th grade) youth, pointing to the relevance and associations of the identified profiles across development. One significant difference emerged when comparing White and ethnoracially minoritized youth; among White youth, those in the high general, cultural, & critical support and high general, moderate cultural & critical support profiles had higher academic expectations than those in the low general, devoid cultural & critical support profile. The discussion focuses on characterizing heterogeneous and culturally relevant school support profiles, the associations between these profiles and indicators of academic functioning for ethnoracially diverse youth to advance developmental theory and the importance of promoting culturally relevant school support practices to foster developmental competencies among youth.

12420 Effects Of A Continuous Glucose Monitoring (CGM) Optimization Program On Prescribing Behavior And Glycemic Outcomes

Abstract Disclosure: A. Sterbenz: None. J. Fuentes Rosales: None. S. Abraham: None. P. Siroya: None. R. Middelbeek: None. J. Mitri: None. F. Rossitto: None. E. Cabana: None. A. Gharse: None. L. Collins: None. L. Aliaga: None. A. Millan Ferro: None. J. Cifuni: None. A. Schwartz: None. E. Kelley: None. C. Gomez: None. M. Aballay: None. Introduction: Continuous glucose monitoring (CGM) improves glucose control in patients with diabetes, as demonstrated in clinical trials. There is limited information available on the real-world application of CGM adoption in a resource-limited setting or safety net outpatient hospital setting. This intervention's aim was to assess the impact of a multifaceted approach on improving CGM utilization and on glycemic control among patients with diabetes. Methods: Wyckoff Heights Medical Center, located in Brooklyn, NY is a resource-limited setting that in partnership with the Joslin Diabetes Center, Boston, MA launched a CGM Clinical Care Optimization Program. This quality improvement (QI) initiative included establishing a diabetes technology team (DTT) which met weekly (n=24 sessions) to establish a highly specialized interprofessional group. The DTT activities included: 1) Establishing a CGM workflow; 2) Expanding Medical Assistant responsibilities related to diabetes technology and training; 3) Creating five bilingual (English-Spanish) patient handouts; 4) Building CGM vendor relationships; 5) Developing a CGM manual for data download, billing and coding, and education to increase CGM knowledge across the system. Data were collected prior to CGM initiation and at most recent visit. Results: The intervention occurred between February and November 2023. Prior to this intervention, 49 patients had a CGM prescription. After 9 months, CGM prescriptions were written for 333 patients (680% increase) with the following baseline characteristics (mean ± SD): age (61.2 ± 14.7 yrs.); 56% female; 44% male; 71% Latino; Race: 67% Other (63% Hispanic or Latino), 25% Black or African American, 4% White, Asian 2%, American Indian or Alaska Native 2%; 38% Spanish-speaking, 59% English-Speaking, 3% Other; 81% government insurance (63% Medicaid, 18% Medicare), 19% commercial insurance. The majority of patients had been diagnosed with type 2 diabetes (91%) and 9% had type 1 diabetes. Baseline HbA1C was 9.7 ± 1.5%. Of note, prior to CGM, 34% of patients had A1C>9%. The impact of CGM use was evaluated on 116 patients that met the following criteria: baseline A1C value within 60 days before or up-to 30 days after prescription, and a A1C >90 days after. After an average duration of 154 days of CGM use, HbA1c decreased significantly by -0.51% (p=0.001), demonstrating improved glycemic control post-CGM use. In those with A1c >9%, HbA1c decreased from 10.5% to 8.8% (p<0.01). Conclusion: Creating a CGM optimization program in a resource-limited setting is critical in improving patient self-awareness and provider insight in glycemic control in patients diagnosed with type 1 and type 2 diabetes. These data demonstrate the feasibility of implementing a CGM optimization program in a resource-limited setting, which is critically important in improving clinical care for people with diabetes. Presentation: 6/2/2024

Developing a Public Health Course to Train Undergraduate Student Health Messengers to Address Vaccine Hesitancy in an American Indian Community.

The purpose of the Diné Teachings and Public Health Students Informing Peers and Relatives about Vaccine Education (RAVE) project was to develop strategies for health communication that addressed COVID-19 vaccine safety for residents of the Navajo Nation. The RAVE project developed a 16-week course using the Diné Educational Philosophy as a framework to train Diné College (DC) public health undergraduate students (n = 16) as health messengers to share COVID-19 vaccine safety information with unvaccinated peers and relatives. An online community survey (n = 50) was used to assess DC community vaccination perceptions to guide course development. The two primary reasons survey participants got vaccinated were to protect the health of others [82% (n = 41)] and to protect their own health [76% (n = 38)]. A pretest/post-test and a retrospective pretest (n = 13) were implemented to determine course effectiveness. A finding approaching significance was related to student confidence in being health messengers (9.1% increase). RAVE offers the first example in the published literature of successfully training American Indian undergraduate students in the context of a public health course to contribute to the response workforce during a public health crisis.

Self-identified Race and Ethnicity and How this is Perceived: Associations with the Physical and Mental Health of Incarcerated Individuals.

The singular focus on self-identified race and ethnicity in health disparities research may not fully convey the individual and structural components of experiencing race in society, or in a racialized context such as prison. Processes of racialization create boundaries between incarcerated individuals and regulate their daily interactions and access to resources, with possible effects on well-being. However, the relationship between perceived race and health has not been examined within the imprisoned population. We used data from the 2016 Survey of Prison Inmates (n = 23,010) to assess how self-identified race, perceived race, and the discordance between racial self-identification and perception were associated with the physical (number of chronic conditions) and mental health (psychological distress) of American Indian and Alaska Native, Asian, Black, Latino, White, and multiracial incarcerated individuals. Reported perception as Latino was associated with better mental and physical health relative to perception as White. Perceived Latino identity was more strongly associated with physical and mental health than a Latino self-identity. Reported perception as Black was associated with less psychological distress than perception as White, but this relationship dissipated after accounting for self-identified race. In contrast, perceived and self-identified multiracial incarcerated individuals reported worse health than their White counterparts. Having a discordant (vs. concordant) racial identity was associated with worse physical and mental health among imprisoned persons regardless of race. The use of a single, unidimensional measure of race and ethnicity in health disparities research does not fully reveal racialization's influence on health, specifically for those experiencing incarceration.

Suicide Rates by Age and Time Among American Indian and Alaskan Native Veterans

Objective: Although recent work has highlighted high rates of suicide among American Indian and Alaska Native individuals who served in the US military, to date, a comprehensive evaluation of age-specific suicide rates, over time, has yet to be conducted. Methods: Population-based retrospective cohort study. Average annual suicide rates (2005–2020) were computed. The cohort included 207,955 Native Veterans who were alive as of January 1, 2005, and separated from military service on or before December 31, 2020. Suicide was identified via National Death Index codes. Results: Between 2005 and 2020, average annual, age-specific suicide rates among Native Veterans ranged from 16.32/100,000 (55+ y) to 64.49/100,000 (18–34 y). Compared with other age-related cohorts, the rate among those in the youngest age cohort (18–34y) was the highest between 2005 and 2018. The 2019–2020 average annual rate for 18- to 34-year-olds (41.86/100,000) dropped below that of the middle-aged cohort (35–45 y; 44.66/100,000). Across all age cohorts, firearms were the most used method of suicide [57.2% (18–34 and 35–54 y) to 66.17% (55+y)]; however, a notable percentage of Veterans died by suffocation, 16.54% (55 y and older), 26.71% (35–54 y), and 33.21% (18–34 y). Conclusions: Findings highlight differences in suicide rates by age groups overtime for Native Veterans irrespective of Veterans Health Administration use and across service eras, as well as means of suicide, which also differed across groups. Increased efforts are needed to identify culturally and age-relevant intervention strategies, as well as factors associated with risk, to reduce deaths among Native Veterans.

Traditional healing as mental health intervention: Contemporary insights from an American Indian healer.

Contemporary American Indian communities experience a disproportionately high rate of specific mental health concerns, including psychiatric disorders as defined by professional psychology. Although integrating mainstream mental health services and Indigenous traditional healing (ITH) has been presented as a promising approach to addressing these inequities, such integration necessitates in-depth exploration and consideration of ITH. To that effect, this article provides a thematic analysis of an interview with an urban American Indian traditional healer who reflected on more than 4 decades of therapeutic experience. Based on this analysis, we identified two major themes. The first theme, Expansive View of ITH, reflects this healer's conceptualization and understanding of the therapeutic process while the second theme, Guiding Principles of ITH, explicates the foundational commitments that shape and guide this healer's application and practice of ITH. These insights reinforce previous observations made by scholars of Indigenous health and well-being that challenge dominant Euro-American perspectives and call for transformative change in psychology research and practice, advocating for professional consideration of a broader range of therapeutic rationales, traditions, and practices than what is common within the field. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Health Insurance Type and Access to the Indian Health Service Before, During, and After Childbirth Among American Indian and Alaska Native People in the United States

BackgroundAmerican Indian and Alaska Native (AI/AN) people in the United States face elevated childbirth-related risks when compared with non-Hispanic white people. Access to health care is a treaty right of many AI/AN people, often facilitated through the Indian Health Service (IHS), but many AI/AN people do not qualify for or cannot access IHS care and rely on health insurance coverage to access care in other facilities. Our goal was to describe health insurance coverage and access to IHS care before, during, and after childbirth for AI/AN birthing people in the United States. MethodsWe analyzed 2016 ton 2020 Pregnancy Risk Assessment Monitoring System data (44 states and 2 other jurisdictions) for 102,860 postpartum individuals (12,920 AI/AN and 89,940 non-Hispanic white). We calculated weighted percentages, adjusted predicted probabilities, and percentage point differences for health care coverage (insurance type and IHS care) before, during, and after childbirth. ResultsApproximately 75% of AI/AN birthing people did not have IHS care around the time of childbirth. AI/AN people had greater variability in insurance coverage and more insurance churn (changes in type of insurance, including between coverage and no coverage) during the perinatal period, compared with non-Hispanic white people. Health care coverage differed for rural and urban AI/AN people, with rural AI/AN residents having the lowest prevalence of continuous insurance (60%). ConclusionAI/AN birthing people experience insurance churning and limited access to IHS care during the perinatal period. Efforts to improve care for AI/AN birthing people should engage federal, state, and tribal entities to ensure fulfillment of the trust responsibility of the United States and to address health inequities.

Mortality Patterns of Esophageal Cancer in the United States: A 21-Year Retrospective Analysis.

Esophageal cancer (EC) is the sixth leading cause of cancer-related deaths in the United States, with a mere 20% survival rate in the first 5 years, making it a significant public health concern. Considering the lack of comprehensive evaluations of mortality trends, this study aims to provide an update on the mortality rates of esophageal cancer and its trends in the United States. The mortality trends among adults with EC were analyzed using data from the CDC WONDER database. Crude and age-adjusted mortality rates (AAMRs) per 100,000 people were extracted. Annual percent changes (APCs) in AAMRs with 95% CI were obtained using joinpoint regression analysis across different demographic (sex, race/ethnicity, and age) and geographic (state, urban-rural, and regional) subgroups. Between 1999 and 2020, 309,725 documented deaths were attributed to esophageal cancer. The overall AAMR decreased from 1999 to 2020 (6.69 to 5.68). Males had higher consistently higher AAMRs than females (10.96 vs. 2.24). NH White had the highest overall AAMR (6.88), followed by NH Black (6.46), NH American Indian (4.95), Hispanic or Latino (3.31), and NH Asian or Pacific Islander (2.57). AAMR also varied by region (overall AAMR: Midwest: 7.18; Northeast: 6.75; South: 6.07; West: 5.76), and nonmetropolitan areas had higher AAMR (non-core areas: 7.09; micropolitan areas: 7.19) than metropolitan areas (large central metropolitan areas: 5.75; large fringe areas: 6.33). The states in the upper 90th percentile of esophageal cancer-related AAMR were Vermont, District of Columbia, West Virginia, Ohio, New Hampshire, and Maine, and exhibited an approximately two-fold increase in AAMRs, compared with states falling in the lower 10th percentile. Over the last 2 decades, there has been an overall decline in mortality related to EC in the United States. However, demographic and geographic discrepancies in EC-related mortality persist, necessitating additional exploration and development of specifically directed treatments.

Development and implementation of an equitable and efficient navigation program to address supportive care needs in patients with cancer.

58 Background: Despite evidence backing the use of navigation along the cancer care trajectory, existing programs struggle to deliver services efficiently and equitably. To bridge this gap, we developed and implemented a patient-centric, data-driven navigation program that leverages a risk-stratification approach to prioritize and address unmet needs. Methods: Our program was developed with key principles to address inefficiencies in existing navigation systems. First, we embedded the program within our institution’s Epic environment, using data-driven risk calculators, dashboards, flowsheets, and templates to support the navigation curriculum. Second, the program structure aligned with the patient’s journey from initial consult through treatment, focusing on early identification of unmet needs, centralized resourcing, and remote symptom monitoring for high-risk patients. Third, we unified the workflows of navigators, intake personnel, triage nurses, and providers, fostering system-wide collaboration. Results: The program has been successfully implemented in patients with new consults in gastrointestinal, breast, and hematologic oncology. To date, 2,080 patients have had an initial assessment leading to a Navigation Assessment Score (NAS) that predicts longitudinal burden of unmet needs and directs subsequent resourcing. 226 referrals have been generated to: cancer rehabilitation (76), nutrition (60), psychosocial oncology (48), tobacco cessation (39), and palliative care (3). Remote symptom monitoring was piloted in 34 gastrointestinal oncology patients meeting the calculated highest decile risk for unplanned acute care event use. Proportions of patients with a NAS score (N=2,080): 69.3% White, 17.7% Black, 3% Latinx, 1.8% Asian, 0.9% American Indian; referrals (N=226): 61.2% White, 23.0% Black, 4.9% Latinx, 1.1% Asian, 0.5% American Indian; remote symptom monitoring (N=34): 79.4% White, 11.8% Black, 5.9% American Indian. Except for Latinx patients, these distributions align with the patient population in gastrointestinal, breast, and hematologic oncology (N=4,267; 68.0% White, 22.5% Black, 6.4% Latinx, 1.9% Asian, 0.9% American Indian). Conclusions: Development and implementation of our program is feasible, and the approach has potential to mitigate disparities in cancer service delivery and outcomes. Ongoing efforts include exploring accessibility among Latinx patients and developing the business case for sustainability and scaling.

Training community members to deliver an intervention for substance use disorder: Overcoming implementation barriers in American Indian communities

IntroductionAlthough American Indian and Alaska Native (AI/AN) people have high rates of abstinence from alcohol and other drugs, there also is evidence of greater rates of substance use disorders (SUDs) in Native communities. Health disparities associated with substance use are compounded by inadequate access to evidence-based treatments (EBTs). Lack of mental health providers is one notable barrier to EBT implementation in rural AI reservation communities. Our Indigenous Recovery Planning (IRP) intervention merges cultural lessons and culturally adapted relapse prevention strategies to facilitate SUD recovery in the reservation environment. One key implementation strategy is training non-specialist community-based facilitators to deliver IRP, thereby increasing its acceptability and sustainability. This manuscript reports the facilitator training, supervision, and fidelity monitoring procedures used in our ongoing clinical trial of IRP. MethodThe study recruited four AI non-specialist providers from the community to serve as IRP facilitators. Initial training involved an introductory motivational interviewing workshop followed by a 2-day workshop in the IRP curriculum. Then we conducted an open trial of the 6-week intervention with weekly supervision meetings as part of the facilitator training process. During the open trial we also assessed participant and facilitator receptivity to the IRP intervention and pilot tested our fidelity monitoring protocol. ResultsThe initial training workshops provided facilitators with information they needed to understand the rationale behind IRP and determine whether the facilitator role was a good fit; however, additional training and supervision during the open trial was needed to ensure proper treatment delivery. Although participant and facilitator feedback ratings were positive, the open trial helped us identify revisions needed to improve our approach to facilitator training, supervision, and fidelity monitoring. We revised these procedures, and also developed a protocol to train new facilitators who join the study midstream. ConclusionThe open trial was an important aspect of the facilitator training process and helped our team identify several areas of improvement. Our approach to training, supervising, and monitoring community member facilitators may serve as an example of how to overcome one barrier to implementing evidence-based SUD treatments in rural reservation communities with few mental health professionals.

Associations of Risk and Protective Factors with Kidney Outcomes among American Indians: The Strong Heart Family Study

Associations of Risk and Protective Factors with Kidney Outcomes among American Indians: The Strong Heart Family Study

Mediation of risk factors for high blood pressure in four racial and ethnic populations.

This study evaluated the extent to which body mass index (BMI) mediates associations between risk factors and incident high blood pressure in American Indians and Alaska Natives (AI/ANs), Non-Hispanic Whites (NHWs), Non-Hispanic Blacks (NHBs) and Hispanics. There were 7,793 participants from the National Longitudinal Study of Adolescent to Adult Health: 312 AI/ANs, 1,091 Hispanics, 1,567 NHBs and 4,823 NHWs. Risk factors for high blood pressure included adolescent BMI, TV watching, fast-food consumption, smoking, parental obesity, parental educational attainment and financial instability. Relative risk regression models stratified by race/ethnicity were used to examine associations between risk factors and incident high blood pressure. Path analysis was used to assess mediation by BMI. Female sex was a protective factor against high blood pressure, and higher BMI was a risk factor in all populations. Smoking increased high blood pressure risk in AI/ANs (Incident Rate Ratio [IRR]: 1.14, 95% CI: 1.02-1.27), but not in other groups. BMI partially mediated the effect of parental obesity on high blood pressure in NHWs and completely mediated the effect of parental obesity in NHBs. In AI/ANs and Hispanics, BMI did not mediate the relationship between incident high blood pressure and any risk factor. This study assessed the extent to which BMI mediates risk factors for high blood pressure in four populations, and showed important differences across populations. Further research is needed to improve knowledge about relationships between BMI, risk factors and incident high blood pressure, and their potential variability by race/ethnicity.

Strategies to Deimplement Opioid Prescribing in Primary Care

Centers for Disease Control and Prevention guidelines advocate reduced opioid prescribing for chronic pain, yet research on their implementation remains limited. To compare 4 deimplementation strategies to promote guideline-concordant opioid prescribing. This cluster randomized clinical trial was performed at 32 primary care clinics from 2 US health care systems from February 2020 to March 2022, using a hybrid type 3 sequential multiple-assignment design focused on patient outcomes. Clinics were recruited through volunteer sampling, including 268 clinicians and 8978 patients. Data were analyzed from September 2020 to March 2022. Deimplementation strategies were targeted at the system, clinic, and prescriber levels. All clinics received a system-level strategy consisting of quarterly educational meetings with monthly audit and feedback (EMAF) reports. At month 3, half the clinics were randomized to receive practice facilitation (PF), a clinic-level strategy that targets clinic workflows. At month 9, half the clinics were again randomized to add prescriber peer consulting (PPC), a prescriber-level strategy focused on challenging patient cases. The primary outcome was change in mean morphine milligram equivalent (MME) dose in clinics receiving the least intensive bundle of deimplementation strategies (EMAF) vs the most intensive (EMAF plus PF plus PPC). Secondary outcomes included adherence to guideline metrics aimed at mitigating opioid risk. Among the 8978 patients included in the analysis, 5142 (57.3%) were female; 42 (0.5%), American Indian or Alaska Native; 74 (0.8%), Asian or Pacific Islander; 411 (4.6%), Black; 187 (2.1%), Hispanic or Latino; 8127 (90.5%), White; and 137 (1.5%), other or unknown. Mean (SD) age was 58.3 (14.3) years. Eight clinics (including 66 prescibers and 2044 patients) assigned the most intensive strategy (EMAF plus PF plus PPC) had statistically significant effects on the primary outcome compared with 7 clinics (including 60 clinicians and 2427 patients) receiving the least intensive strategy (EMAF); clinics in the high-intensity group decreased the mean MME dose by 2.4 (95% CI, -4.3 to -0.5) mg/d more than the EMAF group (P = .02), representing a 6% reduction, and increased screening for pain severity, enjoyment of life, and general activity by 5.4% (95% CI, 0.4%-10.4% [P = .04]) more. Compared with EMAF, the most intensive strategy resulted in statistically significant decreases in urine drug screening (difference, -7.3% [95% CI, -11.5% to -3.0%]; P < .001) and use of treatment agreements (difference, -6.7% [95% CI, -11.1 to -2.3%]; P = .003), in the opposite direction of the hypothesis. There were no significant differences between groups in benzodiazepine coprescribing, mental health screening, or patients receiving an MME dose greater than or equal to 90.0 mg/d. In this cluster randomized clinical trial, a high-intensity deimplementation strategy targeted at prescribers significantly decreased the MME dose and increased screening for pain intensity and pain-related interference while reducing use of treatment agreements and urine drug screening. Providing clinic- and prescriber-level deimplementation strategies may help health systems take positive steps toward reducing reliance on opioid medications for chronic pain management in primary care settings. ClinicalTrials.gov Identifier: NCT04044521.

Treatment patterns of goserelin 3.6 mg once monthly and 10.8 mg every three months in women with breast cancer: A real-world analysis.

391 Background: Goserelin is a gonadotropin-releasing hormone agonist used for ovarian function suppression in the treatment of pre- and peri-menopausal patients with breast cancer. Goserelin, administered as a subcutaneous implant, is available in doses of 3.6 mg once monthly or 10.8 mg every three months; goserelin 3.6 mg is approved in the US, and both the 3.6 mg and 10.8 mg doses are approved by Health Canada and the European Medicines Agency. A study utilizing US real-world evidence was conducted to characterize treatment patterns of patients treated with goserelin 3.6 mg and/or 10.8 mg. Methods: Electronic health record data of adult patients with a history of breast cancer and with ≥2 prescriptions of goserelin between 1 January 2017 – 31 December 2022 were identified through TriNetX. Index date was the initiation of goserelin administration. Patients were followed until 15 March 2024. Patient demographics, treatment adherence, and healthcare resource utilization (HCRU) were examined and summarized using descriptive analytics. Results: Overall, 3,620 patients were identified: 2,870 treated with goserelin 3.6 mg, 410 with goserelin 10.8 mg, and 340 who switched from goserelin 3.6 mg to 10.8 mg. Peak utilization of goserelin 10.8 mg (36.6%) and peak dosage switching (26.5%) occurred in 2020. Across groups, mean age at index date was 42.2–44.4 years, and patients were white (64.1–67.6%), black (11.8%–13.9%), Asian (8.0%–11.8%), and American Indian and/or Alaskan native (0.3%–2.9%). Of patients with known BMI, BMI mostly ranged between 18.5–24.9 kg/m 2 in all groups. Patients who switched from goserelin 3.6 mg to 10.8 mg had the longest median treatment duration (776 days) (Table). Patients treated with goserelin 10.8 mg remained on treatment for a median of 426 days; 74.4% of these patients were treatment-adherent (Table). In comparison, patients treated with goserelin 3.6 mg had a shorter median treatment duration (226 days) and were less adherent (56.4%) (Table). HCRU during the 12 months after index date was broadly similar across groups. Conclusions: Treatment with goserelin 10.8 mg every three months is associated with greater adherence and longer treatment duration, compared with 3.6 mg once monthly, in patients with a history of breast cancer. Patients who switched from goserelin 3.6 mg to 10.8 mg were treatment-adherent for nearly two years, consistent with clinical recommendations. Goserelin 3.6 mg (n = 2,870) Goserelin 10.8 mg (n = 410) Switched from goserelin 3.6 mg to 10.8 mg (n = 340) Median duration of treatment (days) 264 429 776 Median time to switch (days) — — 218 Patients adherent* to dosing schedule 1,608 (56.4%) 306 (74.4%) — Status as of March 15, 2024 Discontinued goserelin 2,018 (70.8%) 261 (64.3%) 173 (50.9%) Death 88 (3.1%) 10 (2.5%) 3 (0.9%) *Defined as: ≤36 days between prescriptions (3.6 mg) or ≤108 days between prescriptions (10.8 mg).

Racial disparities in hepatocellular carcinoma (HCC) treatment and survival: A SEER-Medicare analysis.

144 Background: Between 2017-2022, approved systemic therapies for HCC increased from 1 to 10. Studies have shown racial disparities in overall survival (OS), but no studies have evaluated disparities in new systemic treatments. Methods: We identified patients in SEER-Medicare data diagnosed with HCC in 2014-2019 with claims through 2020. We identified demographics, liver disease type, cirrhosis complications (e.g, jaundice), diagnosis stage, receipt of local therapies (e.g, resection) and receipt of systemic therapies (e.g, sorafenib). We described cohort characteristics by race. OS and receipt of treatment were analyzed using Cox and logistical regression models adjusted for the above covariates. Results: The study included 8,257 patients (77.7% White, 11.9% Asian, 9.1% Black, 0.9% American Indian). Median OS for all patients was 9.1 months. Compared to White patients, Black patients had worse OS (hazard ratio [HR] 1.36, p= &lt;.0001). Black patients receiving no treatment (HR 1.24, p=0.002) and local therapy first (HR 1.29, p=0.003) also had worse survival, while Black patients receiving systemic therapy first had similar OS (HR 1.08, p=0.62) to White patients. Black patients were less likely than White patients to receive any treatment (odds ratio [OR]: 0.64, p=&lt;.0001) or curative treatment if they had early stage-HCC (OR 0.49, p=0.013), but had no difference in receipt of a new systemic therapy if receiving any systemic therapy (OR 0.72, p=0.19) (Table). Compared to White patients, Asian patients had better OS among all patients (HR 0.91, p=0.04) and among patients receiving local therapy first (HR 0.89), but similar OS among patients receiving no treatment (HR 0.90, p=0.13) or systemic therapy first (HR 1.07, p=0.60). Asian patients were as likely as White patients to receive any treatment (OR 1.07, p=0.43), curative treatment for early-stage HCC (OR 0.94, p=0.70) and novel therapies if receiving systemic therapy (OR 1.10, p=0.70). Conclusions: As new HCC therapies emerged, there were racial disparities in OS and receipt of any treatment or local therapies, but not in receipt of new systemic treatments. Targeted interventions are essential to address these disparities and ensure equitable access to care. Treatment and survival disparities, by race. All PatientsN=8,218 White N=6412 Black N=747 Asian or Pacific Islander N=983 American Indian/Alaskan Native* N=76 Median Overall survival, months 9.1 9.5 5.6 10.1 8.3 No treatment, n (%) 3213 (39.1) 2510 (39.2) 348 (46.6) 330 (33.6) 25 (32.9) Systemic first, n (%) 894 (10.9) 693 (10.8) 85 (11.4) 103 (10.5) 13 (17.1) Local first, n (%) 4111 (50.0) 3209 (50.0) 314 (42.0) 550 (56.0) 38 (50.0) Of patients with early-stage HCC, those who received curative treatment, n (%) 749 (41.7) &gt;542 (&gt;41.5) 43 (29.3) 147 (45.2) &lt;11 (&lt;40.0) Of patients receiving systemic therapy, those who got a novel therapy, n (%) 763 (44.3) &gt;581 (&gt;43.9) 63 (40.9) 103 (46.0) &lt;11 (&lt;50.0)

Building partnerships to improve clinical trial accrual in rural and Native American communities through community health educator interventions.

180 Background: Rural populations and racial minorities are often underrepresented in cancer clinical trials. The low representation is determined by multilevel factors, including lack of geographic access to facilities in rural locations and mistrust in the medical and scientific community. Presented here are partial results of an educational intervention to improve clinical trials-related knowledge among rural residents and racial minorities. Methods: The Center to Reduce Cancer Health Disparities (CRCHD) from the National Cancer Institute (NCI) developed the study materials, that were available in English or Spanish, to be utilized according to participants' preferences. The University of Wisconsin Carbone Cancer Center implemented this intervention in northern Wisconsin, which consisted of a baseline questionnaire, a recorded educational intervention, and a post-educational questionnaire. The chosen community is largely rural and Native. The questionnaires consisted of 11-knowledge- and 6-intention-related questions. After being screened by the rural Community Health Educator (CHE), subjects self-administered the intervention online or received the intervention from the CHE during tribal or other educational group events in rural communities. Results: Between January and May 2024, 62 participants started the intervention. Participants’ mean age was 45.1 (±15.36) years, 64.5% (40/62) were female, and 53.2% (33/62) self-identified as American Indian/ Alaska Native. All resided in rural community, defined as Rural-Urban Continuum Codes 7 or 8. Three participants did not respond to the post-educational questionnaire, and one skipped its intentions section. Although the two questions about informed consent presented the highest percent of correct answers post-intervention, the median total knowledge score pre and post-intervention remained the same (p&gt;0.05). Post-intervention, participants more often agreed it is important for minority groups to participate in clinical trials, reported being likely to search for a clinical trial they might be eligible for, join a clinical trial, and talk to family/friends about joining a clinical trial (p&lt;0.05). Conclusions: The CHE successfully engaged rural community members to participate in the intervention. In addition, the intervention facilitated building trust and partnerships for future cancer-related community driven work.

Survival Difference of Colorectal Adenocarcinoma Among Racial and Ethnic Minority Groups: A SEER Database Study.

Despite advances in diagnosis and treatment, racial disparities continue to exist in colorectal cancer (CRC) survival. This study aims to characterize the CRC survival differences among racial and ethnic minority groups. The Surveillance, Epidemiology, and End Results (SEER) database was used to identify adults diagnosed with CRC from 2015 to 2019. Demographics, disease characteristics, surgical treatment, stages, and survival data for individuals who are Hispanic, Black, Southeast Asian, Chinese, American Indian and Alaskan Native (AIAN), Asian Indian and Pakistani (AIP), and Native Hawaiian and Other Pacific Islanders (NHOPI) were extracted. Survival analysis was done using the Kaplan-Meier survival curve. Multivariate analysis was done with the Cox proportional hazard model. There were 40 091 individuals with CRC. NHOPI had the youngest median age of 59 years, while Chinese individuals had the oldest median age of 65 years. From the total sample of their respective subgroups, 43.8% of Black patients and 36.7% of AIAN patients had a median household income of <$60 000, while 55.3% of Southeast Asian patients, 59.7% of Chinese patients, 55.8% of AIP patients, and 65.6% of NHOPI patient had a median household income >$70 000. The 1-year survival rate was lower for patients who were Hispanic (62.0%), Black (60.9%), and AIAN (63.1%). Even after multivariate analysis, Black patients had a significant hazard ratio (HR) of 1.21 (95% confidence interval [95% CI]: 1.05-1.38), while AIP had a HR of 0.68 (95% CI 0.55-0.84), compared to AIAN. Other significant variables that were linked with survival included older age, advanced stage of CRC, a median household income <$60 000, male sex, no surgery, subtotal colectomy/hemicolectomy, and total colectomy. Further studies are needed to elucidate the specific causes of these differences and create appropriate strategies to reduce this survival disparity.