Medicolegal death investigations on tribal lands-underrepresented or underserved?

Death investigation on tribal lands and of American Indian/Alaska Native (AIAN) people is complex and not well documented. An analysis of data from the 2018 Census of Medical Examiner and Coroner Offices (CMEC) provides a timely update on the extent of medicolegal death investigations (MDIs) on federal and state-recognized tribal lands. An estimated 150 MEC offices serve tribal lands, however, 44 % of these offices (i.e., 4 % of MEC offices) do not track cases from tribal lands separately. MEC offices with a population of 25,000 to 250,000 that serve tribal lands had more resources and access to information to perform MDIs than all other MEC offices. Analysis also indicates that the median number of unidentified human remains cases from MECs serving tribal lands is 6 times higher than that of jurisdictions not serving tribal lands. This analysis begins to elucidate gaps in the nation's understanding of MDI on tribal lands.

Characterizing Cancer Burden in the American Indian Population in North Carolina.

BACKGROUND: The American Indian (AI) population in North Carolina has limited access to the Indian Health Service. Consequently, cancer burden and disparities may differ from national estimates. We describe the AI cancer population and examine AI-White disparities in cancer incidence and mortality. METHODS: We identified cancer cases diagnosed among adult AI and White populations between 2014 and 2018 from the North Carolina Central Cancer Registry. We estimated incidence and mortality rate ratios (IRR and MRR) by race. In addition, between the AI and White populations, we estimated the ratio of relative frequency differences [RRF, with 95% confidence limits (CL)] of clinical and sociodemographic characteristics. Finally, we evaluated the geographic distribution of incident diagnoses among AI populations. RESULTS: Our analytic sample included 2,161 AI and 204,613 White individuals with cancer. Compared with the White population, the AI population was more likely to live in rural areas (48% vs. 25%; RRF, 1.89; 95% CL, 1.81-1.97) and to have Medicaid (18% vs. 7%; RRF, 2.49; 95% CL, 2.27-2.71). Among the AI population, the highest age-standardized incidence rates were female breast, followed by prostate and lung and bronchus. Liver cancer incidence was significantly higher among the AI population than White population (IRR, 1.27; 95% CL, 1.01-1.59). AI patients had higher mortality rates for prostate (MRR, 1.72; CL, 1.09-2.70), stomach (MRR, 1.82; 95% CL, 1.15-2.86), and liver (MRR, 1.70; 95% CL, 1.25-2.33) cancers compared with White patients. CONCLUSIONS: To reduce prostate, stomach, and liver cancer disparities among AI populations in North Carolina, multi-modal interventions targeting risk factors and increasing screening and treatment are needed. IMPACT: This study identifies cancer disparities that can inform targeted interventions to improve outcomes among AI populations in North Carolina.

Homicide among Indigenous females in North Carolina: a comparison of publicly generated data and violent death reporting system.

Like other minoritized populations, American Indian/Alaska Native (AI/AN) females experience disparate morbidity and mortality outcomes to that of the general US population. This study identified discrepancies in reporting of AI/AN female decedents between the North Carolina Violent Death Reporting System (NC-VDRS) and an online, user-generated database. Female AI/AN decedent data of all ages were collected from the NC-VDRS and compared against that of the publicly available North Carolina Missing and Murdered Indigenous Women (MMIW NC) database for the study period, 2004-2019. Twenty-four of the 72 cases matched between data systems (33.3%). Substantive differences between the NC-VDRS and the MMIW NC database were found. Future efforts should be directed towards supporting Indigenous communities with the comprehensive data the NC-VDRS can provide. This paper highlights statewide public health systems like the NC-VDRS supporting community efforts to understand, advocate for, and disseminate information on MMIW.

Diabetes Stigma and Psychosocial Outcomes in Adolescents and Young Adults: The SEARCH for Diabetes in Youth Study.

OBJECTIVE: To examine the association between diabetes stigma, socioeconomic status, psychosocial variables, and substance use in adolescents and young adults (AYAs) with type 1 or type 2 diabetes. RESEARCH DESIGN AND METHODS: This is a cross-sectional analysis of AYAs from the SEARCH for Diabetes in Youth study who completed a survey on diabetes-related stigma, generating a total diabetes stigma score. Using multivariable modeling, stratified by diabetes type, we examined the relationship of diabetes stigma with variables of interest. RESULTS: Of the 1,608 AYAs who completed the diabetes-related stigma survey, 78% had type 1 diabetes, and the mean age was 21.7 years. Higher diabetes stigma scores were associated with food insecurity (P = 0.001), disordered eating (P < 0.0001), depressive symptoms (P < 0.0001), and decreased health-related (P < 0.0001) and diabetes-specific quality of life (P < 0.0001). CONCLUSIONS: Diabetes stigma is associated with food insecurity, disordered eating, and lower psychosocial well-being.

Assessing the pre-implementation context for financial navigation in rural and non-rural oncology clinics.

Background: Financial navigation (FN) is an evidence-based intervention designed to address financial toxicity for cancer patients. FN's success depends on organizations' readiness to implement and other factors that may hinder or support implementation. Tailored implementation strategies can support practice change but must be matched to the implementation context. We assessed perceptions of readiness and perceived barriers and facilitators to successful implementation among staff at nine cancer care organizations (5 rural, 4 non-rural) recruited to participate in the scale-up of a FN intervention. To understand differences in the pre-implementation context and inform modifications to implementation strategies, we compared findings between rural and non-rural organizations. Methods: We conducted surveys (n = 78) and in-depth interviews (n = 73) with staff at each organization. We assessed perceptions of readiness using the Organizational Readiness for Implementing Change (ORIC) scale. In-depth interviews elicited perceived barriers and facilitators to implementing FN in each context. We used descriptive statistics to analyze ORIC results and deductive thematic analysis, employing a codebook guided by the Consolidated Framework for Implementation Research (CFIR), to synthesize themes in barriers and facilitators across sites, and by rurality. Results: Results from the ORIC scale indicated strong perceptions of organizational readiness across all sites. Staff from rural areas reported greater confidence in their ability to manage the politics of change (87% rural, 76% non-rural) and in their organization's ability to support staff adjusting to the change (96% rural, 75% non-rural). Staff at both rural and non-rural sites highlighted factors reflective of the Intervention Characteristics (relative advantage) and Implementation Climate (compatibility and tension for change) domains as facilitators. Although few barriers to implementation were reported, differences arose between rural and non-rural sites in these perceived barriers, with non-rural staff more often raising concerns about resistance to change and compatibility with existing work processes and rural staff more often raising concerns about competing time demands and limited resources. Conclusions: Staff across both rural and non-rural settings identified few, but different, barriers to implementing a novel FN intervention that they perceived as important and responsive to patients' needs. These findings can inform how strategies are tailored to support FN in diverse oncology practices.

Cross-sectional and longitudinal analyses of variations of anthropometric measures of obesity with age in the Jackson Heart Study.

OBJECTIVE: To explore how anthropometric measures of obesity vary with age among African American (AA) adults. PARTICIPANTS AND SETTING: 3634 AA adults participated in the Jackson Heart Study (Jackson, Mississippi, USA) from 2004 to 2013. OUTCOME MEASURES: Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR). METHODS: Linear regression models were used to estimate the mean differences in anthropometric measures cross-sectionally by age group. Longitudinal changes in anthropometric measures over time (ie, the ageing effect) within each sex and age group were analysed using mixed effects models. All regression models were adjusted for education and lifestyle factors. RESULTS: In cross-sectional analysis, older age was associated with lower BMI, WC and WHtR, but higher WHR in both sexes. Compared with 25 to <44 years age group, the mean (95% CI) BMI, WC and WHtR was 0.80 (0.66 to 0.94), 0.27 (0.13 to 0.42) and 0.18 (0.03 to 0.32) standardised (SD) unit lower, while WHR was 0.48 (0.33 to 0.62) SD unit higher in the 75+ years age group. In longitudinal analysis, ageing was associated with increased BMI, WC and WHtR, among younger age groups but not in older age groups. However, WHR tended to increase with ageing across all age groups in both sexes. Among men 75+ years old, the mean change (95% CI) in BMI, WC and WHtR for every 5 years increase in age, was -0.20 (-0.29 to -0.11), -0.19 (-0.31 to -0.07), -0.15 (-0.27 to -0.02) SD unit, respectively, while it was 0.24 (0.05 to 0.44) SD unit for WHR. CONCLUSIONS: Among middle-aged AA adults, all four anthropometric measures of obesity examined increased with ageing. However, among elderly AA adults, only WHR showed continued increase with ageing. WHR may be a better anthropometric measure for monitoring obesity in older AA adults.

Diabetes Stigma and Clinical Outcomes in Adolescents and Young Adults: The SEARCH for Diabetes in Youth Study.

OBJECTIVE: To examine the association between diabetes stigma and HbA1c, treatment plan and acute and chronic complications in adolescents and young adults (AYAs) with type 1 or type 2 diabetes. RESEARCH DESIGN AND METHODS: The SEARCH for Diabetes in Youth study is a multicenter cohort study that collected questionnaire, laboratory, and physical examination data about AYAs with diabetes diagnosed in childhood. A five-question survey assessed frequency of perceived diabetes-related stigma, generating a total diabetes stigma score. We used multivariable linear modeling, stratified by diabetes type, to examine the association of diabetes stigma with clinical factors, adjusting for sociodemographic characteristics, clinic site, diabetes duration, health insurance, treatment plan, and HbA1c. RESULTS: Of 1,608 respondents, 78% had type 1 diabetes, 56% were female, and 48% were non-Hispanic White. The mean (SD) age at study visit was 21.7 (5.1) years (range, 10-24.9). The mean (SD) HbA1c was 9.2% (2.3%; 77 mmol/mol [2.0 mmol/mol]). Higher diabetes stigma scores were associated with female sex and higher HbA1c (P < 0.01) for all participants. No significant association between diabetes stigma score and technology use was observed. In participants with type 2 diabetes, higher diabetes stigma scores were associated with insulin use (P = 0.04). Independent of HbA1c, higher diabetes stigma scores were associated with some acute complications for AYAs with type 1 diabetes and some chronic complications for AYAs with type 1 or type 2 diabetes. CONCLUSIONS: Diabetes stigma in AYAs is associated with worse diabetes outcomes and is important to address when providing comprehensive diabetes care.

Factors Associated with Delaying and Forgoing Care Due to Cost among Long-term, Appalachian Cancer Survivors in Rural North Carolina.

Background: Little research exists on delayed and forgone health and mental health care due to cost among rural cancer survivors. Methods: We surveyed survivors in 7 primarily rural, Appalachian counties February to May 2020. Univariable analyses examined the distribution and prevalence of delayed/forgone care due to cost in the past year by independent variables. Chi-square or Fisher's tests examined bivariable differences. Logistic regressions assessed the odds of delayed/forgone care due to cost. Results: Respondents (n=428), aged 68.6 years on average (SD: 12.0), were 96.3% non-Hispanic white and 49.8% female; 25.0% reported delayed/forgone care due to cost. The response rate was 18.5%. The proportion of delayed/forgone care for those aged 18-64 years was 46.7% and 15.0% for those aged 65+ years (P<0.0001). Females aged 65+ years (OR: 2.00; CI: 1.02-3.93) had double the odds of delayed/forgone care due to cost compared to males aged 65+ years. Conclusion: About one in four rural cancer survivors reported delayed/forgone care due to cost, with rates approaching 50% in survivors aged <65 years. Impact: Clinical implications indicate the need to: 1) ask about the impact of care costs, and 2) provide supportive services to mitigate effects of treatment costs, particularly for younger and female survivors.

A comparison of survey incentive methods to recruit rural cancer survivors into cancer care delivery research studies.

Unconditional (upfront) incentives are proposed to improve acceptance of cancer research among underrepresented, racial/ethnic minority populations, but few studies have tested incentive strategies among rural cancer survivors. Descriptive statistics summarized demographic characteristics of survey respondents, and response rates by arm were compared using Chi-square tests. We compared upfront ($2) and response-based ($10 conditional) incentives in a mailed survey of adult post-treatment rural survivors. Individuals meeting eligibility criteria from the electronic medical record (n = 2,830) were randomized into two incentive arms (n = 1,414 for the upfront arm and n = 1,416 for the contingent arm). Of the total delivered, presumed eligible participants (n = 1,304 upfront arm; n = 1,317 contingent arm), 67.8% were aged 65y+, 49.8% were female, and 95.1% were non-Hispanic white. The response rate for all participants was 18.5%. We received eligible surveys from 281 rural survivors in the first arm (response rate: 21.5%); and 205 surveys in the second arm (response rate: 15.6%). Participants who received the upfront incentive had a higher response rate than those receiving a response-based incentive, X2 (1, 2,621) = 15.53, p < 0.0001. Incentivizing survey completion with an upfront $2 bill encouraged a higher survey response rate; other supplemental strategies are needed to achieve a higher response rate for this population.

Financial Assistance Processes and Mechanisms in Rural and Nonrural Oncology Care Settings.

PURPOSE: Patients with cancer are at heightened risk of experiencing financial hardship. Financial navigation (FN) is an evidence-based approach for identifying and addressing patient and caregiver financial needs. In preparation for the implementation of a multisite FN intervention, we describe existing processes (ie, events and actions) and mechanisms (ie, how events work together) connecting patients to financial assistance, comparing rural and nonrural practices. METHODS: We conducted in-depth, semistructured interviews with stakeholders (ie, administrators, providers, and staff) at each of the 10 oncology care sites across a single state (five rural and five nonrural practices). We developed process maps for each site and analyzed stakeholder perspectives using thematic analysis. After reporting findings back to stakeholders, we synthesized themes and process maps across rural and nonrural sites separately. RESULTS: Eighty-three stakeholders were interviewed. We identified six core elements of existing financial assistance processes across all sites: distress screening (including financial concerns), referrals, resource connection points, and pharmaceutical, insurance, and community/foundation resources. Processes differed by rurality; however, facilitators and barriers to identifying and addressing patient financial needs were consistent. Open communication between staff, providers, patients, and caregivers was a primary facilitator. Barriers included insufficient staff resources, challenges in routinely identifying needs, inadequate preparation of patients for anticipated medical costs, and limited tracking of resource availability and eligibility. CONCLUSION: This study identified a clear need for systematic implementation of oncology FN to equitably address patient and caregiver financial hardship. Results have informed our current efforts to implement a multisite FN intervention, which involves comprehensive financial toxicity screening and systematization of intake and referrals.

Sociodemographic correlates of colorectal cancer screening completion among women adherent to mammography screening guidelines by place of birth.

INTRODUCTION: Colorectal cancer screening rates in the U.S. still fall short of national goals, while screening rates for other cancer sites, such as breast, remain high. Understanding characteristics associated with colorectal cancer screening among different groups of women adherent to breast cancer screening guidelines can shed light on the facilitators of colorectal cancer screening among those already engaged in cancer prevention behaviors. The purpose of this study was to explore which demographic characteristics, healthcare access factors, and cancer-related beliefs were associated with colorectal cancer screening completion among U.S. and foreign-born women adherent to mammography screening recommendations. METHODS: Analyses of the 2015 National Health Interview Survey were conducted in 2019. A sample of 1206 women aged 50-74 who had a mammogram in the past 2 years and were of average risk for colorectal cancer was examined. Logistic regression was used to determine demographic, health service, and health belief characteristics associated with colorectal cancer screening completion. RESULTS: Fifty-five percent of the sample were adherent to colorectal cancer screening recommendations. Women over the age of 65 (AOR = 1.76, 95% CI 1.06-2.91), with any type of health insurance, and who were bilingual (AOR = 3.84, 95% CI 1.83-8.09) were more likely to complete screening, while foreign-born women (AOR = 0.53, 95% CI 0.34-0.83) were less likely. Cancer-related beliefs did not influence adherence. Stratified analyses by nativity revealed additional associations. CONCLUSIONS: Demographic and health service factors interact to influence colorectal cancer screening among women completing breast cancer screening. Colorectal cancer screening interventions targeting specific underserved groups and financing reforms may enhance women's colorectal cancer screening rates.

Trends and Rural-Urban Differences in Participation in Diabetes Self-management Education Among Adults in North Carolina: 2012-2017.

PURPOSE: This study aimed to report recent trends in self-reported diabetes self-management education (DSME) participation rates among adults in North Carolina and to compare these rates between rural and urban residents. METHODS: Data for this analysis were obtained from the NC Behavioral Risk Factor Surveillance System (BRFSS) for the years 2012, 2013, 2015, and 2017, when the survey included the diabetes module. Respondents were classified as having participated in DSME if they answered "Yes" to the question, "Have you ever taken a course or class in how to manage your diabetes yourself?" We used the Rural Urban Continuum Code to classify urban and rural residence. The study sample included 4368 adults 18 years or older with self-reported diabetes. We assessed the changes in DSME participation from 2012 to 2017. We used multiple logistic regression modeling to assess the association between rural residence and DSME participation. All analyses were conducted in Stata 14 and accounted for the survey design of the BRFSS. Statistical significance was set at P < .01. RESULTS: Overall, the DSME participation rates decreased slightly in the study period, from 55.8% in 2012 to 55.6% in 2013 to 56.5% in 2015 to 52.1% in 2017. By rural-urban residence, the rates were 52.3% versus 57.8% in 2012, 54.0% versus 56.5% in 2013, 48.8% versus 62.0% in 2015, and 46.7% versus 56.1% in 2017. The multiple logistic regression model results showed that rural residents were less likely to have participated in DSME (adjusted odds ratio = 0.78; 95% confidence interval, 0.64-0.94) than urban residents. Adults with higher income and education levels were also more likely to have participated in DSME (P < .01). CONCLUSIONS: The recent BRFSS data showed that the DSME participation rate declined slightly in North Carolina. There were persistent rural-urban disparities in DSME participation, with rural residents showing lower rates, and the gaps seemed to be widening. IMPLICATIONS FOR POLICY OR PRACTICE: Continuous efforts are needed to bring more American Diabetes Association/American Association of Diabetes Educators programs to rural communities and assist persons with diabetes to participate in DSME training to reduce the burden of diabetes. Furthermore, those in rural areas may need additional support.

Rural-urban differences in uptake of diabetes self-management education among Medicare beneficiaries: Results from the 2016 to 2018 Medicare Current Beneficiary Survey.

PURPOSE: To assess rural-urban differences in participation rates of diabetes self-management education and associated factors among Medicare beneficiaries with type 2 diabetes (T2DM). METHODS: Data were from the 2016 to 2018 Medicare Current Beneficiary Survey (MCBS). Participation in diabetes self-management education was self-reported. The study sample included 3,799 beneficiaries aged 65 years and older with self-reported T2DM. Logistic regression was used to assess the association of participation in diabetes self-management education and residential location. Sampling weights embedded in the MCBS were incorporated into all analyses. FINDINGS: Overall, the participation rate of diabetes self-management education was 46.8% (95% CI: 44.4%-49.2%). The rate was 40.3% for beneficiaries in rural areas, 48.0% for suburban areas, and 47.3% for urban areas. About 31% of beneficiaries newly diagnosed with diabetes did not participate within the past year. Controlling for other covariates, beneficiaries in rural areas were less likely to have participated in diabetes self-management education (AOR = 0.73, 95% CI: 0.55-0.95) than those living in urban areas. Asian Americans were less likely to have participated (AOR = 0.49, 95% CI: 0.28-0.84) than Whites. Those who were older, with lower education, and lower income levels were less likely to have participated (P < .05). CONCLUSIONS: Recent MCBS data indicate that more than half of Medicare beneficiaries with T2DM did not participate in diabetes self-management education, and the participation rate in rural areas was 7 percentage points lower than that ​in urban areas. The study findings highlight challenges to maximize the benefits of participating in diabetes self-management education, particularly in rural areas.

Health Literacy Among Adults With Multiple Chronic Health Conditions.

Low health literacy (HL) is associated with poorer health outcomes. We examined HL among adults with multiple chronic conditions (CCs), using 2016 Behavioral Risk Factor Surveillance System data. Health literacy was measured by 3 subjective questions about difficulty with the following tasks: (1) obtaining health information or advice; (2) understanding spoken health information; and (3) understanding written health information. We estimated the prevalence of low HL (difficulty with ≥1 HL tasks) and used multiple logistic regression analysis to examine associations between HL and number of CCs. The prevalence of low HL was 13.8% overall and increased with the number of CCs from 10.6% among those with no CC to 24.7% among those with 3 or more CCs, with the latter having more than twice the adjusted odds of low HL compared with the former (adjusted odds ratio = 2.65; 95% confidence interval, 2.36-2.97). Efforts to improve HL in this population are needed.

Challenges with misclassification of American Indian/Alaska Native race and Hispanic ethnicity on death records in North Carolina occupational fatalities surveillance.

As frequently segregated and exploitative environments, workplaces are important sites in driving health and mortality disparities by race and ethnicity. Because many worksites are federally regulated, US workplaces also offer opportunities for effectively intervening to mitigate these disparities. Development of policies for worker safety and equity should be informed by evidence, including results from research studies that use death records and other sources of administrative data. North Carolina has a long history of Black/white disparities in work-related mortality and evidence of such disparities is emerging in Hispanic and American Indian/Alaska Native (AI/AN) worker populations. The size of Hispanic and AI/AN worker populations have increased in North Carolina over the last decade, and North Carolina has the largest AI/AN population in the eastern US. Previous research indicates that misidentification of Hispanic and AI/AN identities on death records can lead to underestimation of race/ethnicity-specific mortality rates. In this commentary, we describe problems and complexities involved in determining AI/AN and Hispanic identities from North Carolina death records. We provide specific examples of misidentification that are likely introducing bias to occupational mortality disparity documentation, and offer recommendations for improved data collection, analysis, and interpretation. Our primary recommendation is to build and maintain relationships with local community leadership, so that improvements in the ascertainment of race and ethnicity are grounded in the lived experience of workers from communities of color.