Identification of Sociodemographic, Clinical, and Genetic Factors to Aid Alaska Native and American Indian People to Successfully Quit Smoking.

INTRODUCTION: Alaska Native and American Indian (ANAI) people have a smoking prevalence of 23%. Nicotine metabolite ratio (NMR) and genetic testing may enable tailored selection of tobacco cessation medication. AIMS AND METHODS: The purpose of this study was to evaluate the relative contributions of NMR, cessation medication, demographics, and tobacco use history to cessation. Participants were recruited into an observational cohort study consisting of a baseline visit prior to their quit date and 6-week follow-up. Demographic and tobacco use surveys and blood, urine, and breath samples were collected at each visit. Electronic health records were queried for cessation medications. NMR was categorized into slow or normal nicotine metabolism phenotypes (<0.31 and ≥ 0.31, respectively). The main outcome was cessation at 6 weeks. Analyses consisted of descriptive statistics, medication and phenotype concordance, and estimates of relative risk (RR) of quitting. RESULTS: We enrolled 151 ANAI adults who smoked cigarettes daily. Two-thirds had normal nicotine metabolism phenotype. Retrospective medication and phenotype concordance was 39%. The overall quit rate was 25%. No demographic factors or tobacco use history were associated with quit success. Varenicline and bupropion increased the likelihood of quitting (RR = 2.93 [1.42, 6.03] and RR = 2.52 [1.12, 5.64], respectively) compared to nicotine replacement therapy. Non-optimal medication and phenotype concordance decreased likelihood of quit success (RR = 0.44 [0.22, 0.91]) compared to optimal concordance. CONCLUSIONS: This exploratory study found associations between quit success and tobacco cessation medication as well as medication and phenotype concordance. Additional research is needed to assess use of NMR for treatment selection among ANAI people. IMPLICATIONS: These results broadly support additional community-engaged research to improve medication and phenotype concordance in tribal health settings. Such future research on implementing meditcation and phenotype concordance holds promise to improve expectations, quit success, and health outcomes amongst individuals attempting to quit smoking.

COVID-19 vaccination in urban American Indian and Alaska Native children: Parental characteristics, beliefs and attitudes associated with vaccine acceptance.

Background: Little is known about vaccination rates for American Indian and Alaska Native (AI/AN) parents and their children, or parental decisions in this regard. Improving vaccination rates is a serious concern due to the disproportionate incidence and morbidity of COVID-19 in AI/AN people. Purpose: Our goal was to describe urban AI/AN parental attributes associated with COVID-19 vaccination of their children. Methods: Survey participants (n = 572) were ≥18 years of age, had children ≥5 years of age, AI/AN, and seen at one of six urban health organizations serving primarily AI/AN people within the prior year. They were asked about gender, age, education, marital status, perceived stress, trauma history, whether they had received the COVID-19 vaccine, tested positive for COVID-19 in the past, and if their child was vaccinated. They were also asked about 16 vaccine hesitancy reasons. Results: Parental vaccination rate was 82%, with 59% of their children vaccinated. Parents who vaccinated their children were older, had higher education, lower stress and trauma, and were more likely to be vaccinated compared to parents who did not vaccinate their children. Forty-two percent of parents indicated they would likely vaccinate their unvaccinated child in the future. Sixteen vaccine hesitancy reasons revealed four factors: distrust, inconvenience, lack of concern about the pandemic, and AI/AN concerns. Parents who had no plans to vaccinate their children had the highest vaccine distrust and lack of concern about the pandemic. Parents with greater vaccine distrust and AI/AN specific concern reported significantly greater trauma history and higher levels of education. Conclusion: Even though vaccination rates for AI/AN parents and children are high, the consequences of COVID-19 for AI/AN people are more severe than for other US populations. Providers should use trauma-informed, trust-building and culturally competent communication when discussing choices about vaccination with AI/AN parents.

Evaluating COVID-19 Response Within a Tribal Health Care Organization.

INTRODUCTION: Health care organizations of all types have adapted in response to COVID-19. Responding to the pandemic has varied across organizations and there are few standardized frameworks from which to evaluate an organizational response. This article reports COVID-19 responses by a tribal health care organization using a synthesized evaluation framework that integrated the organizational values and allowed for timely implementation of responses during this COVID-19 public health emergency. METHODS: The authors categorized each COVID-19 response into six domains, including leadership practices, patient engagement, operations management, teamwork and communication, public health, and external partnerships. Responses were analyzed by domain and across time. RESULTS: COVID-19 responses included medical alerts, modifying delivery of care, establishing testing and vaccination sites, additional benefits for employees, as well as new processes for communication between employees and senior leadership. COVID-19 responses were most frequently categorized into the operation management domain (80%). Many responses, especially those that considered patients, employees, and the community, also fit other domains. DISCUSSION: Operation management was the most frequent domain because the pandemic emerged rapidly and required swift, agile, action-oriented responses from the tribal health care organization. The majority of COVID-19 responses involved multiple, not single, domains. CONCLUSION: Our evaluation approach captured areas of importance to the tribal health organization and may be pertinent for other indigenous organizations and rural communities. It is especially important to consider tribal perspectives in response to COVID-19 because of the prior history with Western medicine and infectious diseases, and health care limitations experienced due to rurality.

Retention in a 6-Month Smoking Cessation Study Among Alaska Native and American Indian People.

Participant retention in longitudinal health research is necessary for generalizable results. Understanding factors that correlate with increased retention could improve retention in future studies. Here, we describe how participant and study process measures are associated with retention in a longitudinal tobacco cessation research study performed in Anchorage, Alaska. Specifically, we conducted a secondary analysis exploring retention among 151 Alaska Native and American Indian (ANAI) people and described our study processes using study retention categories from a recent meta-analysis. We found that our study processes influence retention among ANAI urban residents more than measures collected about the participant. For study process measures, calls where a participant answered and calls participants placed to the study team were associated with higher retention. Calls where the participant did not answer were associated with lower retention. For participant measures, only lower annual income was associated with lower retention at 6 weeks. Promoting communication from participants to the study team could improve retention, and alternative communication methods could be used after unsuccessful calls. Finally, categorizing our study retention strategies demonstrated that additional barrier-reduction strategies might be warranted.

Patterns of Healthcare Use and Mortality After Alzheimer's Disease or Related Dementia Diagnosis Among Alaska Native Patients: Results of a Cluster Analysis in a Tribal Healthcare Setting.

Background: Alaska Native and American Indian (AN/AI) people represent a rapidly aging population with disproportionate burdens of Alzheimer's disease and related dementias (ADRD) risk factors. Objective: To characterize healthcare service use patterns and mortality in the years following ADRD diagnosis for patients in an Alaska Native Tribal health system. Methods: The study sample included all AN/AI patients aged 55 or older with an ADRD diagnosis who were seen between 2012-2018 (n = 407). We used cluster analysis to identify distinct patterns of healthcare use for primary care, emergency and urgent care, inpatient hospital stays, and selected specialty care. We compared demographic and clinical factors between clusters and used regression to compare mortality. Results: We identified five clusters of healthcare service use patterns after ADRD diagnosis: 1) people who use a low amount of all services (n = 107), 2) people who use a high amount of all services (n = 60), 3) people who use a high amount of primary and specialty care (n = 105), 4) people who use a high amount of specialty care (n = 65), and 5) people who use a high amount of emergency and urgent care (n = 70). The cluster with the highest use had the greatest proportion of comorbidities and had a 2.3-fold increased risk of mortality compared to the cluster with the lowest healthcare service use. Conclusion: Results indicate that those receiving the most services had the greatest healthcare-related needs and increased mortality. Future research could isolate factors that predict service use following ADRD diagnosis and identify other differential health risks.

Patient and primary care perspectives on hypertension management: short report of a qualitative study in a tribal health system.

The prevalence of self-reported hypertension is higher among Alaska Native and American Indian (ANAI) individuals than in the majority USA population. Although hypertension is the primary modifiable risk factor for cardiovascular disease and stroke, it can be difficult to manage successfully. The objective of this study was to explore patients' and providers' perspectives about hypertension, hypertension management strategies, and patient-provider communication strategies within a tribally-owned and operated health system in Alaska. We conducted four focus groups that included 16 ANAI patients and five primary care providers. Patient participants tended to consider hypertension a transient state, in contrast with providers' understanding of hypertension as a chronic condition. Differences were noted in participants' perceptions regarding providers' counselling and education efforts, with providers feeling that current strategies are effective and patients desiring a more personalised discussion about hypertension. Patients expressed preferences for behaviour change approaches compared with pharmacotherapy; providers often resorted to medication as a first step towards controlling blood pressure. Our findings suggest areas of potentially promising future research with respect to patient-provider communication and treatment of hypertension.

Choice of home blood pressure monitoring device: the role of device characteristics among Alaska Native and American Indian peoples.

BACKGROUND: Home blood pressure monitoring (HBPM) is an effective tool in treatment and long-term management of hypertension. HBPM incorporates more data points to help patients and providers with diagnosis and management. The characteristics of HBPM devices matter to patients, but the relative importance of the characteristics in choosing a device remains unclear. METHODS: We used data from a randomized cross-over pilot study with 100 Alaska Native and American Indian (ANAI) people with hypertension to assess the choice of a wrist or arm HBPM device. We use a random utility framework to evaluate the relationship between stated likely use, perceived accuracy, ease of use, comfort, and participant characteristics with choice of device. Additional analyses examined willingness to change to a more accurate device. RESULTS: Participants ranked the wrist device higher compared to the arm on a 5-point Likert scale for likely use, ease of use, and comfort (0.3, 0.5, 0.8 percentage points, respectively). Most participants (66%) choose the wrist device. Likely use (wrist and arm devices) was related to the probability of choosing the wrist (0.7 and - 1.4 percentage points, respectively). Independent of characteristics, 75% of participants would be willing to use the more accurate device. Ease of use (wrist device) and comfort (arm device) were associated with the probability of changing to a more accurate device (- 1.1 and 0.5 percentage points, respectively). CONCLUSION: Usability, including comfort, ease, and likely use, appeared to discount the relative importance of perceived accuracy in the device choice. Our results contribute evidence that ANAI populations value accurate HBPM, but that the devices should also be easy to use and comfortable to facilitate long-term management.

Using the electronic health record to identify suicide risk factors in an Alaska Native Health System.

Suicide rates are higher in some Alaska Native and American Indian communities than the general U.S. population. Screening for suicide risk typically requires self-report, but many people may not engage with conventional screening because of distrust or are reluctant to disclose thoughts of suicide. Resource-sensitive methods of detecting suicide risk are needed. This study identifies routinely collected electronic health record data to identify demographic, clinical, and utilization factors associated with suicide-related visits in a tribal health care system. In this retrospective, case-control study, cases were defined as any person with a suicide-related visit from 2012 to 2015. Cases and controls were matched by age, sex, and urban/rural residence. We used conditional logistic regression to estimate odds ratios, which were interpreted as prevalence ratios (PR) based on the rare outcome assumption. The dataset included 314 cases and 1,169 controls. In the year before the index visit, cases had higher prevalence of poisoning or overdose (PR = 13.4, 95% confidence interval [CI] [3.5, 51.7]), emergency department and urgent care visits (PR = 15.8, 95% CI [6.6, 38.1]), and hospitalizations (PR = 4.5, 95% CI [3.0, 6.8]). Electronic health records can be used to identify factors that are significantly associated with suicide risk among those who may not be flagged by screening. Risk detection through electronic health record assessment might increase clinical workload in the short term, but this change would be offset by downstream prevention of suicide-related events. Such efforts could improve suicide risk detection and help to improve suicide-related health disparities in Alaska Native and American Indian populations. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Identifying Client Targets for Improved Mobilization and Uptake of Integrated Family Planning and Reproductive Health in Environmental Programs in Kenya.

Background: We conducted a population health environment program in Lake Victoria Basin (LVB) and assessed incorporation and integration of family planning with environmental conservation. Methods: Routine program data were collected from clients by community-based distributors from four environmental community-based organizations. Multivariable regressions identified factors associated with distribution of: (1) oral contraceptive pills to women, (2) male condoms, and (3) integrated family planning and environmental messaging. Results: April 2015 through May 2016, 10,239 client encounters were completed, with 56% made by men. We distributed contraceptive pills at 28% of client encounters. Multivariable modeling showed this was more likely for women <40 years old (p < 0.001) and was less likely for women attending household (30%) and group sessions (46%) compared to individual sessions (p < 0.001). Male condoms were distributed at 73% of client encounters; (p < 0.01, all) women were half as likely to receive condoms than men, and single and widowed clients were more likely than married clients to receive condoms. Integrated messaging occurred at 89% of client encounters, and was 85% more likely for women, increased with client age, and was less likely for single and widowed persons. Exit interviews with 87 clients (42% male, 58% female) confirmed program data by report of commodities received: 27% contraceptive pills, 75% male condoms, 91% integrated messaging. Conclusions: Partnership with environmental conservation organizations effectively expanded family planning and reproductive health to non-traditional audiences and men among rural communities surrounding LVB-Kenya. Specific client subgroups can be targeted for improved mobilization and uptake of services.

Nicotine metabolism and its association with CYP2A6 genotype among Indigenous people in Alaska who smoke.

Prevalence of smoking is higher in Alaska Native and American Indian (ANAI) populations living in Alaska than the general US population. Genetic factors contribute to smoking and cessation rates. The objective of this study was to compare CYP2A6 genetic variation and CYP2A6 enzyme activity toward nicotine in an ANAI population. ANAI (N = 151) people trying to quit smoking were recruited. DNA samples were genotyped for CYP2A6 variants *1X2A, *1B, *2, *4, *9, *10, *12, and *35. Multiple nicotine metabolites were measured in plasma and urine samples, including cotinine and 3'-hydroxycotinine used to determine CYP2A6 activity (e.g., nicotine metabolite ratio [NMR]). We calculated summary statistics for all of the genotypes and metabolites and assigned CYP2A6 activity scores based on known information. We studied the association of CYP2A6 variants with the NMR and smoking histories. The overall frequency of the CYP2A6*1B gain of function allele was high in the ANAI versus non-ANAI populations in other studies. Both *4 null and *9 decrease of function alleles had frequencies similar to previous studies of ANAI populations. In a multivariate analysis, the genotype-inferred CYP2A6 activity score was associated with both plasma and urine NMR (p value = 8.56E-08 and 4.08E-13, respectively). Plasma NMR was also associated with duration of smoking (p value < 0.01) but not urinary total nicotine equivalents uncorrected for creatinine (TNE9uc ) or biological sex. Urine NMR was significantly associated (p value < 0.01) with TNE9uc . Variation in NMR in this ANAI population is explained in part by CYP2A6 genetic variation.

Home Blood Pressure Monitoring Devices: Device Performance in an Alaska Native and American Indian Population.

Objectives: Home blood pressure monitoring (HBPM) is an important component of blood pressure (BP) management. We assessed performance of two HBPM devices among Alaska Native and American Indian people (ANAIs). Methods: We measured BP using Omron BP786 arm cuff, Omron BP654 wrist cuff, and Baum aneroid sphygmomanometer in 100 ANAIs. Performance was assessed with intraclass correlation, paired t-tests, and calibration models. Results: Compared to sphygmomanometer, average BP was higher for wrist cuff (systolic = 4.8 mmHg and diastolic = 3.6 mmHg) and varied for arm cuff (systolic = -1.5 mmHg and diastolic = 2.5 mmHg). Calibration increased performance from grade B to A for arm cuff and from D to B for wrist cuff. Calibration increased false negatives and decreased false positives. Discussion: The arm HBPM device is more accurate than the wrist cuff among ANAIs with hypertension. Most patients are willing to use the arm cuff when accuracy is discussed.

Differences in service utilization at an urban tribal health organization before and after Alzheimer's disease or related dementia diagnosis: A cohort study.

INTRODUCTION: The prevalence, mortality, and healthcare impact of Alaska Native and American Indian (ANAI) people with Alzheimer's disease and related dementias (ADRD) are unknown. METHODS: We conducted a cohort study of electronic health record data that compared healthcare service utilization in patients with and without an ADRD diagnosis. Zero-inflated negative binomial regression with robust standard errors was used to estimate utilization rates. RESULTS: Compared with patients without ADRD, utilization rates were similar before but higher after ADRD diagnosis. For those with diagnosed ADRD, utilization increased gradually over time with sharp upward change during the year of diagnosis. DISCUSSION: This is the only study quantifying changes in healthcare service utilization before and after ADRD diagnosis among ANAI people, which is crucial for tailoring geriatric care for ANAI populations.

Simple mathematical models do not accurately predict early SIV dynamics.

Upon infection of a new host, human immunodeficiency virus (HIV) replicates in the mucosal tissues and is generally undetectable in circulation for 1-2 weeks post-infection. Several interventions against HIV including vaccines and antiretroviral prophylaxis target virus replication at this earliest stage of infection. Mathematical models have been used to understand how HIV spreads from mucosal tissues systemically and what impact vaccination and/or antiretroviral prophylaxis has on viral eradication. Because predictions of such models have been rarely compared to experimental data, it remains unclear which processes included in these models are critical for predicting early HIV dynamics. Here we modified the "standard" mathematical model of HIV infection to include two populations of infected cells: cells that are actively producing the virus and cells that are transitioning into virus production mode. We evaluated the effects of several poorly known parameters on infection outcomes in this model and compared model predictions to experimental data on infection of non-human primates with variable doses of simian immunodifficiency virus (SIV). First, we found that the mode of virus production by infected cells (budding vs. bursting) has a minimal impact on the early virus dynamics for a wide range of model parameters, as long as the parameters are constrained to provide the observed rate of SIV load increase in the blood of infected animals. Interestingly and in contrast with previous results, we found that the bursting mode of virus production generally results in a higher probability of viral extinction than the budding mode of virus production. Second, this mathematical model was not able to accurately describe the change in experimentally determined probability of host infection with increasing viral doses. Third and finally, the model was also unable to accurately explain the decline in the time to virus detection with increasing viral dose. These results suggest that, in order to appropriately model early HIV/SIV dynamics, additional factors must be considered in the model development. These may include variability in monkey susceptibility to infection, within-host competition between different viruses for target cells at the initial site of virus replication in the mucosa, innate immune response, and possibly the inclusion of several different tissue compartments. The sobering news is that while an increase in model complexity is needed to explain the available experimental data, testing and rejection of more complex models may require more quantitative data than is currently available.