External Validation of the eRADAR Risk Score for Detecting Undiagnosed Dementia in Two Real-World Healthcare Systems.

BACKGROUND: Fifty percent of people living with dementia are undiagnosed. The electronic health record (EHR) Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) was developed to identify older adults at risk of having undiagnosed dementia using routinely collected clinical data. OBJECTIVE: To externally validate eRADAR in two real-world healthcare systems, including examining performance over time and by race/ethnicity. DESIGN: Retrospective cohort study PARTICIPANTS: 129,315 members of Kaiser Permanente Washington (KPWA), an integrated health system providing insurance coverage and medical care, and 13,444 primary care patients at University of California San Francisco Health (UCSF), an academic medical system, aged 65 years or older without prior EHR documentation of dementia diagnosis or medication. MAIN MEASURES: Performance of eRADAR scores, calculated annually from EHR data (including vital signs, diagnoses, medications, and utilization in the prior 2 years), for predicting EHR documentation of incident dementia diagnosis within 12 months. KEY RESULTS: A total of 7631 dementia diagnoses were observed at KPWA (11.1 per 1000 person-years) and 216 at UCSF (4.6 per 1000 person-years). The area under the curve was 0.84 (95% confidence interval: 0.84-0.85) at KPWA and 0.79 (0.76-0.82) at UCSF. Using the 90th percentile as the cut point for identifying high-risk patients, sensitivity was 54% (53-56%) at KPWA and 44% (38-51%) at UCSF. Performance was similar over time, including across the transition from International Classification of Diseases, version 9 (ICD-9) to ICD-10 codes, and across racial/ethnic groups (though small samples limited precision in some groups). CONCLUSIONS: eRADAR showed strong external validity for detecting undiagnosed dementia in two health systems with different patient populations and differential availability of external healthcare data for risk calculations. In this study, eRADAR demonstrated generalizability from a research sample to real-world clinical populations, transportability across health systems, robustness to temporal changes in healthcare, and similar performance across larger racial/ethnic groups.

Validating a predictive algorithm for suicide risk with Alaska Native populations.

INTRODUCTION: The American Indian/Alaska Native (AI/AN) suicide rate in Alaska is twice the state rate and four times the U.S. rate. Healthcare systems need innovative methods of suicide risk detection. The Mental Health Research Network (MHRN) developed suicide risk prediction algorithms in a general U.S. METHODS: We applied MHRN predictors and regression coefficients to electronic health records of AI/AN patients aged ≥13 years with behavioral health diagnoses and primary care visits between October 1, 2016, and March 30, 2018. Logistic regression assessed model accuracy for predicting and stratifying risk for suicide attempt within 90 days after a visit. We compared expected to observed risk and assessed model performance characteristics. RESULTS: 10,864 patients made 47,413 primary care visits. Suicide attempt occurred after 589 (1.2%) visits. Visits in the top 5% of predicted risk accounted for 40% of actual attempts. Among visits in the top 0.5% of predicted risk, 25.1% were followed by suicide attempt. The best fitting model had an AUC of 0.826 (95% CI: 0.809-0.843). CONCLUSIONS: The MHRN model accurately predicted suicide attempts among AI/AN patients. Future work should develop clinical and operational guidance for effective implementation of the model with this population.

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).

Medical Costs and Health Care Utilization Among Self-Insured Members with Carve-In Versus Carve-Out Pharmacy Benefits.

BACKGROUND: Pharmacy benefit can be purchased as part of an integrated medical and pharmacy health package-a carve-in model-or purchased separately and administered by an external pharmacy benefit manager-a carve-out model. Limited peer-reviewed information is available assessing differences in use and medical costs among carve-in versus carve-out populations. OBJECTIVE: To compare total medical costs per member per year (PMPY) and utilization between commercially self-insured members receiving carve-in to those receiving carve-out pharmacy benefits overall and by 7 chronic condition subgroups. METHODS: This study used deidentified data of members continuously enrolled in Cambia Health Solutions self-insured Blue plans without benefit changes from 2017 through 2018. Cambia covers 1.6 million members in Oregon, Washington, Idaho, and Utah. The medical cost PMPY comparison was performed using multivariable general linear regression with gamma distribution adjusting for age, gender, state, insured group size, case or disease management enrollment, 7 chronic diseases, risk score (illness severity proxy), and plan paid to total paid ratio (benefit richness proxy). Medical event objectives were assessed using multivariable logistic regression comparing odds of hospitalization and emergency department (ED) visit adjusting for the same covariates. Sensitivity analyses repeated the medical cost PMPY comparison excluding high-cost members, greater than $250,000 annually. Chronic condition subgroup analyses were performed using the same methods separately for members having asthma, coronary artery disease, chronic obstructive pulmonary disease, heart failure, diabetes mellitus, depression, and rheumatoid arthritis. RESULTS: There were 205,835 carve-in and 125,555 carve-out members meeting study criteria. Average age (SD) was 34.2 years (18.6) and risk score (SD) 1.1 (2.3) for carve-in versus 35.2 years (19.3) and 1.1 (2.4), respectively, for carve-out. Members with carve-in benefits had lower medical costs after adjustment (4%, P < 0.001), translating into an average $148 lower medical cost PMPY ($3,749 carve-out vs. $3,601 carve-in annualized). After adjustment, the carve-in group had an estimated 15% (P < 0.001) lower hospitalization odds and 7% (P < 0.001) lower ED visit odds. Of 7 chronic conditions, significantly lower costs (12%-17% lower), odds of hospitalization (22%-36% lower), and odds of ED visit (16%-20% lower) were found among members with carve-in benefits for 5 conditions (all P < 0.05). CONCLUSIONS: These findings suggest that integrated, carve-in pharmacy and medical benefits are associated with lower medical costs, fewer hospitalizations, and fewer ED visits. This study focused on associations, and defining causation was not in scope. Possible reasons for these findings include plan access to both medical and pharmacy data and data-informed care management and coordination. Future research should include investigation of integrated data use and its effect across the spectrum of integrated health plan offerings, provider partnerships, and analytic strategies, as well as inclusion of analyzing pharmacy costs to encompass total cost of care. DISCLOSURES: This study received no external funding. The study was jointly conducted by employees of Cambia Health Solutions and Prime Therapeutics, a pharmacy benefit manager servicing Cambia Health Solutions. Smith, Lam, Lockwood, and Pegus are employees of Cambia Health Solutions. Qiu and Gleason are employees of Prime Therapeutics.

Depression management interests among Alaska Native and American Indian adults in primary care.

BACKGROUND: Depression remains the second leading cause of disability worldwide. Symptoms of depression are expressed and experienced differently across cultural groups, impacting treatment decisions. Patient preferences predict service utilization, treatment selection and persistence, as well as health outcomes for medical and behavioral health conditions, including depression. We identified depression management preferences of Alaska Native and American Indian (AN/AI) people who receive care within a comprehensive, integrated, tribally owned and operated healthcare facility in Anchorage, Alaska. METHODS: Adult AN/AI patients who screened positive for depression (10 or greater on the Patient Health Questionnaire - 9 (PHQ-9)) completed a culturally-tailored decision-support tool to assess their depression management interests. RESULTS: The 125 eligible patients, who screened positive for depression, preferred counseling and medications to peer support groups, herbal remedies, and spiritual support. Those 18-39 years of age were more likely to prefer medications and less likely to prefer spirituality and peer support than those 40 years of age and older. Patients with moderate and severe depression were more likely to prefer exercise, healthy eating, and stress reduction than individuals with mild depression. LIMITATIONS: Women comprised 78% of the sample. Responses may not adequately represent the views of men. CONCLUSIONS: Counseling and medications should consistently be made available earlier in the course of depression management. Patient interest in exercise, stress reduction, and healthy eating to manage depression, especially among those with moderate and severe depression, offers opportunity for additional collaboration in an integrated care setting.

Text message reminders increased colorectal cancer screening in a randomized trial with Alaska Native and American Indian people.

BACKGROUND: Alaska Native and American Indian people (AN/AIs) have a high incidence of colorectal cancer (CRC) and CRC-related mortality. Screening can prevent death from CRC, but screening rates are low in racially and ethnically diverse populations. The authors conducted a randomized controlled trial using text messaging to increase CRC screening among unscreened AN/AIs in a tribal health care system in Anchorage, Alaska. METHODS: The intervention entailed up to 3 text messages sent 1 month apart. The authors randomized 2386 AN/AIs aged 40 to 75 years who were eligible for CRC screening to the intervention or usual-care control conditions. Screening status was ascertained from electronic health records 3 months and 6 months after the last text message. Hazard ratios (HRs) were estimated to evaluate the effectiveness of the intervention, stratified by age and sex. RESULTS: The intervention increased CRC screening for AN/AIs aged 50 to 75 years (HR, 1.42; 95% confidence interval [95% CI], 0.97-2.09) and aged 40 to 49 years (HR, 1.24; 95% CI, 0.95-1.62). Within both age groups, the HRs were higher for women (HR, 1.69 [95% CI, 1.02-2.80] and HR, 1.37 [95% CI, 1.01-1.88]) compared with men (HR, 1.09 [95% CI, 0.59-1.99] and HR, 0.90 [95% CI, 0.54-1.53]). Interaction analysis yielded P values of .55 and .09, respectively, for age and sex. CONCLUSIONS: A simple text messaging intervention was found to increase CRC screening rates in AN/AIs, a group with high CRC morbidity and mortality. Text messaging may be a cost-effective means of reducing CRC screening disparities in AN/AIs and other populations. Cancer 2017;123:1382-1389. © 2016 American Cancer Society.

Demographic, Clinical, and Service Utilization Factors Associated with Suicide-Related Visits among Alaska Native and American Indian Adults.

Alaska Native and American Indian people (AN/AIs) are disproportionately affected by suicide. Within a large AN/AI health service organization, demographic, clinical, and service utilization factors were compared between those with a suicide-related health visit and those without. Cases had higher odds of a behavioral health diagnosis, treatment for an injury, behavioral health specialty care visits, and opioid medication dispensation in the year prior to a suicide-related visit compared to gender-, age-, and residence- (urban versus rural) matched controls. Odds of a suicide-related visit were lower among those with private insurance and those with non-primary care ambulatory clinic visits.

Guideline concordant detection and management of depression among Alaska Native and American Indian people in primary care.

BACKGROUND: A tribal health organization in Alaska implemented a primary care depression screening, detection and management initiative amongst 55,000 Alaska Native/American Indian people (AN/AIs). OBJECTIVES: (a) To describe the proportion of AN/AIs screening positive for depression with depression noted or diagnosed and proportion with guideline concordant management and (b) to assess whether management varied by patient and provider factors. RESEARCH DESIGN: Secondary analysis of electronic and paper medical record information of 400 AN/AIs. MEASURES: Provider variables, patient demographics and patient clinical factors were electronically queried. Manual chart audits assessed depression notation, diagnoses and management within 12 weeks of positive screening. Multilevel ordinal logistic modelling assessed management by patient and provider factors. RESULTS: A depression diagnosis was present in 141 (35%) charts and 151 (38%) had depressive symptoms noted. Detection was higher among AN/AIs with moderate and severe depression (p<0.001). In total, 258 patients (66%) received guideline concordant management, 32 (8%) had some management, and 110 (28%) received no management. Younger patient age and increased provider tenure increased odds of management. CONCLUSIONS: Most AN/AIs screening positive for depression received initial guideline concordant management. Additional outreach to older patients and additional support for providers newer to practices appears warranted.

The effect of regular primary care utilization on long-term glycemic and blood pressure control in adults with diabetes.

PURPOSE: Complications of diabetes mellitus (DM) can be reduced with regular preventive care and guidance on self-management. We investigated whether regular primary care utilization could improve glycemic control and blood pressure control among American Indian/Alaska Native people with DM. METHODS: Patient characteristics, risk factors, and health outcomes were identified from electronic health records of a cohort of 2138 adults with DM who received care between 1995 and 2010 from Southcentral Foundation, a tribal provider. Bivariate probit regression models estimated the probability of glycemic control and blood pressure control as functions of regular primary care, risk factors, and access factors, while taking into account potential bias arising from voluntarily choosing to seek primary care services. RESULTS: Regular primary care was associated with an 89% increased likelihood of blood pressure control (95% confidence interval [CI], 59-118%) and 177% increased likelihood of glycemic control (95% CI, 123-222%). Increasing the distance by 10 miles to primary care services reduced the likelihood of regular primary care by 3.7% (95% CI, -2.9% to -4.6%). CONCLUSIONS: Regular primary care utilization over 16 years was associated with higher rates of blood pressure control and glycemic control for adults with DM. People living closer to primary care services had a better chance of improved outcomes.

Formative Evaluation to Assess Communication Technology Access and Health Communication Preferences of Alaska Native People.

OBJECTIVE: Information technology can improve the quality, safety, and efficiency of healthcare delivery by improving provider and patient access to health information. We conducted a nonrandomized, cross-sectional, self-report survey to determine whether Alaska Native and American Indian (AN/AI) people have access to the health communication technologies available through a patient-centered medical home. METHODS: In 2011, we administered a self-report survey in an urban, tribally owned and operated primary care center serving AN/AI adults. Patients in the center's waiting rooms completed the survey on paper; center staff completed it electronically. RESULTS: Approximately 98% (n = 654) of respondents reported computer access, 97% (n = 650) email access, and 94% (n = 631) mobile phone use. Among mobile phone users, 60% had Internet access through their phones. Rates of computer access (p = .011) and email use (p = .005) were higher among women than men, but we found no significant gender difference in mobile phone access to the Internet or text messaging. Respondents in the oldest age category (65-80 years of age) were significantly less likely to anticipate using the Internet to schedule appointments, refill medications, or communicate with their health care providers (all p < .001). CONCLUSION: Information on use of health communication technologies enables administrators to deploy these technologies more efficiently to address health concerns in AN/AI communities. Our results will drive future research on health communication for chronic disease screening and health management.

Medical home implementation and trends in diabetes quality measures for AN/AI primary care patients.

AIMS: Patient-centered medical home (PCMH) principles including provider continuity, coordination of care, and advanced access align with healthcare needs of patients with Type II diabetes mellitus (DM-II). We investigate changes in trend for DM-II quality indicators after PCMH implementation at Southcentral Foundation, a tribal health organization in Alaska. METHODS: Monthly rates of DM-II incidence, hemoglobin A1c (HbA1c) measurements, and service utilization were calculated from electronic health records from 1996 to 2009. We performed interrupted time series analysis to estimate changes in trend. RESULTS: Rates of new DM-II diagnoses were stable prior to (p=0.349) and increased after implementation (p<0.001). DM-II rates of HbA1c screening increased, though not significantly, before (p=0.058) and remained stable after implementation (p=0.969). There was non-significant increasing trend in both periods for percent with average HbA1c less than 7% (53 mmol/mol; p=0.154 and p=0.687, respectively). Number of emergency visits increased before (p<0.001) and decreased after implementation (p<0.001). Number of inpatient days decreased in both periods, but not significantly (p=0.058 and p=0.101, respectively). CONCLUSIONS: We found positive changes in DM-II quality trends following PCMH implementation of varying strength and onset of change, as well as duration of sustained trend.

Estimating cotinine associations and a saliva cotinine level to identify active cigarette smoking in alaska native pregnant women.

Studies indicate nicotine metabolism varies by race and can change during pregnancy. Given high rates of tobacco use and limited studies among Alaska Native (AN) women, we estimated associations of saliva cotinine levels with cigarette use and second-hand smoke (SHS) exposure and estimated a saliva cotinine cutoff to distinguish smoking from non-smoking pregnant AN women. Using questionnaire data and saliva cotinine, we utilized multi-variable linear regression (n = 370) to estimate cotinine associations with tobacco use, SHS exposure, demographic, and pregnancy-related factors. Additionally, we estimated an optimal saliva cotinine cutoff for indication of active cigarette use in AN pregnant women using receiver operating characteristic (ROC) curve analysis (n = 377). Saliva cotinine significantly decreased with maternal age and significantly increased with cigarettes smoked per day, SHS exposure, and number of previous full term pregnancies. Using self-reported cigarette use in the past 7 days as indication of active smoking, the area under the ROC curve was 0.975 (95 % CI: 0.960-0.990). The point closest to 100 % specificity and sensitivity occurred with a cotinine concentration of 1.07 ng/mL, which corresponded to sensitivity of 94 % and specificity of 94 %. We recommend using a saliva cotinine cutoff of 1 ng/mL to distinguish active smoking in pregnant AN women. This cutoff is lower than used in other studies with pregnant women, most likely due to high prevalence of light or intermittent smoking in the AN population. Continued study of cotinine levels in diverse populations is needed.

Prenatal alcohol exposure among Alaska Native/American Indian infants.

BACKGROUND: Recent reports indicate a decline in rates of Fetal Alcohol Syndrome (FAS) among Alaska Native and American Indian (AN/AI) infants. Nevertheless, AN/AI infants remain disproportionately impacted by the effects of prenatal alcohol exposure. METHODS: AN/AI pregnant women in their 3rd trimester completed a questionnaire on demographic data and the amount and frequency of their alcohol consumption in the month prior to conception and during pregnancy. Differences across demographics and trimesters were tested with the Chi-square, Fisher's exact or McNemar's test as appropriate. RESULTS: Of the 125 participants, 56% (n = 71) reported no alcohol consumption in the 1st through 3rd trimesters of pregnancy; 30% (n = 38) of the 125 participants also reported no alcohol consumption in the month before pregnancy. Of the 43% (n = 54) who reported consuming alcohol during pregnancy (1st, 2nd and/or 3rd trimester), most (35%) reported alcohol use only in the 1st trimester. Binge drinking in the 1st or 2nd trimester was reported amongst 20% (n = 25) of participants with an additional 18% (n = 29) reporting binge drinking in the month prior to pregnancy. Women who reported pre-conception binge drinking were significantly more likely to report binge drinking during their 1st trimester (p < 0.0001) and 2nd trimester (p < 0.0001). A history of tobacco use (p = 0.0403) and cigarette smoking during pregnancy (p < 0.0001) were also associated with binge drinking during pregnancy. CONCLUSION: Among study participants, reported use of alcohol was primarily limited to pre-conception and the 1st trimester, with a dramatic decrease in the 2nd and 3rd trimesters. Prevention programmes, such as the Alaska FAS Prevention Project, may have contributed to observed decreases in the 2nd and 3rd trimesters. Additional study and focus on pre-conception, the 1st trimester and binge drinking, as well as tobacco use might augment Fetal Alcohol Spectrum Disorder prevention efforts.

Tribal implementation of a patient-centred medical home model in Alaska accompanied by decreased hospital use.

BACKGROUND: Between 1995 and 1998, tribally owned Southcentral Foundation (SCF) incrementally assumed responsibility from the Indian Health Service (IHS) for primary care services on the Alaska Native Medical Center (ANMC) campus in Anchorage, Alaska. In 1999, SCF began implementing components of a Patient-Centered Medical Home (PCMH) model to improve access and continuity of care. OBJECTIVE: To evaluate hospitalisation trends before, during and after PCMH implementation. DESIGN: Time series analysis of aggregated medical record data. METHODS: Regression analysis with correlated errors was used to estimate trends over time for the percent of customer-owners hospitalised overall and for specific conditions during 4 time periods (March 1996-July 1999: SCF assumes responsibility for primary care; August 1999-July 2000: PCMH implementation starts; August 2000-April 2005: early post-PCMH implementation; May 2005-December 2009: later post-PCMH implementation). Analysis was restricted to individuals residing in Southcentral Alaska and receiving health care at ANMC. RESULTS: The percent of SCF customer-owners hospitalised per month for any reason was steady before and during PCMH implementation, declined steadily immediately following implementation and subsequently stabilised. The percent hospitalised per month for unintentional injury or poisoning also declined during and after the PCMH implementation. Among adult asthma patients, the percent hospitalised annually for asthma declined prior to and during implementation and remained lower thereafter. The percent of heart failure patients hospitalised annually for heart failure remained relatively constant throughout the study period while the percent of hypertension patients hospitalised for hypertension shifted higher between 1999 and 2002 compared to earlier and later years. CONCLUSION: Implementation of PCMH at SCF was accompanied by decreases in the percent of customer-owners hospitalised monthly for any reason and for unintentional injury and in the percent of asthma patients hospitalised annually for asthma. Increased accessibility to empanelled care teams may have contributed to decreased need for hospitalisation.

Depression and type 2 diabetes among Alaska Native primary care patients.

OBJECTIVES: To assess whether type 2 diabetes mellitus (DM2) and DM2 complications are associated with presence and severity of depression among Alaska Native and American Indian people (AN/Als). DESIGN: Retrospective, cross-sectional analysis of medical records. SETTING: Southcentral Foundation Primary Care Center (SCF-PCC) in Anchorage, Alaska. PARTICIPANTS: Total of 23,529 AN/AI adults. PRIMARY OUTCOME MEASURES: Patient Health Questionnaire (PHQ) scores (0-9 negative, 10-14 mild, 15-19 moderate, 20+ severe) and DSM-IV depression diagnosis. RESULTS: DM2 prevalence was 6% (n=1,526). Of those with DM2, 19% (n = 292) had one or more DM2 complications and average HbAlc was 7.1%. Prevalence of depression diagnosis was similar between AN/Als with and without DM2 (P = .124). Among those screened for depression (n = 12,280), there were similar rates of PHQ severity between those without and with DM2; respectively 4% (n = 452) vs 4% (n = 42) mild, 4% (n = 404) vs 3% (n = 29) moderate, and 4% (n = 354) vs 4% (n = 38) severe. In multivariable logistic regression, DM2 was not associated with PHQ severity (OR 1.02, 95% CI 0.81-1.27) or depression diagnosis (OR 1.27, 95% CI 1.00-1.62). Increased odds of depression and higher depression severity were associated with female sex, younger age, being unmarried, substance abuse/dependence, and increased ambulatory visits. Depression was associated with number of other chronic conditions among AN/Als with DM2 but not with number of complications. CONCLUSIONS: Presence and severity of depression among AN/Al primary care patients was not significantly associated with DM2 nor DM2 complications, despite a slightly higher rate of depression diagnosis among those with DM2.

The impact of patient and provider factors on depression screening of american Indian and alaska native people in primary care.

INTRODUCTION: The US Preventive Services Task Force recommends routine depression screening in primary care, yet regular screening does not occur in most health systems serving Alaska Native and American Indian people. The authors examined factors associated with administration of depression screening among Alaska Native and American Indian people in a large urban clinic. METHODS: Medical records of 18 625 Alaska Native and American Indian adults were examined 1 year after implementation of a depression screening initiative. Multilevel logistic regression models examined associations between patient and provider factors and administration of the Patient Health Questionnaire-9. RESULTS: Forty-seven percent of patients were screened. Women were more likely than men to be screened (50% vs 43%, P < .001). Increased screening odds were associated with older age, increased service use, and chronic disease (P < .001) but not with substance abuse disorders or prior antidepressant dispensation. Women previously diagnosed with depression had higher odds of screening (P = .002). Men seen by male providers had higher odds of screening than did men seen by female providers (P = .040). Screening rates peaked among providers with 2 to 5 years of employment with the clinic. LIMITATIONS: Cross-sectional analysis of medical record data was of unknown reliability; there were limited sociodemographic data. CONCLUSIONS: Even with significant organizational support for annual depression screening, primary care providers systematically missed men and patients with infrequent primary care visits. Outreach to male patients and additional supports for primary care providers, especially in the first years of practice, may improve screening and treatment for depression among Alaska Native and American Indian people.

Depression prevalence and associated factors among Alaska Native people: the Alaska education and research toward health (EARTH) study.

BACKGROUND: Few studies have investigated depression among Alaska Native people (ANs). Depression prevalence and associated factors among EARTH Alaska study participants are described. METHODS: The nine-item Patient Health Questionnaire (PHQ-9) assessed depression among 3771 ANs. Participants with PHQ-9 scores≥10 out of 27 were classified as positive for depression. Logistic regression analyses evaluated odds of scoring positive versus negative for depression by demographic, cultural, then health and lifestyle factors. RESULTS: Twenty percent of women and 13% of men scored positive for depression. Univariate and multivariate models were fit separately for men and women. Among demographic factors, below median income was associated with positive depression scores for both genders. Among men, odds of depression were higher if unmarried and/or if highest educational level was less than high school. Women 34 to 59 years of age had increased odds of scoring positive. Little or no identification with tribal tradition was associated with increased odds of depression in women and decreased odds in men. For both genders, chronic physical conditions and poorer self-reported health were associated with positive depression scores then binge alcohol drinking and current tobacco use increased odds of depression among women only. LIMITATIONS: Factors analyzed were self-reported without clinician follow-up in a non-random convenience sample of adults. CONCLUSIONS: Depression is common among ANs with rates comparable to other indigenous cross-sectional investigations. Depression is associated with lower income and poorer physical health. Prevention and intervention efforts should consider gender as other associated factors varied between men and women.

Tobacco use among Alaska Native people in the EARTH study.

INTRODUCTION: While aggregate rates of tobacco use for Alaska Native (AN) and American Indian people are high, use rates vary among populations and factors associated with use are not fully understood. For AN people living in three regions of Alaska, we present prevalence of tobacco use as well as factors associated with use. METHODS: Using data from 3,828 participant questionnaires, associations with tobacco use are examined with chi-square tests and multivariate logistic regression. Covariates investigated include demographic factors, identification with tribal tradition, language spoken in the home, binge drinking, and depression screening results. RESULTS: Current smoking was more prevalent among men. In multivariate analysis, higher likelihood of current smoking was found for participants with these characteristics: younger, unmarried, low income, and increased frequency of binge drinking. For women, additional characteristics included no high school diploma and positive depression screening. Participants from southeastern Alaska were less likely to be current smokers. Current smokeless tobacco use rates were similar across gender. Higher likelihood of current smokeless use was found in southwestern Alaska and among those with positive depression screening. Women with low income and who reported at least some identification with tribal tradition had increased odds of current smokeless use. More than 20% of smokeless tobacco users reported initiating by age 10. DISCUSSION: Rates of tobacco use by AN people continue to be higher than other U.S. populations. Tobacco initiation prevention efforts targeting AN youth at an early age are recommended, given the early age of initiation demonstrated in this study.