Preventive care of older urban American Indians and Alaska natives in primary care

Representation of American Indian and Alaska Native Individuals in Academic Medical Training

IMPORTANCE

Identifying gaps in inclusivity of Indigenous individuals is key to diversifying academic medical programs, increasing American Indian and Alaska Native representation, and improving disparate morbidity and mortality outcomes in American Indian and Alaska Native populations.

OBJECTIVE

To examine representation of American Indian and Alaska Native individuals at different stages in the 2018-2019 academic medical training continuum and trends (2011-2020) of American Indian and Alaska Native representation in residency specialties.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional, population-based analysis was conducted using self-reported race and ethnicity data on trainees from the Association of American Medical Colleges (2018), the Accreditation Council for Graduate Medical Education (2011-2018), and the US Census (2018). Data were analyzed between February 18, 2020, and March 4, 2021.

EXPOSURES

Enrolled trainees at specific stages of medical training.

MAIN OUTCOMES AND MEASURES

The primary outcome was the odds of representation of American Indian and Alaska Native individuals at successive academic medical stages in 2018-2019 compared with White individuals. Secondary outcomes comprised specialty-specific proportions of American Indian and Alaska Native residents from 2011 to 2020 and medical specialty-specific proportions of American Indian and Alaska Native physicians in 2018. Fisher exact tests were performed to calculate the odds of American Indian and Alaska Native representation at successive stages of medical training. Simple linear regressions were performed to assess trends across residency specialties.

RESULTS

The study data contained a total of 238 974 607 White and American Indian and Alaska Native US citizens, 24 795 US medical school applicants, 11 242 US medical school acceptees, 10 822 US medical school matriculants, 10 917 US medical school graduates, 59 635 residents, 518 874 active physicians, and 113 168 US medical school faculty. American Indian and Alaska Native individuals had a 63% lower odds of applying to medical school (odds ratio [OR], 0.37; 95% CI, 0.31-0.45) and 48% lower odds of holding a full-time faculty position (OR, 0.52; 95% CI, 0.44-0.62) compared with their White counterparts, yet had 54% higher odds of working in a residency specialty deemed as a priority by the Indian Health Service (OR, 1.54; 95% CI, 1.09-2.16). Of the 33 physician specialties analyzed, family medicine (0.55%) and pain medicine (0.46%) had more than an average proportion (0.41%) of American Indian and Alaska Native physicians compared with their representation across all specialties.

CONCLUSIONS AND RELEVANCE

This cross-sectional study noted 2 distinct stages in medical training with significantly lower representation of American Indian and Alaska Native compared with White individuals. An actionable framework to guide academic medical institutions on their Indigenous diversification and inclusivity efforts is proposed.

National Health Data and Older American Indians and Alaska Natives

The population of older American Indians and Alaska Natives (AI/ANs) is growing rapidly, but few population-based reports of the health of older AI/ANs exist. The objective was to assess the representation of older AI/ANs in population based health data sets. Health- and aging-related population-based data sets were reviewed for inclusion of AI/AN adults. Data sets were identified using online searches of the Inter-University Consortium for Political and Social Research and the National Archive of Computerized Data on Aging, and federal health care and research agencies. Unweighted sample sizes of AI/ANs were collected for each study by age group. Of 190 data sets reviewed, only 25 (13%) contained at least 100 AI/ANs ages 65 years or older, and less than 5% contained 500 or more. Older AI/ANs are underrepresented in national data sets. Concerted efforts to improve data collection regarding the health and health care needs of this population are needed.

Geographic variations in access and utilization of cancer screening services: examining disparities among American Indian and Alaska Native Elders

Background

Despite recommendations for cancer screening for breast and colorectal cancer among the Medicare population, preventive screenings rates are often lower among vulnerable populations such as the small but rapidly growing older American Indian and Alaska Native (AIAN) population. This study seeks to identify potential disparities in the availability of screening services, distance to care, and the utilization of cancer screening services for Medicare beneficiaries residing in areas with a higher concentration of AIAN populations.

Methods

Using the county (n =3,225) as the level of analysis, we conducted a cross-sectional analysis of RTI International’s Spatial Impact Factor Data (2012) to determine the level of disparities for AIAN individuals. The outcomes of interest include: the presence of health care facilities in the county, the average distance in miles to the closest provider of mammography and colonoscopy (analyzed separately) and utilization of screening services (percent of adults aged 65 and older screened by county).

Results

Counties with higher concentrations of AIAN individuals had greater disparities in access and utilization of cancer screening services. Even after adjusting for income, education, state of residence, population 65 and older and rurality, areas with higher levels of AIAN individuals were more likely to see disparities with regard to health care services related to mammograms (p ≤ .05; longer distance, lower screening) and colonoscopies (p ≤ .05; longer distance, lower screening).

Conclusions

These findings provide evidence of a gap in service availability, utilization and access facing areas with higher levels of AIAN individuals throughout the US. Without adequate resources in place, these areas will continue to have less access to services and poorer health which will be accelerated as the population of older adults grows.

Information technology as a tool to improve the quality of American Indian health care

The American Indian/Alaska Native population experiences a disproportionate burden of disease across a spectrum of conditions. While the recent National Healthcare Disparities Report highlighted differences in quality of care among racial and ethnic groups, there was only very limited information available for American Indians. The Indian Health Service (IHS) is currently enhancing its information systems to improve the measurement of health care quality as well as to support quality improvement initiatives. We summarize current knowledge regarding health care quality for American Indians, highlighting the variation in reported measures in the existing literature. We then discuss how the IHS is using information systems to produce standardized performance measures and present future directions for improving American Indian health care quality.

Health Differences Among Lumbee Indians Using Public and Private Sources of Care

CONTEXT

Of 2.4 million American Indians, approximately 60% are eligible to receive Indian Health Service (IHS) benefits, leaving many to seek care elsewhere. It is unknown if their quality of care, health behaviors, and health status vary by source of care, as demonstrated for other populations.

PURPOSE

The purpose of this study was to determine whether preventive services, health behaviors, and number of health conditions vary as a function of having non-IHS public versus private physicians as sources of usual care.

METHODS

1,177 Lumbee Indians, who are ineligible to receive IHS services, completed a telephone interview that included information on receipt of preventive measures, tobacco use, physical activity, breast self-examination, and medical conditions. Frequencies, chi-squares, t tests, odds ratios, and confidence intervals were used to compare variables by source of care.

FINDINGS

939 respondents (80%) had a private and 210 (18%) a public health clinic physician as their usual source of care; 28 (2%) reported having neither. Logistic regression analyses, restricted to the 1,149 participants who reported either a private or public source of care, revealed no differences in receipt of preventive services or health status by usual source of care. Smokeless tobacco use was less common among persons using private than public providers.

CONCLUSIONS

Lumbees whose usual source of care was a public clinic physician did not differ in receipt of preventive services or in health status compared to their counterparts who received care from a private physician. More targeted research into health similarities and differences arising from access to public and private sources of care is warranted.

Hypertension in older urban Native-American primary care patients

OBJECTIVES

To examine hypertension and its management in a population of older urban American Indians and Alaska Natives (AI/ANs).

DESIGN

Retrospective cohort study using medical record review.

SETTING

Urban health clinic serving predominantly AI/ANs in the Pacific Northwest.

PARTICIPANTS

Five hundred twenty-four AI/ANs aged 50 and older seen between 1994 and 1995.

MEASUREMENTS

Frequency of diagnosed hypertension, undiagnosed hypertension, comorbid conditions, hypertension treatment, control, and quality of care.

RESULTS

The prevalence of diagnosed hypertension was 38%, and the prevalence of possible undiagnosed hypertension was 23%. Patients with diagnosed hypertension were more likely to be obese (age-adjusted odds ratio (OR) = 3.5), have diabetes mellitus (DM) (OR = 2.2), depression (OR = 1.7), heart disease (OR = 3.8), or renal disease (OR = 5.6) than patients without hypertension. Undiagnosed hypertension was inversely associated with number of health problems (OR = 0.8). Eighty-one percent of diagnosed patients were treated pharmacologically, but no factors associated with nontreatment were identified. Diuretic and beta-blocker usage was low. Patients with DM used angiotensin-converting enzyme inhibitors more frequently than patients without DM (OR = 2.4). Blood pressure was well controlled in 37%, with men being less well controlled than women (OR = 0.5). Serum cholesterol, creatinine, and retinal screening were performed more often than urinalyses or electrocardiograms. Lifestyle-modification counseling was uncommon. Number of health problems was the most common factor associated with screening tests for end-organ disease.

CONCLUSION

Few studies have examined the care of older urban AI/ANs. Improvements are needed in adherence to recommendations for the detection, management, and monitoring of hypertension and its complications in older urban AI/ANs.