The Impact of Immigration Policy Changes on Preterm Birth Rates in Texas: An Examination of Border and Nonborder Regions.

BACKGROUND: Our study examined the acute and sustained impact of immigration policy changes announced in January 2017 on preterm birth (PTB) rates among Hispanic and non-Hispanic white women in Texas's border and nonborder regions. METHODS: Using Texas birth certificate data for years 2008 through 2020, we used a multiple group interrupted time series approach to explore changes in PTB rates. RESULTS: In the nonborder region, the PTB rate among Hispanic women of any race was 8.64% in 2008 and was stable each year before 2017 but increased by .29% (95% CI [.12, .46]) annually between 2017 and 2020. This effect remained statistically significant even when compared with that of non-Hispanic white women (p = .014). In the border areas, the PTB rate among Hispanic women of any race was 11.67% in 2008 and remained stable each year before and after 2017. No significant changes were observed when compared with that of non-Hispanic white women (p = .897). In Texas as a whole, the PTB rate among Hispanic women of any race was 10.16% in 2008 and declined by .07% (95% CI [-.16, -.03]) per year before 2017, but increased by .16% (95% CI [.05, .27]) annually between 2017 and 2020. The observed increase was not statistically significant when compared with that of non-Hispanic white women (p = .326). CONCLUSIONS: The January 2017 immigration policies were associated with a sustained increase in PTB among Hispanic women in Texas's nonborder region, suggesting that geography plays an important role in perceptions of immigration enforcement. Future research should examine the impact of immigration policies on maternal and child health, considering geography and sociodemographic factors.

Travel for medical or dental care by race/ethnicity and rurality in the U.S.: Findings from the 2001, 2009 and 2017 National Household Travel Surveys.

The travel burden for medical or dental care is a well-documented barrier to healthcare access, particularly in rural areas. There is limited research providing national estimates of the travel trends for medical/dental care, particularly among racial/ethnic groups, and among rural and urban populations. We analyzed data from the 2001, 2009, and 2017 National Household Travel Surveys. Main outcomes were the average travel distance (in miles), average travel time (in minutes), and travel burden, characterized as the percentage of trips lasting ≥ 30 miles or minutes for medical/dental care. We used ordinary least squares and multivariable logistic regressions to examine trends in the travel time/distance and travel burden, controlling for socio-demographic and travel dynamics. Among rural residents, the average travel distance for medical/dental care increased by 17.8% between 2001 and 2017, while no increase was observed among urban residents. Thirty-six percent of trips among rural residents lasted ≥ 30 minutes in 2001 but increased to 47.4% in 2017. Logistic regression estimates show that though Blacks experienced higher odds of a travel time burden compared to Whites, the burden lessened over time. In 2017, urban Blacks (OR = 0.41, 95% C.I. = 0.26,0.66), and rural Blacks (OR = 0.16, 95% C.I. = 0.05,0.55) were less likely to spend ≥ 30 minutes traveling for medical/dental care compared to Whites, using the year 2001 as the baseline. The travel distance and time for medical/dental care have increased in rural areas. However, the travel burden among rural and urban Black residents has decreased. Continuing to alleviate excess burdens of transportation may be beneficial.

Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009-2017.

There has been evidence of rising HIV incidence attributable to opioid misuse within some areas of the U.S. The purpose of our study was to explore national trends in co-occurring HIV and opioid-related hospitalizations and to identify their risk factors. We used the 2009-2017 National Inpatient Sample to indicate hospitalizations with co-occurring HIV and opioid misuse diagnoses. We estimated the frequency of such hospitalizations per year. We fitted a linear regression to the annual HIV-opioid co-occurrences with year as a predictor. The resulting regression did not reveal any significant temporal changes. We used multivariable logistic regression to determine the adjusted odds (AOR) of hospitalization for co-occurring HIV and opioid-related diagnoses. The odds of hospitalization were lower for rural residents (AOR = 0.28; CI = 0.24-0.32) than urban. Females (AOR = 0.95, CI = 0.89-0.99) had lower odds of hospitalization than males. Patients identifying as White (AOR = 1.23, CI = 1.00-1.50) and Black (AOR = 1.27, CI = 1.02-1.57) had higher odds of hospitalization than other races. When compared to co-occuring hospitalizations in the Midwest, the odds were higher in the Northeast. (AOR = 2.56, CI = 2.07-3.17) Future research should explore the extent to which similar findings occur in the context of mortality and targeted interventions should intesify for subpopulations at highest risk of co-occuring HIV and opioid misuse diagnoses.

Rural healthy people 2030: New decade, new challenges.

Rural Healthy People is a companion piece to the federal Healthy People initiative released once a decade to identify the most important Healthy People priorities for rural America, as identified by rural stakeholders, for the current decade. This study reports on the findings of Rural Healthy People 2030. The study relied on a survey of rural health stakeholders collected from July 12, 2021, to February 14, 2022, and: 1) identified the 20 Healthy People priorities most frequently selected as priorities for rural America, 2) studied the priorities that were most frequently selected as a "top 3" priority within each Healthy People 2030 category, and 3) investigated Healthy People 2030 priorities in terms of ranked importance for rural Americans. The analysis finds that for the first time across 3 decades of Rural Healthy People, a greater proportion of respondents selected "Mental Health and Mental Disorders" and "Addiction" as Healthy People priorities for rural America, than did "Health Care Access and Quality". Even still, respondents ranked "Health Care Access and Quality" as the single-most important rural priority. "Economic Stability," a new priority within the Social Determinant of Health category, debuted within the 10 most frequently selected priorities for rural America for the coming decade. As public health practitioners, researchers, and policymakers work toward closing the urban-rural divide, the most important rural priorities to address in the coming decade are mental health and substance use disorders, access to high quality health care services, and social determinants of health, such as economic stability.

Dental hygienists' scope of practice regulations and preventable non-traumatic dental emergency department visits: A cross-sectional study of 10 U.S. states.

OBJECTIVES: As emergency department (ED) visits for non-traumatic dental complaints continue to rise in the United States (U.S.), some states are implementing initiatives to expand access to the oral health workforce. This study examines the associations between the 2014 Dental Hygiene Professional Practice Index (DHPPI) and preventable dental ED visits. METHODS: In 2020, we used ED data from 10 U.S. states and ordinary least squares models to examine the relationship between the states' DHPPI scores and preventable dental ED use. We stratified regressions by age to examine this relationship across different age cohorts and introduced interaction terms to assess the same relationship among rural and urban residents. RESULTS: On average, 23.8% of all non-traumatic dental ED visits were identified as preventable. Controlling for other factors, a one-point increase in DHPPI scores was associated with a decrease of 0.01 (95% CI -0.03, -0.02) preventable dental ED visits per 1000 county population in each year-quarter. In the age-stratified models, the strength of the association between DHPPI scores and preventable dental ED visits was higher in the 20 to 34 (-0.03, 95% CI -0.04, -0.02), and the 35 to 50 age cohorts (-0.17, 95% CI -0.00, -0.00). U.S. states with DHPPI scores below 60 saw significantly higher preventable dental ED visits among rural residents. CONCLUSIONS: This study demonstrates that stringent state policies regarding the dental hygienist workforce are associated with higher preventable dental ED visits in the U.S. Policy makers and stake holders must address the scope of practice policies to alleviate the burden of access to oral healthcare.

Cervical Cancer Screening Outcomes Among a Sample of Low-Income Uninsured Women: A Program-Based Study.

Background: Most studies examining cervical cancer screening outcomes have focused on either an age-specific diagnosis and outcomes of abnormal smears or frequency of abnormal outcomes among a sample of insured women. Thus, it is unclear what the distribution outcomes would be when other sociodemographic characteristics are considered. This study examines the variation in cervical cancer screening outcomes and sociodemographic characteristics (patients' age, marital status, race/ethnicity, rurality, and Papanicolaou [Pap] test screening history) within a sample of low-income and uninsured women. Materials and Methods: Our grant-funded program provided 751 Pap tests, 577 human papillomavirus (HPV) tests, and 262 colposcopies to 841 women between 2013 and 2019. Observed outcomes for each procedure type were cross-tabulated by patients' sociodemographic characteristics. Chi-squared and Fisher's exact tests were used to test the independence of screening outcomes and sociodemographic characteristics. Results: The overall positivity rate was 7.2% for Pap tests (n = 54/751), 3.6% for HPV tests (n = 21/577), and 44.7% for colposcopies (n = 117/262). Significance tests suggested that the Pap test and colposcopy outcomes we observed were independent of sociodemographic characteristics in all but one instance-Pap test outcomes were not independent of patient age (p = 0.009). Moreover, the Pap test positivity rate increased with patient age. Conclusions: Our findings support recommendations to discontinue screening for women older than 65 years at low risk for cervical cancer. Our ability to identify an association between cervical screening outcomes and other sociodemographic characteristics may have been limited by our small sample size. This highlights an important barrier to studying health outcomes within low-income and uninsured populations, which are often missing in larger research data sets (e.g., claims).

Mammography Screening Beliefs and Knowledge among a Multi-ethnic Sample of Low-income, Uninsured Women.

The purpose of this study was to examine screening mammography prevalence and its associated beliefs among a multi-ethnic sample of low-income, uninsured women. Data pertaining to the sample's demographic characteristics, mammography screening history and beliefs, and knowledge on recommended screening age were analyzed (n=533). Overall, 22.1% of the participants had never been screened. Black women were more likely than others to have never been screened, White women were more likely to be overdue, and Hispanic women were more likely to report recent screening. Fear of not knowing what will be done during mammography consistently predicted screening among the racial/ethnic groups. Concerns about "people doing mammograms being rude to women" had the highest negative correlation with mammography among Hispanic women. A majority of the sample believed that screening should begin at age 40. Interventions to increase screening mammography must incorporate information about the screening procedure and be sensitive to cultural differences in screening barriers.

Racial, Rural, and Regional Disparities in Diabetes-Related Lower-Extremity Amputation Rates, 2009-2017.

OBJECTIVE: To examine the racial/ethnic, rural-urban, and regional variations in the trends of diabetes-related lower-extremity amputations (LEAs) among hospitalized U.S. adults from 2009 to 2017. RESEARCH DESIGN AND METHODS: We used the National Inpatient Sample (NIS) (2009-2017) to identify trends in LEA rates among those primarily hospitalized for diabetes in the U.S. We conducted multivariable logistic regressions to identify individuals at risk for LEA based on race/ethnicity, census region location (North, Midwest, South, and West), and rurality of residence. RESULTS: From 2009 to 2017, the rates of minor LEAs increased across all racial/ethnic, rural/urban, and census region categories. The increase in minor LEAs was driven by Native Americans (annual percent change [APC] 7.1%, P < 0.001) and Asians/Pacific Islanders (APC 7.8%, P < 0.001). Residents of non-core (APC 5.4%, P < 0.001) and large central metropolitan areas (APC 5.5%, P < 0.001) experienced the highest increases over time in minor LEA rates. Among Whites and residents of the Midwest and non-core and small metropolitan areas there was a significant increase in major LEAs. Regression findings showed that Native Americans and Hispanics were more likely to have a minor or major LEA compared with Whites. The odds of a major LEA increased with rurality and was also higher among residents of the South than among those of the Northeast. A steep decline in major-to-minor amputation ratios was observed, especially among Native Americans. CONCLUSIONS: Despite increased risk of diabetes-related lower-limb amputations in underserved groups, our findings are promising when the major-to-minor amputation ratio is considered.

Factors Affecting Adoption of a Technology-Based Tool for Diabetes Self-Management Education and Support Among Adult Patients with Type 2 Diabetes in South Texas.

PURPOSE: The purpose of this study is to describe a novel computerized diabetes education tool and explore factors influencing self-selection and use among primarily Hispanic patients diagnosed with type 2 diabetes in south Texas. METHODS: Study participants included 953 adult patients with type 2 diabetes enrolled in a diabetes education program between July 1, 2016, and June 30, 2017. Participants were asked to choose either a new technology-based diabetes education tool with a touch-screen device or a traditional face-to-face education method. Multivariate logistic regression analysis was applied to identify factors associated with adopting the computerized diabetes education tool among the patients. RESULTS: When comparing technology-based tool adopters and nonadopters, several demographic and health-related factors differentiated technology use in bivariate analyses. The multivariate logistic regression model showed that Hispanic patients were less likely to choose a technology-based tool. Patients who perceived their health status as excellent/good were more likely to adopt the technologic education method than those with fair/poor perceived health status. A1C level was negatively associated with self-selection of technology. CONCLUSIONS: Specific demographic and health-related characteristics are significant contributing factors to patients' adoption of a technology-based diabetes education tool. Health care providers can utilize these findings to target and refer specific patients to a computerized diabetes education tool for more effective diabetes care and to optimize technology adoption success.

The association between rurality, sociodemographic characteristics, and mammogram screening outcomes among a sample of low-income uninsured women.

Studies have found a positive association between adherence to mammography screening guidelines and early detection of breast cancer lesions, yet the proportion of women who get screened for breast cancer remains below national targets. Previous studies have found that mammography screening rates vary by sociodemographic factors including race/ethnicity, income, education, and rurality. It is less known whether sociodemographic factors are also related to mammography screening outcomes in underserved populations. Thus, with a particular interest in rurality, we examined the association between the sociodemographic characteristics and mammography screening outcomes within our sample of 1,419 low-income, uninsured Texas women who received grant-funded mammograms between 2013 and 2019 (n = 1,419). Screening outcomes were recorded as either negative (Breast Imaging Reporting and Data System (BI-RADS) classification 1-3) or positive (BI-RADS classification 4-6). When we conducted independency tests between sociodemographic characteristics (age, race/ethnicity, rurality, county-level risk, family history, and screening compliance) and screening outcomes, we found that none of the factors were significantly associated with mammogram screening outcomes. Similarly, when we regressed screening outcomes on age, race/ethnicity, and rurality via logistic regression, we found that none were significant predictors of a positive screening outcome. Though we did not find evidence of a relationship between rurality and mammography screening outcomes, research suggests that among women who do screen positive for breast cancer, rural women are more likely to present with later stage breast cancer than urban women. Thus, it remains important to continue to increase breast cancer education and access to routine cancer screening for rural women.

Factors affecting the likelihood of a hospitalization following a diabetes-related emergency department visit: A regional and urban-rural analysis.

BACKGROUND: The objective of this study is to examine place-based and individual-level predictors of diabetes-related hospitalizations that stem from emergency department (ED) visits. METHODS: We conducted a pooled cross-sectional analysis of the National Inpatient Sample (NIS) for 2009 to 2014 to identify ED-initiated hospitalizations that were driven by the need for diabetes care. The odds of an ED-initiated diabetes-related hospitalization were assessed for the United States as a whole and separately for each census region. RESULTS: Nationally, residents of noncore areas (odds ratio [OR] 1.10; CI 1.08, 1.12), the South (OR 8.03; CI 6.84, 9.42), Blacks (OR 2.49; CI 2.47, 2.52), Hispanics (OR 2.32; CI 2.29, 2.35), Asians or Pacific Islanders (OR 1.20; CI 1.16, 1.23), Native Americans (OR 2.18; CI 2.10, 2.27), and the uninsured (OR 2.14; CI 2.11, 2.27) were significantly more likely to experience an ED-initiated hospitalization for diabetes care. Census region-stratified models showed that noncore residents of the South (OR 1.17; CI 1.14, 1.20) and Midwest (OR 1.06; CI 1.02, 1.11) had higher odds of a diabetes-related ED-initiated hospitalization. CONCLUSIONS: As continued efforts are made to reduce place-based disparities in diabetes care and management, targeted focus should be placed on residents of noncore areas in the South and Midwest, racial and ethnic minorities, as well as the uninsured population.

Difference in the risk of depressive symptoms associated with physical activity in persons with diabetes: Across age, gender, and race/ethnicity.

BACKGROUND: To investigate the link between depressive symptoms and physical activity (PA) by examining their association across genders, age, and race/ethnicity. METHODS: Data of the cross-sectional study were from the 2011 and 2015 Behavioral Risk Factor Surveillance System. The Patient Health Questionnaire-8, a well-validated instrument to measure depressive symptoms was used. PA was categorized as active, moderately active, and inactive. A generalized linear model specified with a Poisson distribution and log link was performed to investigate the association between depressive symptoms and PA across population characteristics. RESULTS: No significant association between PA and depressive symptoms between genders and across racial/ethnic groups was found. Persons aged 65 years or older showed a significantly lower risk of depressive symptoms than those below 45 years when physically active (Adjusted Prevalence Ratio (APR) 0.36, 95% CI = 0.16-0.82) and moderately active (APR 0.39, 95% CI = 0.16-0.98). LIMITATIONS: The study included only leisure-time PA. Well-designed surveys that reflect a wider scope of PA are needed to strengthen the analysis. CONCLUSIONS: Compared to younger adults, older adults may gain further health benefits in reducing the risk of depressive symptoms by being physically active. Similar health benefits may be gained from PA between genders and between racial/ethnic groups. The different association between PA and depressive symptoms provides practical implications for the effective management of depressive symptoms in persons with diabetes.

Effect of Study Design and Survey Instrument to Identify the Association Between Depressive Symptoms and Physical Activity in Type 2 Diabetes, 2000-2018: A Systematic Review.

INTRODUCTION: Previous studies have used a variety of survey measurement options for evaluating the association between physical activity (PA) and depressive symptoms, raising questions about the types of instruments and their effect on the association. This study aimed to identify measures of PA and depressive symptoms and findings of their association given diverse instruments and study characteristics in type 2 diabetes (T2DM). METHODS: Online databases, Medline, Embase, CINAHL, and PsycINFO were searched on July 20, 2018, and January 8, 2019. Our systematic review included observational studies from 2000 to 2018 that investigated the association between PA and depressive symptoms in T2DM. RESULTS: Of 2294 retrieved articles, 28 studies were retained in a focused examination and comparison of the instruments used. There were a range of standard measures, 10 for depressive symptoms and 7 for PA, respectively. Patient Health Questionnaire (PHQ) for depressive symptoms and study-specific methods for PA were the most popular. Overall, 71.9% found a significant association between PA and depressive symptoms. Among studies classified as high quality or reliability, the figure was 81.8%. CONCLUSION: A majority of the sample found an association between depressive symptoms and PA, which is fairly consistent across study characteristics. The findings provide the evidence for the health benefits of PA on reducing depressive symptoms in persons with T2DM, suggesting active engagement in PA for effective diabetes management. However, guidelines for objective measurements and well-designed prospective studies are needed to strengthen the evidence base and rigor for the association and its directionality.

The Impact of Medicaid Expansion on Diabetes Management.

OBJECTIVE: Diabetes is a chronic health condition contributing to a substantial burden of disease. According to the Robert Wood Johnson Foundation, 10.9 million people were newly insured by Medicaid between 2013 and 2016. Considering this coverage expansion, the Affordable Care Act (ACA) could significantly affect people with diabetes in their management of the disease. This study evaluates the impact of the Medicaid expansion under the ACA on diabetes management. RESEARCH DESIGN AND METHODS: This study includes 22,335 individuals with diagnosed diabetes from the 2011 to 2016 Behavioral Risk Factor Surveillance System. It uses a difference-in-differences approach to evaluate the impact of the Medicaid expansion on self-reported access to health care, self-reported diabetes management, and self-reported health status. Additionally, it performs a triple-differences analysis to compare the impact between Medicaid expansion and nonexpansion states considering diabetes rates of the states. RESULTS: Significant improvements in Medicaid expansion states as compared with non-Medicaid expansion states were evident in self-reported access to health care (0.09 score; P = 0.023), diabetes management (1.91 score; P = 0.001), and health status (0.10 score; P = 0.026). Among states with large populations with diabetes, states that expanded Medicaid reported substantial improvements in these areas in comparison with those that did not expand. CONCLUSIONS: The Medicaid expansion has significant positive effects on self-reported diabetes management. While states with large diabetes populations that expanded Medicaid have experienced substantial improvements in self-reported diabetes management, non-Medicaid expansion states with high diabetes rates may be facing health inequalities. The findings provide policy implications for the diabetes care community and policy makers.

The Changing Landscape of Diabetes Mortality in the United States Across Region and Rurality, 1999-2016.

PURPOSE: This brief report examines place-based differences in diabetes mortality in order to understand whether disparities in diabetes mortality have changed across United States Census regions and levels of rurality over time. METHODS: We use data from the National Center for Health Statistics from 1999 to 2016 to analyze changes in diabetes mortality over time and across geographical regions of the United States. FINDINGS: We find evidence that diabetes mortality has declined in the United States over the past 2 decades, but that improvements in mortality vary considerably by place. Improvements are observed in urban America and in the Northeast and Midwest while diabetes mortality has remained largely unchanged in rural areas, particularly in the rural South. CONCLUSIONS: Diabetes is one of the leading causes of death in the United States, but important differences have emerged in the burden of this disease. Reductions in diabetes mortality are lagging in rural areas, and the rural South in particular, relative to other areas of the country. Continued innovations in care and targeted interventions in rural areas are warranted.

Congestive heart failure-related hospital deaths across the urban-rural continuum in the United States.

Congestive heart failure (CHF) is a growing public health problem that affects nearly 6.5 million individuals nationwide. Access to quality outpatient care and disease management programs has been shown to improve disease treatment and prognosis. Rural populations face unique challenges in the availability and accessibility of quality cardiovascular care. In 2018, we conducted a pooled cross-sectional analysis of the Nationwide Inpatient Sample (NIS) for 2009-2014 to examine recent trends in CHF-related hospital deaths in the United States, highlighting urban-rural differences within each census region. We performed a multivariable logistic regression analysis to compare the odds of CHF-related hospital death, by levels of rurality and within each census region. Most CHF-related hospital deaths occurred in the South and Midwest census regions and in large central metropolitan areas. Findings from census region stratified models revealed that non-core residents living within the West (OR 1.47, CI 1.26, 1.71), Midwest (OR 1.30, CI 1.17, 1.44), and South (OR = 1.21, 95% C.I. = 1.12-1.32) had a higher relative risk (but not higher absolute numbers) of experiencing death during a CHF-related hospitalization, compared to patients in large central metropolitan areas. Within each census region, there were also differences in odds of a CHF-related hospital death depending on patient sex, comorbidities, insurance type, median annual income, and year. As efforts to reduce rural health disparities in CHF morbidity continue, more work is needed to understand and test interventions to reduce the risk of death from CHF in noncore areas of the West, Midwest, and South.

Healthy People 2020: Rural Areas Lag In Achieving Targets For Major Causes Of Death.

For the period 2007-17 rural death rates were higher than urban rates for the seven major causes of death analyzed, and disparities widened for five of the seven. In 2017 urban areas had met national targets for three of the seven causes, while rural areas had met none of the targets.

Diabetes-related hospital mortality in the U.S.: A pooled cross-sectional study of the National Inpatient Sample.

AIMS: Despite advancements in the diagnosis and treatment of diabetes in the U.S., place-based disparities still exist. The purpose of this study is to determine place-based and other individual-level variations in diabetes-related hospital deaths. METHODS: A pooled cross-sectional study of the 2009-2015 National Inpatient Sample was conducted to examine the odds of a diabetes-related hospital death. The main predictors were rurality and census region. Individual-level socio-demographic factors were also examined. RESULTS: Approximately 1.5% (n = 147,069) of diabetes-related hospitalizations resulted in death. In multivariable analysis, the odds of diabetes-related hospital deaths increased across the urban-rural continuum, except for large fringe metropolitan areas, with the highest odds of such deaths occurring among residents of micropolitan (OR = 1.16, 95% C.I. = 1.14, 1.18) and noncore areas (OR = 1.21, 95% C.I. = 1.19, 1.24). Compared to residents of the Northeast, residents in the South, West and Midwest regions were significantly more likely to experience a diabetes-related hospital death. Asian or Pacific Islanders, Medicaid-covered patients and the uninsured were also more likely to die during a diabetes-related hospitalization. CONCLUSIONS: Place-based disparities in diabetes-related hospital deaths exist. Targeted focus should be placed on the control of diabetic complications in the South, West and Midwest census regions, and among rural residents.

The impact of interprofessional education on family nurse practitioner students' and family medicine residents' knowledge and confidence in screening for breast and cervical cancer.

BACKGROUND AND PURPOSE: This study determined the impact of an interprofessional education (IPE) simulation on family nurse practitioner (FNP) students' and family medicine residents' (FMRs) self-reported confidence in counseling women reluctant to engage in cancer screening or evaluation and assessed knowledge of breast and cervical cancer risk factors. METHOD: A multi-item knowledge survey on breast and cervical cancer risk factors was administered to 76 FNP students and FMRs followed by an IPE simulation with a pre-/postsurvey of self-reported confidence in counseling a woman reluctant to have breast and cervical cancer screening and evaluation. DISCUSSION: Data demonstrated knowledge deficits in breast and cervical cancer risk factors in both disciplines with the average risk factor knowledge score of 8.5/12 for breast cancer and 7.8/12 for cervical cancer. Following IPE simulation, confidence in counseling women reluctant to have breast or cervical cancer screening improved across both disciplines (p < .05) and debrief feedback findings suggest improved attitudes toward collegiality, communication, and understanding of other interprofessional roles among both disciplines. CONCLUSION: Knowledge gaps exist among both FNP students and FMRs in breast and cervical cancer risk factors. This study suggests IPE simulation is effective in building individual provider confidence and team collegiality.

Assessing Diabetes and Factors Associated with Foregoing Medical Care among Persons with Diabetes: Disparities Facing American Indian/Alaska Native, Black, Hispanic, Low Income, and Southern Adults in the U.S. (2011-2015).

Objective: Identify individual- and place-based factors associated with diagnosed diabetes and forgone medical care among those diagnosed with diabetes. Background: Diabetes affects millions of individuals globally. In the U.S. alone the prevalence rate of diagnosed diabetes has more than doubled over the past 20 years (4.2% in 1994 to 10% in 2014). Methods: The Behavioral Risk Factor Surveillance System (2011-2015) was used to identify factors associated with self-reported diabetes diagnoses (ever diagnosed) among U.S. adults. Logistic regression modeled: (1) the likelihood of having diabetes; (2) the likelihood of forgone medical care among those with diabetes, given appropriate medical care has been linked to preventing complications associated with diabetes. Results: Rates of diabetes remained relatively stable from 2011 to 2015. The likelihood of diabetes was higher (p < 0.01) among racial and ethnic minority groups, men, those with lower incomes and those with lower education. Place-based disparities indicating a higher likelihood of having a diagnosis of diabetes were found for those living in rural areas (urban versus rural, unadjusted OR = 0.844-0.908; p < 0.01) and those living in the South (North, Midwest, and Western/Pacific regions versus the South, unadjusted OR = 0.794-0.889; p < 0.01). Similar results were found with forgone medical care among those diagnosed with diabetes being more likely in the South (North, Midwest, and Western/Pacific regions versus the South, unadjusted OR = 0.542-0.819). In fully-adjusted analyses, the prevalence of diabetes and forgone medical care among those diagnosed with diabetes was higher for those with lower incomes, from several racial/ethnic minority groups, and in the South versus most other regions. Conclusions: Identifying at-risk groups informs targets for prevention and assists efforts to address chronic disease self-management among those already diagnosed with diabetes.