Purpose: The health of rural America is more important than ever to the health of the United States and the world. Rural Healthy People 2020's goal is to serve as a counterpart to Healthy People 2020, providing evidence of rural stakeholders’ assessment of rural health priorities and allowing national and state rural stakeholders to reflect on and measure progress in meeting those goals. The specific aim of the Rural Healthy People 2020 national survey was to identify rural health priorities from among the Healthy People 2020's (HP2020) national priorities.Methods: Rural health stakeholders (n = 1,214) responded to a nationally disseminated web survey soliciting identification of the top 10 rural health priorities from among the HP2020 priorities. Stakeholders were also asked to identify objectives within each national HP2020 priority and express concerns or additional responses.Findings and Conclusions: Rural health priorities have changed little in the last decade. Access to health care continues to be the most frequently identified rural health priority. Within this priority, emergency services, primary care, and insurance generate the most concern. A total of 926 respondents identified access as the no. 1 rural health priority, followed by, no. 2 nutrition and weight status (n = 661), no. 3 diabetes (n = 660), no. 4 mental health and mental disorders (n = 651), no. 5 substance abuse (n = 551), no. 6 heart disease and stroke (n = 550), no. 7 physical activity and health (n = 542), no. 8 older adults (n = 482), no. 9 maternal infant and child health (n = 449), and no. 10 tobacco use (n = 429).

A steady decline in cervical cancer incidence and mortality in the United States has been attributed to increased uptake of cervical cancer screening tests such as Papanicolau (Pap) tests. However, disparities in Pap test compliance exist, and may be due in part to perceived barriers or lack of knowledge about risk factors for cervical cancer. This study aimed to assess correlates of cervical cancer risk factor knowledge and examine socio-demographic predictors of self-reported barriers to screening among a group of low-income uninsured women. Survey and procedure data from 433 women, who received grant-funded cervical cancer screenings over a span of 33 months, were examined for this project. Data included demographics, knowledge of risk factors, and agreement on potential barriers to screening. Descriptive analysis showed significant correlation between educational attainment and knowledge of risk factors (r = 0.1381, P < 0.01). Multivariate analyses revealed that compared to Whites, Hispanics had increased odds of identifying fear of finding cancer (OR 1.56, 95% CI 1.00–2.43), language barriers (OR 4.72, 95% CI 2.62–8.50), and male physicians (OR 2.16, 95% CI 1.32–3.55) as barriers. Hispanics (OR 1.99, 95% CI 1.16–3.44) and Blacks (OR 2.06, 95% CI 1.15–3.68) had a two-fold increase in odds of agreeing that lack of knowledge was a barrier. Identified barriers varied with age, marital status and previous screening. Programs aimed at conducting free or subsidized screenings for medically underserved women should include culturally relevant education and patient care in order to reduce barriers and improve screening compliance for safety-net populations.

The Exercise Assessment and Screening for You (EASY) is a tool developed to help older individuals, their health care providers, and exercise professionals identify different types of exercise and physical activity regimens that can be tailored to meet the existing health conditions, illnesses, or disabilities of older adults. The EASY tool includes 6 screening questions that were developed based on an expert roundtable and follow-up panel activities. The philosophy behind the EASY is that screening should be a dynamic process in which participants learn to appreciate the importance of engaging in regular exercise, attending to health changes, recognizing a full range of signs and symptoms that might indicate potentially harmful events, and becoming familiar with simple safety tips for initiating and progressively increasing physical activity patterns. Representing a paradigm shift from traditional screening approaches that focus on potential risks of exercising, this tool emphasizes the benefits of exercise and physical activity for all individuals.

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.

Purpose: This study explored the impact of personal digital assistant (PDA) features, users' perceptions, and other factors that may have hindered PDA acceptability and usability as technology advances in e-health diabetes self-management. Study Design and Results: An ongoing study on PDA usage is set within the context of the advancements of Web 2.0 for type 2 diabetes mellitus (T2DM) self-management e-interventions. Advancements in technology as it relates to the future of T2DM mobile applications are discussed as possible deterrents of PDA acceptability and usability. Conclusions: This case study illustrates the importance of addressing factors that may impede the adoption of electronic devices intended for sustained health behavior change. Recognizing the importance of individual perception within the context of rapid technological advancements is imperative for designing future health interventions. Incorporating electronic devices that individuals are more inclined to utilize, such as smartphones, as the platform for health interventions is a promising strategy to improve acceptability and usability, allowing researchers to more accurately assess the health benefits of self-management programs.

The medical home is a potentially transformative strategy to address issues of access, quality, and efficiency in the delivery of health care in the United States. While numerous organizations support a physician-driven definition, it is by no means the universally accepted definition. Several professional groups, payers, and researchers have offered differing, or nuanced, definitions of medical homes. This lack of consensus has contributed to uncertainty among providers about the medical home. We conducted a systematic review of the literature on the medical home and identified 29 professional, government, and academic sources offering definitions. While consensus appears to exist around a core of selected features, the medical home means different things to different people. The variation in definitions can be partly explained by the obligation of organizations to their members and whether the focus is on the patient or provider. Differences in definitions have implications at both the policy and practice levels.