"We Got an Invite into the Fortress": VA-Community Partnerships for Meeting Veterans' Healthcare Needs.

Responding to identified needs for increased veterans' access to healthcare, in 2010 the United States Department of Veterans Affairs (VA) launched the Veteran Community Partnership (VCP) initiative to "foster seamless access to, and transitions among, the full continuum of non-institutional extended care and support services in VA and the community". This initiative represents an important effort by VA to promote collaboration with a broad range of community organizations as equal partners in the service of veteran needs. The purpose of the study is an initial assessment of the VCP program. Focus group interviews conducted in six sites in 2015 included 53 representatives of the local VA and community organizations involved with rural and urban VCPs across the US. Interview topics included the experiences and practices of VCP members, perceived benefits and challenges, and the characteristics and dynamics of rural and urban areas served by VCPs. Using a community-oriented conceptual framework, the analyses address VCP processes and preliminary outcomes, including VCP goals and activities, and VCP members' perceptions of their efforts, benefits, challenges, and achievements. The results indicate largely positive perceptions of the VCP initiative and its early outcomes by both community and VA participants. Benefits and challenges vary by rural-urban community context and include resource limitations and the potential for VA dominance of other VCP partners. Although all VCPs identified significant benefits and challenges, time and resource constraints and local organizational dynamics varied by rural and urban context. Significant investments in VCPs will be required to increase their impacts.

Privilege and Place: an exploratory study about healthcare bypass behavior.

AIM: Bypass, or utilizing healthcare outside of one's community rather than local health care, can have serious consequences on rural healthcare availability, quality, and outcomes. Previous studies of the likelihood of healthcare bypass used various individual and community characteristics. This study includes measures for individuals and communities, as well as place-based characteristics. The authors introduce the Social Vulnerability of Place Index (SoVI) - a well-established measure in disaster literature - into healthcare studies to further explain the impact of place on healthcare selection behavior. Additionally, with the use of open-ended questions, this study explains why people choose to bypass. By including each of these measures, this study provides a more nuanced and detailed understanding of how individual healthcare selection is affected by the privilege of the individual, community ties, place of residence, and primary motivator for bypass. METHODS: A systematic random sample of residents from 25 rural towns in the western US state of Utah were surveyed in 2017 in the Rural Utah Community Survey. After accounting for missing data, the total sample size was 1061. This study used logistic regression to better predict the likelihood of rural healthcare bypass behavior. Measures associated with community push factors (dissatisfaction with various local amenities), community pull factors (friends in community and length of residence), individual ability (demographics, self-reported health, and distance to a hospital), and SoVI, were added to the models to examine their impact on the likelihood of bypass. The SoVI was made using census data with variables that measure both social and place inequality. Each town in the study received a SoVI score and was then categorized as having low, mean, or high social vulnerability. Qualitative open-ended responses about healthcare selection were coded for explanations given for bypassing. RESULTS: The pooled model showed that bypass was more likely amongst residents who were dissatisfied with local health care and more likely for females. Breaking bypass down, according to SoVI, provides a more nuanced understanding of bypass. For people living in low socially vulnerable areas, privileges such as graduating college made them more likely to bypass. For high socially vulnerable areas, privilege did not help people bypass, but disadvantages such as aging made residents less likely to bypass. Thus, by introducing the SoVI into healthcare literature, this study can compare healthcare selection behaviors of residents in low vulnerable towns, average vulnerable towns, and highly vulnerable towns. Additionally, the analysis of open-ended responses showed patterns explaining why people bypass. CONCLUSION: Policymakers and public health workers can use the SoVI to better target their healthcare outreach. Reasons for bypass include quality, selection, consistency, cost of insurance, one-stop shop, and confidentiality. Rural clinics can help residents avoid the need to bypass by improving in these areas and thus gaining patients and minimizing the risk of closure. Healthcare policymakers should focus resources on high socially vulnerable places as well as underprivileged people in low socially vulnerable places.

Infants without health insurance: Racial/ethnic and rural/urban disparities in infant households' insurance coverage.

In order to gain insights into how the effects of the uneven adoption of Medicaid expansion varies across the rural/urban spectrum and between racial/ethnic groups in the United States, this research used the fertility question in the 2011-2015 American Community Survey to link infants' records to their mothers' household health insurance status. This preliminary exploration of the Medicaid expansion used logistic regression to examine the probability that an infant will be born without health insurance coverage. Overall, the states that adopted Medicaid expansion improved the health insurance coverage for households with infants. However, rural households with infants report lower percentages of coverage than urban households with infants. Furthermore, the rural/urban gap in health insurance coverage is wider in states that adopted the Medicaid expansion. Additionally, Hispanic infants remain significantly less likely to have health insurance coverage compared to Non-Hispanic White infants. Understanding infant health insurance coverage across ethnic/racial groups and the rural/urban spectrum will become increasingly important as the U.S. population transitions to a minority-majority and also becomes more urban. Although not a perfect solution, our findings showed that the Medicaid expansion of health insurance coverage had a mainly overall positive effect on the percentage of U.S. households with infants who have health insurance coverage.

A Demographic Deficit? Local Population Aging and Access to Services in Rural America, 1990-2010.

Population aging is being experienced by many rural communities in the U.S., as evidenced by increases in the median age and the high incidence of natural population decrease. The implications of these changes in population structure for the daily lives of the residents in such communities have received little attention. We address this issue in the current study by examining the relationship between population aging and the availability of service-providing establishments in the rural U.S. between 1990 and 2010. Using data mainly from the U.S. Census Bureau and the Bureau of Labor Statistics, we estimate a series of fixed-effects regression models to identify the relationship between median age and establishment counts net of changes in overall population and other factors. We find a significant, but non-linear relationship between county median age and the total number of service-providing establishments, and counts of most specific types of services. We find a positive effect of total population size across all of our models. This total population effect is consistent with other research, but the independent effects of age structure that we observe represent a novel finding and suggest that age structure is a salient factor in local rural development and community wellbeing.

Middle-Aged and Older Adult Health Care Selection.

This study assesses the prevalence of primary-care physician (PCP) bypass among rural middle-aged and older adults. Bypass is a behavior where people travel beyond local providers to obtain health care. This article applies a precise Geographic Information System (GIS)-based measure of bypass and examines the role of community and non-health-care-related characteristics on bypass. Our results indicate that bypass behavior among rural middle-aged and older adults is multifaceted. In addition to the perceived quality of local primary care, dissatisfaction with local services, such as shopping, creates an effect that increases the likelihood of bypass, whereas strong community ties decrease the likelihood of bypass. The results suggest that the "outshopping theory," where respondents select services in larger regional economic centers rather than local "mom and pop" providers, now extends to older adult health care selection.

Rural health care bypass behavior: how community and spatial characteristics affect primary health care selection.

PURPOSE: (1) To assess the prevalence of rural primary care physician (PCP) bypass, a behavior in which residents travel farther than necessary to obtain health care, (2) To examine the role of community and non-health-care-related characteristics on bypass behavior, and (3) To analyze spatial bypass patterns to determine which rural communities are most affected by bypass. METHODS: Data came from the Montana Health Matters survey, which gathered self-reported information from Montana residents on their health care utilization, satisfaction with health care services, and community and demographic characteristics. Logistic regression and spatial analysis were used to examine the probability and spatial patterns of bypass. RESULTS: Overall, 39% of respondents bypass local health care. Similar to previous studies, dissatisfaction with local health care was found to increase the likelihood of bypass. Dissatisfaction with local shopping also increases the likelihood of bypass, while the number of friends in a community, and commonality with community reduce the likelihood of bypass. Other significant factors associated with bypass include age, income, health, and living in a highly rural community or one with high commuting flows. CONCLUSIONS: Our results suggest that outshopping theory, in which patients bundle services and shopping for added convenience, extends to primary health care selection. This implies that rural health care selection is multifaceted, and that in addition to perceived satisfaction with local health care, the quality of local shopping and levels of community attachment also influence bypass behavior.