Healthcare Use in the Heartland: How Health Care Selection Varies Between Rural, Retirement‐Age Migrants and Long‐Term Residents

Sanders, Scott R.; Erickson, Lance D.; Call, Vaughn R. A.; Rugh, Jacob S.; McKnight, Matthew L.

doi:10.1111/ruso.12088

Cited by 4 publications

(3 citation statements)

References 53 publications

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“…Satisfaction with services was related significantly to being a stayer only in the 80–101 age group (0.713). This finding likely is associated with the reality that many older adults become increasingly dependent on local services for their well‐being, often at the same time as their physical ability to access those services declines (Sanders, Erickson, Call, Rugh, & McKnight, ). Thus, some may choose to move closer to essential services.…”

Section: Resultsmentioning

confidence: 99%

Lifetime stayers in urban, rural, and highly rural communities in Montana

Erickson

Sanders

Cope

2018

Population Space and Place

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Modernity can be characterised by a shift from a communal to an individual orientation where social mobility is one of individuals' primary goals. However, for individuals to achieve social mobility, they often must also be geographically mobile. Consequently, geographic immobility or staying in place needs to be theorised and examined directly. In this context, the life course perspective provides a useful framework to understand staying. The role transitions associated with different life stages represent different decision points where choices to stay must be deliberate. We use state-representative data from Montana (USA) in 2010 to perform an exploratory analysis of stayers. Using a variety of community and individual predictors, we find that high community attachment, low satisfaction with one's community, and/or local services make being a stayer more likely. In separate models of being a stayer by rurality, age group, educational attainment, and having a dependent in the home, the pattern of results suggests that interpretations of high attachment and low satisfaction among stayers as being indicators of being "stuck" may be incorrect. Instead, even in the absence of being satisfied with one's community, community attachment may be indicative of deliberate decisions to stay. We discuss the limitations of addressing staying using cross-sectional data and suggest future avenues for better understanding those who stay in place throughout their lives.

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Section: Resultsmentioning

confidence: 99%

Lifetime stayers in urban, rural, and highly rural communities in Montana

Erickson

Sanders

Cope

2018

Population Space and Place

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“…The loss of local health care may also be exacerbated when the few remaining local health care options are bypassed because nonlocal health care options in larger neighboring communities are perceived to be more satisfactory. And as the level of satisfaction with one type of local service declines, older rural residents are more likely to bundle multiple types of services, that is, consumer services and health care, in larger neighboring communities (Sanders et al 2016).…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2016

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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.

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“…17 The term health care desert has also been applied to areas where residents of an area or region must travel significant distances to obtain health care services. 18 Specifically, areas where disparities in access to pharmacy, hospital, trauma, and medical services exist have been identified as deserts. [19][20][21] Additionally, treatment deserts have been used to conceptualize restricted access to treatment in rural areas.…”

Section: Introductionmentioning

confidence: 99%

A Geographic Perspective on Opioid Misuse: Substance Abuse Treatment Deserts in Southwestern Ohio

Lowe

Brokamp

Rasnick

et al. 2021

OJPH

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Background: The opioid crisis is one of the most pressing public health issues facing Ohio, with an impact uneven-ly distributed across the state. This work examined geographical barriers to substance abuse treatment in southwestern Ohio through examining geographical areas with limited access to substance abuse treatment services and identifying substance abuse treatment deserts. Methods: The study domain included the 13 counties in the Ohio Mental Health and Addiction Service's Cincinnati region. Publicly available substance use disorders treatment data were collected from government agency resources, pharmaceutical websites, and web searches. Substance abuse treatment deserts were defined as areas in the 13-county study area that were not within a 15-minute drive from a treatment center. Results: We found large portions of the study region that were considered a substance abuse treatment desert for methadone and naltrexone/buprenorphine clinics, behavioral health treatment centers, and both medicated assisted treatment (MAT) and behavioral health treatment combined. Out of the 2 017 337 total persons living in the 13-county study area, 17% (n = 342 872) live in a desert for all MAT and behavioral treatment. Similarly, 19.7% (n = 396 581) live in a desert for naltrexone/buprenorphine treatment, 60.9% (n = 1 227 560) live in a desert for methadone treatment, and 19.7% (n = 396 581) live in a desert for behavioral health treatment. Conclusion: We successfully defined substance abuse treatment deserts in southwestern Ohio, which will be useful for future research to determine its association with opioid-related health outcomes. This resource is publicly available online (https://doi.org/10.5281/zenodo.4011051).

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Healthcare Use in the Heartland: How Health Care Selection Varies Between Rural, Retirement‐Age Migrants and Long‐Term Residents

Cited by 4 publications

References 53 publications

Lifetime stayers in urban, rural, and highly rural communities in Montana

Lifetime stayers in urban, rural, and highly rural communities in Montana

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

A Geographic Perspective on Opioid Misuse: Substance Abuse Treatment Deserts in Southwestern Ohio

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