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Rural Health Disparities

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Care Sciences & Services".

Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 26053

Special Issue Editors


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Guest Editor
Center for Health Disparities, The Brody School of Medicine, East Carolina University, 1800 W. 5th Street, Medical Pavilion Suite 6, Greenville, NC 27858, United States
Interests: racial-ethnic and SES health disparities; gender and rural-urban health disparities; immigration, acculturation and health; discrimination and health; segregation and health; measurement equivalence in multi-cultural research; culturally-tailoring health interventions

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Guest Editor
Department of Public Health, East Carolina University, 115 Heart Drive, Greenville, NC 27834, USA
Interests: health disparities; chronic disease epidemiology and prevention; American Indian health; rural health

Special Issue Information

Dear Colleagues,

Rural–urban health disparities persist and are growing, with health outcomes significantly poorer among rural populations. Because nearly one in five Americans live in rural areas, disparities among this population have broad impacts on the nation’s health. Chronic disease prevalence and age-adjusted mortality rates (preventable deaths) are significantly higher in rural areas for diabetes, cancer, stroke, and cardiovascular disease, and rates of overweight and obesity as well as of tobacco and opioid use exceed those of urban populations. Comparing two extreme life expectancies in the U.S., poor African-American men in rural areas average a 67.7-year life expectancy, which is 20 years shorter than that of equally poor Asian-Pacific Islander women in urban areas (89.6 years)

Poverty is foremost among the complex social determinants of rural health disparities. High rates of poverty (i.e., ≥ 20%) are common in rural areas and especially in the southeastern US where more than 90% of the region is rural. Nine out of the 10 states with the largest rural populations and the highest levels of poverty are in the southeast. Incomes in rural communities are low, unemployment and isolation are high, and built environments (e.g., access to affordable healthy food and to recreational resources) are poor. In addition to poverty, low access to healthcare contributes significantly to these disparities. Rural areas have fewer health care settings and specialists and incur provider shortages and a burden of travel for care. Although the Affordable Care Act increased insurance coverage, many states with large rural populations did not expand Medicaid, leaving millions without access to health insurance. Telehealth technologies have the potential to enhance access to quality care in rural areas, but their utilization has been extremely low (0.26 % in 2011) because of inadequate broadband connectivity in rural communities. Environmental exposures also contribute to poor health in rural communities. Rural residents face greater exposure to pesticides and carcinogens, and water quality is poor. Water systems have high concentrations of chemical and biological contaminants. Many rural communities do not have access to approved public water systems and instead commonly use wells that are not covered by the Safe Water Drinking Act. More than 50% of all waterborne diseases in the US and Canada occur in rural communities, and lack of adequate water treatment is the major cause of such outbreaks. Climate change is another contributor to poor health and has had its greatest impact in rural communities, especially in the southeastern US.  Increasing temperatures release chemical and biological contaminants previously trapped in water. Flooding overwhelms water treatment facilities and waste lagoons, thereby exposing rural populations to pathogenic microorganisms; flooding also causes increased pesticide run-off.

Although poverty, access to care, environmental exposures, and health behaviors all contribute to rural health disparities, there is a paucity of research that comprehensively addresses these factors for any health outcome. Rural health research has taken a risk factor approach that has yielded low-level interventions that have no or very modest effects. There have been few efforts to capture and investigate the dynamic complexity and interconnectedness of diverse aspects of rural deprivation and disadvantage. Hence, there are no models to guide new efforts to reduce these disparities. Moreover, much research has focused on rural–urban differences in health, with insufficient attention to differences within or between rural communities. Racial-ethnic, age, gender, and other demographic (e.g., segregation) disparities within and between rural communities likewise have received insufficient attention.

This Special Issue invites studies and comprehensive reviews on rural health disparities and interventions to reduce them. Papers that address racial-ethnic, gender, segregation, or other disparities within rural communities, compare rural communities in the US or elsewhere or both, integrate several contributing variables from different levels, compare interventions, or present new interventions or policy approaches are especially welcome.

Prof. Dr. Hope Landrine
Prof. Dr. Ronny A. Bell
Guest Editors

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Keywords

  • Chronic disease prevalence and mortality
  • Health Behaviors, Healthcare access
  • Environmental exposures
  • Interventions

Published Papers (6 papers)

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Research

11 pages, 301 KiB  
Article
China’s New Cooperative Medical Scheme’s Impact on the Medical Expenses of Elderly Rural Migrants
by Jiajing Li, Yanran Huang, Stephen Nicholas and Jian Wang
Int. J. Environ. Res. Public Health 2019, 16(24), 4953; https://doi.org/10.3390/ijerph16244953 - 06 Dec 2019
Cited by 8 | Viewed by 2356
Abstract
Background: With rapid urbanization in China, the scale of elderly migrants from rural areas to urban cities has increased rapidly from 5.03 million in 2000 to 13.4 million people in 2015. Methods: Based on the unbalanced panel data obtained from the Chinese Longitudinal [...] Read more.
Background: With rapid urbanization in China, the scale of elderly migrants from rural areas to urban cities has increased rapidly from 5.03 million in 2000 to 13.4 million people in 2015. Methods: Based on the unbalanced panel data obtained from the Chinese Longitudinal Healthy Longevity Survey, this study investigates the impact of changes to the New Cooperative Medical Scheme (NCMS) on the medical expenditure of Chinese elderly rural migrants by using seemingly unrelated regression models. Results: NCMS coverage for elderly rural migrants rose from 11.83% in 2005 to 87.33% in 2014. The effective reimbursement rate increased significantly from 4.53% in 2005 to 36.44% in 2014, and out-of-pocket/income fell by 50% between 2005 and 2014. The NCMS significantly increased the effective reimbursement rate by 12.4% and out-of-pocket medical expenditure/income by 7.5% during this decade but played an insignificant role in reducing out-of-pocket payments. Conclusions: Policy makers need to promote a two-pronged strategy, which involves controlling the excessive growth of urban medical expenses and continuing to reform NCMS reimbursements for medical treatment, so non-urban resident elderly rural migrants can fully enjoy the welfare benefits of migration and urbanization. Full article
(This article belongs to the Special Issue Rural Health Disparities)
14 pages, 1113 KiB  
Article
Continuous Rural-Urban Coding for Cancer Disparity Studies: Is It Appropriate for Statistical Analysis?
by Lusine Yaghjyan, Christopher R. Cogle, Guangran Deng, Jue Yang, Pauline Jackson, Nancy Hardt, Jaclyn Hall and Liang Mao
Int. J. Environ. Res. Public Health 2019, 16(6), 1076; https://doi.org/10.3390/ijerph16061076 - 26 Mar 2019
Cited by 16 | Viewed by 4180
Abstract
Background: The dichotomization or categorization of rural-urban codes, as nominal variables, is a prevailing paradigm in cancer disparity studies. The paradigm represents continuous rural-urban transition as discrete groups, which results in a loss of ordering information and landscape continuum, and thus may [...] Read more.
Background: The dichotomization or categorization of rural-urban codes, as nominal variables, is a prevailing paradigm in cancer disparity studies. The paradigm represents continuous rural-urban transition as discrete groups, which results in a loss of ordering information and landscape continuum, and thus may contribute to mixed findings in the literature. Few studies have examined the validity of using rural-urban codes as continuous variables in the same analysis. Methods: We geocoded cancer cases in north central Florida between 2005 and 2010 collected by Florida Cancer Data System. Using a linear hierarchical model, we regressed the occurrence of late stage cancer (including breast, colorectal, hematological, lung, and prostate cancer) on the rural-urban codes as continuous variables. To validate, the results were compared to those from using a truly continuous rurality data of the same study region. Results: In term of associations with late-stage cancer risk, the regression analysis showed that the use of rural-urban codes as continuous variables produces consistent outcomes with those from the truly continuous rurality for all types of cancer. Particularly, the rural-urban codes at the census tract level yield the closest estimation and are recommended to use when the continuous rurality data is not available. Conclusions: Methodologically, it is valid to treat rural-urban codes directly as continuous variables in cancer studies, in addition to converting them into categories. This proposed continuous-variable method offers researchers more flexibility in their choice of analytic methods and preserves the information in the ordering. It can better inform how cancer risk varies, degree by degree, over a finer spectrum of rural-urban landscape. Full article
(This article belongs to the Special Issue Rural Health Disparities)
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14 pages, 2220 KiB  
Article
Water Supply Challenges in Rural Areas: A Case Study from Central Kazakhstan
by Alua Omarova, Kamshat Tussupova, Peder Hjorth, Marat Kalishev and Raushan Dosmagambetova
Int. J. Environ. Res. Public Health 2019, 16(5), 688; https://doi.org/10.3390/ijerph16050688 - 26 Feb 2019
Cited by 59 | Viewed by 9147
Abstract
Rural water supplies have traditionally been overshadowed by urban ones. That must now change, as the Sustainable Development Goals calls for water for all. The objective of the paper is to assess the current access to and the perceived water quality in villages [...] Read more.
Rural water supplies have traditionally been overshadowed by urban ones. That must now change, as the Sustainable Development Goals calls for water for all. The objective of the paper is to assess the current access to and the perceived water quality in villages with various types of water supply. The survey was carried out during July–December 2017 in four villages in central Kazakhstan. Overall, 1369 randomly selected households were interviewed. The results revealed that even though villagers were provided with tap water, significant numbers used alternative sources. There were three reasons for this situation: residents’ doubts regarding the tap water quality; use of other sources out of habit; and availability of cheaper or free sources. Another problem concerned the volume of water consumption, which dropped sharply with decreased quality or inconvenience of sources used by households. Moreover, people gave a poor estimate to the quality and reliability of water from wells, open sources and tankered water. The paper suggests that as well decentralization of water management as monitoring of both water supply and water use are essential measures. There must be a tailor-made approach to each village for achieving the Sustainable Development Goal of providing rural Kazakhstan with safe water. Full article
(This article belongs to the Special Issue Rural Health Disparities)
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16 pages, 2102 KiB  
Article
Does County-Level Medical Centre Policy Influence the Health Outcomes of Patients with Trauma Transported by the Emergency Medical Service System? An Integrated Emergency Model in Rural China
by Dai Su, Yingchun Chen, Hongxia Gao, Haomiao Li, Jingjing Chang, Shihan Lei, Di Jiang, Xiaomei Hu, Min Tan and Zhifang Chen
Int. J. Environ. Res. Public Health 2019, 16(1), 133; https://doi.org/10.3390/ijerph16010133 - 06 Jan 2019
Cited by 3 | Viewed by 3061
Abstract
This study aimed to assess the effect of the county-level medical centre policy on the health outcomes of trauma patients transported by emergency medical service (EMS) system in rural China. The methodology involved the use of electronic health records (EHRs, after 2016) of [...] Read more.
This study aimed to assess the effect of the county-level medical centre policy on the health outcomes of trauma patients transported by emergency medical service (EMS) system in rural China. The methodology involved the use of electronic health records (EHRs, after 2016) of patients with trauma conditions such as head injury (n = 1931), chest (back) injury (n = 466), abdominal (waist) injury (n = 536), and limb injury (n = 857) who were transported by EMS to the county-level trauma centres of Huining County and Huan County in Gansu, China. Each patient was matched with a counterpart to a county-level trauma centre hospital by propensity score matching. Cox proportional hazard models were used to estimate the hazard ratios (HRs) of such patients in different hospitals. The HRs of all patients with the abovementioned traumatic conditions transported by EMS to county-level trauma centre hospitals were consistently higher than those transported by EMS to traditional hospitals after adjusting for numerous potential confounders. Higher HRs were associated with all patients with trauma (HR = 1.249, p < 0.001), head injury (HR = 1.416, p < 0.001), chest (back) injury (HR = 1.112, p = 0.560), abdominal (waist) injury (HR = 1.273, p = 0.016), and limb injury (HR = 1.078, p = 0.561) transported by EMS to the county-level trauma centre hospitals. Our study suggests that the construction of county-level medical centre provides an effective strategy to improve the health outcomes of EMS-transported trauma patients in Gansu, China. Policy makers can learn from the experience and improve the health outcomes of such patients through a personalised trauma treatment system and by categorizing the regional trauma centre. Full article
(This article belongs to the Special Issue Rural Health Disparities)
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12 pages, 961 KiB  
Article
Study on the Status of Health Service Utilization among 3–5 Years Old Left-Behind Children in Poor Rural Areas of Hunan Province, China: A Cross-Sectional Survey
by Yufeng Ouyang, Jiaojiao Zou, Meimei Ji, Yefu Zhang, Tong Yuan, Lina Yang and Qian Lin
Int. J. Environ. Res. Public Health 2019, 16(1), 125; https://doi.org/10.3390/ijerph16010125 - 04 Jan 2019
Cited by 7 | Viewed by 3714
Abstract
The left-behind children (LBC) in China generally refer to children who remain in rural regions under the care of kin members while their parents migrate to urban areas. Due to some reasons, e.g., poverty, poor transportation conditions, lack of health resources, and preschool [...] Read more.
The left-behind children (LBC) in China generally refer to children who remain in rural regions under the care of kin members while their parents migrate to urban areas. Due to some reasons, e.g., poverty, poor transportation conditions, lack of health resources, and preschool child care, it is hard for preschool-aged rural LBC to obtain essential health services. Random cluster sampling was used to recruit the caregivers and all the 3–5-year-old LBC in two rural counties in Hunan Province. A questionnaire was used to collect data on LBC demographics via face-to-face interviews with the caregivers. Health service needs were evaluated by the two-week prevalence rate, while health service utilization was measured by the two-week physician visit rate. Of the 559 respondents in the study, the two-week prevalence rate was 44.2% and the two-week physician visits rate was 48.6%. Nearly half of the sick children did not go to a hospital, 45.7% self-treated, and 5.3% did not take any treatment. The utilization rates of “health check,” “eye exam,” and “hearing screening for 3-year-olds” were extremely low (57.3%, 29.3%, 18.7%). The utilization rate of health services for preschool LBC in poor rural areas was extremely low, which can affect the normal growth and development of children. Full article
(This article belongs to the Special Issue Rural Health Disparities)
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13 pages, 2459 KiB  
Article
Medical Service Quality, Efficiency and Cost Control Effectiveness of Upgraded Case Payment in Rural China: A Retrospective Study
by Ruibo He, Ting Ye, Jing Wang, Yan Zhang, Zhong Li, Yadong Niu and Liang Zhang
Int. J. Environ. Res. Public Health 2018, 15(12), 2839; https://doi.org/10.3390/ijerph15122839 - 13 Dec 2018
Cited by 8 | Viewed by 3045
Abstract
Background: As the principal means of reimbursing medical institutions, the effects of case payment still need to be evaluated due to special environments and short exploration periods, especially in rural China. Methods: Xi County was chosen as the intervention group, with 36,104, 48,316, [...] Read more.
Background: As the principal means of reimbursing medical institutions, the effects of case payment still need to be evaluated due to special environments and short exploration periods, especially in rural China. Methods: Xi County was chosen as the intervention group, with 36,104, 48,316, and 59,087 inpatients from the years 2011 to 2013, respectively. Huaibin County acted as the control group, with 33,073, 48,122, and 51,325 inpatients, respectively, from the same period. The inpatients’ information was collected from local insurance agencies. After controlling for age, gender, institution level, season fixed effects, disease severity, and compensation type, the generalised additive models (GAMs) and difference-in-differences approach (DID) were used to measure the changing trends and policy net effects from two levels (the whole county level and each institution level) and three dimensions (cost, quality and efficiency). Results: At the whole-county level, the cost-related indicators of the intervention group showed downward trends compared to the control group. Total spending, reimbursement fee and out-of-pocket expense declined by ¥346.59 (p < 0.001), ¥105.39 (p < 0.001) and ¥241.2 (p < 0.001), respectively (the symbol ¥ represents Chinese yuan). Actual compensation ratio, length of stay, and readmission rates exhibited ascending trends, with increases of 7% (p < 0.001), 2.18 days (p < 0.001), and 1.5% (p < 0.001), respectively. The intervention group at county level hospital had greater length of stay reduction (¥792.97 p < 0.001) and readmission rate growth (3.3% p < 0.001) and lower reimbursement fee reduction (¥150.16 p < 0.001) and length of stay growth (1.24 days p < 0.001) than those at the township level. Conclusions: Upgraded case payment is more reasonable and suitable for rural areas than simple quota payment or cap payment. It has successfully curbed the growth of medical expenses, improved the efficiency of medical insurance fund utilisation, and alleviated patients’ economic burden of disease. However, no positive effects on service quality and efficiency were observed. The increase in readmission rate and potential hidden dangers for primary health care institutions should be given attention. Full article
(This article belongs to the Special Issue Rural Health Disparities)
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