Spatial spillover and the socio-ecological determinants of diabetes-related mortality across US counties

Turi, Kedir N.; Grigsby-Toussaint, Diana S.

doi:10.1016/j.apgeog.2017.05.005

Cited by 16 publications

(8 citation statements)

References 39 publications

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“…Costa-Font and Moscone estimated interdependence in the health spending decisions of neighbouring regions by the spatial lag model (SLM) and spatial error model (SEM) methods [38]. Turi and Grigsby-Toussaint used SDM to estimate the direct and indirect effects of socio-ecological determinants on diabetes-related mortality [39]. Tabb et al assessed the spillover effects of health factors on health outcomes across the United States by applying SDM [40].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources

Song

Wei

Deng

et al. 2019

IJERPH

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In China, upper-level healthcare (ULHC) and lower-level healthcare (LLHC) provide different public medical and health services. Only when these two levels of healthcare resources are distributed equally and synergistically can the public’s demands for healthcare be met fairly. Despite a number of previous studies having analysed the spatial distribution of healthcare and its determinants, few have evaluated the differences in spatial equity between ULHC and LLHC and investigated their institutional, geographical and socioeconomic influences and spillover effects. This study aims to bridge this gap by analysing panel data on the two levels of healthcare resources in 31 Chinese provinces covering the period 2003–2015 using Moran’s I models and dynamic spatial Durbin panel models (DSDMs). The results indicate that, over the study period, although both levels of healthcare resources improved considerably in all regions, spatial disparities were large. The spatio-temporal characteristics of ULHC and LLHC differed, although both levels were relatively low to the north-west of the Hu Huanyong Line. DSDM analysis revealed direct and indirect effects at both short-and long-term scales for both levels of healthcare resources. Meanwhile, the influencing factors had different impacts on the different levels of healthcare resources. In general, long-term effects were greater for ULHC and short-term effects were greater for LLHC. The spillover effects of ULHC were more significant than those of LLHC. More specifically, industrial structure, traffic accessibility, government expenditure and family healthcare expenditure were the main determinants of ULHC, while industrial structure, urbanisation, topography, traffic accessibility, government expenditure and family healthcare expenditure were the main determinants of LLHC. These findings have important implications for policymakers seeking to optimize the availability of the two levels of healthcare resources.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources

Song

Wei

Deng

et al. 2019

IJERPH

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“…The spillover effect commonly occurs on socioeconomic conditions and healthcare resources across neighboring areas. Future studies may consider further employing the Spatial Durbin model to estimate the direct and spillover effect of the change in the township characteristics on the DRPH [ 57 , 58 , 59 ]. Lastly, the overall adjusted R 2 value from GWR accounted for 28.37% of township-level DRPH rates which is less than one-third of the variance; whereas it is higher than that of other studies regarding influencing factors of other disease prevalence or mortalities in Taiwan [ 60 , 61 , 62 ]; room for improvement remains in our modeling.…”

Section: Discussionmentioning

confidence: 99%

Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis

Chuang

Chen

et al. 2021

IJERPH

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Diabetes-Related Preventable Hospitalization (DRPH) has been identified as an important indicator of efficiency and quality of the health system and can be modified by social determinants. However, the spatial disparities, clustering, and relationships between DRPH and social determinants have rarely been investigated. Accordingly, this study examined the association of DRPH with area deprivation, densities of certificated diabetes health-promoting clinics (DHPC) and hospitals (DHPH), and the presence of elderly social services (ESS) using both statistical and spatial analyses. Data were obtained from the 2010–2016 National Health Insurance Research Database (NHIRD) and government open data. Township-level ordinary least squares (OSL) and geographically weighted regression (GWR) were conducted. DRPH rates were found to be negatively associated with densities of DHPC (β = −66.36, p = 0.029; 40.3% of all townships) and ESS (β = −1.85, p = 0.027; 28.4% of all townships) but positively associated with area deprivation (β = 2.96, p = 0.002; 25.6% of all townships) in both OLS and GWR models. Significant relationships were found in varying areas in the GWR model. DRPH rates are high in townships of Taiwan that have lower DHPC densities, lower ESS densities, and greater socioeconomic deprivation. Spatial analysis could identify areas of concern for potential intervention.

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“…On the other hand, the availability of healthy dietary choices may be subpar, more expensive, or shelved in such a way as to be subordinate to energy-dense, low nutrient foods [99][100][101][102][103]. Such research demonstrates that the connections between socioeconomic inequalities, fast-food, and NCDs [104,105] (and it its most extreme end, mortality [106]) are not on a level playing field.…”

Section: Dysbiosis and The Mental Environmentmentioning

confidence: 99%

Down to Earth: Planetary Health and Biophilosophy in the Symbiocene Epoch

Prescott

Logan

2017

Challenges

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Advances in science have illuminated the role of the "ecological theatre"-the total living environment-in human health. In a rapidly changing epoch known as the anthropocene, microbiome science is identifying functional connections between all life, both seen and unseen. Rather than an easily identifiable era appearing in rock strata, the anthropocene is more of a diagnostic syndrome, a set of signs and symptoms including climate change, gross biodiversity losses, environmental degradation, and an epidemic of non-communicable diseases. The syndrome is intertwined with politics, economics, public policies (or lack thereof), social values, and a global push of calorie-dense, nutrient-poor foods and beverages. The healing of anthropocene syndrome is the grand challenge of humanity. Expanding on the "Mars Can Wait" argument of Geoffrey Goodman, et al., we focus on the urgency with which health promotion must be prioritized here on Earth. We revive Jonas Salk's biophilosophy: a call to action for collaboration between biologists, humanists, and scholars of all stripes. From this perspective, lines of distinction between personal, public, and planetary health are removed. We also describe the symbiocene: the possibility of a new epoch in which mutualism will be considered imperative. If society asks the right questions, a transition to the symbiocene is possible; the "stratigraphical" mark of the new epoch will be found in a repudiation of authoritarianism, and the promotion of empathy, cultural competency, emotional intelligence, and commitment to optimism, tolerance, and the facilitation of the WHO definition of health, i.e., the fulfillment of human potential.

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Spatial spillover and the socio-ecological determinants of diabetes-related mortality across US counties

Cited by 16 publications

References 39 publications

Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources

Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources

Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis

Down to Earth: Planetary Health and Biophilosophy in the Symbiocene Epoch

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