Geographic Disparities in Healthcare

2017 ◽  
pp. 227-246
Keyword(s):  
Geographic Disparities

scholarly journals An ecological approach to monitor geographic disparities in cancer outcomes

PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0218712
Author(s):  
Jinani Jayasekera ◽  
Eberechukwu Onukwugha ◽  
Christopher Cadham ◽  
Donna Harrington ◽  
Sarah Tom ◽  
...  
Keyword(s):  
Ecological Approach ◽  
Cancer Outcomes ◽  
Geographic Disparities

910 Geographic disparities in peripartum cardiomyopathy outcomes

2021 ◽  
Vol 224 (2) ◽  
pp. S565
Author(s):  
Lindsay S. Robbins ◽  
Jeff M. Szychowski ◽  
Ariann Nassel ◽  
Emily K. Armour ◽  
Zachary W. Walker ◽  
...  
Keyword(s):  
Peripartum Cardiomyopathy ◽  
Geographic Disparities

scholarly journals Age-related socio-economic and geographic disparities in breast cancer stage at diagnosis: a population-based study

2015 ◽  
Vol 25 (6) ◽  
pp. 966-972 ◽  
Author(s):  
Pegdwende O. Dialla ◽  
Patrick Arveux ◽  
Samiratou Ouedraogo ◽  
Carole Pornet ◽  
Aurélie Bertaut ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Population Based ◽  
Cancer Stage ◽  
Stage At Diagnosis ◽  
Population Based Study ◽  
Geographic Disparities ◽  
Age Related

scholarly journals Time Trends and Geographic Disparities in Acute Complications of Diabetes in Ontario, Canada

Diabetes Care ◽  
2005 ◽  
Vol 28 (5) ◽  
pp. 1045-1050 ◽  
Author(s):  
G. L. Booth ◽  
J. E. Hux ◽  
J. Fang ◽  
B. T.B. Chan
Keyword(s):  
Time Trends ◽  
Complications Of Diabetes ◽  
Geographic Disparities ◽  
Acute Complications

Geographic disparities in transplantation

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Paolo R. Salvalaggio
Keyword(s):  
Geographic Disparities

scholarly journals Geographic Disparities in Mortality Risk Within a Racially Diverse Sample of U.S. Veterans with Traumatic Brain Injury

Health Equity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 304-312
Author(s):  
Clara E. Dismuke-Greer ◽  
Mulugeta Gebregziabher ◽  
Tiarney Ritchwood ◽  
Mary Jo Pugh ◽  
Rebekah J. Walker ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mortality Risk ◽  
Racially Diverse ◽  
Geographic Disparities

scholarly journals Geographic disparities and socio-demographic predictors of pertussis risk in Florida

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11902
Author(s):  
Corinne B. Tandy ◽  
Agricola Odoi
Keyword(s):  
Resource Allocation ◽  
High Risk ◽  
Geographic Distribution ◽  
Temporal Changes ◽  
County Level ◽  
Spatial Clusters ◽  
Geographic Disparities ◽  
Demographic Predictors ◽  
Time Period ◽  
Over Time

Background Pertussis is a toxin-mediated respiratory illness caused by Bordetella pertussis that can result in severe complications and death, particularly in infants. Between 2008 and 2011, children less than 3 months old accounted for 83% of the pertussis deaths in the United States. Understanding the geographic disparities in the distribution of pertussis risk and identifying high risk geographic areas is necessary for guiding resource allocation and public health control strategies. Therefore, this study investigated geographic disparities and temporal changes in pertussis risk in Florida from 2010 to 2018. It also investigated socioeconomic and demographic predictors of the identified disparities. Methods Pertussis data covering the time period 2010–2018 were obtained from Florida HealthCHARTS web interface. Spatial patterns and temporal changes in geographic distribution of pertussis risk were assessed using county-level choropleth maps for the time periods 2010–2012, 2013–2015, 2016–2018 and 2010–2018. Tango’s flexible spatial scan statistics were used to identify high-risk spatial clusters which were displayed in maps. Ordinary least squares (OLS) regression was used to identify significant predictors of county-level risk. Residuals of the OLS model were assessed for model assumptions including spatial autocorrelation. Results County-level pertussis risk varied from 0 to 116.31 cases per 100,000 people during the study period. A total of 11 significant (p < 0.05) spatial clusters were identified with risk ratios ranging from 1.5 to 5.8. Geographic distribution remained relatively consistent over time with areas of high risk persisting in the western panhandle, northeastern coast, and along the western coast. Although county level pertussis risks generally increased from 2010–2012 to 2013–2015, risk tended to be lower during the 2016–2018 time period. Significant predictors of county-level pertussis risk were rurality, percentage of females, and median income. Counties with high pertussis risk tended to be rural (p = 0.021), those with high median incomes (p = 0.039), and those with high percentages of females (p < 0.001). Conclusion There is evidence that geographic disparities exist and have persisted over time in Florida. This study highlights the application and importance of Geographic Information Systems (GIS) technology and spatial statistical/epidemiological tools in identifying areas of highest disease risk so as to guide resource allocation to reduce health disparities and improve health for all.

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